I'm building Mochi, a small programming language with a custom VM and a focus on querying structured data (CSV, JSON, and eventually graph) in a unified and lightweight way.
It started as an experiment in writing LINQ-style queries over real datasets and grew into a full language with:
- declarative queries built into the language
- a register-based VM designed for analysis and optimization
- an intermediate representation with liveness analysis, constant folding, and dead code elimination
- static type inference, inline tests, and golden snapshot support
Example:
type Person {
name: string
age: int
}
let people = load "people.yaml" as Person
let adults = from p in people
where p.age >= 18
select { name: p.name, age: p.age }
for a in adults {
print(a.name, "is", a.age)
}
save adults to "adults.json"
The long-term goal is to make a small, expressive language for data pipelines, querying, and agent logic, without reaching for Python, SQL, and a half-dozen libraries.
Happy to chat if you're into VMs, query engines, or DSLs.
Still working on: an enclosure-compatible open-source version of the 2nd gen Nest thermostat. It reuses the enclosure, encoder ring, display, and mounts of the Nest but replaces the "thinking" part with an open-source PCB that can interact with Home Assistant.
- The encoder ring which works like an LED mouse, but in reverse: Fully reverse-engineered and on its own demo PCB
- The faceplate PCB, which does the actual control of the thermostat wires, has been laid out, but the first version missed a really-obvious problem involving the behavior on power-on with certain of the GPIO pins from the ESP32, so I've got rev 3 on order from the PCB manufacturer.
Nest Thermostats of the 1st and 2nd generation will no longer be supported by Google starting October 25, 2025. You will still be able to access temperature, mode, schedules, and settings directly on the thermostat – and existing schedules should continue to work uninterrupted. However, these thermostats will no longer receive software or security updates, will not have any Nest app or Home app controls, and Google will end support for other connected features like Home/Away Assist. It has been pretty-badly supported in Home Assistant for over a year anyway, missing important connected features.
Wow! Useful work, if that’s true about them planning to remotely nerf everyone’s product.
Yet another example of why not to buy a product that needs to be tethered to its manufacturer to work. Good luck. I’d be willing to beta test (I’d have to check what rev mine is)
This weekend, my modified Android/mobile Point of Sale (POS) app was used to celebrate the 100th anniversary of our village's volunteer firefighting organization.
The standard fiscal POS app was adapted to support a sort of low-trust swarm of waiters who used the app to collect orders. These orders were then transferred to a few high-trust cashiers by scanning QR codes generated on the waiters' apps.
After receiving payments, the cashiers' apps printed invoices and multiple "order tickets" categorized by "food," "drinks", "sweets"... This allowed waiters to retrieve items and deliver them to customers.
The system was used by around 40 users, with new waiters joining or leaving throughout the event. They used their own phones, and the app functioned without internet or Wi-Fi, gracefully downgraded (If a waiter didn't use the app due by choice or due to technical problems, they could manually relay orders to cashiers), Customers also had the option to approach cashiers directly, receive their order tickets, and pick up items themselves.
This is not that technically interesting, but I liked how the old manual system, the 70+ year village firefighting org. main cashier had, got digitalized in non-centralized way. (and I took this chance in trying to explain it, as I will have to, to maybe find more users for it)
After 10 years in defense tech, watching missile attacks in Ukraine and the Middle East made it clear how little most people really get about air defense. So I'm builiding this simulator which drops you into the operator’s seat. You can test out different scenarios and build an air defense network against various types of threats (stats from real world). Also have Ukraine, Israel-Iran scenarios.
Really cool. Wish I could see more of the system log messages, that's the most interesting part to me.
Tangential: do you have insights into viability of mini automated anti-drone turrets? Something you'd place on a truck or pull out of a trench when needed? We already have drones with shotguns. I guess it's the automatic acquisition and targeting that's the difficult part, but just how difficult is that?
really great, would make for a great tower defense style game as well. Start with few resources and learn what each capability can do. Defend against more complex/advanced threats over time.
Is the equipment efficiency meant to capture e.g. using a $1M missile to shoot down a $1k uav/rocket
I'm finally getting my online presence in order...
This week, I'll set up a Hugo blog with the Ed theme, love it, looks exactly what I'm looking for, and as a former LaTeX enthusiast, it's pretty close. It's readable, minimalist. I'll need to customize the theme, though. I plan to publish blog posts about anything I find interesting.
In parallel to this work, I'm setting up a simple system to keep my website + subdomains easy to build, rebuild, and deploy with Caddy on a cheap Scaleway compute server. In the past, I had some ideas I wanted to publish, but the system I went with made managing the sites dreadful.
Once that's ready, I'm back to learning Rust and crypto. It's fun, interesting, challenging, remote-friendly, and the salaries are usually 30-50% better. My current tech stack feels like a dead end: it has a low ceiling in terms of salary, the projects are generally not very interesting (I'm grateful for my current project, it's the best there is with this technology), and I believe the technology will see a slow and steady decline.
Apart from work, I'm building the playground for my 2 yo son, and planting blueberries, he loves them.
I made a film called "Searching For Kurosawa". This short documentary chronicles the story of Kawamura, a man who worked with legendary Japanese director Akira Kurosawa on the set of his opus "Ran". Kawamura was working in the BTS crew, but his footage got confiscated. It took almost 40 years to recover the footage and present that as his feature film.
My film got screened at the Academy Award-qualifying Bali International Film Festival and the Marina Del Rey Film Festival in the past month. It will be screening next month in New York City at the Asian American International Film Festival.
I've been working on a 3D voxel-based game engine for like 10 years in my spare time. The most recent big job has been to port the world gen and editor to the GPU, which has had some pretty cute knock-on effects. The most interesting is you can hot-reload the world gen shaders and out pop your changes on the screen, like a voxel version of shadertoy.
https://github.com/scallyw4g/bonsai
I also wrote a metaprogramming language which generates a lot of the editor UI for the engine. It's a bespoke C parser that supports a small subset of C++, which is exposed to the user through a 'scripting-like' language you embed directly in your source files. I wrote it as a replacement for C++ templates and in my completely unbiased opinion it is WAY better.
10 years? Man, I envy you. Seriously. You say you work on it in your spare time so it's no like is your life passion or something like that right? How do you keep momentum? I have hundred of never finished projects, and I really struggle to finish them or work on them enough to want to keep doing it. Teach me.
In all seriousness, I think I have the same propensity to have a hundred unfinished projects and have a hard time finding motivation to complete them. The difference might be that I have this 'big' project called a 'game engine' that wraps them all up into some semblance of a cohesive whole. For example, projects that are incomplete, but mostly just good enough to be serviceable (sometimes barely):
1. Font rasterizer
2. Programming language
3. Imgui & layout engine
4. 3D renderer
5. Voxel editor
.. etc
Now, every one of those on their own is pretty boring and borderline useless .. there are (mostly) much better options out there for each in their specific domain. But, squash them all together and it's starting to become a useful thing.
It just happened that I enjoy working on engine tech and I picked a huge project I have no hope of ever finishing. Take from that what you will
"I hate to advocate drugs, alcohol, violence or insanity to anyone, but they've always worked for me. --Hunter S. Thompson
Hah. I've been working on my own engine for over a decade, and I completely relate to this. I've torn it down and rebuilt it a few times, I've got multiple branches of it that are built for specific things... but when I want to do something I know it can't do, that could be easily done in some other engine, it just puts a bug up my butt to try and make my own code do that thing. Then I dive into code I haven't looked at for a few years and I realize that so many things could be improved. And I lose a week of sleep yak-shaving this thing that will almost definitely never be seen or used by anybody else. But I see it as a kind of craftsmanship and sharpening my own tools. I don't know another, better way to do that.
I am attempting to recreate Neuro-sama with existing trending new technologies. Quite useful now on repository https://github.com/moeru-ai/airi with over 1k stars.
Still working on the realtime, memory, and game playing part. If anyone is interested, feel free to join and build.
I'm working on a new app for creating technical diagrams - https://vexlio.com. It's an area with some heavyweight incumbents (e.g. Visio, Lucid) but I think there's good opportunity here to differentiate in simplicity and overall experience. I'm still in the fairly early phase, and I suspect I haven't quite found the best match of features to customers yet.
From a dev perspective this area has a ton of super interesting algorithmic / math / data structure applications, and computational geometry has always been special to me. It's a lot of fun to work on.
If anyone here is interested in this as a user, I'd love for any feedback or comments, here or you can email me directly: tyler@vexlio.com.
Gave it a quick try and it's really nice, the aesthetic defaults are great.
One thing I found unintuitive: I should be able to connect objects without having to select a new tool (the anchor points on hover should be clickable in any tool mode so I can connect objects on the fly).
It looks like a pretty interesting product so I really hate to be that guy but the FAQ page at https://vexlio.com/faq/ straight up doesn't work (whenever I click any of the questions, it does nothing). Also, wanted to know if there was anything in the pipeline to get a Desktop application which would work offline. In several places in the enterprise world especially, I do feel there would be scope for that. I would definitely pay for a desktop version which worked offline for example.
Whoops - FAQ issue should be fixed if you refresh (if it's still broken, give it some time for caches to be invalidated). Thanks for mentioning that!
Re: desktop version. The short answer is yes, probably, but I don't have a concrete timeline. I made tech and architecture choices from the beginning to make sure a cross-platform desktop version always remains possible. Frankly, the biggest obstacle for desktop is not the app itself, but distribution and figuring out a pricing model. The current solution for enterprise, business, and other interested people, is to self-host Vexlio, with separate licensing.
Awesome, thank you! If you or your colleagues have other LaTeX-related goals or wishes, do let me know. There's a lot of untapped opportunity there as well (IMHO).
After 2+ years of maintaining the FOSS lightweight Reddit frontend Redlib [0], I realized that my niche but extremely detailed knowledge and experience of using Reddit's endpoints might be useful. After reverse engineering the mobile app and writing code to emulate nearly every aspect of its behavior, plus writing a codegen framework that will auto-update my code from analyzing the behavior from an Android emulator, I can pretty easily replay common user flows from any IP around the world, collecting and extracting the data. Some use cases:
* OSINT (r00m101 just beat me to it by launching...)
* Research into recommendation algorithms, advertising placement algorithms, etc
* Marketing (ad libraries, detailed analysis of content given data not even exposed to the mobile app due to some interesting side channels, things like trend analysis, etc)
* Market research for products
* Sales teams can use it to find exact mentions of other products. Eg: selling crash reporting software? Look up your target accounts' brands and find examples of complaints.
Plus a few more with more imagination.
So I'm working on a site that allows user access to some of the read-only functions available here. Coming soon :tm:. Been really fun building it all in Rust, though :) If you're interested in anything here, email in profile.
Is there any interest in factoring the Reddit parts out of the UI code? I've been thinking of taking a stab at that myself but figured this would be a good place to ask if you have plans :)
Do you mean a way to have the Reddit app render content from some generic social media provider, while keeping the UI? I haven't thought about that yet. I'm sure it would be possible, but that would require tearing out a lot of backend code and replacing it 1:1. Most of my work has been on the network side of the app, and not much modification; just introspection and inspecting behavior.
My main question: why, do you like the UI? I honestly really hate the reddit app, I haven't seriously used it for browsing since I fixed up Libreddit into Redlib :)
I don't like the Reddit app personally but I also do like something a bit more dynamic than what Redlib offers. Personally I'm fine with JS on the frontend and frameworks like React as long as they're implemented well.
I'd also just like to play around with different styles of frontend just as a way to hack on things.
Ah, I see. You can get pretty far with Redlib as a base + modifying html templates. They're very flexible and easy to read/extend. Though it relies on public methods to access Reddit, not my mobile app secret sauce :)
~2 years ago, Reddit was cracking down on this type of usage. This lead to a mass exodus of users to lemmynet and other decentralized platforms.
What makes you special in this aspect? Seems you are small fish now, but if your niche project picks up steam. Nothing to stop them from cutting you off or forcing you to court/injunction and waste your personal resources.
That crackdown was for regular API usage aka just regular content access, which definitely isn’t special. Most other “reddit data access” sites either use some sort of headless browser or just the JSON endpoints, which are brittle and limited, whereas I can access the private mobile API that the app uses for ad/recommendation distribution at a much larger scale. These things aren’t accessible via the API. Picture it as: an API where you can access just content, vs having programmatic access to every piece of data the mobile app can access, which unintuitively is not limited to what the mobile app displays (there’s other interesting fields available).
I'm working on MedAngle, the world's first Super App for current + future doctors. An invite only platform, which has everything people in medschool/dental school and recent graduates need. From analytics, quizzes, summaries, x-rays , videos to tens of thousands of questions, ~100k+ students/doctors have solved over 100m questions, spent 10s of billions of seconds, and growing!
We're also working on the Premed Super App, same thing for people taking medical school entry exams like the MCAT or MDCAT.
I get to work with a bunch of top notch students and doctors, and I myself am the first ever full-stack technologist who also is a doctor in Pakistan, a country of 250 million people.
I am a PhD student and for a while now I'm designing and developing a distributed network protocol that enables dynamic resource allocation across heterogeneous nodes, to which I called Rank. It's designed to handle computational, network, and temporal resources in fully distributed environments without central controllers, but that could also handle a centralized environment.
Rank implements four core functions: discovery (finding paths between nodes), estimation (evaluating resource availability), allocation (reserving resources), and sharing (allowing multiple services to use the same resources).
What I think it makes it unique is its ability to operate in completely decentralized environments with heterogeneous nodes, making it particularly valuable for edge computing, cloud gaming, distributed content delivery, vehicular communications, and grid computing scenarios.
The protocol uses a bidding system where nodes evaluate their capability to fulfill resource requests on a scale from 0-1, enabling dynamic path selection based on current resource availability. I've implemented it in C++ and then also created a testing framework to validate its performance across different network topologies. This is still a work-in-progress and I am eager to publish results someday!
Thank you so must for your interest! I am working on publishing results and trying to create a proper webpage to reference Rank and all the documentation. My goal is to open this project as an open-source project as soon as I can so that everyone is able to build their solutions out of it and also contribute to the project. I'll keep you posted on that!
https://inlovingmem.com/ - is a tribute to my recently deceased mom that I vibe coded over the last week. I felt her life deserved to be celebrated widely but wanted to be sensitive to her privacy. I've also built in a number of interactive features for participation in funeral services etc, before, during, and after.
Folks have reached out about having an 'In Loving Memory Of' site for their loved ones, so I'm turning this into a side business to help out more with my (now widowed) father's retirement and care.
Building https://gemlink.app, gemlink is an Internet content collection management platform, which collects efficiently through browser extension, flexibly organizes through websites, and forms a value content network through social sharing mechanisms. It can also be used as a "Read Later" product alternatives. In a Twitter-like experience, save a content is equivalent to "tweeting" (if it's public), and if it's private, it's only visible to yourself.
I just took a fortnight off work with the intent of getting away from my laptop, but accidentally ended up making a listings site for London's independent / arts cinemas. As far as I can tell no such thing currently exists, and I feel like it should.
Obviously the main thing is getting the listings data, which as far as I know (mostly) isn't readily available any other way that scraping the cinemas' websites, for which I set this up as a separate-ish project[1]
You should do all kind of events by event type, not just movies. Concerts, workshops, open lectures... london.eventhose.com. Then you should find volunteers for other cities to do the same.
Time Out should have long done that but instead they stopped their print edition.
Just finishing the London indie cinemas is an ongoing challenge! But yeah it'd be great to branch out to other places, and cover other types of events.
Among many other things, I'm formatting many of my recipes and working on generating LaTeX to make a physical recipe book.
My son has inherited my love of cooking and baking, so we'll refine the book, add comments and photos, and eventually print and bind copies for our family and friends.
I also am hoping to laser engrave some old cookie sheets with one of my grandma's hand-written recipes. The problem I have is that it's rather faded, and I don't know yet how to make it pop for a good contrast.
A few months ago I launched SpiesInDC - https://spiesindc.com, a mail-based (as in the real mail) subscription service about Cold War history. Subscribers, ahem secret agents, receive packages every few weeks containing reproductions of famous documents, stanps from the USSR, Cuba, Czechoslovakia, coins, and other fun stuff. I keep refining the packages every week to make it better and it is so much fun.
Great, novel idea and great that you've been enjoying the process on your end. Is it possible to gift this? I couldn't tell from the Subscribe section where there's a shipping address field but no billing address information was needed. Sometimes the billing and shipping info have to be the same for payment to go through.
Yep it is possible to gift and in fact that is how most subscriptions come in. The latest round was because of Father’s Day. As for matching billing and shipping fields, not sure, everything has worked fine so far!
So the answer to this question is a funny one. I started using a Google spreadsheet to manage shipping dates and that quickly became a chore so like any good nerd would do I built a CRM which is now live if anyone wants to try it: https://6dollarcrm.com/
Wasn’t planning on announcing it here but what the hell.
If you don't mind answering, does this have any users besides you? I've got a few internal tools developed over the years that I don't have the bandwidth to turn into a proper SaaS (not much time for support, polish, new features, etc) but could potentially offer on an "as-is" basis for a token monthly sum but not sure if it would be worth the trouble.
I do plan on open sourcing more of the code over time. I also have started working on other sites using the same algorithm implementation (music, movies, video games)
This has just been a side project over the year generating passive income. I get around 250,000 page views a day, and with ads, memberships, and affiliate links I make around $2,500~ a month.
Tech stack is ruby on rails 8, postgresql 17, opensearch, redis, bootstrap 5.3 hosting on 3 servers on linode.
Ho, so you're the one that created that website. When I wanted to start reading more and I did not know where to begin, I found this site and started reading stuff from the top. It was incredibly useful to me, thanks!
Me and my friend are working on Workback[1], a tool that can fix a11y issues end-to-end.
First we built it as a tool to fix any bug. After talking to a few folks, we realized that it is too broad. From my own personal experience, we realized how messy it is within organizations to address accessibility issues. Everybody scrambles around last minute. No body loves the work - developers, PMs, TPMs etc. And often external contractors or auditors are involved.
Now with Workback, we are hoping to solve the issues using the agentic loop.
If you personally experienced this problem, would love to chat and learn from your experience.
The last couple of weeks I've been building 'Recivo', a very simple way to receive emails programmatically. There are plenty of API-based services that can be used to send emails, but receiving them is harder. My service exposes a simple REST endpoint + event webhook that makes it a 5 min setup to start receiving. Attachments are included as well.
The main use-cases I'm thinking of right now is triggering agents using email or a very simple document upload flow to any SaaS (just forward an email to the SaaS).
Long-term, passion project of mine - I'm hoping to make this the best typing platform. Just launched the MVP last month.
The core idea of the app is focusing on using natural text. I don't think typing random words (like what some other apps do) is the most effective way to improve typing.
We offer many text topics to type (trivia, literature, etc) where you type text snippets. We offer drills (to help you nail down certain key sequences). We also offer:
- Real-time visual hand/keyboard guides (helps you to not look down at keyboard)
- Extremely detailed stats on bigrams, trigrams, per-finger performance, etc.
- SmartPractice mode using LLMs to create personalized exercises
- Topic-based practice (coding, literature, etc.)
I started this out of passion for typing. I went from 40wpm to ~120wpm (wrote about it here if you're interested: https://www.typequicker.com/blog/learn-touch-typing) and it completely changed my perspective and career trajectory. I became a better programmer and writer because I no longer had to think about the keyboard, nor look down at it.
Currently, we're doing a lot of analysis work on character frequencies and using that to constantly improve the SmartPractice feature. Also, exploring various LLM output testing/observability tools to improve the text generation features.
Approaching this project with a freemium model (have paid AI powered features; using AI to generate text that targets user weakpoints) while everything else in the app is completely free. No ads, no trackers, etc. (Hoping to have sufficient paid users so that we can run the site and never have to even think about running ads).
I've received a lot of feedback and am always looking for ways to improve the site.
Hah that's pretty fun. I got tossed about by the animated hands for a few, but grabbed a 194 after that.
Dunno about the trigrams though, mostly it's on the "token group" level for me - either the upcoming lookahead feels familiar or it doesn't, and I don't much get bothered by the specific letters as much as "oh I don't have muscle memory on that word, and it's sadly nestled between two easy words, so it's going to be a patchy bit of alternating speed".
Thank you - glad you liked it and thanks for sharing your impressions and feedback; helps me understand what the users like.
> Dunno about the trigrams though, mostly it's on the "token group" level for me - either the upcoming lookahead feels familiar or it doesn't, and I don't much get bothered by the specific letters as much as "oh I don't have muscle memory on that word, and it's sadly nestled between two easy words, so it's going to be a patchy bit of alternating speed".
Could you elaborate a bit on this part - not sure I fully follow.
The trigrams/bigrams is mostly to help the user discover if there are some patterns that really slow them down or have a lot of mistakes. This is something I wanted that I didn’t see in any other apps.
This also what we use under the hood for SmartPractice weak point identification. We look at what the most relevant character sequences (for example the ta sequence is way more common than za) are and what the user struggles with the most. This is just one of the weak points we use in the user weakness profile.
What an incredibly interesting use of LLMs (generating text to practice typing). It leans in on what LLMs are good at. That said. I would love to see a middle tier pricing which had some features but avoided the AI use.
Yeah, LLMs are indeed really good for this use case.
> That said. I would love to see a middle tier pricing which had some features but avoided the AI use.
Only paid features are AI features. Everything else is free and no ads :)
You can type anything and as much as you want, you have access to all the advanced stats, you can create a custom theme from a photo of your keyboard, etc.
Everything but AI features is free right now. (Might change in future as we’re adding a lot more features so we will definitely consider a mid tier price )
Why avoid AI use? Genuine question, I see this around and it seems usually based on a mental model of the environmental cost of AI that does not match impact in the real world.
We're headed into an era of massive white-collar reskilling.
How you think > What you know.
Critical Thinking skills will be the most important skills as we AI expands throughout the economy and we're surrounding by LLMs that are highly fluent
Socratify is a Critical Thinking Coach that sharpens How You Think and Speak by Debating AI
It proposes interesting questions (currently business related) that you debate in 2 min conversation and get feedback on how you think and speak
I'm working on LLM translation research for my tool that teaches you a language while you browse by translating sentences at your level into the language you're learning (https://nuenki.app)
I've had some breakthroughs with LLM translation, and I can now translate (slowly, unfortunately) at a far far higher quality than Opus, and well above DeepL. So I'm considering offering that as an API, though I don't know how much people actually care about translation quality.
DeepL's customers clearly don't care - their website is all about enterprise features, and they appear to get plenty of business despite their core product being mediocre.
* A deterministic .NET runtime (https://github.com/Smaug123/WoofWare.PawPrint); been steaming towards `Console.WriteLine("Hello, world!")` for months, but good lord is that method complicated
* My F# source generators (https://github.com/Smaug123/WoofWare.Myriad) contain among other things a rather janky Swagger 2.0 REST client generator, but I'm currently writing a fully-compliant OpenAPI 3.0 version; it takes a .json file determining the spec, and outputs an `IMyApiClient` (or whatever) with one method per endpoint.
* Next-gen F# source generator framework (https://github.com/Smaug123/WoofWare.Whippet) is currently on the back burner; Myriad has more warts than I would like, and I think it's possible to write something much more powerful.
Not as exciting or big as some of the projects on here, but just a small personal one I’ve been wanting to do for a while.
I recently impulse bought an Epson receipt printer, and I’ve started putting together a server in Go to print a morning update every day. Getting it to print the weather, my calendar and todos, news headlines, HN front page. Basically everything I pick up my phone for in the morning, to be on paper rather than looking at a screen first thing. Very early days but hacking away and learning escpos/go! (Vibecoding a lot of it)
Wow this is a really interesting concept. I have had many ideas for how to loosen the grip of the digital maelstrom on my brain. You're right, not looking at the phone in the morning is critical, and reading a few things on a page seems a lot more weighty and important than flitting by things on a phone.
You have an interesting point. Screens are always changing and rarely taken seriously. Words on paper create a sense of weight and permanence. Make it work!
Repo: https://github.com/arajnoha/phodo
ultra minimalist web todo app (php+html+css).
stores everthing in single JSON, has a day view, allows you only to mark as done, delete and add. list days back and forth + jump to today. When task is added while listing days, its added to that listed day.
PHP and CSS are both below 100 LOC.
Im working on simplyfing the code further.
I tried really all of the "productivity" stuff to stay organised.
Got angry multiple times, went to pen and paper, was OK, but i felt i just need a slight glimps of tech to make it more functional. Something little more than plaintext file, but not much.
I’m trying to build a consolidated database of PFAS free products that make it easier for shoppers to find safe foods, cleaners, clothes, and other products families commonly use. The database shows not only the product, but the reason it’s considered pfas free; sometimes all you have to go on is the brands word, sometimes there is third party testing for pfas, sometimes there is a material issue justifying it. We tried to present it all for the consumer to easily decide. Users can search, or browse for products using categories.
I'm working on https://tickerfeed.net - a new kind of forum for stock market discussion.
After HashiCorp was acquired by IBM I decided to take time off from corporate life and build something for myself. For years I've also been a casual retail investor on the side.
Forums like /r/stocks and /r/wsb in the past have been useful resources for finding leads and interesting information. But meme-ification (among other factors) have substantially degraded sites like Reddit, to the point where interesting comments are much fewer and far in between. With TickerFeed I'm hoping to recapture what was lost - a platform where investors can discuss companies and all things stock market through meaningful long form content.
It's also a chance to build something with my dream stack - Go + HTMX + SQLite, and that's been fun :)
C# playground (compiler explorer) which runs entirely in a browser (via WebAssembly). Started as an alternative to SharpLab which is not maintained anymore. But it can also do some other stuff that I wanted like downloading any compiler version, and compiling Razor. Recently I've added some "IntelliSense" features to improve the editing experience.
I'm working on a video game called Astroloot[1], a mix of bullet-heaven and scifi-space ARPG. After two years, I've finally completed the main-campaign and now start with the endgame. Ever since playing Diablo 2, I've wanted to create an ARPG. Have to say, this project brought back the joy of programming for me.
How is it on SteamDeck? I see on Proton there is one review so far that the linux experience is good (and they call it Path of Exile in space which is about the best compliment).
After a lot of grief trying to make Plex and jellyfish to work with my collection, and then some more with the community [1] I decided to make my own.
There's no selling point and clear pathway to monetize, as other solutions are way more mature and feature complete, but this is my own and serves my needs the best.
I've been working on it on and off for last 8 years or so, and it's been my personal benchmark for js ecosystem. The way it works, every now and then I come back to the project, look at the latest trends in js world and ask myself a simple question - what should I change in the codebase to make it online with the latest trends. And everytime it leads to full rewrite. Kind of funny, kind of sad.
In a nutshell I have a huge movie collection - basically I'm preparing for armageddon where all online streaming services cease to exist and I need both backend to fetch me detailed information about movies in the collection as well as frontend to help to decide what to watch tonight.
My next major endeavor will be trying to integrate RAG to take a bite at my holy grail - being able to ask a question like "get me a good gangster flick" and get reasonable recommendations.
[1] I think it was jellyfish where I was asking on their forums for how to manually create a collection, stating I'm a software engineer with 20+ exp and they kept telling me that I shouldn't touch the code... While having an online campaign asking for volunteers to contribute to the codebase.
I'm trying to go the other way with my (simple) web apps- writing them so I don't have to rewrite them later. The whole UI is basically a form and a table, so I figured I should try.
For me that means Go + stdlib HTML templates (I want to try Gomponents at some point) to minimize dependencies. I copied the HTMX JS minified file into my source tree for some interactivity. I handwrote the CSS.
It looks very "barebones" (some would say ugly), but it's been solid as a rock. It's been a year and I haven't needed to update a thing!
I had my childhood heroes who were working on one of the first major app in Elbonia who helped me learn programming.
I remember asking them some 10-15 years later to help me with a project and they were like "sure, we'll do it CakePHP". Initially I was like "you mean in Cobol?". But then I realized they were masters of that tech, it works, and there's no need to reinvent the wheel and learn some new trendy web framework that will be forgotten in a blink of an eye.
For my 3D audio project I need an affordable way to make plastic cases. I felt like injection molding services are way overpriced, so I decided to make the molds in-house. Turns out, CNC milling is overpriced, too. As are 5 axis CNC mills. So in the end, we built our own CNC machine.
And like these things always go, I found an EMI issue with my power supply and a USB compliance bug in the off-the-shelf stepper control board. But it all turned out OK in the end so we now have the first mold tool that was designed and machined fully in-house. And I learned so much about tool paths and drill bits. Plus it feels like now that everyone has experienced hands-on how stuff is milled, my team got a lot better at designing things for cheap manufacturing.
Great to get experience in CNC! I've been working on how to market my GatorCAM for CNC. So I'll give you a copy! 2 birds!
It is easy to select multiple holes/pockets at once so if you iterate, you don't spend time redoing CAM!
It does traveling salesman to solve for efficient paths which even the expensive packages don't get right.
Calculates v-bit paths too.
Beyond the landing page (built with Astro), I've been building all of the route optimization, the delivery and warehouse management systems. A combination of go and java has allowed me to write a few microservices in the past 6 months to handle all of my logistical processes, and I'm just testing the mobile app in the field as we speak! I hope to make some of the code open-source one day!
This is interesting! Have you considered leveraging Google OR Tools[1] for route optimization? At a previous hyper-local eCommerce startup I worked for, we used it to solve similar problems. Although the setup and integration is not super easy, but the results far outweighed the effort.
I have considered it! I've opted for a more specialized optimization library that deals specifically in the Traveling Salesman Problem (https://github.com/graphhopper/jsprit). I will revisit this though, might come in handy pretty soon - thank you!
This is a super cool intersection of real world problems and software. How hard has it been to get customers? I assume trust is a big hurdle here. How are you approaching this problem?
Thank you! You've definitely identified the trickiest part, especially when you come in with a track record of, well...0 deliveries (I was in working in tech teams before this). Luckily, there are quite a few freight brokers in the NYC metro area, and they are willing to give you a trial period. Another way to approach is to work with smaller companies and offer discounts during the startup phase. (We're starting deliveries in August)
My girlfriend recently got into making sourdough and wanted to keep a log of all her recipes. She really wanted to explore the relationships between recipe water percentage and crumb density, or proof time and oven spring, for example. I built her https://sourdoughchronicle.com - a local first bread journal that allows peer to peer recipe and results sharing. Claude + aider had a MVP built in an hour and she's loving it! Oddly enough the comparison charts haven't made it in yet, but that's the next feature on the the to-do list.
I just quit my "day job" to work on a business I've built with some good friends! We make stingray-resistant booties -- ie, if you encounter stingrays in the shallows, these greatly reduce the chance you get stung (https://mydragonskin.com/). I'll be in charge of a couple marketing efforts, helping with Youtube, and other odd things that come up!
My day job required me to go into office frequently, and I'm really feeling the reduced social connection of being fully remote in a small company. Any suggestions how to deal with this? I'm planning to reconnect with old friends, surf a lot, go rock climbing, and maybe take dance / music / other classes. Would also love if anyone wants to work together in the same place (library, coffee shop, etc). I'm in Escondido California, but happy to drive ~30 min to meet folks.
It will help, but the bootie really is fine-tuned to stingrays, in some ways that might not be obvious. Stingrays strike with limited strength, so we measured tons of stingray strikes and designed to stop that. It won’t do much if you put all your weight onto a nail or something.
But if you want a balance of flexibility and stopping stingray stings, we really are the best. Nobody else is even trying, lol, the other options pretty much do nothing, or are encased in steel and not flexible at all.
Ya exactly, 2 layers of 2mm each, for a total of 4mm. They’re less warm than most 4mm booties would be though, because they’re intended for the protection. If you’re in SoCal that’s a feature — your feet should stay warm but not overheat :)
Classes and workshops, something with the same people that occurs over several weeks. But it’s important that the content is something you’re personally interested in.
I am working on a unit-aware arithmetic library for swi-prolog (1) modeled after the c++ mp-units library (2).
Turns out prolog is really well suited for this because:
* of its ability to store unit system data as code
* unit conversion is an iterative deepening depth first search
* manipulating symbolic arithmetic is so easy
Unfortunately, it requires users to compile swi-prolog for source because the library is using some unreleased features.
If anyone would like to test and report some feedback, I would be truly grateful !
* https://cijene.dev (HR, open source) - recently, Croatian retail chains were mandated to start publishing grocery prices online, but not how, so they made a mess of it; I've been building a crawler + unified API to avoid people duplicating the crawl/parse/cleanup effort (open source)
* https://trosko.hr (HR, Android/iOS app) - super-simple receipt/bill tracker (snap a photo of the receipt, reads it using Gemini, categorizes and stores locally - no accounts, no data gathering)
* https://github.com/senko/think (open source) - Python client library for LLMs (multiple providers, RAG, etc). I dislike the usual suspects (LangChain, LLamaIndex) but also don't want to tie myself to a specific provider, so chugging on my on lib for this.
Lets you create encrypted containers disguised as normal files. 1000s of images, pdfs, videos, secrets, keys all stuffed into an innocent look "Vacation_Summer_2024.mp4".
I've almost got true steganography working i.e to get the carrier file to actually open in any file system(currently with mp4, pdf, png and jpeg).
Things like this have existed in the past, but nothing with a simple UI,recent encryption standards.
Still on my sabbatical and continuing to build on things I enjoy rather than things that pay (for now).
Main focus is https://wheretodrink.beer, collecting and cataloging craft beer venues from around the world. No ambition of being exhaustive, but aiming for a curated and substantial list. After the last thread, a bunch of people added their suggestions, thanks! It helped add interesting new venues from cities I hadn’t covered yet.
I’m very slowly layering on features, and have a few spin-off ideas I’ll keep brewing on for later. The hardest problem thus far has been attempting to automate popularity rankings and automatic removal of defunct venues without breaching a bunch of ToS.
Also made https://drnk.beer, a small side project offering beer-related linkpages and @handles for Bluesky (AT Protocol). It's been on the backburner, but still very much live.
Probably looking for another small project for the next few months to focus on something else for a while.
Always curious to see what others are building and doing. Thanks for sharing!
Appreciate it! In the end, a lot of manual work to be honest.
Think around 5% is from visitors, 10-15% from my own experience and the rest just procrastination research.
Started with the cities I know well, and after that adding on countries or cities close by, main focus has been Europe. At one point I tried to use ratebeer's dataset as a starting point, before they closed down, but it was so horribly outdated and irrelevant that it was more work than sourcing manually.
So I basically look for existing blog-ish top-lists for a city, then try to verify the information with search, social media, untappd, etc. Looking for social proof that the venue is operational and relevant.
To keep it updated I have some very rudimentary monthly tasks to ping a venue's website and notify me on things that signal they're closed. I also email myself a list of 10 random venues with all relevant links daily, so I can do a manual 5 min alive check.
Hej, I made FisherLoop[1] to learn Swedish. FisherLoop are interactive
audiobooks where I use TTS with word level timestamps to highlight the
words as they are spoken. This helps me pick up on pronounciation and
grammar in a, for me, natural way. Additionally, I added flashcards from
the books + word lookup. I am adding new books right now. If you have any
requests: public domain books, which are around one hour reading time let
me know :)
I am using cerebras for book translations and verb extraction and all LLM
related tasks. For TTS I am using cartesia. I have played around with
Elevenlabs and they have slightly natural sounding TTS but their pricing is
too steep for this project. Books would cost a couple of hundred euros to
process.
Did you use the hi@... email? I am seeing a hard bounce for that email. Not sure how to debug that right now. All my emails I have tested have worked. Could you try a different email while I debug?
I'm still working on Habitat. It's a free and open source, self-hosted platform for communities to discover their local area. The plan is for it to be federated, but that's a while off yet. I've made some good progress recently. I've added the ability to temporarily freeze user accounts, custom WYSIWYG editing for sidebar content and functionality that allows the administrator to set site-wide announcements to appear and disappear at specific dates/times. I also got some great feedback from users of my instance of it for my local town and so fixed some bugs.
Lately, I’ve been exploring a few interconnected ideas:
Local-first web applications with a compiled backend – After eight years working on web platforms, the conventional stack feels bloated. The client already defines what it wants to fetch or insert. Usually through queries. So why not parse those queries and generate the backend automatically (or at least, the parts that can be)?
Triple stores as a core abstraction – I’ve been thinking about using a triple-based model instead of traditional in-memory data structures, especially in local-first apps. Facts could power both state and logic, and make syncing a lot simpler.
Lower-level systems programming – I’ve mostly worked in high-level languages, but lately I’ve been writing C libraries (like hash maps) and built a minimal 32-bit bare-metal RISC-V OS.
It’s all still brewing, but I think these ideas tie together nicely. What if the OS didn’t have a file system and just a fact store? Everything could be queried and updated live, like a Lisp machine but built on facts.
Some other things I’ve been playing with:
A jQuery-like framework and element factory - You can pass signals that automatically updates the DOM.
A Datomic-like database on top of OPFS - where queries become signals that react to new triples as they enter the system. Pairs well with the framework above.
Working on a platform to host and share 3D Gaussian Splatting models.
The key goal is that the creators of 3DGS models can use Blurry as a powerful tool to build the 3D experience that is performant, simple, and aesthetically pleasant for end users (viewers).
3DGS models can be shared via a link or embedded on a website, notion, etc..
While Cursor stops after writing great code, Vide goes the extra mile and has full runtime integration. Vide will go the extra mile & make sure the UI looks on point, works on all screen configurations and behaves correctly. It does this by being deeply integrated into Flutters tooling, it's able to take screenshot/ place widgets on a Figma-like canvas and even interact with everything in an isolated and reproducible environment.
I currently have a web version of the IDE live but I'm going to launch a full native desktop IDE very soon.
Building cables for multiple personal and professional projects, I was frustrated by having to cobble together harness diagrams in Illustrator or Visio, cut snippets from from PDFs for connector outlines, map pin-outs, wire specs, cable constructions, mating terminals, and manually updating an Excel BOM.
Splice gives you:
An SVG canvas to drag-and-drop any connector or cable from your library to quickly route and bundle wires. Assign signal names to wires or cable cores.
Complete part data
Connector outlines, pin-outs, terminal selections (by connector family & AWG), cable core colors & strand counts, wire AWG/color.
Automated BOM & exports parts-ready diagrams, wiring drawings, and a clean BOM in SVG, PNG, or PDF.
Connector & Cable Creators. Connectors or cables not in the existing library can be added with an optional outline and full specs (manufacturer, MPN, series, pitch, positions, IP-rating, operating temp, etc.), then publish privately or share publicly.
No signup required to try—just jump in and start laying out your harness: https://splice-cad.com/#/harness. If you want to save, sign up with Google or email/password.
omg, I wish there was a service like jlpcb / pcbway but for cable harnesses.. do you know of any? I'd love to take something like your tool and choose length and quantity and order it....
Thanks for the comment...yes, I've had that thought many times. There's on demand fab for about everything else, but no low-volume cable house with auto-quoting and a nice design interface.
I’m working on https://finbodhi.com — a double-entry personal finance tool where you own your data. It’s local-first, syncs across devices, and everything’s encrypted in transit.
It helps you track, understand, and plan your personal finances — with a proper accounting foundation.
It's interesting in many way. Using double-entry (it's a perspective shift), the technical challenges of building local-first app, UI/UX & visualizations, privacy and more.
> A: Your financial data is stored locally on your device. ...
Good stuff! This was the first thing I checked, and it means I am now reading more about the app. Really nice to see this approach.
I know this is still WIP, but is feedback ok? The plan buttons say "Get starterd" which is a funny typo :) Also, I was not sure, but is this a website app, or a local app? For local data, I would strongly prefer an actual local app. Some screenshots of how it looks on multiple devices (directly comparable, as in, this is the same view and same data on iOS/Mac) would be great. Finally, do you have bank links? _The_ killer app I want in a personal finance app, and you'd be surprised how many make this really difficult, is to track my actual income and spending.
I signed up for your newsletter. Rare for me to do. Looking forward to hearing more!
I'm tinkering with relative positional encoding by trying to integrate acoustic features directly into it.
More specifically, I'm trying to use pitch (F0) to dynamically adjust the theta parameter in rotary positional embeddings, so the frequency of the positional encoding reflects the underlying pitch contour of the speech and instead of using a fixed unit circle (radius=1.0) for complex rotations, I'm trying to work out how to use variable radii derived from the pitch. The idea is to create acoustically-weighted positional encodings, where the position reflects the acoustic salience in the original audio. https://github.com/sine2pi/asr_model
I'm building StaticBot.dev. I was surprised how tedious the manual setup for hosting static websites on AWS infra still was after 2 decades in the industry, and as I wanted to put a few websites out there to test waters for some ideas I had recently, decided to tackle it myself. So basically scratching very own specific itch: deploying and managing a fleet of static project websites in AWS infrastructure with IaC and nice UI. I wouldn't myself use something with (hidden) vendor lock-in, so opted for "hybrid" approach where user can deploy conveniently using the tool but has up-to-date terraform code avaiable in s3 so can take over project deployment anytime. Not much of a business mind so I might open source the whole thing later on (though the value of code kind of plumetted lately as AI can generate it so well).
An iOS client for Cloudflare. Surprisingly, there’s none out there, maybe because nobody needs it? I do, so I’ve created one and it’s now available on TestFlight [0].
Another interesting thing I’ve recently discovered is that LLMs are pretty great at vetting tenancy agreements, so I’m working on a website that reads tenancy agreements and will return a list of unfair clauses that might be present in the contract along with a detailed explanation of how you should follow up with the landlord/agency. I still need to finish it but if you’re interested it’s here [1].
http://axcas.net is an online computer algebra system I've been working on. I'm working to finish the programming language which is based on C, and I'm adding an ode solver which I plan to use to evaluate special functions.
I release code into the public domain hoping it will be useful. There's some fast code for Groebner basis computations using the F4 algorithm (parallelized - article to follow), and some routines for machine integers e.g. discrete logarithm, factoring, and prime counting.
I'm writing a decompiler for Turbo Pascal 3.0, to reverse engineer an educational game from the 80s.
Since TP 3.0 does no optimisations, and looking at the progress so far (~25% decompiled), it seems like matching decompilation should be achievable.
If/when I get to 100%, I hope to make the process of annotating the result (Func13_var_2_2 is hardly an informative variable name) into a community project.
Neat! I sometimes play around with the idea of reverse engineering and transcompiling a tiny game that I think was probably written in Turbo Pascal 4.0. Maybe 4.0 supported optimizations, but this program seems to have been compiled in a debug mode. (At least, it seems to have no optimization, and has the default {$S+} stack overflow checking at the start of every function.) The lack of optimization makes it (and perhaps other programs written in Turbo Pascal) a really attractive artifact to experiment with transcompiling. When I realized that only the first segment was the actual game, and the other three segments corresponded to standard units used for I/O (etc.), which could be harder to analyze, I realized I could just omit those segments and replace them with new functions suitable for the transcompilation target. Maybe some day I'll get around to finishing it.
It's similar with Turbo Pascal 3.0, but there's only one segment since it's a good old COM file. The compiler just copies its own first ~10000 bytes, comprising the standard library, and splices the compiled result to the end.
I can see how this makes transcompilation relatively straightforward, although the real mode 16-bit code is a bit unpleasant with all the segment stuff going on, so you might as well just decompile :D. It's very possible that similar instructions will be emitted in 3.0 and 4.0 for the same source input.
My program also has the stack checking calls everywhere before calling functions. I think that people using Pascal weren't worried about performance that much to begin with, so they didn't bother disabling it.
I'm working on an MCP to give your coding agent the ability to generate on-demand Mermaid diagrams about anything in your codebase. Among other benefits, it is very helpful for spotting unnecessary code or architecture that can accumulate while vibe coding.
My Carnatic Raga classifier is progressing very well. I am now training a classifier to identify 142 ragas.
A bit of background: I have been working on a Raga classifier since November of last year - I started with just 2 ragas and a couple megabytes of audio. After experimenting with a lot of different ideas and Neural Net Architectures, I finally landed on one that could scale. I increases to 4 ragas, then 12, then 25 and then to 65.
All the training is done locally on my desktop (RTX4080, AMD 7950X, 64G RAM). My goal is to make an app for fast inferencing (preferably CPU) and to get this app in the hands of enthusiasts so that I can get some real data on its efficacy. If that goal is hit, then my plan is to iterate and keep increasing the raga count on the model and eventually release to the public. As long as I can get the model to either run locally or for very cheap on server, I hope to not charge for this.
It has been an amazing learning experience. The first time I got a carnatic singer to sing and the model nailed almost all ragas was the highest high I've felt in a while.
https://weexpire.org - An opensource tool for creating emergency notes that can be read by your trusted contacts only after your death or if you are seriously injured.
I'm not actively working on it daily, as I have shortage of free time and helping hands, but the HTTP Spec Test Suite is my Moby-Dick. I wrote about it here: https://www.caffeinatedwonders.com/2024/12/18/towards-valida..., I also discussed it on the HTTP WG mailing list and presented it at the HTTP WG Workshop last year.
They are both sort of an obsession and itches of mine, but between dayjob and school, I barely have a chance to have the clear mind to give them the attention they require.
I've been off work for two weeks to recover from surgery, and have been playing with a couple projects throughout the day between rest and physical therapy:
- A home-rolled router/firewall: Using yocto to create a distribution for a router/firewall for my home network. It started as an exercise in wanting to have more control over the security of my home network, as well as see how nice of a UI/UX I can tease out of an LLM. It's also part of a (seemingly never ending) consolidation of homelab services.
- A SNES Reverse Engineering setup: A nephew of mine is starting to get into video games and is starting with a SNES but his system broke. I'm working on helping repair the console, but am also trying to set up an effective "LLM + Ghidra + SNES emulator + image generation AI + asperite plugin" to allow him to swap sprites and text in games to add some creativity and learning to the experience.
- A personal assistant system: Experimenting with agents to create a personal assistant for our house, and seeing to what extent the agents can be helpful and how much hardware is required to run something like that in-house.
- aztui: A TUI for exploring and interacting with Azure resources. I'd like to add some caching/pre-fetching logic to make the interaction with the interface snappier (one of the main motivators to create it).
I've been using GPT pretty heavily throughout, and it has been a lot of fun both using it, and spending some dedicated time looking at the models themselves along with the frameworks that support running and integrating them.
Mostly writing for myself; I should really convert some drafts into proper blog posts because I'm really interested in discussing my ideas with others.
I've been thinking a lot about the current field of AI research and wondering if we're asking the right questions? I've watched some videos from Yann LeCun where he highlights some of the key limitations of current approaches, but I haven't seen anyone discussing or specifying all major key pieces that are believed to be currently missing. In general I feel like there's tons of events and presentations about AI-related topics but the questions are disappointingly shallow / entry-level. So you have all these major key figures repeating the same basic talking points over and over to different audiences. Where is the deeper content? Are all the interesting conversations just happening behind closed doors inside of companies and research centers?
Recently I was watching a presentation from John Carmack where he talks about what Keen is up to, but I was a bit frustrated with where he finished. One of the key insights he mentions is that we need to be training models in real-time environments that operate independently from the agent, and the agent needs to be able to adapt. It seems like some of the work that he's doing is operating at too low of an abstraction level or that it's missing some key component for the model to reflect on what it's doing, but then there's no exploration of what that thing might be. Although maybe a presentation is the wrong place for this kind of question.
I keep thinking that we're formulating a lot of incoherent questions or failing to clearly state what key questions we are looking to answer, across multiple domains and socially.
True. I believe the most important question right now is… how to solve for memory.
RAG and/or Fine-tuning is not the way.
Another topic is security, which would consist of using Ollama + Proxmox for example, but of course, right now, as emergent intelligence is still early, we would have to wait 2-3 years for ~8 B parameter local models to be as good as ChatGPT o3 pro or Claude Opus 4.
I do believe that we are close to discovering a new interface. What is now presenting itself through IDE’s and the command line (terminal)… I strongly believe we are 1-2 years away from a new kind of interface, that is not meant for developers only.
That feels like an IDE, works like a CLI, but is intuitive as Chrome is for browsing the web.
https://inspo.dev - The idea is a chrome extension that let's you iterate ridiculously fast on frontend web components - click one button, select the element like you're using Chrome's inspect dev tools, press generate, and 60 seconds later, AI has given you ~7-10 new variations on how you could style that component, with the code ready to implement.
Struggling to get the generated iterations to be up to a standard I'm happy with at the moment, but improving every day!
We're building a chat app that automatically creates and manages your to-do list right from your conversations.
I started this for a simple reason: I was tired of the soul-crushing 'copy-paste' work of moving decisions from Slack over to Notion or Jira. So much context gets lost in that process, and it just creates more "work about work."
Our core idea is simple: a chat message and a to-do item shouldn't be two separate things you have to keep in sync. In Markhub, the conversation is the task. It's not a copy; the conversation itself becomes the to-do, and all the context is automatically preserved.
Our bigger vision is to do for collaboration what GitHub did for Git. We’re not reinventing chat or kanban boards; we’re building the seamless 'workflow layer' on top that finally makes them work together.
We're currently in a private beta and would love to hear from HN users who feel this same pain. We’ve been fortunate to get early traction with large enterprise clients (including a ~$200k on-premise deal), but now we're looking for feedback from smaller, agile teams.
Vibe coding https://www.threegen.ai/, a fresh take on social media powered by generative AI. Unlike typical AI content workspaces, threegen is an Instagram-like product with these core vibes:
- Reimagined Feed: Ditched the traditional noise—see the prompt and model behind each creation, get inspired, and check out top curated models’ performance. No more digging to figure out how the magic happens.
- Template Remixing: Creators can drop reusable templates for others to remix and build on, speeding up that creative flow.
- Curated Models: Handpicked the best for images, videos, audio, and text—think Costco quality, no endless searching or tweaking needed.
- Infinite Canvas: Reworked the workflow with an upcoming infinite workspace where creators can prompt, drag, and drop to mash up content across media.
- Built for Non-tech Creatives: Driven by our AGI-for-The-Rest-of-Us mission, it’s tailored for non-technical creators to turn imagination into reality.
- Flexible Pricing: No wasted credits—top up for up to 30% extra, never expire, plus member discounts on curated top-tier voice, image, video, and text models.
Happy to chat if you’re also into vibe coding, building consumer AI.
This month I released USBSID-Pico v1.3 pcb via PCBWay and Retro8BitStore and yesterday firmware version v0.5.0-BETA.
The new pcb now supports mixed MOS6581 / MOS8580 chips (voltage) at the same time and new firmware brings a lot of tweaks and improvements making Commodore64 digitunes play better on Windows.
USBSID-Pico is a RPi Pico (RP2040/W RP2350/W) based board for interfacing one or two MOS SID chips and/or hardware SID emulators over (WEB)USB with your computer, phone, ASID supporting player or USB midi controller.
I've built a cli tool to help extract content from webpages into markdown.
This was an experiment to get used to a new workflow using claude-code and task-master.
It doesn't require an LLM or api keys to run so you can install and go.
Hope it helps somebody:
Created a dashboard to help people figure out what renewable energy solutions they could use for their homes in the U.K. https://renewable-home.verdient.co.uk/
Reading through the Terms of service in websites is a pain. Most of the users skip reading that and click accept.
The risk is that they enter into a legally binding contract with a corporation without any idea what they are getting themselves into.
How it started: I read news about Disney blocking a wrongful death lawsuit, since the victim agreed to a arbitration clause when they signed up for a disney+ trial.
I started looking into available options for services that can mitigate this and found the amazing https://tosdr.org/en project.
That project relies on the work of volunteers who have been diligently reading the TOS and providing information in understandable terms.
Light bulb moment: LLM's are good at reading and summarizing text. Why not use LLMs for the same. That's when I started building tosreview.org. I am also sending it for the bolt.new hackathon.
Existing features:
Input for user entered URLs or text
Translation available for 30+ languages.
Planned features:
Chrome/firefox extension
Structured extraction of key information ( arbitration enforced , jurisdiction enforced etc).
Working on a 1.0.0 launch for Flyde - https://flyde.dev/, an open-source visual programming language. It works great for embedding visual AI flows for backend logic. Integrates with TypeScript code, runs on VSCode & Node.js (via a runtime library, in-repo, no containers needed)
Would love to chat with people looking to combine n8n-ish capabilities in their code!
https://DocCheetah.com - aiming to help accountants chase clients for their documentation. Launched, not got any traction, spent a little bit on advertising through LinkedIn. Probably need to execute more targeted marketing and more problem validation.
https://Full.CX - still hums along in the background. Couple of customers. Just added MCP which has been amazing to use with AI coding agents. Updating the UI/UX to ShadCN to improve usability and make it easier for future changes replacing NextUI and Daisy.
Appio lets you add mobile widgets and native push notifications to your web app within minutes—without building or maintaining mobile apps, hiring developers, or dealing with app stores.
You can try it at: https://demo.appio.so/
If you’re building a web-based product without a mobile app, or just want to try Appio, I’d love to chat! You can reach me directly via https://my.appio.so/ or drop a comment here.
This is something I’ve needed myself over the last few years as jobs become shorter and shorter lived. Keep on improving it as some kind of compulsion.
We're working on a Container Registry for https://molnett.com. We don't really want to use Harbour as we want to manage our own AuthN/AuthZ and are fully multi-tenant, so we decided to build our own on top of Distribution.
Going from Manifest to OCI is a bit tricky and performance for calculating total storage based on metadata is hard to get right. But the result is that we own our full registry implementation and can take it any direction we want. Quite happy with that!
I’m working on a desktop app called With Audio https://desktop.with.audio a one time payment desktop app.
— it turns ebooks, articles, and documents into synchronized audio with real-time text highlighting. It’s great for people who prefer listening while reading (or want to stay focused), and it works fully offline with a one-time purchase — no subscriptions.
I’m bootstrapping it and trying to figure out how to market it effectively. So far, I’ve had some traction and early sales just by posting on Reddit, but I’m still learning the marketing side — especially how to reach people who’d benefit from it most.
Would love to hear how others approached early growth for similar bootstrapped tools.
I'm working on a simple app to give a second life to old phones and tablets, turning them into an extra screen with virtual keys (like Touch Portal but free, open source and Linux-first).
Nothing to show yet, still in development, I hope I can share a github link in one or two months.
I’ve been working on an app called Lång. It’s a calm daily spending guide – shows you what’s okay to spend today, based on how much needs to last how long.
The idea came from noticing how most people manage money day to day: checking their balance, adjusting by feel, trying not to drift. There are tons of tools for planning or categorising, but not much that fits that kind of improvised pacing.
Still early, but trying to shape it around those habits – to make something simple and steady, that supports how people already do things.
I finally compiled and expanded on all my various blog posts, tutorials and other Python goodness into a book: Working with Python. It is available as a free pdf download at: https://mkaz.blog/working-with-python/
It's grown over a dozen or so years and when I finally decide to compile into a book, everyone now uses AI and no longer read and learn from books but instead through LLMs.
Fantastic. I wish I'd started on writing something like this years ago (although I'd wanted to teach explicitly rather than having a collection of how-tos).
> when I finally decide to compile into a book, everyone now uses AI
This is part of what discourages me from starting now, sadly. That, and having more concepts for actual Python projects than I know what to do with.
Great book! I already use python for some simple projects and your book is in the perfect level of practicality that I need.
Thank you!
Suggestion: create an epub version as well. It would be awesome to read it on a kindle or other e-ink devices.
> everyone now uses AI and no longer read and learn from books
Not me, I read the shit out of documentation and also books like yours which distill knowledge from professionals down to a bunch of useful points. I have never not learned something (even if I knew and forgot it) from reading a good book about "Working with X".
Thanks for your hard work, and for giving it away to others gratis.
I'm still working on hcker.news, which first started as a more configurable hacker news frontpage, but has turned into a thing that I've found to be quite helpful at content discovery.
I recently by request[0] added a cohesive timeline view for hn's /bestcomments. The comments are grouped by story and presented in the order that they were added to the /bestcomments page. It's a great way to see popular comments on active topics. I'm going to add other frills like sorting and filtering, but this seems to be as good a time as any to get some of your thoughts!
I'm building https://zenquery.app — a tool for querying large CSV, JSON, Parquet and Excel files using plain English. No SQL or coding required.
As a data engineer, I regularly have to dig through massive files to debug issues or validate assumptions — things like missing column values, abnormally large timestamps, inconsistent types, or duplicate records. It’s tedious and time-consuming, and that’s what led me to build this.
ZenQuery makes it quick and easy to explore data locally, without needing to spin up notebooks, write scripts, or upload anything to the cloud. It’s also useful for doing lightweight analytical QA if you're working with business data.
Hey.. we are using this one in our company for past week. It's working great.
But, can you please add gdrive connection support to it? Our company mainly uses gdrive for all collaboration and would help to have a direct integration with it. As of now I first have to download the files (they are small files, but still).
Also, for marketing teams would be helpful to have a subscription based team bundle plan instead of a one time purchase per device! For example on my company I know that our marketing team would benefit a lot from using a tool like this. Anyways, great tool. Good job
Working on a silly side project called SinkedIn — a parody of LinkedIn but just for posting failures, screwups, and embarrassing moments. Staging is live here: https://sinkedin-staging.vercel.app/ and GitHub repo is:
https://github.com/Preet-Sojitra/sinkedin. Pushing to production soon. UI is rough, I’m not a frontend person — bear with me! All sorts of contributions are welcome.
Maybe. Actually I was not aware of this site when I started working on this. I am thinking to give pure anti-linkedin vibes to sinkedin. I still don’t really have a proper vision of which direction to take this in.
I'm working on a simple, local storage budgeting app called "Wasa Budget". I wrote it because I got tired of tracking my budget on excel sheets.
It's written in flutter, it works well enough that I was able to entirely ditch the excel sheets now.
I want to publish it on Google play, but I need testers. If anyone cares about budgeting, I'd love to get some feedback.
I just added you to the testers list. The link should work now.
Word of warning, Google is pretty dumb and even requires testers to pay for the app. It's going for 3$, but I can reimburse everyone who helps me test once the testing phase is finished
a Slack and Discord app to help take turns (i.e. queue) with your teammates, overwhelmingly used for sharing tech resources like staging servers. It's crazy something that started so tiny (almost as a joke for my old workplace) has grown into my main "thing".
an infrastructure configuration monitoring solution for terraform/opentofu managed stacks. I am unsure how to proceed with this tbh. It's sort of the underdog in this space - it's much cheaper than the competitors. But really, it's yet to make a dent.
(I am maybe prowling around for something new to build)
I wrote the articles/exercises/projects a few years ago, but now I've made interactive coding and quiz widgets, using Pyodide, Lit, web workers, etc.
All open source:
https://github.com/pamelafox/proficient-python
I’m working on https://plennur.com, a scheduling tool for planning meetings, receiving sign-ups, etc.
Many alternatives (like Doodle) are full of ads, which makes their products unusable. My goal is to try and make the internet a little better place by offering a free version without ads.
Currently rethinking what a scheduling platform should look like in 2025, perhaps with AI integration to ease the planning process.
The premise is that when I read social spaces like Reddit or X, if the government has done anything contentious you get nothing more than strident left takes, or strident right takes on the topic. Neither of which is informative or helpful.
So I have set up a site which uses AI which is specifically guided to be neutral and non-partisan, to analyses the government actions from the source documents. It then gives a summary, expected effect, benefits and disadvantages, and ranks the action against 19 "things people care about" (e.g. defence, environment, civil liberties, religious protection, etc.)
The end result is quite compelling. For example here's the page that summarises all the actions which are extremely beneficial or disadvantageous to individual liberties: https://sivic.life/tyca/tyca_individual_liberties/
Still working on https://periplus.app, and recently started to see some traction.
It's an environment for open-ended learning with LLMs. Something like a personalized, generative Wikipedia. Has generated courses, documents, exams and flashcards.
Each document links to more documents, which are all stored in a graph you grow over time.
Thanks for the positive feedback (and the sub)!! Means a lot.
No socials so far as I've mostly been posting updates on the Anthropic discord. But I made an X account for it just now (@periplus_app) where I'll mirror the updates.
You can also reach me any time by email for bug reports, feature reqs etc.
I'm thinking about my career and where I'm to go next. Some times I feel I haven't gone deeply enough into the tech I use, and some times I feel like I'm barely scratching the surface of what I've already learnt in my life. I'm not sure what the answer is, at some companies I feel like I'm not enough and at others I feel like I'm surrounded by BS that doesn't deserve a chance. I wonder also if this is the end of my career, but I do enjoy software to be honest, and I love building things even today.
i'm interested in procedural landscape generation, trying to create an algorithm to generate infinite terrain from a heightmap examplar, very fun and tons of research papers to read
I've been working on my own version of a literate programming system (https://github.com/adam-ard/organic-markdown). It's kind of a mix of emacs org-mode, jupyter, and Zettelkasten. But, because it's based on standard pandoc-style markdown, you can use it with a much wider range of tools. Any markdown editor will do.
Even though I made it as a toy/proof of concept, it's turned out to be pretty useful for small to medium size projects. As I've used it, I've found all kinds of interesting benefits and helpful usage patterns. I've tried to document some; I hope to do more soon.
The project is at a very early stage, but is finally stable enough that I thought it'd be fun to throw out here and see what people think. It's definitely my own unique spin on literate programming and it's been a lot of fun. See what you think!
I wrote a simple app last year that put all my Apple Watch workout routes on a simple map, so I can see how much of the city I’ve covered (all existing options were paid, and I was too cheap for it). Now I have some time, so rewriting it properly that’s based on neighbourhood, completion %s, achievements and etc. It’s weirdly fun, because I’m not a mobile engineer, but satisfying to see hundreds of users per month using my app.
Also, every region has different ways of representing a “neighbourhood”, so I get to learn how to extract viable data from each city. Lots of map stuff, I’m genuinely enjoying it!
Not Squadrats, but I've checked out some others, like CityStrides. There were a few problems though:
- It felt like what I wanted to achieve is pretty simple (GPS coordinates -> display all on the same map), so didn't want to subscribe for a monthly fee. I couldn't actually find an app that would dump all my HealthKit data directly onto the map, which was surprising.
- Last year when I wrote my app, I wanted to see how fast I can learn simple mobile development loop
- Now, I couldn't really find anything that divides the coverage areas into real-world neighbourhoods. So, think of West Village of NYC, or Yorkville in Toronto, or Yoyogi in Shibuya and etc. Back when I used to live in Vancouver, I would look at my own app, and kinda say in my head "aight, I've walked through every street in West End, Vancouver". Figured it would be cool to have a proper way of tracking it. So working on it currently.
- It's kinda fun to work on an app for my own needs
I'll take a look at the squadrats though! Looks pretty cool.
FOSS toolkit for SRS and adaptive tutoring systems. Inching closer to proper demos and inviting usage.
In essence, I'm looking to decouple ed-tech content authoring (eg, a flash card, an exercise, a text) from content navigation (eg, personalizing paths and priorities given individual goals and demonstrated competencies), allowing for something like a multi-sided marketplace or general A/B engine over content that can greatly diminish the need to "build your own deck" for SRS to be effective.
Project became my main focus recently after ~8 years of tiny dabbling, and I've largely succeeded at pulling spaghetti monolith into a sensible assembly of packages and abstractions. EG, the web UI can now pull from either a 'live' couchdb datalayer or from statically served JSON (with converters between), and I'm 75% through an MVP tui interface to the same system as well.
I'm trying to make i18n easier, integrate it better with CI/CD and automate it more with LLMs (for now in Go, second priority is TypeScript and other languages later).
For this I had to develop a completely new approach and subsequently a specification for the "textual internationalization key" (TIK) which are programmatically translatable to ICU MF.
Toki is the first TIK processor implementation for Go.
1. A general-purpose Bitemporal Data Schema using SQLite (for storage) and Clojure (for data processing).
I'm trying to see if I can "get away with it": no schema migration, no fixed views, one tenant per DB, local-first-friendliness.
The general approach is "Datomic meets XTDB meets redplanetlabs/Rama meets Local First". Conceptually, the lynchpin "WORLD FACTs" table looks like this:
| tx_id | valid_id | tx_t | valid_t | origin_t | entity | attribute | value | assert | namespace | user | role |
|--------+----------+---------+---------+----------+--------+-----------+-------+--------+---------------+------+------|
| uuidv7 | uuidv7 | unix ms | unix ms | uuid7 | adi | problems | sql | 1 | org.evalapply | adi | boss |
2. "Writing for Nerds"
A workshop I've been experimenting with, using willing friends as guinea pigs. To help people remove friction from being able to "spool brain to disk". The sales-y part is here, with more context / explanation about what it is about and what it is not about: https://www.evalapply.org/index.html#writing-for-nerds
- format BigQuery SQL queries better (in my opinion). Support configurations for: maximum line length, standardize casing for SQL keywords and builtin functions (upper or lowercase). BigQuery UI does support formatting but the output doesn't look as "eye-catching" as I want.
- auto converting between standard SQL syntax and pipe syntax in BigQuery. Most queries work but some are not supported (for now - only case I see not supported as query that involves star expression in a group by since it requires the knowledge the underlying column of the table to work - though I haven't seen anyone writing this kind of group by query yet during my work)
- bring all the nested CTE to the outer of the query. this will be helpful such as BigQuery doesn't allow nested CTEs inside a recursive query. (recursive CTE will be handy if you have a CTE that is referenced multiple times - in such case, you can use recursive CTE to materialize that CTE so it is calculated once)
All this is done with the help of ZetaSQL library. I've done the code but have not yet have time to create a simple UI for it yet :)
My background is in NLP, research, and startups. I joined a power company where I saw a clear opportunity to use AI for automating equipment inspection from drone images.
But the environment made it hard to move fast. The systems were outdated, and there wasn’t much support for building AI tools in-house. That experience made me realize I needed to grow beyond the modeling layer. There were things I wanted to build, but I didn’t yet have the full skill set to do it on my own.
So I’ve been learning full stack development. I had built a small chatbot app before, but this time I’m applying what I’m learning toward a focused MVP for the inspection work. It’s been a practical way to connect what I know with what I want to make real.
Funny, I actually have a very similar story, where the plan was also to use drones/AI for inspection of power equipment. For the same reasons as you I quit to work on my own projects, but I discarded the drone project and went another way. Best of luck!
I'm building an app[1] (repo[2]) that helps you visualize perspectives and details about complex problems so that it's easier to figure what to do about them.
Right now it's basically a diagramming app specifically for the domain of problem-solving. I think an issue with it is that it's too hard for new users, so I've spent the last few weeks UX designing a view (figma prototype[3]) that I think is more intuitive to use (though sacrifices some features).
I'm currently working on code design for this view and am hoping to implement in the next few weeks!
Building a JS implementation of serverlessworkflow.io that runs on the edge.
Wanted workflow orchestration without infrastructure to store workflow JSON/YAML in database/S3/CDN/whatever and execute it on Cloudflare Workers, in the browser, etc.
The magical part about the serverless workflow spec: native JSONSchema support for inputs/outputs at both workflow and task level. This creates composable, Lego-like tools for AI agents - each tool is just a workflow reference that can be fetched on the fly.
In my spare time I'm working to finally complete creating my own blog/site.
It's built using Nuxt because I've never really played with Vue before and it seemingly comes with all I need for a static, markdown-powered blog. I guess what's been stopping me was me bothering too much about "When is it good enough to be online?" and "What should the first post be?". But I'm trying to get rid of the perfectionism by just putting it out there and just posting something. I think I'll reflect on this in the first post.
1) A website to measure and detect coil whine. It's been bugging me on my new Dell screen, but Dell says "it's within specs".
2) An AI-generated artwork platform with open firmware for Eink frames.
3) Server Radar: https://radar.iodev.org
Conjtest is a policy-as-code CLI tool which allows you to run tests against common configuration file formats using Clojure. You can write policies using Clojure functions or declarative schemas against many common configuration file formats such as YAML, JSON, HCL, and many others (full list in repo).
Under the hood, it uses Babashka and SCI (Small Clojure Interpreter) to run the policies and Conftest/Go parsers for compatibility with Conftest (https://www.conftest.dev/). It’s also possible to bring your own parser or reporting engine using Babashka scripting.
The initial big pieces are in place now, I’m preparing my end of the year to talk about Conjtest and get some feedback/issues to work on.
Open source quiz creator to create quizzes by pasting in text or selecting from a large range of historical categories.
Started as a very simple app for me to play around with OpenAI’s API last year then morphed into a portfolio project during my job search earlier this year. Now happily employed but still hacking on it.
Right now, a user can create a quiz, take a quiz, save it and share the quiz with other people using a URL.
Here's the summary:
- read all your sources - public websites, docs, video
- answer questions with confidence score and no hallucinations with citations
- cut support time and even integrates directly into your customer facing chatbots like Intercom
Still deliberating on the business model. If anyone would be interested in taking a look, I would love to show you.
I think if you allow a set of YouTube videos as input, it'll be quite powerful coupled with transcription ability of LLMs. Lots of people consume content that way. As an added bonus, you can show the performance summary about the sections the user did well or not so well on with video links to those timestamps for them to go back and review.
I am working on building a custom PDF Web Component. With this web component, you can
- Create your own PDF editor with custom UI with the help of public methods which are exposed in the web component.
- You can add dynamic variables/data to the templates. What this means is you create one template, for example, a certificate template with name and date as variables and all you have to do is upload your CSV / JSON of names and dates, and it will generate the dynamic PDFs for you.
- It's framework-agnostic. You can use this library in any front-end framework.
It's still in early development, and I would love to connect with people who have some use cases around it.
Prepbook https://prepbook.app a way to collect, organize and consume recipes. You can add a recipe from a link, YouTube video or type it by hand. It's just text, you don't have to fill 27 different text boxes for each ingredient/step. It parses the ingredients and lets you scale the recipe. It has no ads and no spam. It's still in an early phase, your feedback is highly appreciated!
We're building Zigpoll (https://www.zigpoll.com), a survey platform focused on zero-party data collection — think post-purchase attribution, customer feedback, and segmentation — all done directly on your site without relying on third-party cookies or offsite links.
We initially built it for Shopify, but now it’s fully embeddable, supports headless implementations, and integrates with tools like Klaviyo, Zapier, n8n, and Snowflake. One thing we’re especially proud of is how fast and unobtrusive it is: polls load async, don’t block rendering, and are optimized for mobile and low-latency responses.
From a tech angle:
Frontend is all React, optionally SSR-safe.
Backend is Node.js + Postgres, with a heavy focus on queueing + caching for real-time response pipelines.
API-first design (public API just launched: apidocs.zigpoll.com).
We recently open-sourced our n8n integration too.
If you're a dev working on ecom, SaaS, or even internal tooling and need a non-annoying way to collect structured feedback, happy to chat or get you set up. Feedback welcome — especially critical stuff. Always looking to improve.
After something like 15 years, I'm building again my pc from scratch. I'm learning a ton about those new technologies and how all the pieces fits together. It's a lot of fun.
I fixed my poetry website[1] - mainly by ripping out TailwindCSS and replacing it with a few lines of vanilla CSS, and adding a canvas library so I could include some of my graphic poems[2] on the site. I also wrote some new poems to complete the spruce-up.
I’ve been building my wife a budget tracking dashboard for reporting on PPC ad campaigns.
At any given time, she’s working with any number of clients (directly or subcontracted, solo or as part of a team) who each have multiple, simultaneous marketing campaigns across any number of channels (google/meta/yelp/etc), each of which is running with different parameters. She spends a good amount of time simply aggregating data in spreadsheets for herself and for her clients.
Surprisingly we haven’t been able to find an existing service that fits her needs, so here I am.
It’s been fun for me to branch out a bit with my technology selections, focusing more on learning new things I want to learn over what would otherwise be the most practical (within reason) or familiar.
The idea is it helps you create palettes that have predictable color contrast built-in, so when you're picking color pairs for your UI/web design later, it's easy to know which pairs have accessible color contrast.
For example, you can design your palette so that green-600, red-600, blue-600, all contrast against grey-50, and the same for any other 600 grade vs 50 grade color, like green-600 vs green-50.
That way you won't run into failing color contrast surprises later when you need e.g. an orange warning alert box (with different variations of orange for the background, border, heading text and body text), a red danger alert box, a green success alert box etc. against different color backgrounds.
Anonymization of PII data in documents using diffusion models - I'm in the process of reproducing academic papers. The idea is you can replace sensitive information from financial/medical documents with synthetic analogues without visually altering them, so they can be kept/used for AI training
I've made a utility that uses LLMs to compare specifications against implementations, called "semcheck" (semantic checker). I’ve often found that even though I set up Cursor rules or CLAUDE.md files, the implementation tends to drift away from these documents. I built this utility to be run as a pre-commit or CI step to check that they are still the same.
Finally had a project where I could use Go in, I built a small tool that runs a set of queries in Gitlab's code search, puts the result in a database, and generates a chart comparing two search results; the objective is to monitor adoption of a component library / design system over time.
I've been quite obsessed about ramping up (technically complex, not basic crud/wrappers) SaaS development with Gen AI tools, speeding things from months to weeks to days. But then I hit a snag: operations are the new bottleneck. How can I support all of these products, let alone promote them or find customers? My focus shifted to agents, and I realized that access for these AI bots was a major hurdle, despite all the MCPs available.
The thing is, we’ve been retrofitting software made for humans for machines, which creates unnecessary complications. It’s not about model capability, which is already there for most processes I have tested, it’s because systems designed for people are confusing to AI, do not fit their mental model, and making the proposition of relying on agents operating them a pipe dream from a reliability or success-rate perspective.
This led me to a realization: as agentic AI improves, companies need to be fully AI-native or lose to their more innovative competitors. Their edge will be granting AI agents access to their systems, or rather, leveraging systems that make life easy for their agents. So, focusing on greenfield SaaS projects/companies, I've been spending the last few weeks crafting building blocks for small to medium-sized businesses who want to be AI-native from the get-go. What began as an API-friendly ERP evolved into something much bigger, for example, cursor-like capabilities over multiple types of data (think semantic search on your codebase, but for any business data), or custom deep-search into the documentation of a product to answer a user question.
Now, an early version is powering my products, slashing implementation time by over 90%. I can launch a new product in hours supported by several internal agents, and my next focus is to possibly ship the first user-facing batch of agents this month to support these SaaS operations. A bit early to share something more concrete, but I hope by the next HN thread I will!
Happy to jam about these topics and the future of the agentic-driven economy, so feel free to hit me up!
This is written entirely in 6502 assembly, and uses a fun new mapper that helps a little bit with the music, so I can have extra channels you can actually hear on an unmodded system. It's been really fun to push the hardware in unusual ways.
Currently the first Zone of the game is rather polished, and I'm doing a big giant pixel art drawing push to produce new enemies, items, and level artwork to fill out the remainder of the game. It's coming along slowly, but steadily. I'm trying to have it in "trailer ready" / "demo" state by the end of this calendar year. Just this weekend I added new chest types and the classic Mimic enemy to spice things up.
In terms of capabilities, graphically it's something like MMC5 (8x8 attributes and a bunch of tile memory) while sound wise it's almost exactly VRC6. The real nifty feature though is ipcm: it can make the audio available for reading at $4011
It turns out the APU inside the NES listens to writes to $4011 to set the DPCM level, which many games use to play samples. By having the cartridge drive it for reading, I can very efficiently stream one sample of audio with the following code:
inc $4011
So I just make sure to run that regularly and hey presto, working expansion audio on the model that doesn't normally support it. It aliases a little bit, but if I'm clever about how I compose the music I can easily work around that.
Working on a platform to create virtual personas for social media and educational content. The personas have a consistent personality, looks and voice. Content can be scheduled on social media channels. It is still very much work in progress but already live as a generic content creation platform. https://postcrest.com
Also working on an email communication assistant https://merel.ai creates draft responses for gmail and outlook based on your company data, email history, website content and extensive organisation settings. Still work in progress as well.
I've built a Reddit-like community platform in Go. Users can create their own sub-communities, and within them, set up different categories and boards. Posts can be voted on, and board types can include regular posts, Q&A, or live chat. It's like a hybrid of Reddit and Discord but leans more towards a traditional web community. It also supports server-side rendering, making it SEO-friendly. This project is an extension of my previous Hacker News clone, dizkaz (https://news.ycombinator.com/item?id=43885998). I'm currently working on implementing submission rate limiting and content moderation, which is a bit challenging, but it should be ready for launch soon.
I'm working on a little website to summarize discussion trends across the podcast ecosystem. I wrote about an early prototype here[1] and also gave a presentation about it a few months ago[2] and now I'm working on an expanded "daily pulse" view across hundreds of episodes of top news podcasts from the last few days.
My secret agenda is to explore how the "information supply chain" can be tracked across the data-processing stack all the way from the original audio through transcription, the processing pipeline, and UI. I'm using language models for multi-stage summarization and want to be able to follow the provenance of summaries all the way back to the transcripts and original audio.
This is a super neat concept. I would find it really cool to be able to see a "map" of podcast topics, wherein I can click to specific segments in specific podcasts. Even cooler would eventually be the ability to stitch together clips about the same topics from separate podcasts, eventually.
One of the slides in my presentation has the full prompt I used, in case that's useful. I ran it on chunks of the podcast transcript and then merged/deduplicated the results to get the data that's visualized here.
I am in the early design phases for a local-first software forge, intended for unreliable networks. I should be able to continue tinker open source software, and limited collaboration, even if network access is unreliable.
This is starting to overlap with building a tool server for personal AI agents.
I'm working at BundleJoy: a Shopify app for creating boxes (bundles) with a better CX and some nice features (quantity rules, packaging options, collect customer input, etc).
I’m exploring two different applications of AI for education and skill-building:
1. Open-Source AI Curriculum Generator(OSS MathAcademy alternative for other subjects)
Think MathAcademy meets GitHub: an AI system that generates complete computer science curricula with prerequisites, interactive lessons, quizzes, and progression paths. The twist: everything is human-reviewed and open-sourced for community auditing. Starting with an undergrad CS foundation, then branching into specializations (web dev, mobile, backend, AI, systems programming).
The goal is serving self-learners who want structured, rigorous CS education outside traditional institutions. AI handles the heavy lifting of curriculum design and personalization, while human experts ensure quality and accuracy.
2. Computational Astrology as an AI Agent Testbed
For learning production-grade AI agents, I’m building a system that handles Indian astrology calculations. Despite the domain’s questionable validity, it’s surprisingly well-suited for AI: complex rule systems, computational algorithms from classical texts, and intricate overlapping interpretations - perfect for testing RAG + MCP tool architectures.
It’s purely a technical exercise to understand agent orchestration, knowledge retrieval, and multi-step reasoning in a domain with well-defined (if arcane) computational rules.
- Has anyone tackled AI generated curricula? What are the gotchas?
- Interest in either as open-source projects?
Insurance is negative NPV. Trying to make it NPV neutral by giving people tools to self-insure. Starting with an app that lets you self-insure your phone with friends and family.
It’s real, my friends and I all pay premiums every month, we’ve put aside $1100 so far. Work on it nights and weekends with one of my fellow policy holders. Feedback would be super appreciated.
The library of public domain classics is courtesy of Standard Ebooks. I publish a book every Saturday, and refine the EPUB parser and styler whenever they choke on a book. I’m currently putting the finishing touches to endnote rendering (pop-up or margin notes depending on screen width) so that next Saturday’s publication of “The Federalist Papers” does justice to the punctilious Publius.
I built an IPC/RPC shim for a Chrome extension so I can send strongly-typed messages between isolated JS contexts that otherwise expose wildly inconsistent messaging APIs.
I discovered that VSCode has a very nice solution so I pulled the core VSCode libraries and injected them into a Chrome extension using the dependency injection, ipc / rpc, eventing to bridge the gap between all of these isolated JS contexts and expose a single, strongly‐typed messaging API, my IPC/RPC shim sits on top of each of the native environments and communication mechanisms.
Yesterday, Microsoft released the source code for the Copilot chat. Apparently, since the basis of my Chrome extension is the same core libraries I can drop the VSCode chat UI into the side panel without much friction. Although, I might continue to use Microsoft's FluentUI chat currently implemented in the extension.
Because Copilot chat has a lot of code that runs in node in Electron, now I'm working in porting all the agent capabilities for browser automation from the Copilot chat including the code for intent, prompt creation, tools, disambiguation, chunking, embedding, ect. I'm 4 to 6 weeks away from having feature parity of Playwright for automation from a Chrome extension side panel that can do most of the inference using huggingface transformer.js locally. Nonetheless, heuristics exposed as tools such that if the intent is playing a video, all that is required is a tool that collects all the video tags and related elements with metadata. No need to use $10 in tokens to figure out which video element to play.
Yeah, I think I'm 4 to 6 weeks away from having a Copilot chat in a browser doing agent automation.
Updating a treatment of a finite difference approach to Schrodinger's equation from WebGL to WebGPU, using WebGPU compute shaders. Having actual arrays for data storage is so much cleaner than the older approach with textures for data storage and fragment shaders for computations.
https://www.vizitsolutions.com/portfolio/webgpu/compute/
Once this is caught up with the earlier version, I'll be extending it in terms of additional numerical issues and techniques and use it to build explorable educational content in 1-D quantum mechanics. Eventually, on to 2-D quantum mechanics.
I welcome feedback, just keep in mind that this is a work in progress, and I haven't even reviewed it for clarity and typos.
I have a nice garden going right now. TAM Jalapeños have taken the longest to flower, almost thought they wouldn’t. Sweet cherry peppers have been plentiful. Lost my zucchini crop to squash vine borers.
I’m building Proflect — a tool that blends goal-setting, journaling, and feedback to help people grow with more structure and insight. Just launched the landing page at https://proflect.io and would love thoughts on the concept.
a Finnish security engineer, a Swedish datacenter engineer, and myself built a self-hosted continuous deployment system that is built around a blue-green deployment strategy. (Inspired by AWS internal systems) we wanted a system that can integrate with any cloud service, VM provider, and/or bare metal.
We built this together at a previous organisation and moved all the internal and external services at that organisation to this system (It allowed the org to satisfy the ISO27001 requirements).
After being in operation for a couple of years, we have collected a lot of insights and feedback on what to change/improve for the open source version.
This summer I’m setting aside some time to work on making those changes for an open source version of what we call “Vanir”.
(Seems like good timing with the initiatives in EU to take back some ownership of the cloud stack).
No LLM or AI magic. Just simple state machines, extendable configuration, and a lovely GUI (web-based, no JavaScript).
The tech stack is python3, postgresql, ansible, and django.
I made Peekly[0] because I was tired of feeling FOMO about all the stuff happening in AI, dev tools, indie hacking, etc. I couldn’t keep up with blogs, feeds, and newsletters — it was too much.
Peekly pulls from high-quality sources using LLM + retrieval, then sends you a regular digest with just the most relevant content according to your interests. You can even give it custom prompts to control what it finds and how it summarizes — super useful if you want a particular angle on a topic.
YC folks can use code YC256 for an extra free month (on top of the 14-day trial).
Would love to hear what you think!
Can you write more, please? Self-hosted MCP servers... I get the value, I'm curious to see how it behaves or how to use with a random server with random data.
That animated demo (in the 'see it in action' section) looks really impressive. And what are you using to draw the diagrams?
I was hoping to make a piano practice assistant for my kids, that would take sheet music in MusicXML format, listen to the microphone stream, and check for things they frequently miss like rests, dynamics, consistent tempos.
Surprisingly the blocker has been identifying notes from the microphone input. I assumed that'd have been a long-solved problem; just do an FFT and find the peaks of the spectrogram? But apparently that doesn't work well when there's harmonics and reverb and such, and you have to use AI models (google and spotify have some) to do it. And so far it still seems to fail if there are more than three notes played simultaneously.
Now I'm baffled how song identification can work, if even identifying notes is so unreliable! Maybe I'm doing something wrong.
Here's an algorithm I cooked up for my (never completed) master's thesis:
It's based on the assumption that the most common frequency difference in all pairs of spectrum peaks is the base frequency of the sound.
-For the FFT use the Gaussian window because then your peaks look like Gaussians - the logarithm of a Gaussian is a parabola, so you only need three samples around the peak to calculate the exact frequency.
-Gather all the peaks along with their amplitudes. Pair all combinations.
-Create a histogram of frequency differences in those pairs, weighted by the product of the amplitudes of the peaks.
When you recognise a frequency you can attenuate it via comb filter and run the algorithm again to find another one.
Note detection works ok if you ignore the octave. Otherwise, you need to know the relative strength of overtones, which is instrument dependent. Some years ago I built a piano training app with FFT+Kalman filter.
Cool, I'll give it a shot. So far I've just been blindly feeding into the AI and crossing my fingers. I'll try displaying the spectrogram graphically, and I imagine that'll help figure out what the next step needs to be.
I was thinking this would be a good project to learn AI stuff, but it seems like most of the work is better off being fully deterministic. Which, is maybe the best AI lesson there is. (Though I do still think there's opportunity to use AI in the translation of teacher's notes (e.g. "pay attention to the rest in measure 19") to a deterministic ruleset to monitor when practicing).
I always wanted to do a keyboard/tablet combo (maybe they make these, I don't know).
The idea is a fully weighted hammer action keyboard with nothing else, such as the Arturia KeyLab 88 MkII, and add to that tiny LED lights above each key. And have a tablet computer which has a tutor, and it shows the notes but also a guitar hero like display of the coming notes, where the LED lights shine for where to press, and correction for timing and heaviness of press, etc.
A screen reader for linux. My aim is to carry around my Raspberry Pi 500 or some other mini keyboard with a tiny computer embedded in it and have it serve as a fully functioning computer.
My hope is to make it easier to use a computer blind than with my usual workflow with a monitor.
I am working on MediaReduce https://mediareduce.com/, AI-powered media editing studios for videos, images and documents.
It has gone through several iterations over the last year. It was initially focused on file compression & editing but I have added video & image enhancement, background removal, smart video trim, video subtitles generation, dubbing, watermark removal, cropping, resizing, etc.
I'm continuing to fine-tune the performance and while enhancing my UI skills to polish the studios. I built a desktop version but currently released it for Linux (it's in beta), I plan to hopefully make the desktop version free.
I'm currently working with a few clients and using their feedback as guidance. Let me know your feedback if you use it.
I'm working on a neighbourhood analysis app. It gives people looking for a new apartment or travelling to a new city all the information they need at a glance. I ingested a lot of public info into a database and combined it with routing services to provide a simplified analysis of any spot. This includes local infrastructure and amenities, quality of public transport access, distances to the city center or your workplace, demographics and more. One thing I wanted to make sure is to keep everything local, since those API calls can get very expensive very quickly. I am learning a ton here.
I'm currently close to the public release. After that, I want to learn some ML techniques to predict Pieter Levels' Hoodmaps classifications from my publically sourced data. It would be cool to have accurate automatic predictions of the places-to-be for every city.
I’m the technical co-founder of Visibil (https://visibil.ai), an LLMO and SEO automation platform. It’s unique in that (unlike similar solutions) it doesn’t have a brittle JS-based content “hijacker” (which normally pulls the content changes from the SaaS’ database and therefore stops if you stop paying), but rather it updates the user’s CMS.
I'm working on Hispi (https://www.hispi.app) which is an AI powered tool to help people design custom jewellery (starting with rings). We use some image models and some text models to build the ring, estimate materials etc and then work with real jewellers in London to actually make and ship them!
I wanted to learn a bit about backend development, so I've been building my own version of soundcloud with supabase. Main thing I've learnt so far, auth is flipping complicated. But it's been really fun! The audio compression is done clientside with ffmpeg and WASM, I'm pretty pleased with that approach. Everything is pretty busted atm, but I'm trying to get to a 'walking skeleton' then polish. I've been devlogging the process as I go for fun.
https://selectube.app/
Working on curated YouTube for kids. Trying to make a place where my kids can watch the good stuff without getting sucked into all the mindless junk.
Also it’s been a fun excuse to try out Cursor and other AI tools I don’t normally use in my day job.
I’m working on LearnMathsToday, a mobile app that helps students learn math in a fun and engaging way. It’s self-paced, with AI-generated questions that adapt to each student’s level. One unique feature is AI-powered marking, which gives instant feedback on written answers. I’ve also added gamification—points, levels, and a storyline—to keep students motivated. Right now, the app is based on the Singapore syllabus, since I’m based in Singapore.
Super simple, but an AI powered greenhouse. Arduino with a humidity, temp, soil moisture hat, logging in MySQL, semantic to layer with growing info, AI front end.
I'm currently developing a middleware that connects Nvidia PhysX to GameMaker. There's still a lot of work left but I have most features working in some capacity. Dynamic and static actors, primitive/convex/triangulated shapes, joints, character controllers, GPU accelerated PBD particles and deformables, etc.
GameMaker is primarily a 2D engine and offers limited options for 3D, but it is possible if you know how to use vertex buffers. I'll probably post it here once it's a little farther along, but I'm pretty proud of my progress so far. I'm hoping I can use it to support myself in some way, but there's a lot of anxiety in selling a niche project like this.
I am working on a next-gen software composition analysis tool that can identify malicious open source packages through code analysis. Adopts a policy as code (CEL) approach to build security guardrails against risky OSS components using opinionated policies.
Finally, I built a simple chat app as a web component with a Cloudflare durable object and have a few AI bots spamming the chat that may or may not ignore you: https://catskull.net/the-most-dangerous-app.html
While taking care of my newborn, I had a lot of time to think about what annoys me most about being a software engineer. For me that is interfacing with databases.
So, I embarked a couple of weeks ago on my journey to build a relational database, which checks the boxes for me personally and I hope that this will be useful for other developers as well.
Project priorities (very early stage):
- run code where the data is - inside of the database with user defined functions (most likely directly rust and wasm)
- frontend to directly query the database without the risk of injection attacks (no rest, graphql, orms, models and all the boilerplate in between)
- can be embedded into the application or runs as a standalone server - I hope this to be the killer feature to enable full integrations tests in milliseconds
- imperative query language, which puts the developer back in control. Instead of thinking in terms of relational algebra, its centered around the idea of transforming a dataframe
Or in other words, I want to enable single developers or small teams to move fast, by giving them an opensource embeddable relational firebase.
* I'm working on the Mnyify(https://mnyify.com), a AI expense tracker app.
* I would ship another Sass web application that will minimize the notification this year.
* I'm working on the CJK message display on the Meshtastic device, it's pretty much done, but still has a some refinement need to do.
Exploring n8n these days for automation/AI Agents. I am a software developer, but I enjoy this no-code/semi-code tool, already found a few use cases via Upwork and SEMRush that I am going to implement.
Besides, I have initiated two series on my blog: T4P and GenAI on my blog and writing about Algo trading and GenAI stuff(https://blog.adnansiddiqi.me/)
PS: If anyone has any interesting ideas, then do ping me
I was trying out an MCP tool and hit few issues, even though there is MCP inspector which sets up a webserver etc. I wanted much simpler tool I can use in SSH environment, so I built (with Claude Code) a terminal tool to proxy any stdio MCP server and then use the monitor TUI to see all the flow of calls between MCP client and server. Its been helpful to learn thing about MCP as you see the flow of calls happening and inspect them.
I am working on a babelfish ie speech-to-speech language translation for use during vacations namely Tokyo Disneyland where you can't ask the speaker to stop speaking. I am kind of surprised that it does not exist yet. I want it to be like this this video where the app/device talks in English in realtime over the Japanese speaker https://youtu.be/PfPC4KEdTDY?si=h4BfmkNvQnmOzvgC&t=62 however I found no iOS app that can do this yet, they all require the speaker to stop speaking before translating. I know Google translate can live speech-to-text but I'm wondering if I can achieve speech-to-speech with earbuds and a shotgun microphone so I don't have to look at my phone. and there's new iOS on-device models so I'm hoping I can get better offline accuracy
Just writing posts for my blog on personal experiences with startups https://developerwithacat.com . Am taking a break from any serious building, bit tired of failing. Using the blog as a form of self therapy.
For fun, I am building a little tool called 'domain-manager'. Basically just a binary that automates configuring a Linux host to run a bunch of WordPress/Laravel/PHP sites.
It creates all the necessary boilerplate to generate PHP Docker containers, creates all of the MySQL users, and sets up all of the directory structures to get a new website up and running. It even helps set up SFTP users and gets letsencrypt certificates set up with certbot.
It's still very early days, but I appreciate that what used to be a bunch of commands that I would run by hand and slightly change every few months is now pretty much just all self contained. Should mean the next migration to a different server is easier.
Created in frustration because I was too cheap to pay the $50/month for a cPanel license.
I built an internal monitoring tool that tracks new blockchain software releases and made it publicly available as a website. It's particularly useful for people who run and maintain blockchain nodes: http://chainrelease.info
I built a hardware server monitor with LED display based on the ESP8266. I needed 8 fewer things to think about in the morning. If you want, you can build one yourself, I released the hardware and firmware: https://github.com/seanboyce/servermon
Next up is a small lamp for migraines. I noticed that dim red light is much more tolerable to me than anything else. I mean obviously, darkness is ideal, but you need to do other stuff like eat and drink eventually if it's a persistent one.
So I designed a quick circuit to use fast PWM (few Mhz, so no flicker) to control a big red LED. I'd like it to be sturdy and still functional in 50-100 years, so made some design choices for long-term durability. No capacitors, replaceable LED and so on.
A simple project, but it's a busy month and I need something easy this time.
Hey guys, I can't stop thinking about this idea. So I have 6 years of exp as cloud and devops engineer which means I have spent a lot of time doing ci/cd and stuff. And ci/cd usually runs on cloud which has a cost associated with it. Now i was thinking what if company can utilize the compute of the machines they give to employees to carry out such tasks like ci/cd. Simply put, companies should be able to run ci/cd on employees machines and reduce their spendings. WDYT? if anyone interested we can work on it together.
Don't want to discourage you. I've these questions:
1. Are you targeting startups or enterprises?
2. Do you foresee savings in the range of millions with this approach?
3. What if the ci/cd pipeline takes > x mins? should the laptop be turned on stayed connected to network during this time?
4. In an enterprise, a typical ci/cd pipeline get connected to other dependent services - eg. security pipeline (even 3P) etc. Now, every developer needs to onboard to those services?
1.) Well, both startups and enterprises. both can benefit from reduced costs.
2.) Haven't worked out any figure yet.
3.) I was thinking an agent could run on the laptop/machine exposing compute and making sure it doesn't sleep, also report availability i.e if it can schedule a job or not.
4.) Correct, it should be a drop-in replacement type of thing, where for instance only changing the runs-on bit in github actions should suffice. Machines could became part of a node-pool via vpn? and jobs could be scheduled on the ones that are available.
Since I posted about https://github.com/theopfr/somo on HN it got a lot of attention and many new contributors! I'm working through lots of PRs and hoping to release a new version soon with all the new features :)
I've been working on https://stacks.camera - it's an idea about overlaying the previous picture when you're taking a photo so you can create a timelapse or animation.
Most of the challenges are around handling images & rendering, but I've also been playing with Passkey-only authentication which I'm finding really interesting.
I've been building an interactive nuclear reactor scoping tool to help people build intuition about how different types of nuclear reactors work and cost at different sizes. I ran a bunch of simple reactor simulations and this basically interpolates between them. https://whatisnuclear.com/neutronics-scoping-tool.html
I just finished playing with my Shimano Di2 groupset and the e-tube app. Last year researchers revealed that a simple replay attack was possible to shift someone elses bicycle. My bike was delivered with updated firmware that is no longer vulnerable so I had to find a way to downgrade the bike. The e-Tube app only allows updating the bike, but it detects root, emulators, frida-server or changing the APK and then crashes. I had to find a way to circumvent that and use an SDR to do the actual attack
I'm building a PyQt6 desktop app to create XML sitemaps for website maintainers such as myself. I got annoyed with the free online tools that are available, and also want to play with building desktop apps with Qt, and improve my Python programming skills. This seemed like a fun hobby project that has some value for me at work too, so I am not just building it to forget about it later.
I'm working on a system to help people write their Family History.
You upload interviews with family members (text, audio or video all work) and the system automatically transcribes the text, finds key people or events, and puts it together with other information you may have gathered about those events or people before. Like building a genealogical tree but with the actual details about people's lives.
In the works to also attach pictures of said people and events to give it some life.
I've been hacking on an Icecast-compatible server with Erlang. You can feed it an FFmpeg icecast feed into the server, and listen to it with any Icecast-compatible player. I think it's kind of neat; I do some extra things that the official Icecast server doesn't give you.
I store the chunks in a custom-built database (on top of riak_core and Bitcask), and I have it automatically also make an HLS stream as well. This involved remuxing the AAC chunks into MPEG-TS and dynamically create the playlist.
It's also horizontally scalable, almost completely linearly. Everything is done with Erlang's internal messaging and riak_core, and I've done a few (I think) clever things to make sure everything stays fast no matter how many nodes you have and no matter how many concurrent streams are running.
I am working on the world's first end-to-end Database Migration tool, supporting Oracle to PostgreSQL and MSSQL to PostgreSQL database migrations with AI for Schema Migrations.
Until now, people used different tools for Schema Migration and Data Migration/Replication.
During this process, we ended up building a data migration and replication tool supporting any databases between Oracle, SQL Server (MSSQL) and PostgreSQL databases.
I'm writing tests, fixing bugs, and adding features to improve the quality of a piece of financial software that transfers certain financial data on a special private network. It's way less fancy than it sounds, but I'm enjoying improving the tests and adding important security and legal compliance features. Knowing that others will depend on my hard work to keep their business financial records straight is a great reward, and I am taking my responsibility seriously.
I'm also working on learning about building software with LLMs, specifically I am building a small personal project that will allow me to experiment with them using measurable hypotheses and theories, rather than just tweaking a prompt a bunch and guessing when it is working the best. I know others have done this, but I am building it from the ground up because I'm using it as a learning experience.
I plan to take my experimentation platform and build a small "personal agent" software package to run on my own computer, again building from scratch for my own learning process, that will do small things for me like researching something and writing a report. I don't expect anything too useful to come out of it, since I am using 1.7B/4B models on a MacBook Air M2 (later I might use my 3080 but that won't be much improvement), but it will be interesting to build the architectural stuff even if the agents are effectively just useless cycle-wasters.
Each day, I create a new 30-second episode based on the plot direction voted on by the audience the day before.
I'm trying to see how far the latest Video GenAI can go with narrative content, especially episodics. I'm also curious what community-driven narratives look like!
For the past week, I've been tinkering mostly with Runway, Midjourney, and Suno for the video content. My co-creator vibe coded the platform on Lovable.
Building tools to improve the developer experience especially in regarding to Git and CI/CD. Currently, working on an improved CodeOwners for GitHub. CLI is already completed and open source: https://github.com/CodeInputCorp/cli
It’s not something technically inclined or interesting. I used to host a Flash Game, some sort of, Bubble Wrap Bubble Popper. Unfortunately, it went away along with Flash. My site complains of the usual 404 on that page. Early this month, on one fateful evening before I retired for the day, I decided to work alongside an AI Coding assistant and completed it. Since then, if not others, my daughter has popped a lot and lots of bubbles.
I'm writing a series of tutorials on solving algorithmic leetcode-like problems in a modern, scalable way. I use JAX library for python, so the solutions work on cpus, gpus and tpus.
Everything must be vectorized, parallel, just-in-time compiled and differentiable !
I’m building a browser-based static site generator and CMS.
I love SSGs as they’re simple and fast and the sites they make can be hosted anywhere with little maintenance. But, after helping a non-technical friend get up and running with one, the UX is rubbish.
So I’m building a combined CMS and SSG called Sparktype, designed for writing and publishing. Users can create pages or collections, write and export the generated site. At the moment it exports to zip, but I’m working on connecting to Netlify or GitHub for automatic deployment.
My goal is to build something that allows people to create a publication with the ease and polish of say, Medium or Substack, but which is completely portable and will work on almost any hosting.
It’s very early MVP - the editor works, but the default site theme is rough around the edges and there are a bunch of bugs. I’m currently working on getting it good enough so that I can create its own marketing and documentation site with it.
I didnt realize how much overhead an sfml window draw call has, granted I have yet to target optimizing that yet.
Seems like my first candidate for multithreading; also I think the scheme I implemented for how to manage texture/sprite switching is advised against and may need to slightly refactor how I store and swap based on object state.
It's kind of boring but I'm learning k8s and argo-cd to figure out if I can do feature-branch deployment to a cluster.
like, it would be very cool to do something like have your feature branch be deployed to a separate pod in dev cluster, and have an ingress rule set up so that it points to that pod only.
So if your dev environment usually points to <some-app>.dev.example.com,
Deploy your feature branch to a dev cluster, but on a different pod. Then have it reachable to <some-app>.feature-branch-1.dev.example.com without touching main.
I think it's a neat idea and I'm sure it should be possible if I configure some istio settings.
It's all new thing and it's fun to have a direction towards learning
Working on tail calls for TXR Lisp. Current release provides self tail calls only; and certain cases don't work, like applying in tail position. Plus there is a shadowing bug. These issues are addressed already.
Tail calls between different VM functions are the next challenge. I'm going to somehow have it allocate the VM instance in the same space (if the frame size of the target is larger than the source, "alloca" the difference). The arguments have to be smuggled somehow while we are reinitializing the frame in-place.
I might have a prefix instruction called tail which immediately precedes a call, apply, gcall or gapply. The vm dispatch loop will terminate when it encounters tail similarly to the end instructions. The caller will notice that a tail instruction had been executed, and then precipitate into the tail call logic which will interpret the prefixed instruction in a special way. The calling instruction has to pull out the argument values from whatever registers it refers to. They have to survive the in-place execution somehow.
I am working on a tool that lets you create data visualizations with prompts.
When I was in college I really hated searching through all the excel and google docs menus to add trendline, change colors, gridlines, etc (and sadly I didn't have the agency to learn matplotlib or seaborn). I figure others might hate this too, and it would be so cool to have csv + prompt -> exportable svg chart
This is interesting I thought ChatGPT had a data analysis tool that did this natively in the app. Is there something to distinguish it? Full disclosure haven’t used that feature to much, but saw some demo
This is interesting I thought ChatGPT had a data analysis tool that did this natively in the app. Is there something to distinguish it? Full disclosure haven’t used that feature to much, but saw some demos
Thinking about giving up on my speech accessibility project (https://BeUnderstoodApp.com) because once again I built the MVP but gaining customers is so draining and difficult for me that I consider moving away and focus on contributing to some major open source project instead
This is the best thing I discovered in this thread! Please do not give up on this. The idea closely reminded me of Ello (https://www.ycombinator.com/companies/ello), which was started with custom speech-to-text models trained to understand kids. You're doing a similar thing but for an even more underserved niche. This thing could be life-changing if you manage to navigate marketing in the niche.
Research grade orbit calculations for asteroids and comets (rust/python).
I began working on this when I worked at caltech on the Near Earth Object Surveyor telescope project. It was originally designed to predict the location of asteroids in images. I have moved to germany for a PhD. I am actively extending this code for my phd research (comet dust dynamics).
Its made to compute the entire asteroid catalog at once on a laptop. There is always a tradeoff between accuracy and speed, this is tuned to be <10km over a decade for basically the entire catalog, but giving up that small amount of accuracy gained a lot of speed.
Example, here is the close approach of Apophis in 2029:
Wut.Dev (https://wut.dev) - a fast, client-side, privacy-focused, alternative to the AWS console.
I got tired of using the AWS console for simple tasks, like looking up resource details, so I built a fast, privacy-focused, no-signup-required, read-only, multi-region, auto-paginating alternative using the client-side AWS JavaScript SDKs where every page has a consistent UI/UX and resources are displayed as a searchable, filterable table with one-click CSV exports. You can try a demo here[1]
Unsolicited feedback (and take with grain salt since I’m probably not your target buyer)
- the subheading is describing the “how” not the “what”. Meaning, what would you use this product for?
- in general, all the headlines could be preposition from the “what” a user would do scenario. Eg instead of saying “Resource Relationship Diagrams” … say “See Resource Relationship with Ease”
- if I’m understanding the tool correctly, this seems like a “lookup” tool. In which case lookup.dev is for sale … just fyi.
I _was_ working on an open-source, self-hostable app for sending out newsletter to your friends and families. I made a MVP but then I scrapped it after realising how cumbersome it is to manage email related functionalities. Since its strictly for connecting with your friends and family, I figured, why not let users use their own email to send out the updates.
So I made a proof of concept app on iOS that uses gmail API to send out newsletter emails. I wish I could just send prepopulated emails (with inline attachments and recipients) to iOS mail client instead of asking for gmail OAuth permissions, but it doesn't look possible.
Now I'm trying to create a polished app for alpha testing. Been exploring data persistence (Swift Data, Core Data, rxdb etc) and settled on Core Data. Architecture wise, I've settled on MVVM + Swift UI. At the moment I'm trying to figure out how to make mocks and XCode preview data geneeration ergonomic.
So far, I am pleasantly surprised at Swift and iOS development, but I still hate XCode.
I've been slowly building a website full of daily puzzle games (https://regularly.co/). I built the first game for my wife (https://regularly.co/countable) which she plays every day. Floored is my personal favourite, I find it deceptively challenging
These are fun. I think Kingly would be better if solutions were unique. I was confused at first when I ended up in a situation with ambiguity and realized the puzzle just had multiple solutions (Sunday, June 29)
> I was confused at first when I ended up in a situation with ambiguity and realized the puzzle just had multiple solutions
You're right, Kingly is the newest out of the bunch and the least satisfying to solve because of that. It's getting a big rewrite under the hood this week, so should be much more fun to play to make it more deducable and less random
I'm working on EyesOff[1] - v2.0.0 should be out soon.
It's a simple (currently macOS) application which aims to target shoulder surfing by using a locally running neural network to detect those looking at your screen.
A Parquet file compactor. I have a client whose data lakes are partitioned by date, and obviously they end up with thousands of files all containing single/dozens/thousands of rows.
I’d estimate 30-40% of their S3 bill could be eliminated just by properly compacting and sorting the data. I took it as an opportunity to learn DuckDB, and decided to build a tool that does this. I’ll release it tomorrow or Tuesday as FOSS.
In Fostrom, devices connect via our SDKs or standard protocols such as MQTT and HTTP, and send and receive structured, typed data, through pre-defined Packet Schemas. Each device gets its own sequential mailbox for messages. You can trigger webhooks or broadcast messages to other devices based on incoming data, powered by programmable actions (written in JS).
We entered Technical Preview recently. Since then, we've been working on:
- Major upgrades to Actions: making it easier to write action code, along with testing before deploying, and more docs on how to write good actions. Coming this week.
- We're in the process of releasing Device SDKs in multiple languages, including JS, Python, and Elixir soon. The SDKs are powered by an underlying lightweight Device Agent written in Rust.
- A new data explorer to view and analyze your fleet's datapoints, which will be available in a few weeks.
Happy to answer questions and appreciate any feedback.
A simple “ChatGPT for email.” I just want to be able to ask things like “What time is my flight next week” or “Can you pull up the email where I sent John the final documentation for the api?”
I don’t want to auto compose messages or anything. I just want the computer to filter out things I don’t care about and tell me the answer to things without hunting around my inbox.
At work, I often need to submit PDF documents, but the photos I take on my iPhone are in HEIC format. To make it easier to convert HEIC to PDF, I developed a website: https://heictopdf.run/. It allows you to batch convert HEIC files to PDF online, with all processing done in the browser—no data is stored on the server.
I'm working on a fully static-link as first class, fully correct `pkg-config` information, fully re-`ar`'d (e.g. `-labsl`, `-lboost`, many other difficult deps work already) set of libraries that default in `libressl`, `musl`, and other pro-user / anti-telemetry choices expressed as overlays on `nixpkgs` that build .deb files (among other things) to leverage the enormous package set to get a complete system with an effort realistic for an individual to bootstrap to the "interesting" phase.
This uses bad things (cmake-only, Debian policy agenda) things that work against their creators: cmake outputs enough information to create correct `pkg-config` for example.
This would make it realistic to zero-backdoor an Ubuntu-style system.
For 30 years Linus has been holding the line on a stable kernel ABI and only FAANGs and HFT shops have reaped the full benefits.
Here's the summary:
- read all your sources
- public websites, docs, video
- answer questions with confidence score and no hallucinations with citations
- cut support time and even integrates directly into your customer facing chatbots like Intercom.
Still deliberating on the business model. If anyone would be interested in taking a look, I would love to show you.
I am interested to take a look but some answers before it might be great?
One of the issue we are facing is the upto date documentation. Like you have document A with information on Doc A, but now there is a document A.1 is written which has the updated information on Doc A.
Yes we have thought about that and we have multiple solutions to that.
- webbhook triggered - when a document is updated some CMS/tool provide webhooks triggering capability, which you can use to reindex that page
- time based triggers - you can set a time like a cron and the document will be scanned in that time and checked if something has changed it will be reindexed
I'm working on Tennis Scorigami - a data viz and tennis centric project somewhat similar to NFL's scorigami, but with a little bit more (if i do say so) interesting visualizations / new ways to look at the data.
From a technical side, I've processed around 325k+ matches. Right now, only main ATP / WTA matches (no challengers, no doubles, no mixed) sadly. I'm working on expanding that, improving our infra layout, exposing a public facing API, collecting the data on my own, and most importantly live score ingestion (especially given the fact that Wimbledon is starting tomorrow).
Feedback on the app through Canny / joining the Discord / following the Twitter / or any and all of the above would be much appreciated.
Trying _not_ to create another subscriptions for your browser extension platform, but I want to solve the problems with the storage.sync API (limited support, limited data, not cross browser/cross device) for my own extensions, so I'm effectively dogfooding one.
I've added a few exclusive features to one of my extensions for subscribers in addition to settings syncing, and have auth and Stripe redirects and webhooks working, so now at the stage of working out the best heuristics to use for when to sync and connecting the extension to the settings API.
After spending many years on the VC/startup track I found myself being pulled towards doing something more inline with my faith. As an engineer I felt like this is the best way I could contribute my skills.
I've been working on AltStack.jp [1], a curated directory of Japanese digital services (think cloud hosting, registrars, email providers, etc.), all made and operated in Japan. It’s for anyone in Japan looking to reduce reliance on foreign (especially US-based) platforms, inspired by projects like European-Alternatives.eu.
The site itself is built with Astro, content is written in Markdown. It's still very much a work in progress: the design’s evolving, search isn’t done yet, and I’ve only scratched the surface with a handful of categories out of the dozens I have planned.
My most recent release includes signed .dmg installer on top of brew, and a local build option.
Although it should compile to any platform, I want to take advantage of the new Foundation Model sdk Apple announced at WWDC.
I also recently released something called slackprep, a CLI tool and Python library that wraps slackdump, converting Slack export data into LLM-groomed Markdown transcripts.
That includes labeling inline images organizing them for upload as LLM context.
Writing a go binary to act as a wrapper around ripgrep and fzf. Can be done in many ways but I wanted a simple binary that I can invoke from lf or the command line to search, so that I'm using the same keystrokes to search, inside or outside of editor.
I'm working on TokenDagger [0] a high performance implementation of OpenAI's Tiktoken. My benchmarks are showing 2-3x higher throughput, as well as ~4x faster tokenization for code samples on a single thread.
I have been working on https://gametreecalculator.com, which is a canvas on which you can draw a decision tree. Assuming the payoffs you define are zero sum, you can calculate the optimal solution (nash equilibrium) by clicking a button. The code for the "calculator" was pulled from https://actionflop.com, where it's used for GTO poker bots you can play heads up no limit holdem against.
A tool to map warm intro paths to people in your extended network (ie 2nd degree). For finding paths to VCs, sales prospects, candidates, etc. Would love any feedback! www.draftboard.com
Working on https://ireact.to/, basically a centralized link in bio to collect feedback, questions, urls, ideas from your community.
Saturated market riddled with alternatives, but I wasn't really able to find low friction way to collect these things that met all my needs. Most of this stuff gets lost in DMs or comment sections, which just wasnt working for me.
Also figured it would be a neat way to re-think paying for a creators attention. IE, giving the option to tip (and soon subscribe to a VIP inbox of sorts).
I'm working on rewriting OSINTBuddy in Rust with Apache Age and Vite+preact ( http://209.46.122.104/docs/overview - sign in/create account will not work yet). You can think of OSINTBuddy as node graphs, OSINT data mining, and plugins, or as an alternative to Maltego. The project was previously written in Python using JanusGraph and the frontend using create-react-app. I still have to wire up all the frontend endpoints and write out a Rust websocket but once that's done I'll more or less be at feature parity with the old Python edition.
TestingBee is a way for startups to get part-time QA for their product's critical flows.
I've been working at startups for the last four years and I've consistently been on teams struggling to balance launching quickly versus keeping our product working. We've never had success creating a substantial test suite because our product is changing too fast and engineers are too overloaded.
I built testingbee as the solution. It lets you write your app's flows in plain english and the bot I created will execute those flows in your app as a user would. This triggers on every push to make sure every release keeps your product working :)
- is simple to play. (just log in and check-in with your geolocation. Optionally add a short message)
- helps people stay connected. (You can view friends/family on the globe with some mild competition/cooperation)
- Right now, I'm trying to figure out something compelling to "collect." Cities/states, weather conditions, letters, numbers, words, etc... I think it should be tangible.
I have been managing Claude to work on a rational math library in JavaScript: https://calc.ratmath.com
I am particularly enjoying the Stern-Brocot tree exploration: https://calc.ratmath.com/stern-brocot.html#0_1 I hope people will find it to be a nice way of understanding good rational approximations and how they tie into continued fractions and mediants. A nice exercise is to type x^2 in the expression box and go down the path to always advance towards x^2 being 2. This gives the continued fraction representation of the square root of 2.
Working on a POS for my wife's stationary and office supply store in mexico. Hosted on my on premise hardware raspberry pi. I will upgrade from containers to kubernetes soon. xplaya.com && papeleria.xplaya.com
I'm a solo founder, and this month, I just got into Cursor vide coding development (from Emacs). Still working and getting accustomed to this new vibe coding as it's easy to mess everything up.
Been developing this AI agent framework for 1 year now. It's very similar to n8n, but exclusively for open-source LLMs. It also just recently got MCP support.
I'm building my personal finance App Percento for iOS. More than 10 years after I switched my career from accountant to Dev, and it has been more than 5 years that I worked on this project, how time flies.
An iOS app that lets you change the paint color of your rooms and try out new interior design styles (ex: Rustic, Coastal, etc).
I built it because I was blown away with what the latest image generation models can do and found that interior design is one area where it could already provide significant value for people. I’ve already used it in just about every room in my house to help me decide on:
- which paint color I should use
- how I should arrange my furniture
- what color theme I should be using to match the design I’ve gone with
- general inspiration on decor
It’s free to download to try with sample imagery. Unfortunately due to the cost of image generation, you won't be able to upload your own photos in the free version (yet). But I’m constantly improving the app and would really love some feedback.
It's built to be plug-and-play with a few different image generation models. gpt-image-1 (OpenAI's API-only image gen model) performs extremely well for certain tasks, but it's not perfect.
i am trying to learn a little zig programming and i've been doing it by making a simple database. my next project was going to be text editor. i'm gonna take some inspirations from your project.
Node based visual editor for 2D LED patterns over BLE. Web/iOS/Android app to ESP32, works with most addressable LEDs. It’s like TouchDesigner x WLED x PixelBlaze, but Bluetooth so you don’t need annoying wifi setup. And hopefully you can make much more interesting patterns without touching any code.
Eventually the ESP32 devices will save all the patterns they’ve seen and share them with apps that connect to them. So there’s a pattern ecosystem, like Electric Sheep.
Still rough and in progress (and constantly deploying so it may break for you )
The ADHD-friendly AI personal assistant for notes, email, and calendar.
Where you can just chat to search notes, manage emails, and schedule tasks. It proactively plans your day every moring and checks in to help you stay on top of everything.
Building an AS/RS for trading cards. I did my POC smaller scale hacked together and now I'm building v1 (which I'm having to fight second system syndrome pretty hard on.) After getting very refactoring reluctant with untyped python, I'm making the transition to Rust and enjoying it quite a bit.
Fiddling with a custom cloud backup solution to complement local backups instead of just using some service like I probably should. But I'm enjoying the process.
I'm building an alternative to Lulu. Native macOS app, strictly follows Apple Human Interface Guidelines, powered by Network Extension for better performance. I also try to convert IPs to domains (LuLu only shows the IPs) from DNS or get the SNI on the wire. It allows you to monitor all traffic from your Mac and block it if needed.
Simple license, no subscription, perpetual license with 2 years of updates.
Ephemeral, client-side encrypted sharing of files, text, html, and forms.
Just prototyping at the moment, but the goal is to allow users to not only share files (even big ones) but also forms, like Google forms, but encrypted and one time only (read once).
The use case I have in mind is allowing businesses to create GDPR forms (with private info, consent, etc), share unique urls with specific customers, and once the data is received by the business delete it from the server.
This could be useful to businesses that don't have a customer-facing portal, but have to deal with PII and the customer needs to consent and verify the data and what it's used for.
The data is encrypted client side (web crypto) and the password either shared in the url (in the hash fragment, also encrypted by a key stored on the server) or by other means (eg. could be the recipient's dob or id number or some other previously shared or known value).
Still trying to figure out the details, use cases, business value but the core backend is done so is the client-side crypto stuff. I managed to get chunked AES-GCM working so that it doesn't load the whole file in memory in order to encrypt it, it does that in chunks of let's say 2MB. Chrome also has chunked requests (in addition to responses) for sending the file to the server, but would probably need to come up with some other mechanism to get that working on other browsers (like send the chunks in multiple requests and append to a single file on the server, but that adds more complexity so I'm still working it out).
It never is “one time”, amount of ways people mess up is huge. Even just when you make submit and 5x confirmation there will be once a week a new user that happens to acknowledge 5x they filled in all they needed and know it will not be possible to fill in again but… they really need to fix that one thing they messed up when filling in.
absolutely. even when everything goes smoothly, if you send me a one-time thing, i don't know if i am in the right situation to be able to handle this now. i need to be able to take a look and then decide if i want to deal with this now or later. having to make this decision without looking at it first would raise my anxiety level quite a lot, depending on who this is from.
Started on a dependency-free (including manual object file creation, excluding manual linker) single-pass C compiler with a goal of it being self-hosting. Spawned after my previous project (single-pass Wasm JIT) started to plateau a bit and wanted to start something more "full-stack compiler"-y.
Currently finishing up a re-write which changes from using union commands (which resulted in an ever more deeply nested CSG tree) to collecting everything in a pair of lists using append/extend and then applying one each union operation, resulting a flatter structure.
Once all that is done I'm hoping to add support for METAFONT/POST curves....
Still working on dédédé [1] - it's a simple web-based platform to share the "good, bad, and why"s of urban spaces. We're slowly adding functionalities and crushing bugs, an iOS app is in the pipeline too!
I'm working on https://fractalchat.ai
It's an LLM chat interface but instead of single linear thread, in each message you can create anchors that branch off into subthreads. Useful for for digging into related subtopics/tangents without losing the parent thread's context.
We host a static site service where users can manage their sites via ssh (https://pgs.sh). Previously we used minio for object storage but have become frustrated by its perf issues on smaller VMs, don't need the distributed features, and wanted something a little lighter weight. We initially thought Garage could check most of our boxes but very quickly discovered perf issues there as well.
So we decided to build out our own filesystem adapter and recently deployed it. It's pretty exciting to have our own solution that does exactly what we need and appears significantly faster.
It makes us want to open source pgs.sh because it has fewer dependencies in order to deploy.
Happy pico.sh user here! So simple to setup and use. I would really love to see this go open source (for whatever reason I thought it was already open source...). In any case, keep up the good work!
I’m currently working on a sequencer DAW plug-in (MIDI, audio) with multiple voices & precise timing/articulation controls, including a templating system & transformations to apply these changes to several steps/voices at the same time. Will also support importing/exporting tempo maps.
Can be used for everything from slightly skewed beat-making to generating undulating waves of sound!
Haven't released properly yet - not sure if it's stable but oh well.
I don't like using my personal email to sign up for things. But there are definitely things that I do want to sign up for - newsletters, try out some services.
I know there are temporary email services, but I actually want to use these services. Of course there is Apple email that forwards to your real email.
But, I also don't want to flood my inbox.
Anyway, I wanted to receive these transactional emails in my personal Slack.
I'm building a catalog for health care price transparency data that aggregates the rates published by all insurers, to put everything in one place and make it easier for developers / researchers to access this data. https://www.accessmrf.com/
I am mostly continuing to work on Super ZZ Zero, which is a game engine, like ZZT and MegaZeux in many ways. The program is FOSS and is written in C.
I also have some ideas of a programming language designed mainly to process files in DER format (as well as data from stdin and to stdout), but have not actually implemented anything so far.
I also have ideas about an operating system design and computer design, and should have help to write the specification properly, and then it can be implemented afterward.
I built a tool that surfaces engineering issues for my VIP customers at https://customercanary.com/. It's a layer that sits on top of our existing error tracker.
It's something I've needed for a while working in engineering teams in B2B SaaS. Currently technical co-founder of AdQuick.com, an outdoor advertising marketplace backed by Initialized.
I've been more actively developing PAPER, and expect to push to GitHub and publish wheels on PyPI tomorrow although it's really still not ready for a Show HN. My work there has also led me to developing some side utilities:
* a library for filesystem tree operations (and other trees, if you're clever enough swapping in components)
* a utility to identify and extract wheels from pip's cache (so that they can be dumped into other installers' caches, for example)
I also hope to return to bbbb soon, if only to make sure that it can build PAPER's wheels smoothly (and with a few other basic conveniences implemented).
Oh, and I wrote an article for LWN recently and have plans for a few more....
I'm working on inq - a real ink pen that writes on real paper while simultaneously digitizing everything you write. Specifically working on the software for our mobile and web apps.
Among other things, my team has implemented access-based sharing using web links, like Google Docs for real paper handwriting. And we've just launched Quin, our AI assistant for real paper handwriting. Super useful for getting help with math, language learning, looking up relevant facts, generating ideas, etc.
I submitted my travel planning web application [1] few weeks ago as Show HN [2] and it received tons of feedback and ideas that resonates with me. So I'm still working on it :)
My most recent release is a camera app dedicated to RAW photography, which focuses on being fast & lightweight & technically precise - I wrote the website to be both a user’s manual and a crash course in photography concepts: https://bayercam.app
I’m working on my next app release, which I’m pretty excited about!
jq Jake: An interactive challenge based approach to learning jq for JSON processing. https://jqjake.com
jq is an incredibly powerful tool, but it's not always the easiest tool to use. LLM's are remarkably good at constructing filters for most uses cases, but for people that work with JSON a lot, learning jq can be real benefit.
Finally learning TLA+ by plugging a very simplified multithreaded Java simulation of an old project's distributed, (hopefully) eventually-consistent algorithm into LLMs and asking for translations.
I'd previously tried to learn TLA+ a few times but always eventually lost interest and gave up. This approach was quick and easy. Disappointed that TLC can't really exhaustively check more than 8 steps; being O(n!), 9 steps would take months, even after all the symmetry optimizations. Maybe will look at TLAPS next.
I'm preparing to re-enter the tech job market and have been building a Chrome extension for tracking Catan resources during games on colonist.io. It's been a fun side project (my first time developing a browser extension) and it's involved some interesting probabilistic logic to estimate players' hands after unknown card steals.
ok, I'm making an in-app bingo type game for picking the dog of the week for a doggy daycare chain. It uses pixijs and hand crafted animations and particle effects, drawing on a database of a couple hundred thousand dog photos per month. Ridiculous? Yes. Fun, definitely. I pitched the idea, they liked it, and I basically got carte blanche to create a fun customer experience.
I am working on https://vimgolf.ai , a site where users play vim golf with each other and try to beat a bot powered by O3.
I've been meaning to wrap the project up for a while. Went down a rabbit hole trying to make the vim containers fault tolerant and scalable using kubernetes. But, after a friend told me I could do everything using cloudflare containers, I've been changing my backend to use that instead.
Low friction Markdown based voice journaling. Locally transcribed voice memos with whisper and write as markdown files (to any folder or obsidian vault).
I recently got a pen plotter. I've been working on making my own implementations of algorithms to convert images to vector graphics for plotting. Things like cross-hatching to fill in dark areas, or spirals or flow fields, etc. I also found out about vpype[1] recently which does some cool things in this area.
I am building an enterprise software marketplace (backed by Microsoft). Interested devs can register here: https://www.kylantis.com/early-bird-developer to get notified when we launch.
ps: we are focused on only java developers for the initial roll-out, thanks.
Working on a programming language:
https://antilisp.com, a Lisp used for code generation in other languages.
The language is heavily inspired by Python for the dev UX, and the interpreter is written in RPython (what Pypy uses).
Rewriting to RPython was tedious, but the 80x speedup was worth it.
been working on a side project for a few months that has me excited to keep iterating on it the more i do it. long story short it's an adaptive learning app for autodidacts. creates a json object which is the foundation of features i build on top of it to help people learn with an end-goal in mind, using peer reviewed behavioral psyc research + AI. You learn whatever you want but it learns you too to help you learn better. not good enough to apply to YC yet but...hopefully soon.
I’m building an open-source project (with a hosted option) that lets web and mobile devs add LLM-powered features with zero backend code. Current platforms like Vercel still require at least a backend serverless function even for basic LLM integrations. This handles key management, access control, usage tracking, rate limiting, message conversation state, etc so devs can focus on frontend.
Where does stuff like the prompts go? If you put them in the frontend then you have a bit of a security, monitoring/etc concern. If you don't put them in the frontend... then you have a backend. (But maybe a simpler backend for devs to work with.)
The goal is to make a Minecraft server that constantly updates itself, giving you "unlimited content", while still retaining any progress you've made so far.
Still figuring out how to pitch it, but so far it's 'Duolingo for relationship issues'
We launched this month and are growing fast which is exciting. I'm mostly impressed by how easy React Native has gotten, as a long-time native Apple Platforms dev, given all the training LLMs have on React.
An app to train optimism. Daily questions help you think more positively, all answers saved locally in your device. It’s called Daily Optimist. Feedback appreciated!
I'm still working on a German health insurance calculator. It evolved into a very elaborate recommendation tool.
Health insurance is one of the earliest, most important decisions immigrants make, and they often choose wrong. It can delay visa applications, cause coverage issues, or create expensive problems down the road.
Now they click a few buttons and get very specific recommendations explained in plain English. If they're confused, they can involve an independent insurance expert for free. The guy replies within an hour or two, and is cool with Whatsapp. The way I gather feedback from users, he's strongly incentivised to stay honest.
There is no AI involved, just good old-fashioned business logic. It means that the advice is sound, well-tested and verified by multiple competing experts.
It's such a far cry from either trusting whatever reddit or your employer tells you, or the slow back and forth of getting a quote from a (possibly dishonest) broker.
The second version[0] has been live for about a month, and the results are phenomenal. This third version vastly improves the quality of the advice, adding information about gap insurance for visa applicants, and making actual recommendations instead of listing all options.
It's a really fun project, even if the topic is boring. It's a great research, UX, copywriting, coding and business project. It's the product of a few months of hard work, and so far it seems to pay for itself.
Working on Lunova — a QuickBooks Online app that you can create custom alerts via SMS/email such as when big deposits land, invoices go overdue, or vendor prices spike. Just cleared Intuit’s tech/security + marketing review (Took over 3 months... after building the MVP) and we’re now live on the QBO App Store. Feedback and feature requests welcome: https://uselunova.com
Pretty smooth once you respect the limits: 500 calls/min + 10 concurrent per realm. We run a per-realm token bucket and queue work; If you throttle and batch, you won’t hit 429s, but I talked to a few QB app owners and bigger apps tend to find it restrictive.
I’m working on Reflect [0], it’s a private self discovery and self experimentation app. You can track metrics, set goals, get alerted to anomalies, view correlations, visualize your data, etc.
Very cool app. Is there a way to periodically import from a Google Sheets spreadsheet? I track a bunch of things there on a daily basis and would love to have those pulled into this application.
Two things: https://urbanismnow.com a weekly newsletter that pulls together (mostly) positive news from around the world to inspire local change.
The other more recent is a web based CalDAV client for Todo items. I love the tasks.org mobile app and can't stand the Nextcloud Tasks UI so I'm making an alternative that'll be local first and simple but fast.
https://finbug.xyz/, free software tools for Finnish language learners continues to be my primary project, in between long bouts of Anki cards. I recently revamped and standardized the CSS a little among the various online tools, and I quite like how they look now.
Idea is to be the uptime monitoring + status page solution software teams choose. Next big project I'm looking at is making a terraform provider for uptime checks, so setting up alerts for your new microservice becomes seamless.
Still years away from employing me full time, but we're getting there.
been working on a side project for a few months that has me excited to keep iterating on it the more i do it. long story short it's an adaptive learning app for autodidacts. creates a json object which is the foundation of features i build on top of it to help people learn with an end-goal in mind, using peer reviewed behavioral psyc research + AI. You learn whatever you want but it learns you too to help you learn better.
Integrating my time series database (https://github.com/dicroce/nanots) as the underlying storage engine in my video surveillance system, and the performance is glorious. Next up I'm trying to decide between a mobile app or AI... and if AI local or in the cloud?
I’m working on a service that sends weather alerts via sms. Sign up takes 3 taps from a. SMS enabled device. It’s some what useful, but I still have lots to do. Around 27 users so far.
We're off and running, making the world's best configurators for complex products. Our first clients love us. Our configurators implement some very personal ideas about front-end state management, and it's really a thrill to see it all working with real products, 3d rendering and zero latency.
If anyone's tempted to visit, the home page is in French. Click on "Chiffrer un produit" and you're into the configurator which has English translation (top right). All the magic is on the third screen, after selecting a category and a product. The disposition of options and choices, plus prices for all choices, plus the 3d rendering, plus all the totals, all recalculate in the browser with zero latency, based on previous choices.
Built a privacy focused Kanban board app called Brisqi - https://brisqi.com
It's offline-first, has one-time payment plans and has a clean, simple design.
Check it out!
I'm thinking of a news RSS feed/newsletter filled with GRE-level vocabs. The idea is to encounter to GRE vocabs more frequently, hence memorize the vocabs faster.
I am working on automatically detecting fraudulent (D.P.R.K) candidates resume.
Recently many companies have fallen victims to hiring NK workers and losing millions of dollars. There are few red flags to identity these candidates and avoid becoming a victim.
It synthesizes unusual market activity, insider moves, options flow, sentiment, technical and news analysis to deliver specific, actionable trade setups.
This is only good for paper trading, as most of the setups are very counterintuitive. You won't be able to execute them, and if you did try, you would end up losing sleep and your health even when you are correct.
I'm working on a tool to make tracking business metrics easy. [0]
I've always had issues collecting business metrics like "signups per day" in observability tools, but using marketing type tools comes with it's own set of problems.
https://Podskim.com is a way to skim through podcasts like a TikTok sans the brain rot.
It also has some fact checking and topic monitoring behind the scenes.
Haven't figured out a business model for it yet but has been fun to keep poking it
With some friends, I've been building "Mo Money": a Duolingo-style app to teach investing through a gamified mix of microlearning and a real-time trading simulator (but it's a game). It's meant to be built as much for total beginners as it is for amateurs.
Sim side: A fully playable trading game backed by historical market data (no real $$), it's now integrated with a FastAPI backend, WebSockets, Firebase (soon), and XP system to track skill growth and gamify progress.
Learning side: A clean microlearning stack that teaches financial literacy in snack-sized bits, a lot like Duolingo, it's interactive, level-based & accurate and relevant information in the most digestible format.
Just added: a lightweight AI tutor for contextual Q&A during lessons. Thinking of adding a little more AI than a chatbot potentially to help learners in the app.
Upcoming: XP-linked achievements, a leaderboard, and a light paywall via Buy Me a Coffee.
We're undergrads building this from scratch, aiming for early users soon. If you’ve ever thought “I wish someone made markets feel learnable,” we’re trying to do just that. super excited
Quantitative stock and crypto trading, a mindfulness web extension, some really basic hardware projects I'm going to commercialize, I'm thinking about starting a youtube channel.
I'm working on getting all my supported iOS/MacOS/WatchOS/TVOS apps ready for Version 26 (Liquid Glass).
It introduces quite a few changes. In my shipping apps, I'll probably be simply telling the OS not to use Liquid Glass (for now), but for my various test harni, I will need to adapt. Looks like a fair bit of work.
Adding descriptions my library of images on my NAS so it can be searchable like google photos and iCloud.
Had fun with go and the code is as short as it gets.
A LLM-usage observability/monitoring tool (submitted to YC F25) and random game projects. One game I'm building is a tiny IO game inspired by moomoo.io but on Luna (our moon). Once that's done I'm thinking of making something with trains.
Using Google's GDELT to analyze velocity and sentiment around public-policy/political news. Objectives: develop a taxonomy of news-event types and their behavior; use that taxonomy to test faster/better time to market with responses; ultimately determine which scenarios, if any, can be predicted.
Working on AI/NLP stuff in low-resource languages. Working on some research ideas (hope to publish) and well as some practical tools for learning languages.
New “AI in a box” product, can run the big models I.e. DeepSeek-R1-0528 etc. comparatively cheap, fast and just works.
Our build partner is big on sustainability, considering a return to upgrade option.
Likely will do a prosumer SKU, will be faster and cheaper than the Mac Studio equivalent.
I’m almost done with my financial tracking application VuFi; I spent too much time logging into all of my financial applications every month to keep track of my money, so I built VuFi to automate the process.
Just like another poster, I'm also building a website of daily puzzles, finally at the point where it's mostly finished and I'm not completely ashamed of it - https://dailyplay.club
A residential proxy network that leverages blockchain by turning everyday users home connections who have no contracts against such practices, into rentable exit nodes, each contributing bandwidth in exchange for rewards.
A dedicated blockchain ledger tracks the exact amount of data each node relays and automatically releases micropayments in the network’s native cryptocurrency, ensuring transparent, real-time compensation without a middleman.
But with my adhd, I'll likely end up working on another project sooner than later. Interested in MCP aggregation.
Completely statically rendered web app vocabulary trainer. Probably just for myself or maybe a few friends. Or for anyone who wants to run it on their server or local machine. I am using Django and Jinja2 for it.
AI assisted algorithmic backtesting & trading. https://www.growbell.com. You describe your strategy in plain language and we'll do the rest. Pretty charts included.
Creating my first static site with the goal of learning to code and to write more.
Currently learning how to use AI in a constructive tutoring way, rather than give a fish way.
video watcher/unroller with images. I am working on adding feedback buttons, removing annoying LLM bugs, adding analytics and some kind of customer support. https://toolong.link/v?w=d1TpqmQ0I7U&l=en
~~Unless I'm missing something, that doesn't look like a jobs tracker.~~ Wait, I get it now, this isn't job applications, it's jobs available out there.
Building an ETF platform that extracts deep contextual info from the prospectus/SAI of all of the ~4500 American ETFs and populates an insightful taxonomy.
It is currently being built very actively, nearing completion. Once ready, I plan to launch it there yeah
The current tests look quite promising in terms of both depth and accuracy
Pomodoro technique with a quick shared break online minigame.
It runs a 25-minute focus timer, then launches a 3-minute round of a multiplayer minigame (right now just multiplayer Minesweeper), followed by a 2-minute cooldown with a chatbox
A couple friends and I do this manually, we work on side projects, mute ourselves on Discord, and play random games during the break. This just puts it all in one place.
Only Minesweeper for now, but planning to add a voting screen and a few more simple multiplayer games.
A mesh network library similar to Meshtastic. It just does simple flooding, because it's meant for low packet rates over reasonably fast transports, but it has a few cool features, some of which might or might not be working at the moment.
The MQTT routing backend is fully automatic. If two nodes are connected to the same MQTT server, or within range of gateways that are, they communicate.
The web client communicates directly with MQTT, meaning you can chat and set registers on devices without having hardware.
Last year I quickly built then released an experimental mixed reality horror game for Apple VisionPro: https://pulsargeist.com. It was a lot of fun and people actually liked the early prototypes of it. The game ended up completely tanking on VisionPro. Most people are on Meta Quest anyway so I'm now trying to re-implement the whole thing with Godot for Quest.
It's been a lot of fun but Meta HorizonOS (or whatever) is such a poorer dev experience... Anyway I'm now trying to rebuild the live environment mesh reconstruction feature that doesn't exist while encountering first limitations with Godot... Hopefully it will be ready in a couple months!
If this whole thing got you curious you can watch a technical talk I made about this game at the Letsvision conference in Shanghai, CN. https://www.youtube.com/watch?v=CYFH2hiRNqk
...and if social media doesn't somehow destroy your soul, you can follow me here: https://x.com/sxpstudio
I'm working on an AI platform to help mid sized companies figure out how close they are/develop a roadmap to utilize AI for tangible business uses (ie assess how much work is involved for a regional bank to utilize AI for fraud detection).
An app that allows you import text in a foreign language you are learning and then click on sentences or words to get a translation and generate flashcards from them.
Chances are if it looks the same and has other matching properties like press qualities (edge sharpness, density, etc), taste, smell, waxiness, and you’re in the same general location, and around the same time, it’s probably the same batch of pills.
Knock-offs tend to turn up later, be of inferior quality physically, and have worse reviews online and in the clubs / social circles.
Built an AI podcast that reads HN for me. It's funny hearing an AI get excited about tech news. You can totally tell it's AI, but honestly that's part of the charm.
Runs a cron daily, no manual work needed. Had fun building this.
Right now I am adding mobile UI to the gethly.com platform. Which is very boring. But once that is done, I am quite excited about the next feature for the platform - paywall as a service. It's nothing new, but it is something I am looking forward to implement.
On a whim, I bought a pack of playing cards at the supermarket. Now I'm learning how to play card games.
The card maker has its own web site with the rules for playing all kinds of card games, and it's filterable by number of players, including many games for one person.
Our staining our log home project has evolved into a replacing some logs project after demolishing the sketchy balcony that came with the house and discovering a bunch of rot.
Frankly, I'm astonished that it hadn't collapsed out from under me when I was shoveling snow off of it this past winter. Behind the ledger that tied the balcony to the house was a mess of pressure treated lumber scabbed into a cavity in the logs formed by rot, none of it well-fastened or fastened into truly sound wood.
A slide-in truck camper. It's been nearly a year and I still don't have the floor done. Truly an epic lesson in perfectionism, yak shaving, and saving time by starting with the right materials and design. I've learned a ton, but mostly in things I'll never use again. Eh, I shouldn't say that... the amount I've learned about solar power alone I'll probably use in the future to lower electric bills. But nobody really needs to know how to select weather-resistant non-foaming polystyrene-and-polycarbonate-compatible structural adhesives from an SDS, or how to build your own triple-glazed pressure-relief windows, or how to find plywood that doesn't suck. If I knew how taxing and time-consuming this project would be, I would've bought a used camper (and a bigger truck..)
I've been working on semantic search for Mac for the last few weeks.
It's called SmartSearch - uses SentenceTransformers for embeddings and FAISS for fast similarity search. Best of all, it runs locally on your computer.
Why? I absolutely despise Mac's search. I want to be able to search within documents, images, pdf etc.
I had been working on a macOS app last couple weeks. Got it approved by Apple today YAY!
It's called Heap. It's a macOS app for creating full-page local offline archives of webpages in various formats with a single click.
Creates image screenshot, pdf, markdown, html, and webarchive.
It can also be configured to archive videos, zip files etc using AppleScript. It can do things like run JavaScript on the website before archiving, signing in with user accounts before archiving, and running an Apple Shortcut post archiving.
I feel like people who are into data hoarding and self host would find this very helpful. If anyone wants to try it out:
After some 12+ years of collecting microservices platform ideas in my head and implementing them at various companies and open-source projects, I decided to create a system that contains all of them.
1Backend is the result. Mostly built it for myself so I have a foundation to build projects on but I'd love if others would also use it!
Since I had so much trouble managing my entire digital information universe [1], I decided to scratch my itch and solve it for myself and maybe others as well. Here are my ideas about my product:
- Manages the entire range of personal (and maybe business) information/content: Documents, Media, Messages (email, instant, etc.), Contacts, Bookmarks, Calendar, etc.
- Tag based, so that the question of where to put and find content is quite a bit easier to answer. Think of a set of flat folders, on one or more devices, within which the files are stored with tags attached. However, there will be some improvements on the usual implementation of tag-based systems out in the wild. Since people find navigating/browsing files more natural than searching, virtual folders will be dynamically generated to provide guided navigation. Also, entire folders can also be treated as atomic and tagged/managed as one object, useful for repositories and projects. And, heuristics (and maybe AI) will be used to automatically tag files when they are imported into the tool, greatly reducing the tedium of adding tags the first time.
- Is file based, so that all information is ultimately physically stored as individual files. This allows information to be more easily managed on a physical level: moved around, backed up, exported/imported, searched, navigated, etc. without the restrictions imposed by the opaque islands of information we have now. So in addition to docs, each email/instant message, contact, scheduled task/event, bookmark, etc. would ultimately be stored as a file, unlocking all the things you can do with files.
- Has a local web-based UI launched from a local agent, so actual file content does not usually need to move across the network and stays local, and the tool is also easily multi-platform, with consistent UI irrespective of platform.
- Provides a cloud web UI as well, that communicates with content devices through the local agent, so that content stored across multiple devices can be managed in one central location, even without direct access to those devices, team/org features can be provided. However, file content still stays local, except when shared.
- Provides tools for exporting data as file from the data islands of various apps and service, and backing up as files to cloud storage services.
My vision is a situation where I am in charge of my own data irrespective of whatever device, app, or service I use, can ensure that it is always available and will not be lost, and that I can easily navigate and search through it all to find whatever I want, no matter how scattered and massive it is.
I welcome your thoughts. What would make this work for you? Would you mostly prefer a cloud UI or a local UI? Are there any technical or market gotchas I should be aware of?
[1] Here are some of my issues with personal information management affordances of current tech, which is driving me to work on a solution:
- Our data is too bound to device and vendor islands. Can't easily move my information across Apple/Google/Whatsapp, etc accounts. Can't easily merge and de-duplicate either. I almost always somehow lose data whenever I have to move to a new phone, etc.
- Hard to own your data on many services: Discord, Slack, etc. Can't easily export, search
- Hard to have a 360 overview and handle on all your data assets and query them in consistent manner
- Files as a unit of information storage and management is very ergonomic; we shouldn't allow that concept to be buried by vendors for their own gain.
My own action MMORPG (think Mordhau meets Cyberpunk meets Arma 3). It's the perfect application of everything I already know as a platform engineer, and I get to learn all the things I don't. I'm making the client foss, the assets foss, and the gameplay compelling as all getout. Non-sharded, persistent world, with different lands for different real world regions. It's a type of metaverse in truth, but some of that part I have to flesh out better on the local client side where you can do whatever, but on the server there is a storyline.
I almost applied to YC because I'm at the stage I'm close to public alpha and need funding, but instead I'm planning on crowdfunding, but the release strategy has to be tops. I'm also doing things like planning on how to scale the business itself, lots of work on the over time growth profit model, etc. So basically, instead of a thousand side projects, I have one giant project where I get to do everything with my own theorycrafting - after years of being stuck doing whatever the boards/c-suite needs, it's a taste freedom and a dream.
I am making a few programs that takes everything I've learned from the 6 months writing 90s.dev and turns them into useful applications. One of them I'm going to release within a few weeks, it aims to be a modern dos+qbasic experience. Another one aims to modernize the experience of having a new computer that does almost nothing and you have to program it in assembly to get it to do stuff, except it'll use wasm (see my Ask HN post for details) with wamr+llvm for near-native performance and SDL3 for full GPU capabilities, and it's called hram.dev (H-RAM = hand-rolled assembly machine). That one needs a little more time to bake, so I have to release the qbasic+dos thing first to keep the lights on. Still thinking of a name...
A super hacky, OAI Codex/Cursor built dungeon master in your console. Started as "can I build this while riding in the car using codex?" to maybe taking it a little too far. I was happily surprised by the quality of the Wayfarer model.
Then I spent a couple months trying to use transformer-based models of sorts to detect short-lived inefficiencies in the stock market to try to create a passive income trading bot. I know short-term quant trading is super hard to be profitable, but Rentech did it, so I figured I'd throw a couple months at it.
Then I spent another couple months on AI for science, robotic lab automation, and trying to get AI to do AI research inside a Docker container.
I was in a similar boat some months ago but realized my inability to come up with good ideas was really just me getting frustrated by previous side-projects I didn't finish or got bored by.
What helped me get unstuck and get my creativity back up was setting myself constraints, like whatever I work on today, I'll ship it today, or let's try to make an intentionally useless bash script in 20 minutes.
pretty much every project out there could use some help.
to find ideas, start with the software you are using. is there any that you like using a lot where you feel that something could be improved? you can also look at websites that you are using, see if any of them are volunteer based.
if that doesn't lead to anything, look at your skills, or skills you'd like to learn. then look for projects based on that.
and finally just browse issues of various projects, search for "help wanted" or "good first issue" or similar and simply try out fixing one such issue, then see if you like working with that project.
i also have a project that i could use some help with, but the learning curve is a bit high (or rather the setup work you need to do to before you can start coding): https://news.ycombinator.com/item?id=42159045
It's pretty simple so far. I'm focused ok getting the basics right and robust, such that I can start playing around without disrupting the real network. I don't have any specific goals, I'm just sort of messing about.
One question that dropped into my lap today was who just announced 2k new Infohashes over the span of 10 minutes. That'll keep me busy for a while.
I'm building Mochi, a small programming language with a custom VM and a focus on querying structured data (CSV, JSON, and eventually graph) in a unified and lightweight way.
It started as an experiment in writing LINQ-style queries over real datasets and grew into a full language with:
- declarative queries built into the language
- a register-based VM designed for analysis and optimization
- an intermediate representation with liveness analysis, constant folding, and dead code elimination
- static type inference, inline tests, and golden snapshot support
Example:
The long-term goal is to make a small, expressive language for data pipelines, querying, and agent logic, without reaching for Python, SQL, and a half-dozen libraries.Happy to chat if you're into VMs, query engines, or DSLs.
- The encoder ring which works like an LED mouse, but in reverse: Fully reverse-engineered and on its own demo PCB
- The faceplate PCB, which does the actual control of the thermostat wires, has been laid out, but the first version missed a really-obvious problem involving the behavior on power-on with certain of the GPIO pins from the ESP32, so I've got rev 3 on order from the PCB manufacturer.
Nest Thermostats of the 1st and 2nd generation will no longer be supported by Google starting October 25, 2025. You will still be able to access temperature, mode, schedules, and settings directly on the thermostat – and existing schedules should continue to work uninterrupted. However, these thermostats will no longer receive software or security updates, will not have any Nest app or Home app controls, and Google will end support for other connected features like Home/Away Assist. It has been pretty-badly supported in Home Assistant for over a year anyway, missing important connected features.
Any ideas on how to source 2nd gen Nests? I just checked ebay and my local craigslist; nadda.
Do recyclers accept requests? Like pulling all the Nest units from the waste stream?
Yet another example of why not to buy a product that needs to be tethered to its manufacturer to work. Good luck. I’d be willing to beta test (I’d have to check what rev mine is)
The standard fiscal POS app was adapted to support a sort of low-trust swarm of waiters who used the app to collect orders. These orders were then transferred to a few high-trust cashiers by scanning QR codes generated on the waiters' apps.
After receiving payments, the cashiers' apps printed invoices and multiple "order tickets" categorized by "food," "drinks", "sweets"... This allowed waiters to retrieve items and deliver them to customers.
The system was used by around 40 users, with new waiters joining or leaving throughout the event. They used their own phones, and the app functioned without internet or Wi-Fi, gracefully downgraded (If a waiter didn't use the app due by choice or due to technical problems, they could manually relay orders to cashiers), Customers also had the option to approach cashiers directly, receive their order tickets, and pick up items themselves.
This is not that technically interesting, but I liked how the old manual system, the 70+ year village firefighting org. main cashier had, got digitalized in non-centralized way. (and I took this chance in trying to explain it, as I will have to, to maybe find more users for it)
https://airdefense.dev/
Tangential: do you have insights into viability of mini automated anti-drone turrets? Something you'd place on a truck or pull out of a trench when needed? We already have drones with shotguns. I guess it's the automatic acquisition and targeting that's the difficult part, but just how difficult is that?
Is the equipment efficiency meant to capture e.g. using a $1M missile to shoot down a $1k uav/rocket
This week, I'll set up a Hugo blog with the Ed theme, love it, looks exactly what I'm looking for, and as a former LaTeX enthusiast, it's pretty close. It's readable, minimalist. I'll need to customize the theme, though. I plan to publish blog posts about anything I find interesting.
https://gohugo-theme-ed.netlify.app/
In parallel to this work, I'm setting up a simple system to keep my website + subdomains easy to build, rebuild, and deploy with Caddy on a cheap Scaleway compute server. In the past, I had some ideas I wanted to publish, but the system I went with made managing the sites dreadful.
Once that's ready, I'm back to learning Rust and crypto. It's fun, interesting, challenging, remote-friendly, and the salaries are usually 30-50% better. My current tech stack feels like a dead end: it has a low ceiling in terms of salary, the projects are generally not very interesting (I'm grateful for my current project, it's the best there is with this technology), and I believe the technology will see a slow and steady decline.
Apart from work, I'm building the playground for my 2 yo son, and planting blueberries, he loves them.
Perhaps a first blog entry would be to show and tell how you setup the blog with Hugo+Ed on your domain in the first place.
As someone who is being told that they need to increase their non anonymous footprint online, I certainly would be interested in reading it.
My film got screened at the Academy Award-qualifying Bali International Film Festival and the Marina Del Rey Film Festival in the past month. It will be screening next month in New York City at the Asian American International Film Festival.
Otherwise, I'll let you know once it's widely available.
I also wrote a metaprogramming language which generates a lot of the editor UI for the engine. It's a bespoke C parser that supports a small subset of C++, which is exposed to the user through a 'scripting-like' language you embed directly in your source files. I wrote it as a replacement for C++ templates and in my completely unbiased opinion it is WAY better.
https://github.com/scallyw4g/poof
In all seriousness, I think I have the same propensity to have a hundred unfinished projects and have a hard time finding motivation to complete them. The difference might be that I have this 'big' project called a 'game engine' that wraps them all up into some semblance of a cohesive whole. For example, projects that are incomplete, but mostly just good enough to be serviceable (sometimes barely):
1. Font rasterizer 2. Programming language 3. Imgui & layout engine 4. 3D renderer 5. Voxel editor
.. etc
Now, every one of those on their own is pretty boring and borderline useless .. there are (mostly) much better options out there for each in their specific domain. But, squash them all together and it's starting to become a useful thing.
It just happened that I enjoy working on engine tech and I picked a huge project I have no hope of ever finishing. Take from that what you will
"I hate to advocate drugs, alcohol, violence or insanity to anyone, but they've always worked for me. --Hunter S. Thompson
I've always also had a side project or two in this domain but I've never managed to stick with one for more than 3-5 years.
Still working on the realtime, memory, and game playing part. If anyone is interested, feel free to join and build.
From a dev perspective this area has a ton of super interesting algorithmic / math / data structure applications, and computational geometry has always been special to me. It's a lot of fun to work on.
If anyone here is interested in this as a user, I'd love for any feedback or comments, here or you can email me directly: tyler@vexlio.com.
Some pages the HN crowd might be interested in:
* https://vexlio.com/blog/making-diagrams-with-syntax-highligh... * https://vexlio.com/solutions/state-diagram-maker/ * https://vexlio.com/blog/speed-up-your-overleaf-workflow-fast...
This is an example, https://terostechnology.github.io/terosHDLdoc/docs/guides/st...
But it only outputs an SVG, and there are no tools (AFAIK) that go from diagram to code, which should easy to setup.
So I'd consider extending this to both generate code and read in code and make these nice interactive diagrams.
Overall amazing though, will be using!
Re: desktop version. The short answer is yes, probably, but I don't have a concrete timeline. I made tech and architecture choices from the beginning to make sure a cross-platform desktop version always remains possible. Frankly, the biggest obstacle for desktop is not the app itself, but distribution and figuring out a pricing model. The current solution for enterprise, business, and other interested people, is to self-host Vexlio, with separate licensing.
* OSINT (r00m101 just beat me to it by launching...)
* Research into recommendation algorithms, advertising placement algorithms, etc
* Marketing (ad libraries, detailed analysis of content given data not even exposed to the mobile app due to some interesting side channels, things like trend analysis, etc)
* Market research for products
* Sales teams can use it to find exact mentions of other products. Eg: selling crash reporting software? Look up your target accounts' brands and find examples of complaints.
Plus a few more with more imagination.
So I'm working on a site that allows user access to some of the read-only functions available here. Coming soon :tm:. Been really fun building it all in Rust, though :) If you're interested in anything here, email in profile.
[0]: https://github.com/redlib-org/redlib
My main question: why, do you like the UI? I honestly really hate the reddit app, I haven't seriously used it for browsing since I fixed up Libreddit into Redlib :)
I'd also just like to play around with different styles of frontend just as a way to hack on things.
What makes you special in this aspect? Seems you are small fish now, but if your niche project picks up steam. Nothing to stop them from cutting you off or forcing you to court/injunction and waste your personal resources.
We're also working on the Premed Super App, same thing for people taking medical school entry exams like the MCAT or MDCAT.
I get to work with a bunch of top notch students and doctors, and I myself am the first ever full-stack technologist who also is a doctor in Pakistan, a country of 250 million people.
Folks have reached out about having an 'In Loving Memory Of' site for their loved ones, so I'm turning this into a side business to help out more with my (now widowed) father's retirement and care.
Project Website: https://gemlink.app/ Companion extension: https://chromewebstore.google.com/detail/snapreader/pickciba...
Obviously the main thing is getting the listings data, which as far as I know (mostly) isn't readily available any other way that scraping the cinemas' websites, for which I set this up as a separate-ish project[1]
[0] https://filmhose.uk
[1] https://github.com/Joeboy/cinescrapers
Time Out should have long done that but instead they stopped their print edition.
[0] https://github.com/Joeboy/cinescrapers
My son has inherited my love of cooking and baking, so we'll refine the book, add comments and photos, and eventually print and bind copies for our family and friends.
I also am hoping to laser engrave some old cookie sheets with one of my grandma's hand-written recipes. The problem I have is that it's rather faded, and I don't know yet how to make it pop for a good contrast.
Wasn’t planning on announcing it here but what the hell.
I do plan on open sourcing more of the code over time. I also have started working on other sites using the same algorithm implementation (music, movies, video games)
This has just been a side project over the year generating passive income. I get around 250,000 page views a day, and with ads, memberships, and affiliate links I make around $2,500~ a month.
Tech stack is ruby on rails 8, postgresql 17, opensearch, redis, bootstrap 5.3 hosting on 3 servers on linode.
First we built it as a tool to fix any bug. After talking to a few folks, we realized that it is too broad. From my own personal experience, we realized how messy it is within organizations to address accessibility issues. Everybody scrambles around last minute. No body loves the work - developers, PMs, TPMs etc. And often external contractors or auditors are involved.
Now with Workback, we are hoping to solve the issues using the agentic loop.
If you personally experienced this problem, would love to chat and learn from your experience.
[1] https://workback.ai
The main use-cases I'm thinking of right now is triggering agents using email or a very simple document upload flow to any SaaS (just forward an email to the SaaS).
https://recivo.email/
Long-term, passion project of mine - I'm hoping to make this the best typing platform. Just launched the MVP last month.
The core idea of the app is focusing on using natural text. I don't think typing random words (like what some other apps do) is the most effective way to improve typing.
We offer many text topics to type (trivia, literature, etc) where you type text snippets. We offer drills (to help you nail down certain key sequences). We also offer:
- Real-time visual hand/keyboard guides (helps you to not look down at keyboard) - Extremely detailed stats on bigrams, trigrams, per-finger performance, etc. - SmartPractice mode using LLMs to create personalized exercises - Topic-based practice (coding, literature, etc.)
I started this out of passion for typing. I went from 40wpm to ~120wpm (wrote about it here if you're interested: https://www.typequicker.com/blog/learn-touch-typing) and it completely changed my perspective and career trajectory. I became a better programmer and writer because I no longer had to think about the keyboard, nor look down at it.
Currently, we're doing a lot of analysis work on character frequencies and using that to constantly improve the SmartPractice feature. Also, exploring various LLM output testing/observability tools to improve the text generation features.
Approaching this project with a freemium model (have paid AI powered features; using AI to generate text that targets user weakpoints) while everything else in the app is completely free. No ads, no trackers, etc. (Hoping to have sufficient paid users so that we can run the site and never have to even think about running ads).
I've received a lot of feedback and am always looking for ways to improve the site.
Dunno about the trigrams though, mostly it's on the "token group" level for me - either the upcoming lookahead feels familiar or it doesn't, and I don't much get bothered by the specific letters as much as "oh I don't have muscle memory on that word, and it's sadly nestled between two easy words, so it's going to be a patchy bit of alternating speed".
> Dunno about the trigrams though, mostly it's on the "token group" level for me - either the upcoming lookahead feels familiar or it doesn't, and I don't much get bothered by the specific letters as much as "oh I don't have muscle memory on that word, and it's sadly nestled between two easy words, so it's going to be a patchy bit of alternating speed".
Could you elaborate a bit on this part - not sure I fully follow.
The trigrams/bigrams is mostly to help the user discover if there are some patterns that really slow them down or have a lot of mistakes. This is something I wanted that I didn’t see in any other apps.
This also what we use under the hood for SmartPractice weak point identification. We look at what the most relevant character sequences (for example the ta sequence is way more common than za) are and what the user struggles with the most. This is just one of the weak points we use in the user weakness profile.
Yeah, LLMs are indeed really good for this use case.
> That said. I would love to see a middle tier pricing which had some features but avoided the AI use.
Only paid features are AI features. Everything else is free and no ads :)
You can type anything and as much as you want, you have access to all the advanced stats, you can create a custom theme from a photo of your keyboard, etc.
Everything but AI features is free right now. (Might change in future as we’re adding a lot more features so we will definitely consider a mid tier price )
We're headed into an era of massive white-collar reskilling.
How you think > What you know.
Critical Thinking skills will be the most important skills as we AI expands throughout the economy and we're surrounding by LLMs that are highly fluent
Socratify is a Critical Thinking Coach that sharpens How You Think and Speak by Debating AI
It proposes interesting questions (currently business related) that you debate in 2 min conversation and get feedback on how you think and speak
I've had some breakthroughs with LLM translation, and I can now translate (slowly, unfortunately) at a far far higher quality than Opus, and well above DeepL. So I'm considering offering that as an API, though I don't know how much people actually care about translation quality.
DeepL's customers clearly don't care - their website is all about enterprise features, and they appear to get plenty of business despite their core product being mediocre.
Would people here be interested in that?
* Expect/snapshot testing library for F# is now seeing prod use but could do with more features: https://github.com/Smaug123/WoofWare.Expect
* A deterministic .NET runtime (https://github.com/Smaug123/WoofWare.PawPrint); been steaming towards `Console.WriteLine("Hello, world!")` for months, but good lord is that method complicated
* My F# source generators (https://github.com/Smaug123/WoofWare.Myriad) contain among other things a rather janky Swagger 2.0 REST client generator, but I'm currently writing a fully-compliant OpenAPI 3.0 version; it takes a .json file determining the spec, and outputs an `IMyApiClient` (or whatever) with one method per endpoint.
* Next-gen F# source generator framework (https://github.com/Smaug123/WoofWare.Whippet) is currently on the back burner; Myriad has more warts than I would like, and I think it's possible to write something much more powerful.
It's a web-based notepad calculator, which means it's a notes app but it can evaluate inline calculations like
``` £300 in USD + 20%
09:00 to 18:30 - 45 minutes ```
I wrote the core of the calculator a few years ago, and I've just launched a big rewrite that supports
* document syncing * offline editing * markdown formatting * PDF and HTML exports * autocomplete * vim mode
Happy to hear feedback :)
I recently impulse bought an Epson receipt printer, and I’ve started putting together a server in Go to print a morning update every day. Getting it to print the weather, my calendar and todos, news headlines, HN front page. Basically everything I pick up my phone for in the morning, to be on paper rather than looking at a screen first thing. Very early days but hacking away and learning escpos/go! (Vibecoding a lot of it)
https://github.com/petertjmills/escpos-server
Rebranding as https://cronjobs.run since ill allow more than just javascript next week!
- https://github.com/rumca-js/Internet-Places-Database - Database of Internet domains, links
- https://github.com/rumca-js/Django-link-archive - RSS client, web crawler
- https://github.com/rumca-js/crawler-buddy - web scraper, web crawler, with JSON interface
A project is like a pet. You cannot just "stop" caring about it. If it lives, then you have to look after it
Im working on simplyfing the code further. I tried really all of the "productivity" stuff to stay organised. Got angry multiple times, went to pen and paper, was OK, but i felt i just need a slight glimps of tech to make it more functional. Something little more than plaintext file, but not much.
I’m trying to build a consolidated database of PFAS free products that make it easier for shoppers to find safe foods, cleaners, clothes, and other products families commonly use. The database shows not only the product, but the reason it’s considered pfas free; sometimes all you have to go on is the brands word, sometimes there is third party testing for pfas, sometimes there is a material issue justifying it. We tried to present it all for the consumer to easily decide. Users can search, or browse for products using categories.
The database is here: https://database.pfasfreelife.com/
After HashiCorp was acquired by IBM I decided to take time off from corporate life and build something for myself. For years I've also been a casual retail investor on the side.
Forums like /r/stocks and /r/wsb in the past have been useful resources for finding leads and interesting information. But meme-ification (among other factors) have substantially degraded sites like Reddit, to the point where interesting comments are much fewer and far in between. With TickerFeed I'm hoping to recapture what was lost - a platform where investors can discuss companies and all things stock market through meaningful long form content.
It's also a chance to build something with my dream stack - Go + HTMX + SQLite, and that's been fun :)
https://lab.razor.fyi/
GitHub: https://github.com/jjonescz/DotNetLab
[1] https://store.steampowered.com/app/3498390/Astroloot/
I have a SteamDeck myself and the game constantly runs at 90fps. The game has full controller support, so it is very comfortable to play on Deck.
After a lot of grief trying to make Plex and jellyfish to work with my collection, and then some more with the community [1] I decided to make my own.
There's no selling point and clear pathway to monetize, as other solutions are way more mature and feature complete, but this is my own and serves my needs the best.
I've been working on it on and off for last 8 years or so, and it's been my personal benchmark for js ecosystem. The way it works, every now and then I come back to the project, look at the latest trends in js world and ask myself a simple question - what should I change in the codebase to make it online with the latest trends. And everytime it leads to full rewrite. Kind of funny, kind of sad.
In a nutshell I have a huge movie collection - basically I'm preparing for armageddon where all online streaming services cease to exist and I need both backend to fetch me detailed information about movies in the collection as well as frontend to help to decide what to watch tonight.
My next major endeavor will be trying to integrate RAG to take a bite at my holy grail - being able to ask a question like "get me a good gangster flick" and get reasonable recommendations.
[1] I think it was jellyfish where I was asking on their forums for how to manually create a collection, stating I'm a software engineer with 20+ exp and they kept telling me that I shouldn't touch the code... While having an online campaign asking for volunteers to contribute to the codebase.
For me that means Go + stdlib HTML templates (I want to try Gomponents at some point) to minimize dependencies. I copied the HTMX JS minified file into my source tree for some interactivity. I handwrote the CSS.
It looks very "barebones" (some would say ugly), but it's been solid as a rock. It's been a year and I haven't needed to update a thing!
I remember asking them some 10-15 years later to help me with a project and they were like "sure, we'll do it CakePHP". Initially I was like "you mean in Cobol?". But then I realized they were masters of that tech, it works, and there's no need to reinvent the wheel and learn some new trendy web framework that will be forgotten in a blink of an eye.
For my 3D audio project I need an affordable way to make plastic cases. I felt like injection molding services are way overpriced, so I decided to make the molds in-house. Turns out, CNC milling is overpriced, too. As are 5 axis CNC mills. So in the end, we built our own CNC machine.
And like these things always go, I found an EMI issue with my power supply and a USB compliance bug in the off-the-shelf stepper control board. But it all turned out OK in the end so we now have the first mold tool that was designed and machined fully in-house. And I learned so much about tool paths and drill bits. Plus it feels like now that everyone has experienced hands-on how stuff is milled, my team got a lot better at designing things for cheap manufacturing.
https://youtu.be/3ZTGwcHQfLY
It is easy to select multiple holes/pockets at once so if you iterate, you don't spend time redoing CAM! It does traveling salesman to solve for efficient paths which even the expensive packages don't get right. Calculates v-bit paths too.
On me: https://sites.google.com/view/gatorcam/home
Why do you need to make so many molds?
Beyond the landing page (built with Astro), I've been building all of the route optimization, the delivery and warehouse management systems. A combination of go and java has allowed me to write a few microservices in the past 6 months to handle all of my logistical processes, and I'm just testing the mobile app in the field as we speak! I hope to make some of the code open-source one day!
1 - https://github.com/google/or-tools
https://github.com/ClassicOldSong/refui-hackernews-demo
It started as a demo only but it looks slick so I added standalone PWA to it to be installable as a desktop app. Now browsing HN feels even better!
My day job required me to go into office frequently, and I'm really feeling the reduced social connection of being fully remote in a small company. Any suggestions how to deal with this? I'm planning to reconnect with old friends, surf a lot, go rock climbing, and maybe take dance / music / other classes. Would also love if anyone wants to work together in the same place (library, coffee shop, etc). I'm in Escondido California, but happy to drive ~30 min to meet folks.
But if you want a balance of flexibility and stopping stingray stings, we really are the best. Nobody else is even trying, lol, the other options pretty much do nothing, or are encased in steel and not flexible at all.
Check out Eventship. Hussein is local to SD. You should also meet Fred for press.
I’ll try and remember about these in the winter. I need new booties anyways. How many mm? 2 plus 2 so 4?
https://eventship.com/
Ya exactly, 2 layers of 2mm each, for a total of 4mm. They’re less warm than most 4mm booties would be though, because they’re intended for the protection. If you’re in SoCal that’s a feature — your feet should stay warm but not overheat :)
* of its ability to store unit system data as code
* unit conversion is an iterative deepening depth first search
* manipulating symbolic arithmetic is so easy
Unfortunately, it requires users to compile swi-prolog for source because the library is using some unreleased features. If anyone would like to test and report some feedback, I would be truly grateful !
1. https://github.com/kwon-young/units
2. https://mpusz.github.io/mp-units/latest/
* https://trosko.hr (HR, Android/iOS app) - super-simple receipt/bill tracker (snap a photo of the receipt, reads it using Gemini, categorizes and stores locally - no accounts, no data gathering)
* https://github.com/senko/think (open source) - Python client library for LLMs (multiple providers, RAG, etc). I dislike the usual suspects (LangChain, LLamaIndex) but also don't want to tie myself to a specific provider, so chugging on my on lib for this.
Lets you create encrypted containers disguised as normal files. 1000s of images, pdfs, videos, secrets, keys all stuffed into an innocent look "Vacation_Summer_2024.mp4".
I've almost got true steganography working i.e to get the carrier file to actually open in any file system(currently with mp4, pdf, png and jpeg).
Things like this have existed in the past, but nothing with a simple UI,recent encryption standards.
Main focus is https://wheretodrink.beer, collecting and cataloging craft beer venues from around the world. No ambition of being exhaustive, but aiming for a curated and substantial list. After the last thread, a bunch of people added their suggestions, thanks! It helped add interesting new venues from cities I hadn’t covered yet.
I’m very slowly layering on features, and have a few spin-off ideas I’ll keep brewing on for later. The hardest problem thus far has been attempting to automate popularity rankings and automatic removal of defunct venues without breaching a bunch of ToS.
Also made https://drnk.beer, a small side project offering beer-related linkpages and @handles for Bluesky (AT Protocol). It's been on the backburner, but still very much live.
Probably looking for another small project for the next few months to focus on something else for a while. Always curious to see what others are building and doing. Thanks for sharing!
Think around 5% is from visitors, 10-15% from my own experience and the rest just procrastination research.
Started with the cities I know well, and after that adding on countries or cities close by, main focus has been Europe. At one point I tried to use ratebeer's dataset as a starting point, before they closed down, but it was so horribly outdated and irrelevant that it was more work than sourcing manually.
So I basically look for existing blog-ish top-lists for a city, then try to verify the information with search, social media, untappd, etc. Looking for social proof that the venue is operational and relevant.
To keep it updated I have some very rudimentary monthly tasks to ping a venue's website and notify me on things that signal they're closed. I also email myself a list of 10 random venues with all relevant links daily, so I can do a manual 5 min alive check.
https://github.com/codr7/shi
https://github.com/codr7/shi-cl
I am using cerebras for book translations and verb extraction and all LLM related tasks. For TTS I am using cartesia. I have played around with Elevenlabs and they have slightly natural sounding TTS but their pricing is too steep for this project. Books would cost a couple of hundred euros to process.
[1] https://www.fisherloop.com/en/
- The idea: https://carlnewton.github.io/posts/location-based-social-net...
- A build update and plan: https://carlnewton.github.io/posts/building-habitat/
- The repository: https://github.com/carlnewton/habitat
- The project board: https://github.com/users/carlnewton/projects/2
I started on a Zig one and nope'd right on out of that after a few hours of fighting the compiler.
I'm currently working on porting a bunch of my Rust mini-games to other languages. [3]
[0] https://github.com/Syn-Nine/odin-mini-games/tree/main/2d-gam...
[1] https://github.com/Syn-Nine/c3-mini-games/tree/main/2d-games...
[2] https://github.com/Syn-Nine/freebasic-mini-games/tree/main/2...
[3] https://github.com/Syn-Nine/rust-mini-games/tree/main/2d-gam...
Local-first web applications with a compiled backend – After eight years working on web platforms, the conventional stack feels bloated. The client already defines what it wants to fetch or insert. Usually through queries. So why not parse those queries and generate the backend automatically (or at least, the parts that can be)?
Triple stores as a core abstraction – I’ve been thinking about using a triple-based model instead of traditional in-memory data structures, especially in local-first apps. Facts could power both state and logic, and make syncing a lot simpler.
Lower-level systems programming – I’ve mostly worked in high-level languages, but lately I’ve been writing C libraries (like hash maps) and built a minimal 32-bit bare-metal RISC-V OS.
It’s all still brewing, but I think these ideas tie together nicely. What if the OS didn’t have a file system and just a fact store? Everything could be queried and updated live, like a Lisp machine but built on facts.
Some other things I’ve been playing with:
A jQuery-like framework and element factory - You can pass signals that automatically updates the DOM.
A Datomic-like database on top of OPFS - where queries become signals that react to new triples as they enter the system. Pairs well with the framework above.
I'm planning on doing a proper writeup/release of this soon, but here's the short version: https://gist.github.com/samscott89/e819dcd35e387f99eb7ede156...
- Uses lldb's Python scripting extensions to register commands, and handle memory access. Talks to the Rust process over TCP.
- Supports pretty printing for custom structs + types from standard library (including Vec + HashMap).
- Some simple expression handling, like field access, array indexing, and map lookups.
- Can locate + call methods from binary.
The key goal is that the creators of 3DGS models can use Blurry as a powerful tool to build the 3D experience that is performant, simple, and aesthetically pleasant for end users (viewers).
3DGS models can be shared via a link or embedded on a website, notion, etc..
Link: https://useblurry.com
While Cursor stops after writing great code, Vide goes the extra mile and has full runtime integration. Vide will go the extra mile & make sure the UI looks on point, works on all screen configurations and behaves correctly. It does this by being deeply integrated into Flutters tooling, it's able to take screenshot/ place widgets on a Figma-like canvas and even interact with everything in an isolated and reproducible environment.
I currently have a web version of the IDE live but I'm going to launch a full native desktop IDE very soon.
https://splice-cad.com
Building cables for multiple personal and professional projects, I was frustrated by having to cobble together harness diagrams in Illustrator or Visio, cut snippets from from PDFs for connector outlines, map pin-outs, wire specs, cable constructions, mating terminals, and manually updating an Excel BOM.
Splice gives you:
An SVG canvas to drag-and-drop any connector or cable from your library to quickly route and bundle wires. Assign signal names to wires or cable cores.
Complete part data Connector outlines, pin-outs, terminal selections (by connector family & AWG), cable core colors & strand counts, wire AWG/color.
Automated BOM & exports parts-ready diagrams, wiring drawings, and a clean BOM in SVG, PNG, or PDF.
Connector & Cable Creators. Connectors or cables not in the existing library can be added with an optional outline and full specs (manufacturer, MPN, series, pitch, positions, IP-rating, operating temp, etc.), then publish privately or share publicly.
Demos & tutorials: Harness Builder → https://www.youtube.com/watch?v=JfQVB_iTD1I
Connector Creator → https://www.youtube.com/watch?v=zqDsCROhpy8
Cable Creator → https://www.youtube.com/watch?v=GFdQaXQxKzU
Full tutorials → https://splice-cad.com/#/tutorial/
No signup required to try—just jump in and start laying out your harness: https://splice-cad.com/#/harness. If you want to save, sign up with Google or email/password.
Check out https://www.hi-harnesses.com/ - limited parts at this point but the closest thing I know of.
It helps you track, understand, and plan your personal finances — with a proper accounting foundation.
It's interesting in many way. Using double-entry (it's a perspective shift), the technical challenges of building local-first app, UI/UX & visualizations, privacy and more.
> A: Your financial data is stored locally on your device. ...
Good stuff! This was the first thing I checked, and it means I am now reading more about the app. Really nice to see this approach.
I know this is still WIP, but is feedback ok? The plan buttons say "Get starterd" which is a funny typo :) Also, I was not sure, but is this a website app, or a local app? For local data, I would strongly prefer an actual local app. Some screenshots of how it looks on multiple devices (directly comparable, as in, this is the same view and same data on iOS/Mac) would be great. Finally, do you have bank links? _The_ killer app I want in a personal finance app, and you'd be surprised how many make this really difficult, is to track my actual income and spending.
I signed up for your newsletter. Rare for me to do. Looking forward to hearing more!
More specifically, I'm trying to use pitch (F0) to dynamically adjust the theta parameter in rotary positional embeddings, so the frequency of the positional encoding reflects the underlying pitch contour of the speech and instead of using a fixed unit circle (radius=1.0) for complex rotations, I'm trying to work out how to use variable radii derived from the pitch. The idea is to create acoustically-weighted positional encodings, where the position reflects the acoustic salience in the original audio. https://github.com/sine2pi/asr_model
An iOS client for Cloudflare. Surprisingly, there’s none out there, maybe because nobody needs it? I do, so I’ve created one and it’s now available on TestFlight [0].
Another interesting thing I’ve recently discovered is that LLMs are pretty great at vetting tenancy agreements, so I’m working on a website that reads tenancy agreements and will return a list of unfair clauses that might be present in the contract along with a detailed explanation of how you should follow up with the landlord/agency. I still need to finish it but if you’re interested it’s here [1].
[0]: https://testflight.apple.com/join/Jj7WveWb
[1]: https://transparents.fyi
I release code into the public domain hoping it will be useful. There's some fast code for Groebner basis computations using the F4 algorithm (parallelized - article to follow), and some routines for machine integers e.g. discrete logarithm, factoring, and prime counting.
Since TP 3.0 does no optimisations, and looking at the progress so far (~25% decompiled), it seems like matching decompilation should be achievable.
If/when I get to 100%, I hope to make the process of annotating the result (Func13_var_2_2 is hardly an informative variable name) into a community project.
Good luck!
It's similar with Turbo Pascal 3.0, but there's only one segment since it's a good old COM file. The compiler just copies its own first ~10000 bytes, comprising the standard library, and splices the compiled result to the end.
I can see how this makes transcompilation relatively straightforward, although the real mode 16-bit code is a bit unpleasant with all the segment stuff going on, so you might as well just decompile :D. It's very possible that similar instructions will be emitted in 3.0 and 4.0 for the same source input.
My program also has the stack checking calls everywhere before calling functions. I think that people using Pascal weren't worried about performance that much to begin with, so they didn't bother disabling it.
Although it has cult status in Israel for some reason.
https://www.npmjs.com/package/@mindpilot/mcp
Claude Code Quickstart:
``` claude mcp add mindpilot -- npx @mindpilot/mcp ```
A bit of background: I have been working on a Raga classifier since November of last year - I started with just 2 ragas and a couple megabytes of audio. After experimenting with a lot of different ideas and Neural Net Architectures, I finally landed on one that could scale. I increases to 4 ragas, then 12, then 25 and then to 65.
All the training is done locally on my desktop (RTX4080, AMD 7950X, 64G RAM). My goal is to make an app for fast inferencing (preferably CPU) and to get this app in the hands of enthusiasts so that I can get some real data on its efficacy. If that goal is hit, then my plan is to iterate and keep increasing the raga count on the model and eventually release to the public. As long as I can get the model to either run locally or for very cheap on server, I hope to not charge for this.
It has been an amazing learning experience. The first time I got a carnatic singer to sing and the model nailed almost all ragas was the highest high I've felt in a while.
Another Moby-Dick of mine is Kadessh, the SSH server plugin of Caddy, formerly known as caddy-ssh. This one is an itch. I wrote about it here https://www.caffeinatedwonders.com/2022/03/28/new-ssh-server..., and the repo is here: https://github.com/kadeessh/kadeessh. Similar to the other one, feedback and helping hands are sorely needed.
They are both sort of an obsession and itches of mine, but between dayjob and school, I barely have a chance to have the clear mind to give them the attention they require.
- A home-rolled router/firewall: Using yocto to create a distribution for a router/firewall for my home network. It started as an exercise in wanting to have more control over the security of my home network, as well as see how nice of a UI/UX I can tease out of an LLM. It's also part of a (seemingly never ending) consolidation of homelab services.
- A SNES Reverse Engineering setup: A nephew of mine is starting to get into video games and is starting with a SNES but his system broke. I'm working on helping repair the console, but am also trying to set up an effective "LLM + Ghidra + SNES emulator + image generation AI + asperite plugin" to allow him to swap sprites and text in games to add some creativity and learning to the experience.
- A personal assistant system: Experimenting with agents to create a personal assistant for our house, and seeing to what extent the agents can be helpful and how much hardware is required to run something like that in-house.
- aztui: A TUI for exploring and interacting with Azure resources. I'd like to add some caching/pre-fetching logic to make the interaction with the interface snappier (one of the main motivators to create it).
I've been using GPT pretty heavily throughout, and it has been a lot of fun both using it, and spending some dedicated time looking at the models themselves along with the frameworks that support running and integrating them.
I've been thinking a lot about the current field of AI research and wondering if we're asking the right questions? I've watched some videos from Yann LeCun where he highlights some of the key limitations of current approaches, but I haven't seen anyone discussing or specifying all major key pieces that are believed to be currently missing. In general I feel like there's tons of events and presentations about AI-related topics but the questions are disappointingly shallow / entry-level. So you have all these major key figures repeating the same basic talking points over and over to different audiences. Where is the deeper content? Are all the interesting conversations just happening behind closed doors inside of companies and research centers?
Recently I was watching a presentation from John Carmack where he talks about what Keen is up to, but I was a bit frustrated with where he finished. One of the key insights he mentions is that we need to be training models in real-time environments that operate independently from the agent, and the agent needs to be able to adapt. It seems like some of the work that he's doing is operating at too low of an abstraction level or that it's missing some key component for the model to reflect on what it's doing, but then there's no exploration of what that thing might be. Although maybe a presentation is the wrong place for this kind of question.
I keep thinking that we're formulating a lot of incoherent questions or failing to clearly state what key questions we are looking to answer, across multiple domains and socially.
RAG and/or Fine-tuning is not the way.
Another topic is security, which would consist of using Ollama + Proxmox for example, but of course, right now, as emergent intelligence is still early, we would have to wait 2-3 years for ~8 B parameter local models to be as good as ChatGPT o3 pro or Claude Opus 4.
I do believe that we are close to discovering a new interface. What is now presenting itself through IDE’s and the command line (terminal)… I strongly believe we are 1-2 years away from a new kind of interface, that is not meant for developers only.
That feels like an IDE, works like a CLI, but is intuitive as Chrome is for browsing the web.
Struggling to get the generated iterations to be up to a standard I'm happy with at the moment, but improving every day!
We're building a chat app that automatically creates and manages your to-do list right from your conversations.
I started this for a simple reason: I was tired of the soul-crushing 'copy-paste' work of moving decisions from Slack over to Notion or Jira. So much context gets lost in that process, and it just creates more "work about work."
Our core idea is simple: a chat message and a to-do item shouldn't be two separate things you have to keep in sync. In Markhub, the conversation is the task. It's not a copy; the conversation itself becomes the to-do, and all the context is automatically preserved.
Our bigger vision is to do for collaboration what GitHub did for Git. We’re not reinventing chat or kanban boards; we’re building the seamless 'workflow layer' on top that finally makes them work together.
We're currently in a private beta and would love to hear from HN users who feel this same pain. We’ve been fortunate to get early traction with large enterprise clients (including a ~$200k on-premise deal), but now we're looking for feedback from smaller, agile teams.
Any and all feedback is a gift. Thanks!
- Reimagined Feed: Ditched the traditional noise—see the prompt and model behind each creation, get inspired, and check out top curated models’ performance. No more digging to figure out how the magic happens.
- Template Remixing: Creators can drop reusable templates for others to remix and build on, speeding up that creative flow.
- Curated Models: Handpicked the best for images, videos, audio, and text—think Costco quality, no endless searching or tweaking needed.
- Infinite Canvas: Reworked the workflow with an upcoming infinite workspace where creators can prompt, drag, and drop to mash up content across media.
- Built for Non-tech Creatives: Driven by our AGI-for-The-Rest-of-Us mission, it’s tailored for non-technical creators to turn imagination into reality.
- Flexible Pricing: No wasted credits—top up for up to 30% extra, never expire, plus member discounts on curated top-tier voice, image, video, and text models.
Happy to chat if you’re also into vibe coding, building consumer AI.
USBSID-Pico is a RPi Pico (RP2040/W RP2350/W) based board for interfacing one or two MOS SID chips and/or hardware SID emulators over (WEB)USB with your computer, phone, ASID supporting player or USB midi controller.
More info at https://github.com/LouDnl/USBSID-Pico
Well done. This is really cool.
It doesn't require an LLM or api keys to run so you can install and go. Hope it helps somebody:
repo: https://github.com/mmdclx/url-to-markdown-cli-toolCreated a game to learn navigational marks in the Solent https://guess-the-mark.verdient.co.uk/
Putting together the landing page for my software business https://verdient.co.uk/
I’m also putting together an analysis of warhammer 40k games and applying operational research techniques to it.
Reading through the Terms of service in websites is a pain. Most of the users skip reading that and click accept. The risk is that they enter into a legally binding contract with a corporation without any idea what they are getting themselves into.
How it started: I read news about Disney blocking a wrongful death lawsuit, since the victim agreed to a arbitration clause when they signed up for a disney+ trial.
I started looking into available options for services that can mitigate this and found the amazing https://tosdr.org/en project.
That project relies on the work of volunteers who have been diligently reading the TOS and providing information in understandable terms.
Light bulb moment: LLM's are good at reading and summarizing text. Why not use LLMs for the same. That's when I started building tosreview.org. I am also sending it for the bolt.new hackathon.
Existing features: Input for user entered URLs or text Translation available for 30+ languages.
Planned features: Chrome/firefox extension Structured extraction of key information ( arbitration enforced , jurisdiction enforced etc).
Let me know if you have any feedback
Would love to chat with people looking to combine n8n-ish capabilities in their code!
https://Full.CX - still hums along in the background. Couple of customers. Just added MCP which has been amazing to use with AI coding agents. Updating the UI/UX to ShadCN to improve usability and make it easier for future changes replacing NextUI and Daisy.
https://Toolnames.com - no changes this month.
https://Risks.io - little bit of work on the new platform, yet to be released.
https://dalehurley.com - little facelift
Same thing in firefox and chrome on mac.
Appio lets you add mobile widgets and native push notifications to your web app within minutes—without building or maintaining mobile apps, hiring developers, or dealing with app stores. You can try it at: https://demo.appio.so/
If you’re building a web-based product without a mobile app, or just want to try Appio, I’d love to chat! You can reach me directly via https://my.appio.so/ or drop a comment here.
This is something I’ve needed myself over the last few years as jobs become shorter and shorter lived. Keep on improving it as some kind of compulsion.
Going from Manifest to OCI is a bit tricky and performance for calculating total storage based on metadata is hard to get right. But the result is that we own our full registry implementation and can take it any direction we want. Quite happy with that!
— it turns ebooks, articles, and documents into synchronized audio with real-time text highlighting. It’s great for people who prefer listening while reading (or want to stay focused), and it works fully offline with a one-time purchase — no subscriptions.
I’m bootstrapping it and trying to figure out how to market it effectively. So far, I’ve had some traction and early sales just by posting on Reddit, but I’m still learning the marketing side — especially how to reach people who’d benefit from it most.
Would love to hear how others approached early growth for similar bootstrapped tools.
Nothing to show yet, still in development, I hope I can share a github link in one or two months.
The idea came from noticing how most people manage money day to day: checking their balance, adjusting by feel, trying not to drift. There are tons of tools for planning or categorising, but not much that fits that kind of improvised pacing.
Still early, but trying to shape it around those habits – to make something simple and steady, that supports how people already do things.
https://lang.money
It's grown over a dozen or so years and when I finally decide to compile into a book, everyone now uses AI and no longer read and learn from books but instead through LLMs.
> when I finally decide to compile into a book, everyone now uses AI
This is part of what discourages me from starting now, sadly. That, and having more concepts for actual Python projects than I know what to do with.
Not me, I read the shit out of documentation and also books like yours which distill knowledge from professionals down to a bunch of useful points. I have never not learned something (even if I knew and forgot it) from reading a good book about "Working with X".
Thanks for your hard work, and for giving it away to others gratis.
Edit: the string formatting cookbook has a ton of useful info that I always forget how to use, I'm going to bookmark your site by this page: https://mkaz.blog/working-with-python/string-formatting
I recently by request[0] added a cohesive timeline view for hn's /bestcomments. The comments are grouped by story and presented in the order that they were added to the /bestcomments page. It's a great way to see popular comments on active topics. I'm going to add other frills like sorting and filtering, but this seems to be as good a time as any to get some of your thoughts!
You can check it out here: https://hcker.news/?view=bestcomments
[0] https://news.ycombinator.com/item?id=44076987 (thx adrianwaj)
As a data engineer, I regularly have to dig through massive files to debug issues or validate assumptions — things like missing column values, abnormally large timestamps, inconsistent types, or duplicate records. It’s tedious and time-consuming, and that’s what led me to build this.
ZenQuery makes it quick and easy to explore data locally, without needing to spin up notebooks, write scripts, or upload anything to the cloud. It’s also useful for doing lightweight analytical QA if you're working with business data.
Happy to answer any questions.
But, can you please add gdrive connection support to it? Our company mainly uses gdrive for all collaboration and would help to have a direct integration with it. As of now I first have to download the files (they are small files, but still).
Great product otherwise. Best wishes..
Will update.. thanks again..
I want to publish it on Google play, but I need testers. If anyone cares about budgeting, I'd love to get some feedback.
Here's the app link: https://play.google.com/apps/testing/dev.selfreliant.wasa_bu...
I don't think you can download it without being added to my testers list though. Send me your Gmail address if you're interested!
> Send me your Gmail address if you're interested!
Where? nleschov at gmail
Word of warning, Google is pretty dumb and even requires testers to pay for the app. It's going for 3$, but I can reimburse everyone who helps me test once the testing phase is finished
a Slack and Discord app to help take turns (i.e. queue) with your teammates, overwhelmingly used for sharing tech resources like staging servers. It's crazy something that started so tiny (almost as a joke for my old workplace) has grown into my main "thing".
https://tfstate.com
an infrastructure configuration monitoring solution for terraform/opentofu managed stacks. I am unsure how to proceed with this tbh. It's sort of the underdog in this space - it's much cheaper than the competitors. But really, it's yet to make a dent.
(I am maybe prowling around for something new to build)
I wrote the articles/exercises/projects a few years ago, but now I've made interactive coding and quiz widgets, using Pyodide, Lit, web workers, etc. All open source: https://github.com/pamelafox/proficient-python
Many alternatives (like Doodle) are full of ads, which makes their products unusable. My goal is to try and make the internet a little better place by offering a free version without ads.
Currently rethinking what a scheduling platform should look like in 2025, perhaps with AI integration to ease the planning process.
The premise is that when I read social spaces like Reddit or X, if the government has done anything contentious you get nothing more than strident left takes, or strident right takes on the topic. Neither of which is informative or helpful.
So I have set up a site which uses AI which is specifically guided to be neutral and non-partisan, to analyses the government actions from the source documents. It then gives a summary, expected effect, benefits and disadvantages, and ranks the action against 19 "things people care about" (e.g. defence, environment, civil liberties, religious protection, etc.)
The end result is quite compelling. For example here's the page that summarises all the actions which are extremely beneficial or disadvantageous to individual liberties: https://sivic.life/tyca/tyca_individual_liberties/
It's an environment for open-ended learning with LLMs. Something like a personalized, generative Wikipedia. Has generated courses, documents, exams and flashcards.
Each document links to more documents, which are all stored in a graph you grow over time.
Do you have any socials? Would love to keep up with updates about this project
No socials so far as I've mostly been posting updates on the Anthropic discord. But I made an X account for it just now (@periplus_app) where I'll mirror the updates.
You can also reach me any time by email for bug reports, feature reqs etc.
If you're curious, you can see it here (needs WebGL2 + Wasm):
https://jazzprogramming.github.io/vorfract/
Even though I made it as a toy/proof of concept, it's turned out to be pretty useful for small to medium size projects. As I've used it, I've found all kinds of interesting benefits and helpful usage patterns. I've tried to document some; I hope to do more soon.
--https://rethinkingsoftware.substack.com/p/the-joy-of-literat...
--https://rethinkingsoftware.substack.com/p/organic-markdown-i...
--https://rethinkingsoftware.substack.com/p/dry-on-steroids-wi...
--https://rethinkingsoftware.substack.com/p/literate-testing
--https://www.youtube.com/@adam-ard/videos
The project is at a very early stage, but is finally stable enough that I thought it'd be fun to throw out here and see what people think. It's definitely my own unique spin on literate programming and it's been a lot of fun. See what you think!
Also, every region has different ways of representing a “neighbourhood”, so I get to learn how to extract viable data from each city. Lots of map stuff, I’m genuinely enjoying it!
- It felt like what I wanted to achieve is pretty simple (GPS coordinates -> display all on the same map), so didn't want to subscribe for a monthly fee. I couldn't actually find an app that would dump all my HealthKit data directly onto the map, which was surprising.
- Last year when I wrote my app, I wanted to see how fast I can learn simple mobile development loop
- Now, I couldn't really find anything that divides the coverage areas into real-world neighbourhoods. So, think of West Village of NYC, or Yorkville in Toronto, or Yoyogi in Shibuya and etc. Back when I used to live in Vancouver, I would look at my own app, and kinda say in my head "aight, I've walked through every street in West End, Vancouver". Figured it would be cool to have a proper way of tracking it. So working on it currently.
- It's kinda fun to work on an app for my own needs
I'll take a look at the squadrats though! Looks pretty cool.
- https://uceed957a657be57d7d53af97504.previews.dropboxusercon...
It felt good when I was able to figure out how to generate all the neighbourhood data for any given city. A bunch of fun OSM data manipulation though.
If you meant the app that I wrote last year, it's here - https://apps.apple.com/us/app/mapcut/id6478268682. The idea is much simpler though, as I mentioned.
FOSS toolkit for SRS and adaptive tutoring systems. Inching closer to proper demos and inviting usage.
In essence, I'm looking to decouple ed-tech content authoring (eg, a flash card, an exercise, a text) from content navigation (eg, personalizing paths and priorities given individual goals and demonstrated competencies), allowing for something like a multi-sided marketplace or general A/B engine over content that can greatly diminish the need to "build your own deck" for SRS to be effective.
Project became my main focus recently after ~8 years of tiny dabbling, and I've largely succeeded at pulling spaghetti monolith into a sensible assembly of packages and abstractions. EG, the web UI can now pull from either a 'live' couchdb datalayer or from statically served JSON (with converters between), and I'm 75% through an MVP tui interface to the same system as well.
I'm trying to make i18n easier, integrate it better with CI/CD and automate it more with LLMs (for now in Go, second priority is TypeScript and other languages later).
For this I had to develop a completely new approach and subsequently a specification for the "textual internationalization key" (TIK) which are programmatically translatable to ICU MF.
Toki is the first TIK processor implementation for Go.
I'm trying to see if I can "get away with it": no schema migration, no fixed views, one tenant per DB, local-first-friendliness.
The general approach is "Datomic meets XTDB meets redplanetlabs/Rama meets Local First". Conceptually, the lynchpin "WORLD FACTs" table looks like this:
2. "Writing for Nerds"A workshop I've been experimenting with, using willing friends as guinea pigs. To help people remove friction from being able to "spool brain to disk". The sales-y part is here, with more context / explanation about what it is about and what it is not about: https://www.evalapply.org/index.html#writing-for-nerds
- format BigQuery SQL queries better (in my opinion). Support configurations for: maximum line length, standardize casing for SQL keywords and builtin functions (upper or lowercase). BigQuery UI does support formatting but the output doesn't look as "eye-catching" as I want.
- auto converting between standard SQL syntax and pipe syntax in BigQuery. Most queries work but some are not supported (for now - only case I see not supported as query that involves star expression in a group by since it requires the knowledge the underlying column of the table to work - though I haven't seen anyone writing this kind of group by query yet during my work)
- bring all the nested CTE to the outer of the query. this will be helpful such as BigQuery doesn't allow nested CTEs inside a recursive query. (recursive CTE will be handy if you have a CTE that is referenced multiple times - in such case, you can use recursive CTE to materialize that CTE so it is calculated once)
All this is done with the help of ZetaSQL library. I've done the code but have not yet have time to create a simple UI for it yet :)
But the environment made it hard to move fast. The systems were outdated, and there wasn’t much support for building AI tools in-house. That experience made me realize I needed to grow beyond the modeling layer. There were things I wanted to build, but I didn’t yet have the full skill set to do it on my own.
So I’ve been learning full stack development. I had built a small chatbot app before, but this time I’m applying what I’m learning toward a focused MVP for the inspection work. It’s been a practical way to connect what I know with what I want to make real.
Right now it's basically a diagramming app specifically for the domain of problem-solving. I think an issue with it is that it's too hard for new users, so I've spent the last few weeks UX designing a view (figma prototype[3]) that I think is more intuitive to use (though sacrifices some features).
I'm currently working on code design for this view and am hoping to implement in the next few weeks!
[1] https://ameliorate.app/
[2] https://github.com/amelioro/ameliorate
[3] https://www.figma.com/proto/psTRolY8LTVOef3fkCJ0B4/Simplifie...
Wanted workflow orchestration without infrastructure to store workflow JSON/YAML in database/S3/CDN/whatever and execute it on Cloudflare Workers, in the browser, etc.
The magical part about the serverless workflow spec: native JSONSchema support for inputs/outputs at both workflow and task level. This creates composable, Lego-like tools for AI agents - each tool is just a workflow reference that can be fetched on the fly.
Working on final cleanup before publishing.
Gonna focus on marketing and improving the app.
[0] http://langdiary.com/
It's built using Nuxt because I've never really played with Vue before and it seemingly comes with all I need for a static, markdown-powered blog. I guess what's been stopping me was me bothering too much about "When is it good enough to be online?" and "What should the first post be?". But I'm trying to get rid of the perfectionism by just putting it out there and just posting something. I think I'll reflect on this in the first post.
Conjtest is a policy-as-code CLI tool which allows you to run tests against common configuration file formats using Clojure. You can write policies using Clojure functions or declarative schemas against many common configuration file formats such as YAML, JSON, HCL, and many others (full list in repo).
Under the hood, it uses Babashka and SCI (Small Clojure Interpreter) to run the policies and Conftest/Go parsers for compatibility with Conftest (https://www.conftest.dev/). It’s also possible to bring your own parser or reporting engine using Babashka scripting.
The initial big pieces are in place now, I’m preparing my end of the year to talk about Conjtest and get some feedback/issues to work on.
Started as a very simple app for me to play around with OpenAI’s API last year then morphed into a portfolio project during my job search earlier this year. Now happily employed but still hacking on it.
Right now, a user can create a quiz, take a quiz, save it and share the quiz with other people using a URL.
Demo: You can try out the full working application at https://quizknit.com
Github Links: Frontend: https://github.com/jibolash/quizknit-react , Backend: https://github.com/jibolash/quizknit-api
Here's the summary: - read all your sources - public websites, docs, video - answer questions with confidence score and no hallucinations with citations - cut support time and even integrates directly into your customer facing chatbots like Intercom
Still deliberating on the business model. If anyone would be interested in taking a look, I would love to show you.
- Create your own PDF editor with custom UI with the help of public methods which are exposed in the web component.
- You can add dynamic variables/data to the templates. What this means is you create one template, for example, a certificate template with name and date as variables and all you have to do is upload your CSV / JSON of names and dates, and it will generate the dynamic PDFs for you.
- It's framework-agnostic. You can use this library in any front-end framework.
It's still in early development, and I would love to connect with people who have some use cases around it.
I have integrated this library in one of our projects, Formester. You can see the details here https://formester.com/features/pdf-editor/
I have posted this demo video for reference https://www.youtube.com/watch?v=jorWjTOMjfs
Note: Right now it has very limited capabilities like only adding text and image elements. Will be adding more features going forward.
We initially built it for Shopify, but now it’s fully embeddable, supports headless implementations, and integrates with tools like Klaviyo, Zapier, n8n, and Snowflake. One thing we’re especially proud of is how fast and unobtrusive it is: polls load async, don’t block rendering, and are optimized for mobile and low-latency responses.
From a tech angle:
Frontend is all React, optionally SSR-safe.
Backend is Node.js + Postgres, with a heavy focus on queueing + caching for real-time response pipelines.
API-first design (public API just launched: apidocs.zigpoll.com).
We recently open-sourced our n8n integration too.
If you're a dev working on ecom, SaaS, or even internal tooling and need a non-annoying way to collect structured feedback, happy to chat or get you set up. Feedback welcome — especially critical stuff. Always looking to improve.
Currently I'm stuck implementing a storage combinator with EiffelWebFramework[4]
[0] https://dl.acm.org/doi/abs/10.1145/3359591.3359729
[1] https://scholar.google.com/citations?view_op=view_citation&h...
[2] https://en.wikipedia.org/wiki/Eiffel_(programming_language)
[3] https://github.com/EiffelWebFramework/EWF
More specifically, I have worked on the demo https://github.com/AitoDotAI/aito-demo to make use cases visual and well described. E.g. smart search use case is here https://github.com/AitoDotAI/aito-demo/blob/main/docs/use-ca...
Claude Code is doing absolute wonders on setting things up. One has to just check out for hallucinations and made-up stuff in any written content.
[1] - https://rikverse2020.rikweb.org.uk/
[2] - https://rikverse2020.rikweb.org.uk/poem/economic-migration/
Made me smile - great line.
At any given time, she’s working with any number of clients (directly or subcontracted, solo or as part of a team) who each have multiple, simultaneous marketing campaigns across any number of channels (google/meta/yelp/etc), each of which is running with different parameters. She spends a good amount of time simply aggregating data in spreadsheets for herself and for her clients.
Surprisingly we haven’t been able to find an existing service that fits her needs, so here I am.
It’s been fun for me to branch out a bit with my technology selections, focusing more on learning new things I want to learn over what would otherwise be the most practical (within reason) or familiar.
https://www.inclusivecolors.com/
The idea is it helps you create palettes that have predictable color contrast built-in, so when you're picking color pairs for your UI/web design later, it's easy to know which pairs have accessible color contrast.
For example, you can design your palette so that green-600, red-600, blue-600, all contrast against grey-50, and the same for any other 600 grade vs 50 grade color, like green-600 vs green-50.
That way you won't run into failing color contrast surprises later when you need e.g. an orange warning alert box (with different variations of orange for the background, border, heading text and body text), a red danger alert box, a green success alert box etc. against different color backgrounds.
Repo: https://github.com/rejot-dev/semcheck/
The thing is, we’ve been retrofitting software made for humans for machines, which creates unnecessary complications. It’s not about model capability, which is already there for most processes I have tested, it’s because systems designed for people are confusing to AI, do not fit their mental model, and making the proposition of relying on agents operating them a pipe dream from a reliability or success-rate perspective.
This led me to a realization: as agentic AI improves, companies need to be fully AI-native or lose to their more innovative competitors. Their edge will be granting AI agents access to their systems, or rather, leveraging systems that make life easy for their agents. So, focusing on greenfield SaaS projects/companies, I've been spending the last few weeks crafting building blocks for small to medium-sized businesses who want to be AI-native from the get-go. What began as an API-friendly ERP evolved into something much bigger, for example, cursor-like capabilities over multiple types of data (think semantic search on your codebase, but for any business data), or custom deep-search into the documentation of a product to answer a user question.
Now, an early version is powering my products, slashing implementation time by over 90%. I can launch a new product in hours supported by several internal agents, and my next focus is to possibly ship the first user-facing batch of agents this month to support these SaaS operations. A bit early to share something more concrete, but I hope by the next HN thread I will!
Happy to jam about these topics and the future of the agentic-driven economy, so feel free to hit me up!
This is written entirely in 6502 assembly, and uses a fun new mapper that helps a little bit with the music, so I can have extra channels you can actually hear on an unmodded system. It's been really fun to push the hardware in unusual ways.
Currently the first Zone of the game is rather polished, and I'm doing a big giant pixel art drawing push to produce new enemies, items, and level artwork to fill out the remainder of the game. It's coming along slowly, but steadily. I'm trying to have it in "trailer ready" / "demo" state by the end of this calendar year. Just this weekend I added new chest types and the classic Mimic enemy to spice things up.
https://github.com/BrokeStudio/rainbow-net/blob/master/NES/m...
In terms of capabilities, graphically it's something like MMC5 (8x8 attributes and a bunch of tile memory) while sound wise it's almost exactly VRC6. The real nifty feature though is ipcm: it can make the audio available for reading at $4011
It turns out the APU inside the NES listens to writes to $4011 to set the DPCM level, which many games use to play samples. By having the cartridge drive it for reading, I can very efficiently stream one sample of audio with the following code:
So I just make sure to run that regularly and hey presto, working expansion audio on the model that doesn't normally support it. It aliases a little bit, but if I'm clever about how I compose the music I can easily work around that.Also working on an email communication assistant https://merel.ai creates draft responses for gmail and outlook based on your company data, email history, website content and extensive organisation settings. Still work in progress as well.
My secret agenda is to explore how the "information supply chain" can be tracked across the data-processing stack all the way from the original audio through transcription, the processing pipeline, and UI. I'm using language models for multi-stage summarization and want to be able to follow the provenance of summaries all the way back to the transcripts and original audio.
[1] https://yuri.is/n/podcast-vibes-prototyping/
[2] https://yuri.is/n/podcast-vibes-presentation/
Yes, you could try making one using Observable Plot (which is what I used for these): https://observablehq.com/plot/transforms/dodge
One of the slides in my presentation has the full prompt I used, in case that's useful. I ran it on chunks of the podcast transcript and then merged/deduplicated the results to get the data that's visualized here.
This is starting to overlap with building a tool server for personal AI agents.
AppStore: https://apps.shopify.com/bundlejoy
1. Open-Source AI Curriculum Generator(OSS MathAcademy alternative for other subjects) Think MathAcademy meets GitHub: an AI system that generates complete computer science curricula with prerequisites, interactive lessons, quizzes, and progression paths. The twist: everything is human-reviewed and open-sourced for community auditing. Starting with an undergrad CS foundation, then branching into specializations (web dev, mobile, backend, AI, systems programming).
The goal is serving self-learners who want structured, rigorous CS education outside traditional institutions. AI handles the heavy lifting of curriculum design and personalization, while human experts ensure quality and accuracy.
2. Computational Astrology as an AI Agent Testbed For learning production-grade AI agents, I’m building a system that handles Indian astrology calculations. Despite the domain’s questionable validity, it’s surprisingly well-suited for AI: complex rule systems, computational algorithms from classical texts, and intricate overlapping interpretations - perfect for testing RAG + MCP tool architectures.
It’s purely a technical exercise to understand agent orchestration, knowledge retrieval, and multi-step reasoning in a domain with well-defined (if arcane) computational rules.
- Has anyone tackled AI generated curricula? What are the gotchas? - Interest in either as open-source projects?
https://apps.apple.com/us/app/open-insure-self-insurance/id6...
https://flowery.app/books
The library of public domain classics is courtesy of Standard Ebooks. I publish a book every Saturday, and refine the EPUB parser and styler whenever they choke on a book. I’m currently putting the finishing touches to endnote rendering (pop-up or margin notes depending on screen width) so that next Saturday’s publication of “The Federalist Papers” does justice to the punctilious Publius.
Obligatory landing page for the paid product:
https://flowery.app/vocabulary-building
I discovered that VSCode has a very nice solution so I pulled the core VSCode libraries and injected them into a Chrome extension using the dependency injection, ipc / rpc, eventing to bridge the gap between all of these isolated JS contexts and expose a single, strongly‐typed messaging API, my IPC/RPC shim sits on top of each of the native environments and communication mechanisms.
Yesterday, Microsoft released the source code for the Copilot chat. Apparently, since the basis of my Chrome extension is the same core libraries I can drop the VSCode chat UI into the side panel without much friction. Although, I might continue to use Microsoft's FluentUI chat currently implemented in the extension.
Because Copilot chat has a lot of code that runs in node in Electron, now I'm working in porting all the agent capabilities for browser automation from the Copilot chat including the code for intent, prompt creation, tools, disambiguation, chunking, embedding, ect. I'm 4 to 6 weeks away from having feature parity of Playwright for automation from a Chrome extension side panel that can do most of the inference using huggingface transformer.js locally. Nonetheless, heuristics exposed as tools such that if the intent is playing a video, all that is required is a tool that collects all the video tags and related elements with metadata. No need to use $10 in tokens to figure out which video element to play.
Yeah, I think I'm 4 to 6 weeks away from having a Copilot chat in a browser doing agent automation.
If you want to see where I'm at today, https://github.com/adam-s/doomberg-terminal.
When I did Grub the crawler back in the day, that's what I was shooting for!
If you want a jumpstart on the Playwright stuff: https://github.com/kordless/gnosis-wraith. Runs on Google Cloud Run. The UI is still in progress but you can test it here: https://wraith.nuts.services. Uses tokens to email for login.
The extension stuff is the way to go, IMHO! You can capture any page, even automatically.
https://github.com/vidalmaxime/make-grug-brained
I welcome feedback, just keep in mind that this is a work in progress, and I haven't even reviewed it for clarity and typos.
But no hornworms or caterpillars this year. Very strange!
Custom high performance C++ / OpenGL/WebGL engine. Uses Jolt physics and Luau and Winter scripting.
It's a lot of fun and pretty challenging code.
We built this together at a previous organisation and moved all the internal and external services at that organisation to this system (It allowed the org to satisfy the ISO27001 requirements).
After being in operation for a couple of years, we have collected a lot of insights and feedback on what to change/improve for the open source version.
This summer I’m setting aside some time to work on making those changes for an open source version of what we call “Vanir”.
(Seems like good timing with the initiatives in EU to take back some ownership of the cloud stack).
No LLM or AI magic. Just simple state machines, extendable configuration, and a lovely GUI (web-based, no JavaScript).
The tech stack is python3, postgresql, ansible, and django.
Peekly pulls from high-quality sources using LLM + retrieval, then sends you a regular digest with just the most relevant content according to your interests. You can even give it custom prompts to control what it finds and how it summarizes — super useful if you want a particular angle on a topic.
YC folks can use code YC256 for an extra free month (on top of the 14-day trial). Would love to hear what you think!
[0] https://peekly.ai/
That animated demo (in the 'see it in action' section) looks really impressive. And what are you using to draw the diagrams?
MCP-as-a-Service sits between N8N and the Google Chrome browser, providing a Playwright MCP instance "in the cloud".
Surprisingly the blocker has been identifying notes from the microphone input. I assumed that'd have been a long-solved problem; just do an FFT and find the peaks of the spectrogram? But apparently that doesn't work well when there's harmonics and reverb and such, and you have to use AI models (google and spotify have some) to do it. And so far it still seems to fail if there are more than three notes played simultaneously.
Now I'm baffled how song identification can work, if even identifying notes is so unreliable! Maybe I'm doing something wrong.
It's based on the assumption that the most common frequency difference in all pairs of spectrum peaks is the base frequency of the sound.
-For the FFT use the Gaussian window because then your peaks look like Gaussians - the logarithm of a Gaussian is a parabola, so you only need three samples around the peak to calculate the exact frequency.
-Gather all the peaks along with their amplitudes. Pair all combinations.
-Create a histogram of frequency differences in those pairs, weighted by the product of the amplitudes of the peaks.
When you recognise a frequency you can attenuate it via comb filter and run the algorithm again to find another one.
I was thinking this would be a good project to learn AI stuff, but it seems like most of the work is better off being fully deterministic. Which, is maybe the best AI lesson there is. (Though I do still think there's opportunity to use AI in the translation of teacher's notes (e.g. "pay attention to the rest in measure 19") to a deterministic ruleset to monitor when practicing).
The idea is a fully weighted hammer action keyboard with nothing else, such as the Arturia KeyLab 88 MkII, and add to that tiny LED lights above each key. And have a tablet computer which has a tutor, and it shows the notes but also a guitar hero like display of the coming notes, where the LED lights shine for where to press, and correction for timing and heaviness of press, etc.
My hope is to make it easier to use a computer blind than with my usual workflow with a monitor.
It has gone through several iterations over the last year. It was initially focused on file compression & editing but I have added video & image enhancement, background removal, smart video trim, video subtitles generation, dubbing, watermark removal, cropping, resizing, etc.
I'm continuing to fine-tune the performance and while enhancing my UI skills to polish the studios. I built a desktop version but currently released it for Linux (it's in beta), I plan to hopefully make the desktop version free.
I'm currently working with a few clients and using their feedback as guidance. Let me know your feedback if you use it.
I'm currently close to the public release. After that, I want to learn some ML techniques to predict Pieter Levels' Hoodmaps classifications from my publically sourced data. It would be cool to have accurate automatic predictions of the places-to-be for every city.
https://cassette.world/
https://www.youtube.com/watch?v=mwpg34oLvwU
Also it’s been a fun excuse to try out Cursor and other AI tools I don’t normally use in my day job.
I have 1 user - my 8 yr old son.
Feel free to download here:
https://apps.apple.com/app/learnmathstoday/id6740993744
https://play.google.com/store/apps/details?id=com.learnmaths...
https://learnmathstoday.com/
GitHub: https://github.com/safedep/vet
https://catskull.net/podcast https://podcasts.apple.com/us/podcast/interrobang-with-dave-...
I built the whole tech stack with Jekyll and Cloudflare and wrote about it on my blog: https://catskull.net/podcast-workflow.html
Finally, I built a simple chat app as a web component with a Cloudflare durable object and have a few AI bots spamming the chat that may or may not ignore you: https://catskull.net/the-most-dangerous-app.html
So, I embarked a couple of weeks ago on my journey to build a relational database, which checks the boxes for me personally and I hope that this will be useful for other developers as well.
Project priorities (very early stage): - run code where the data is - inside of the database with user defined functions (most likely directly rust and wasm) - frontend to directly query the database without the risk of injection attacks (no rest, graphql, orms, models and all the boilerplate in between) - can be embedded into the application or runs as a standalone server - I hope this to be the killer feature to enable full integrations tests in milliseconds - imperative query language, which puts the developer back in control. Instead of thinking in terms of relational algebra, its centered around the idea of transforming a dataframe
Or in other words, I want to enable single developers or small teams to move fast, by giving them an opensource embeddable relational firebase.
https://reifydb.com/
If you have any thoughts on that, I would love to talk to you.
Meshtastic is fun!
Besides, I have initiated two series on my blog: T4P and GenAI on my blog and writing about Algo trading and GenAI stuff(https://blog.adnansiddiqi.me/)
PS: If anyone has any interesting ideas, then do ping me
https://github.com/zabirauf/mcp-trace
[0] https://store.steampowered.com/app/3627290/Botnet_of_Ares/
It creates all the necessary boilerplate to generate PHP Docker containers, creates all of the MySQL users, and sets up all of the directory structures to get a new website up and running. It even helps set up SFTP users and gets letsencrypt certificates set up with certbot.
It's still very early days, but I appreciate that what used to be a bunch of commands that I would run by hand and slightly change every few months is now pretty much just all self contained. Should mean the next migration to a different server is easier.
Created in frustration because I was too cheap to pay the $50/month for a cPanel license.
https://github.com/timgws/domain-manager
Next up is a small lamp for migraines. I noticed that dim red light is much more tolerable to me than anything else. I mean obviously, darkness is ideal, but you need to do other stuff like eat and drink eventually if it's a persistent one.
So I designed a quick circuit to use fast PWM (few Mhz, so no flicker) to control a big red LED. I'd like it to be sturdy and still functional in 50-100 years, so made some design choices for long-term durability. No capacitors, replaceable LED and so on.
A simple project, but it's a busy month and I need something easy this time.
1. Are you targeting startups or enterprises?
2. Do you foresee savings in the range of millions with this approach?
3. What if the ci/cd pipeline takes > x mins? should the laptop be turned on stayed connected to network during this time?
4. In an enterprise, a typical ci/cd pipeline get connected to other dependent services - eg. security pipeline (even 3P) etc. Now, every developer needs to onboard to those services?
https://github.com/DmitryOlshansky/hedgehog
For example, you can scroll through 60 pictures from my window https://stacks.camera/u/ben/89n1HJNT
Most of the challenges are around handling images & rendering, but I've also been playing with Passkey-only authentication which I'm finding really interesting.
I did a screenshare demo of it yesterday: https://www.youtube.com/watch?v=GQzDfrdf71Y
I wrote an MCP server in C#/.NET that let's LLMs safely generate an run JavaScript using the Jint interpreter.
It includes a `fetch` analogue using `System.Net.HttpClient`, as well as `jsonpath-plus`, and a built-in secrets manager.
The prime use case is working with HTTP REST APIs with an LLM. With this, you can let users safely generate and execute JavaScript in a sandbox.
- Each plugins run in its own WASM vm.
- Explicit network/fs access. No network or file access by default
- Can limit cpu/resources
The reo: https://github.com/tuananh/hyper-mcp
You upload interviews with family members (text, audio or video all work) and the system automatically transcribes the text, finds key people or events, and puts it together with other information you may have gathered about those events or people before. Like building a genealogical tree but with the actual details about people's lives.
In the works to also attach pictures of said people and events to give it some life.
I store the chunks in a custom-built database (on top of riak_core and Bitcask), and I have it automatically also make an HLS stream as well. This involved remuxing the AAC chunks into MPEG-TS and dynamically create the playlist.
It's also horizontally scalable, almost completely linearly. Everything is done with Erlang's internal messaging and riak_core, and I've done a few (I think) clever things to make sure everything stays fast no matter how many nodes you have and no matter how many concurrent streams are running.
It's free (https://github.com/welpo/ab-test-calculator), and it has no dependencies (vanilla JS + HTML + CSS).
Right now it only supports binary outcomes. Even with the current limitations, I feel it's way above many/most online calculators/planners.
I am working on the world's first end-to-end Database Migration tool, supporting Oracle to PostgreSQL and MSSQL to PostgreSQL database migrations with AI for Schema Migrations. Until now, people used different tools for Schema Migration and Data Migration/Replication. During this process, we ended up building a data migration and replication tool supporting any databases between Oracle, SQL Server (MSSQL) and PostgreSQL databases.
https://ws.wordsdescrambler.com/wordsearch
I'm also working on learning about building software with LLMs, specifically I am building a small personal project that will allow me to experiment with them using measurable hypotheses and theories, rather than just tweaking a prompt a bunch and guessing when it is working the best. I know others have done this, but I am building it from the ground up because I'm using it as a learning experience.
I plan to take my experimentation platform and build a small "personal agent" software package to run on my own computer, again building from scratch for my own learning process, that will do small things for me like researching something and writing a report. I don't expect anything too useful to come out of it, since I am using 1.7B/4B models on a MacBook Air M2 (later I might use my 3080 but that won't be much improvement), but it will be interesting to build the architectural stuff even if the agents are effectively just useless cycle-wasters.
How We Met – https://how-we-met.c47.studio/
Each day, I create a new 30-second episode based on the plot direction voted on by the audience the day before.
I'm trying to see how far the latest Video GenAI can go with narrative content, especially episodics. I'm also curious what community-driven narratives look like!
For the past week, I've been tinkering mostly with Runway, Midjourney, and Suno for the video content. My co-creator vibe coded the platform on Lovable.
Have created a real-time media mixing mobile app that helps to setup TV grade Live channel on Youtube/Facebook/Twitch/Instagram.
Our product scales from individual to institutions, camera in mobiles to network of cameras, indoor to outdoor sports and events.
Details: https://www.cheerarena.com/
Realtime mixing studio - https://play.google.com/store/apps/details?id=com.cheerarena...
Building tools to improve the developer experience especially in regarding to Git and CI/CD. Currently, working on an improved CodeOwners for GitHub. CLI is already completed and open source: https://github.com/CodeInputCorp/cli
https://bubble-pop.oinam.com/
https://substack.com/@antonmks
I love SSGs as they’re simple and fast and the sites they make can be hosted anywhere with little maintenance. But, after helping a non-technical friend get up and running with one, the UX is rubbish.
So I’m building a combined CMS and SSG called Sparktype, designed for writing and publishing. Users can create pages or collections, write and export the generated site. At the moment it exports to zip, but I’m working on connecting to Netlify or GitHub for automatic deployment.
My goal is to build something that allows people to create a publication with the ease and polish of say, Medium or Substack, but which is completely portable and will work on almost any hosting.
It’s very early MVP - the editor works, but the default site theme is rough around the edges and there are a bunch of bugs. I’m currently working on getting it good enough so that I can create its own marketing and documentation site with it.
I’d love any thoughts or feedback you might have.
https://app.sparktype.org
I didnt realize how much overhead an sfml window draw call has, granted I have yet to target optimizing that yet.
Seems like my first candidate for multithreading; also I think the scheme I implemented for how to manage texture/sprite switching is advised against and may need to slightly refactor how I store and swap based on object state.
Yeet
like, it would be very cool to do something like have your feature branch be deployed to a separate pod in dev cluster, and have an ingress rule set up so that it points to that pod only.
So if your dev environment usually points to <some-app>.dev.example.com,
Deploy your feature branch to a dev cluster, but on a different pod. Then have it reachable to <some-app>.feature-branch-1.dev.example.com without touching main.
I think it's a neat idea and I'm sure it should be possible if I configure some istio settings.
It's all new thing and it's fun to have a direction towards learning
Tail calls between different VM functions are the next challenge. I'm going to somehow have it allocate the VM instance in the same space (if the frame size of the target is larger than the source, "alloca" the difference). The arguments have to be smuggled somehow while we are reinitializing the frame in-place.
I might have a prefix instruction called tail which immediately precedes a call, apply, gcall or gapply. The vm dispatch loop will terminate when it encounters tail similarly to the end instructions. The caller will notice that a tail instruction had been executed, and then precipitate into the tail call logic which will interpret the prefixed instruction in a special way. The calling instruction has to pull out the argument values from whatever registers it refers to. They have to survive the in-place execution somehow.
When I was in college I really hated searching through all the excel and google docs menus to add trendline, change colors, gridlines, etc (and sadly I didn't have the agency to learn matplotlib or seaborn). I figure others might hate this too, and it would be so cool to have csv + prompt -> exportable svg chart
https://github.com/dahlend/kete
Research grade orbit calculations for asteroids and comets (rust/python).
I began working on this when I worked at caltech on the Near Earth Object Surveyor telescope project. It was originally designed to predict the location of asteroids in images. I have moved to germany for a PhD. I am actively extending this code for my phd research (comet dust dynamics).
Its made to compute the entire asteroid catalog at once on a laptop. There is always a tradeoff between accuracy and speed, this is tuned to be <10km over a decade for basically the entire catalog, but giving up that small amount of accuracy gained a lot of speed.
Example, here is the close approach of Apophis in 2029:
https://dahlend.github.io/kete/auto_examples/plot_close_appr...
Demo uses postgres compiled for WASM so demo runs on an actual postgres db.
https://skamensky.github.io/postgres-formula-compiler/
I got tired of using the AWS console for simple tasks, like looking up resource details, so I built a fast, privacy-focused, no-signup-required, read-only, multi-region, auto-paginating alternative using the client-side AWS JavaScript SDKs where every page has a consistent UI/UX and resources are displayed as a searchable, filterable table with one-click CSV exports. You can try a demo here[1]
[1] https://app.wut.dev/?service=acm&type=certificates&demo=true
- the subheading is describing the “how” not the “what”. Meaning, what would you use this product for?
- in general, all the headlines could be preposition from the “what” a user would do scenario. Eg instead of saying “Resource Relationship Diagrams” … say “See Resource Relationship with Ease”
- if I’m understanding the tool correctly, this seems like a “lookup” tool. In which case lookup.dev is for sale … just fyi.
So I made a proof of concept app on iOS that uses gmail API to send out newsletter emails. I wish I could just send prepopulated emails (with inline attachments and recipients) to iOS mail client instead of asking for gmail OAuth permissions, but it doesn't look possible.
Now I'm trying to create a polished app for alpha testing. Been exploring data persistence (Swift Data, Core Data, rxdb etc) and settled on Core Data. Architecture wise, I've settled on MVVM + Swift UI. At the moment I'm trying to figure out how to make mocks and XCode preview data geneeration ergonomic.
So far, I am pleasantly surprised at Swift and iOS development, but I still hate XCode.
Just made the first devlog video: https://youtu.be/CFgDlAthcuA
You're right, Kingly is the newest out of the bunch and the least satisfying to solve because of that. It's getting a big rewrite under the hood this week, so should be much more fun to play to make it more deducable and less random
It's a simple (currently macOS) application which aims to target shoulder surfing by using a locally running neural network to detect those looking at your screen.
[1] https://www.eyesoff.app
I’d estimate 30-40% of their S3 bill could be eliminated just by properly compacting and sorting the data. I took it as an opportunity to learn DuckDB, and decided to build a tool that does this. I’ll release it tomorrow or Tuesday as FOSS.
In Fostrom, devices connect via our SDKs or standard protocols such as MQTT and HTTP, and send and receive structured, typed data, through pre-defined Packet Schemas. Each device gets its own sequential mailbox for messages. You can trigger webhooks or broadcast messages to other devices based on incoming data, powered by programmable actions (written in JS).
We entered Technical Preview recently. Since then, we've been working on:
- Major upgrades to Actions: making it easier to write action code, along with testing before deploying, and more docs on how to write good actions. Coming this week.
- We're in the process of releasing Device SDKs in multiple languages, including JS, Python, and Elixir soon. The SDKs are powered by an underlying lightweight Device Agent written in Rust.
- A new data explorer to view and analyze your fleet's datapoints, which will be available in a few weeks.
Happy to answer questions and appreciate any feedback.
I don’t want to auto compose messages or anything. I just want the computer to filter out things I don’t care about and tell me the answer to things without hunting around my inbox.
This uses bad things (cmake-only, Debian policy agenda) things that work against their creators: cmake outputs enough information to create correct `pkg-config` for example.
This would make it realistic to zero-backdoor an Ubuntu-style system.
For 30 years Linus has been holding the line on a stable kernel ABI and only FAANGs and HFT shops have reaped the full benefits.
Here's the summary: - read all your sources - public websites, docs, video - answer questions with confidence score and no hallucinations with citations - cut support time and even integrates directly into your customer facing chatbots like Intercom.
Still deliberating on the business model. If anyone would be interested in taking a look, I would love to show you.
- webbhook triggered - when a document is updated some CMS/tool provide webhooks triggering capability, which you can use to reindex that page - time based triggers - you can set a time like a cron and the document will be scanned in that time and checked if something has changed it will be reindexed
Happy to answer more questions.
Examples wiki: https://github.com/scottvr/pbngen/wiki
The code: https://github.com/scottvr/pbngen
From a technical side, I've processed around 325k+ matches. Right now, only main ATP / WTA matches (no challengers, no doubles, no mixed) sadly. I'm working on expanding that, improving our infra layout, exposing a public facing API, collecting the data on my own, and most importantly live score ingestion (especially given the fact that Wimbledon is starting tomorrow).
Feedback on the app through Canny / joining the Discord / following the Twitter / or any and all of the above would be much appreciated.
I've added a few exclusive features to one of my extensions for subscribers in addition to settings syncing, and have auth and Stripe redirects and webhooks working, so now at the stage of working out the best heuristics to use for when to sync and connecting the extension to the settings API.
https://reminder.dev
After spending many years on the VC/startup track I found myself being pulled towards doing something more inline with my faith. As an engineer I felt like this is the best way I could contribute my skills.
The site itself is built with Astro, content is written in Markdown. It's still very much a work in progress: the design’s evolving, search isn’t done yet, and I’ve only scratched the surface with a handful of categories out of the dozens I have planned.
[1] https://altstack.jp/en/
https://github.com/banagale/FileKitty
My most recent release includes signed .dmg installer on top of brew, and a local build option.
Although it should compile to any platform, I want to take advantage of the new Foundation Model sdk Apple announced at WWDC.
I also recently released something called slackprep, a CLI tool and Python library that wraps slackdump, converting Slack export data into LLM-groomed Markdown transcripts.
That includes labeling inline images organizing them for upload as LLM context.
https://github.com/banagale/slackprep
I see these and other utilities coming together to assist in assembly of deep context for system level design.
[0] https://github.com/M4THYOU/TokenDagger
Saturated market riddled with alternatives, but I wasn't really able to find low friction way to collect these things that met all my needs. Most of this stuff gets lost in DMs or comment sections, which just wasnt working for me.
Also figured it would be a neat way to re-think paying for a creators attention. IE, giving the option to tip (and soon subscribe to a VIP inbox of sorts).
Locally running wispr flow equivalent without any tracking, signup, analytics or subscriptions.
Dictate into any text window on your Mac. Works really well with technical language specifically when using with claude code, cursor, windsurf.
Very fast since the underlying whisper.cpp lib is very well optimized for Metal and CoreML usage on Apple Silicon machines.
The code and a demo video can be found here: https://github.com/osintbuddy/osintbuddy (and on codeberg)
TestingBee is a way for startups to get part-time QA for their product's critical flows.
I've been working at startups for the last four years and I've consistently been on teams struggling to balance launching quickly versus keeping our product working. We've never had success creating a substantial test suite because our product is changing too fast and engineers are too overloaded.
I built testingbee as the solution. It lets you write your app's flows in plain english and the bot I created will execute those flows in your app as a user would. This triggers on every push to make sure every release keeps your product working :)
Play spot-the-difference with the old screenshot: https://github.com/Leftium/weather-sense#weathersense
- At least five major changes!
- Or look at the commit history ;)
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I'm designing a game that:
- is simple to play. (just log in and check-in with your geolocation. Optionally add a short message)
- helps people stay connected. (You can view friends/family on the globe with some mild competition/cooperation)
- Right now, I'm trying to figure out something compelling to "collect." Cities/states, weather conditions, letters, numbers, words, etc... I think it should be tangible.
It’s like Anki but for speaking and an LLM grades your response.
https://github.com/RickCarlino/KoalaCards
The goal is to be a full mobile IDE that lets you use Claude Code, Gemini CLI, and other agentic code editors.
Has mobile-native file browsing and git integration.
https://remote-code.com
I built it to help save time for folks building internal enterprise apps
I am particularly enjoying the Stern-Brocot tree exploration: https://calc.ratmath.com/stern-brocot.html#0_1 I hope people will find it to be a nice way of understanding good rational approximations and how they tie into continued fractions and mediants. A nice exercise is to type x^2 in the expression box and go down the path to always advance towards x^2 being 2. This gives the continued fraction representation of the square root of 2.
Been developing this AI agent framework for 1 year now. It's very similar to n8n, but exclusively for open-source LLMs. It also just recently got MCP support.
The project is https://kdeps.com
https://apps.apple.com/us/app/percento-net-worth-tracker/id1...
https://www.percento.app
I built it because I was blown away with what the latest image generation models can do and found that interior design is one area where it could already provide significant value for people. I’ve already used it in just about every room in my house to help me decide on:
- which paint color I should use
- how I should arrange my furniture
- what color theme I should be using to match the design I’ve gone with
- general inspiration on decor
It’s free to download to try with sample imagery. Unfortunately due to the cost of image generation, you won't be able to upload your own photos in the free version (yet). But I’m constantly improving the app and would really love some feedback.
https://apps.apple.com/us/app/roomai-restyle-your-home/id674...
The goal is to have a full featured editor with tree-sitter and LSP support which source code you can read through in one evening.
Love how it's going so far, I'm trying to keep it both minimal and easily extendable.
Node based visual editor for 2D LED patterns over BLE. Web/iOS/Android app to ESP32, works with most addressable LEDs. It’s like TouchDesigner x WLED x PixelBlaze, but Bluetooth so you don’t need annoying wifi setup. And hopefully you can make much more interesting patterns without touching any code.
Eventually the ESP32 devices will save all the patterns they’ve seen and share them with apps that connect to them. So there’s a pattern ecosystem, like Electric Sheep.
Still rough and in progress (and constantly deploying so it may break for you )
The ADHD-friendly AI personal assistant for notes, email, and calendar.
Where you can just chat to search notes, manage emails, and schedule tasks. It proactively plans your day every moring and checks in to help you stay on top of everything.
https://github.com/whyboris/Video-Hub-App & https://videohubapp.com/
If you have videos you want to browse, preview, search, tag, sort, etc on your computer, my software might be great for you :)
Simple license, no subscription, perpetual license with 2 years of updates.
https://tinyshield.proxyman.com/
Just prototyping at the moment, but the goal is to allow users to not only share files (even big ones) but also forms, like Google forms, but encrypted and one time only (read once).
The use case I have in mind is allowing businesses to create GDPR forms (with private info, consent, etc), share unique urls with specific customers, and once the data is received by the business delete it from the server.
This could be useful to businesses that don't have a customer-facing portal, but have to deal with PII and the customer needs to consent and verify the data and what it's used for.
The data is encrypted client side (web crypto) and the password either shared in the url (in the hash fragment, also encrypted by a key stored on the server) or by other means (eg. could be the recipient's dob or id number or some other previously shared or known value).
Still trying to figure out the details, use cases, business value but the core backend is done so is the client-side crypto stuff. I managed to get chunked AES-GCM working so that it doesn't load the whole file in memory in order to encrypt it, it does that in chunks of let's say 2MB. Chrome also has chunked requests (in addition to responses) for sending the file to the server, but would probably need to come up with some other mechanism to get that working on other browsers (like send the chunks in multiple requests and append to a single file on the server, but that adds more complexity so I'm still working it out).
Hope to point something from experience But.
It never is “one time”, amount of ways people mess up is huge. Even just when you make submit and 5x confirmation there will be once a week a new user that happens to acknowledge 5x they filled in all they needed and know it will not be possible to fill in again but… they really need to fix that one thing they messed up when filling in.
https://github.com/csjh/c-liva
https://github.com/WillAdams/gcodepreview
Currently finishing up a re-write which changes from using union commands (which resulted in an ever more deeply nested CSG tree) to collecting everything in a pair of lists using append/extend and then applying one each union operation, resulting a flatter structure.
Once all that is done I'm hoping to add support for METAFONT/POST curves....
https://github.com/WebAssembly/wasi-libc/pull/586
[1] https://dedede.de/en
A few weeks away from launching the MVP.
So we decided to build out our own filesystem adapter and recently deployed it. It's pretty exciting to have our own solution that does exactly what we need and appears significantly faster.
It makes us want to open source pgs.sh because it has fewer dependencies in order to deploy.
Can be used for everything from slightly skewed beat-making to generating undulating waves of sound!
Haven't released properly yet - not sure if it's stable but oh well.
I don't like using my personal email to sign up for things. But there are definitely things that I do want to sign up for - newsletters, try out some services.
I know there are temporary email services, but I actually want to use these services. Of course there is Apple email that forwards to your real email.
But, I also don't want to flood my inbox.
Anyway, I wanted to receive these transactional emails in my personal Slack.
So, that's what Fro is for (https://fro.app)
- Sign up - get an email address - link to your Slack channel
And you can now catch up on those newsletters via Slack.
https://lucaaurelia.com/
I also have some ideas of a programming language designed mainly to process files in DER format (as well as data from stdin and to stdout), but have not actually implemented anything so far.
I also have ideas about an operating system design and computer design, and should have help to write the specification properly, and then it can be implemented afterward.
The goal is to make the code better organized, easier to read, maintain and extend.
https://github.com/seinecle/nocodefunctions-web-app
It's something I've needed for a while working in engineering teams in B2B SaaS. Currently technical co-founder of AdQuick.com, an outdoor advertising marketplace backed by Initialized.
* a library for filesystem tree operations (and other trees, if you're clever enough swapping in components)
* a utility to identify and extract wheels from pip's cache (so that they can be dumped into other installers' caches, for example)
I also hope to return to bbbb soon, if only to make sure that it can build PAPER's wheels smoothly (and with a few other basic conveniences implemented).
Oh, and I wrote an article for LWN recently and have plans for a few more....
Among other things, my team has implemented access-based sharing using web links, like Google Docs for real paper handwriting. And we've just launched Quin, our AI assistant for real paper handwriting. Super useful for getting help with math, language learning, looking up relevant facts, generating ideas, etc.
See https://inq.shop/pages/app
[1] https://ikuyo.kenrick95.org/
[2] https://news.ycombinator.com/item?id=44247029
My most recent release is a camera app dedicated to RAW photography, which focuses on being fast & lightweight & technically precise - I wrote the website to be both a user’s manual and a crash course in photography concepts: https://bayercam.app
I’m working on my next app release, which I’m pretty excited about!
jq is an incredibly powerful tool, but it's not always the easiest tool to use. LLM's are remarkably good at constructing filters for most uses cases, but for people that work with JSON a lot, learning jq can be real benefit.
It is like MS Word "Bullets and numbering" but it's a small UNIX filter, no GUI, much faster and smoother than MS Word or Google Docs.
Perhaps the beginning of a markup language for text or HTML files intended to be converted to MS Word.
I'd previously tried to learn TLA+ a few times but always eventually lost interest and gave up. This approach was quick and easy. Disappointed that TLC can't really exhaustively check more than 8 steps; being O(n!), 9 steps would take months, even after all the symmetry optimizations. Maybe will look at TLAPS next.
https://github.com/nickincardone/catan-counter
I've been meaning to wrap the project up for a while. Went down a rabbit hole trying to make the vim containers fault tolerant and scalable using kubernetes. But, after a friend told me I could do everything using cloudflare containers, I've been changing my backend to use that instead.
Chrome web store link: https://chromewebstore.google.com/detail/n8n-copilot-chat-wi...
Low friction Markdown based voice journaling. Locally transcribed voice memos with whisper and write as markdown files (to any folder or obsidian vault).
[1] https://github.com/abey79/vpype
Would love to know what you think.
Want to test it out? Sign up to the waitlist at https://brice.ai and I'll give you access tomorrow.
flat planes and edges : https://youtu.be/-o58qe8egS4
semi-cylinder pipes : https://youtu.be/8fjHNDGKeu4
Aim to automate that TAM of 5Bn/yr of manual labor, growing at 12% cagr
SOM : ~100Mn
https://www.godtierprompts.com
The language is heavily inspired by Python for the dev UX, and the interpreter is written in RPython (what Pypy uses). Rewriting to RPython was tedious, but the 80x speedup was worth it.
The goal is to make a Minecraft server that constantly updates itself, giving you "unlimited content", while still retaining any progress you've made so far.
This's a beginner friendly arxiv paper exploration platform but with powerful feature to select multiple papers and get AI analysis and comparison.
Still figuring out how to pitch it, but so far it's 'Duolingo for relationship issues'
We launched this month and are growing fast which is exciting. I'm mostly impressed by how easy React Native has gotten, as a long-time native Apple Platforms dev, given all the training LLMs have on React.
https://apps.apple.com/us/app/daily-optimist-think-positive/...
https://github.com/matry/editor
Health insurance is one of the earliest, most important decisions immigrants make, and they often choose wrong. It can delay visa applications, cause coverage issues, or create expensive problems down the road.
Now they click a few buttons and get very specific recommendations explained in plain English. If they're confused, they can involve an independent insurance expert for free. The guy replies within an hour or two, and is cool with Whatsapp. The way I gather feedback from users, he's strongly incentivised to stay honest.
There is no AI involved, just good old-fashioned business logic. It means that the advice is sound, well-tested and verified by multiple competing experts.
It's such a far cry from either trusting whatever reddit or your employer tells you, or the slow back and forth of getting a quote from a (possibly dishonest) broker.
The second version[0] has been live for about a month, and the results are phenomenal. This third version vastly improves the quality of the advice, adding information about gap insurance for visa applicants, and making actual recommendations instead of listing all options.
It's a really fun project, even if the topic is boring. It's a great research, UX, copywriting, coding and business project. It's the product of a few months of hard work, and so far it seems to pay for itself.
[0] https://allaboutberlin.com/guides/german-health-insurance
[0] https://apps.apple.com/us/app/reflect-track-anything/id64638...
The other more recent is a web based CalDAV client for Todo items. I love the tasks.org mobile app and can't stand the Nextcloud Tasks UI so I'm making an alternative that'll be local first and simple but fast.
I could create a portfolio page for my various projects - https://projects.learntosolveit.com/
Idea is to be the uptime monitoring + status page solution software teams choose. Next big project I'm looking at is making a terraform provider for uptime checks, so setting up alerts for your new microservice becomes seamless.
Still years away from employing me full time, but we're getting there.
Just noticed your website checker might have a bug: https://onlineornot.com/website-down-checker?requestId=Kfd51...
https://www.mercuryfalling.net
Apologies for US zip codes only and imperial units. I’ll for international postal codes and offer Celsius/metric units soon.
Ideally, making rent as an open source developer.. any help appreciated. :-)
We're off and running, making the world's best configurators for complex products. Our first clients love us. Our configurators implement some very personal ideas about front-end state management, and it's really a thrill to see it all working with real products, 3d rendering and zero latency.
https://github.com/turbolytics/sql-flow
It has some interest, unfortunately building tools as a business strategy is rough.
Beginning to work on first actual product! More soon :)
Interested in collaboration, feedback, and all other things.
Architecture uses Traits (data) and Behaviors (logic) to implement things in the world model.
https://github.com/ChicagoDave/sharpee
Github repo has a link to what I plan to make a series of blog posts I started writing about it
https://github.com/tejom/python-type-check
Tritium is the legal integrated drafting environment: an egui Rust project to bring the IDE to corporate lawyers.
A simplified DAW for mixing together tracks with different keys and tempos. It uses WebAssembly and emscripten under the hood for audio processing.
It’s a work-in-progress passion project of mine where I get to explore new technologies and hone in on my UX / Web a11y skill set.
Our first devices were delivered to researchers in Feb for their clinical trail (we just provide the tech, it's their study).
We're prepping for pre-sale now as we finalize the last few manufacturing and design details.
https://affectablesleep.com
Think like ACE Studio, but I’m going much less for pitch performance and much more for clarity, expressiveness and human realism.
Very much at the data labeling phase but a little bit beyond the crude initial experiment phase.
Recently many companies have fallen victims to hiring NK workers and losing millions of dollars. There are few red flags to identity these candidates and avoid becoming a victim.
But working on it for past 7 months. It's running and I'm tweak/adding features while marketing it.
It synthesizes unusual market activity, insider moves, options flow, sentiment, technical and news analysis to deliver specific, actionable trade setups.
This is only good for paper trading, as most of the setups are very counterintuitive. You won't be able to execute them, and if you did try, you would end up losing sleep and your health even when you are correct.
https://waitlist-tx.pages.dev
I've always had issues collecting business metrics like "signups per day" in observability tools, but using marketing type tools comes with it's own set of problems.
[0] https://flexlogs.com/
https://github.com/abhchand/simplee-food
With some friends, I've been building "Mo Money": a Duolingo-style app to teach investing through a gamified mix of microlearning and a real-time trading simulator (but it's a game). It's meant to be built as much for total beginners as it is for amateurs.
Sim side: A fully playable trading game backed by historical market data (no real $$), it's now integrated with a FastAPI backend, WebSockets, Firebase (soon), and XP system to track skill growth and gamify progress.
Learning side: A clean microlearning stack that teaches financial literacy in snack-sized bits, a lot like Duolingo, it's interactive, level-based & accurate and relevant information in the most digestible format.
Just added: a lightweight AI tutor for contextual Q&A during lessons. Thinking of adding a little more AI than a chatbot potentially to help learners in the app.
Upcoming: XP-linked achievements, a leaderboard, and a light paywall via Buy Me a Coffee.
We're undergrads building this from scratch, aiming for early users soon. If you’ve ever thought “I wish someone made markets feel learnable,” we’re trying to do just that. super excited
It introduces quite a few changes. In my shipping apps, I'll probably be simply telling the OS not to use Liquid Glass (for now), but for my various test harni, I will need to adapt. Looks like a fair bit of work.
Also, organising specific topics for each month up to 2026.
https://github.com/erdeicodrut/Photo_tagger
Working on AI/NLP stuff in low-resource languages. Working on some research ideas (hope to publish) and well as some practical tools for learning languages.
Likely will do a prosumer SKU, will be faster and cheaper than the Mac Studio equivalent.
A residential proxy network that leverages blockchain by turning everyday users home connections who have no contracts against such practices, into rentable exit nodes, each contributing bandwidth in exchange for rewards. A dedicated blockchain ledger tracks the exact amount of data each node relays and automatically releases micropayments in the network’s native cryptocurrency, ensuring transparent, real-time compensation without a middleman.
But with my adhd, I'll likely end up working on another project sooner than later. Interested in MCP aggregation.
https://sudokuvariants.com/
1st published song, Piano Place Hold in Am: https://www.youtube.com/watch?v=EUOhb-wHdFQ
I recently shipped a first-draft UI demo that you can play around with for my self-hosted jobs tracker:
https://escape-rope.bhmt.dev
It runs a 25-minute focus timer, then launches a 3-minute round of a multiplayer minigame (right now just multiplayer Minesweeper), followed by a 2-minute cooldown with a chatbox
A couple friends and I do this manually, we work on side projects, mute ourselves on Discord, and play random games during the break. This just puts it all in one place.
Only Minesweeper for now, but planning to add a voting screen and a few more simple multiplayer games.
https://studytomato.com
Building it in public.
The free Shopify directory (240k stores and 580m products at the moment).
The MQTT routing backend is fully automatic. If two nodes are connected to the same MQTT server, or within range of gateways that are, they communicate.
The web client communicates directly with MQTT, meaning you can chat and set registers on devices without having hardware.
https://github.com/EternityForest/LazyMesh#
It's been a lot of fun but Meta HorizonOS (or whatever) is such a poorer dev experience... Anyway I'm now trying to rebuild the live environment mesh reconstruction feature that doesn't exist while encountering first limitations with Godot... Hopefully it will be ready in a couple months!
If this whole thing got you curious you can watch a technical talk I made about this game at the Letsvision conference in Shanghai, CN. https://www.youtube.com/watch?v=CYFH2hiRNqk
...and if social media doesn't somehow destroy your soul, you can follow me here: https://x.com/sxpstudio
Gonna wait until the LLM credits refresh next month to continue, but I'm very happy so far.
Elixir has been cool.
In few weeks releasing Chrome Extension for Youtube Transcript and Summary dashboard at https://www.infocaptor.com
Doing some minor fixes for https://wireframes.org - MockupTiger AI Wireframing
1. https://github.com/BandarLabs/coderunner
Document translator that keeps layout and formatting
clinical summaries of dietary supplements
Also I don't see how this solves anything, just because a pill "looks" like another doesn't mean it is that, it could still be anything.
Knock-offs tend to turn up later, be of inferior quality physically, and have worse reviews online and in the clubs / social circles.
https://oshianime.com
it now takes every other minute a webcam pic of me to see whats going on
Runs a cron daily, no manual work needed. Had fun building this.
https://pappo.carraes.dev/
Now I am focusing on trying to get brands / businesses to create games on https://playcraft.fun for their marketing campaigns or events
if you want are interested, feel free to ping me!
The card maker has its own web site with the rules for playing all kinds of card games, and it's filterable by number of players, including many games for one person.
Frankly, I'm astonished that it hadn't collapsed out from under me when I was shoveling snow off of it this past winter. Behind the ledger that tied the balcony to the house was a mess of pressure treated lumber scabbed into a cavity in the logs formed by rot, none of it well-fastened or fastened into truly sound wood.
It allows to define
add x1, x2, w3, sxth 2
add x2, x3, x4, lsr 8
as
...
add(X1, X2, X3).extend(ExtendMode::SXTH, 2), // yes, it is X3, not W3.
add(X2, X3, X4).shift(ShiftMode::LSR, 8),
...
Still haven't published the repo as I can't pick a cool name...
It's called SmartSearch - uses SentenceTransformers for embeddings and FAISS for fast similarity search. Best of all, it runs locally on your computer.
Why? I absolutely despise Mac's search. I want to be able to search within documents, images, pdf etc.
Github: https://github.com/neberej/smart-search/
Demo: https://github.com/user-attachments/assets/aed054e0-a91f-459...
It's called Heap. It's a macOS app for creating full-page local offline archives of webpages in various formats with a single click.
Creates image screenshot, pdf, markdown, html, and webarchive.
It can also be configured to archive videos, zip files etc using AppleScript. It can do things like run JavaScript on the website before archiving, signing in with user accounts before archiving, and running an Apple Shortcut post archiving.
I feel like people who are into data hoarding and self host would find this very helpful. If anyone wants to try it out:
https://apps.apple.com/ca/app/heap-website-full-page-image/i...
After some 12+ years of collecting microservices platform ideas in my head and implementing them at various companies and open-source projects, I decided to create a system that contains all of them.
1Backend is the result. Mostly built it for myself so I have a foundation to build projects on but I'd love if others would also use it!
coming up with intern projects is roght difficult nowadays
- Manages the entire range of personal (and maybe business) information/content: Documents, Media, Messages (email, instant, etc.), Contacts, Bookmarks, Calendar, etc.
- Tag based, so that the question of where to put and find content is quite a bit easier to answer. Think of a set of flat folders, on one or more devices, within which the files are stored with tags attached. However, there will be some improvements on the usual implementation of tag-based systems out in the wild. Since people find navigating/browsing files more natural than searching, virtual folders will be dynamically generated to provide guided navigation. Also, entire folders can also be treated as atomic and tagged/managed as one object, useful for repositories and projects. And, heuristics (and maybe AI) will be used to automatically tag files when they are imported into the tool, greatly reducing the tedium of adding tags the first time.
- Is file based, so that all information is ultimately physically stored as individual files. This allows information to be more easily managed on a physical level: moved around, backed up, exported/imported, searched, navigated, etc. without the restrictions imposed by the opaque islands of information we have now. So in addition to docs, each email/instant message, contact, scheduled task/event, bookmark, etc. would ultimately be stored as a file, unlocking all the things you can do with files.
- Has a local web-based UI launched from a local agent, so actual file content does not usually need to move across the network and stays local, and the tool is also easily multi-platform, with consistent UI irrespective of platform.
- Provides a cloud web UI as well, that communicates with content devices through the local agent, so that content stored across multiple devices can be managed in one central location, even without direct access to those devices, team/org features can be provided. However, file content still stays local, except when shared.
- Provides tools for exporting data as file from the data islands of various apps and service, and backing up as files to cloud storage services.
My vision is a situation where I am in charge of my own data irrespective of whatever device, app, or service I use, can ensure that it is always available and will not be lost, and that I can easily navigate and search through it all to find whatever I want, no matter how scattered and massive it is.
I welcome your thoughts. What would make this work for you? Would you mostly prefer a cloud UI or a local UI? Are there any technical or market gotchas I should be aware of?
[1] Here are some of my issues with personal information management affordances of current tech, which is driving me to work on a solution:
- Our data is too bound to device and vendor islands. Can't easily move my information across Apple/Google/Whatsapp, etc accounts. Can't easily merge and de-duplicate either. I almost always somehow lose data whenever I have to move to a new phone, etc.
- Hard to own your data on many services: Discord, Slack, etc. Can't easily export, search
- Hard to have a 360 overview and handle on all your data assets and query them in consistent manner
- Files as a unit of information storage and management is very ergonomic; we shouldn't allow that concept to be buried by vendors for their own gain.
My own action MMORPG (think Mordhau meets Cyberpunk meets Arma 3). It's the perfect application of everything I already know as a platform engineer, and I get to learn all the things I don't. I'm making the client foss, the assets foss, and the gameplay compelling as all getout. Non-sharded, persistent world, with different lands for different real world regions. It's a type of metaverse in truth, but some of that part I have to flesh out better on the local client side where you can do whatever, but on the server there is a storyline.
I almost applied to YC because I'm at the stage I'm close to public alpha and need funding, but instead I'm planning on crowdfunding, but the release strategy has to be tops. I'm also doing things like planning on how to scale the business itself, lots of work on the over time growth profit model, etc. So basically, instead of a thousand side projects, I have one giant project where I get to do everything with my own theorycrafting - after years of being stuck doing whatever the boards/c-suite needs, it's a taste freedom and a dream.
Been working on it since 2013...
Scrollable social network where the user generated content is microgames.
https://github.com/derekburgess/dungen
https://github.com/webmonch/hide-my-mail-cloudflare
I spent a couple months travelling.
Then I spent a couple months trying to use transformer-based models of sorts to detect short-lived inefficiencies in the stock market to try to create a passive income trading bot. I know short-term quant trading is super hard to be profitable, but Rentech did it, so I figured I'd throw a couple months at it.
Then I spent another couple months on AI for science, robotic lab automation, and trying to get AI to do AI research inside a Docker container.
I'd like to volunteer for a software project but I struggle to find good ways of locating a project that interests me.
What helped me get unstuck and get my creativity back up was setting myself constraints, like whatever I work on today, I'll ship it today, or let's try to make an intentionally useless bash script in 20 minutes.
to find ideas, start with the software you are using. is there any that you like using a lot where you feel that something could be improved? you can also look at websites that you are using, see if any of them are volunteer based.
if that doesn't lead to anything, look at your skills, or skills you'd like to learn. then look for projects based on that.
and finally just browse issues of various projects, search for "help wanted" or "good first issue" or similar and simply try out fixing one such issue, then see if you like working with that project.
there also was an hn thread similar to this one some time ago where people posted projects that they need help with: https://news.ycombinator.com/item?id=42157556
i also have a project that i could use some help with, but the learning curve is a bit high (or rather the setup work you need to do to before you can start coding): https://news.ycombinator.com/item?id=42159045
its good enough for me that ive started using it for my MCP masterclass videos / code export / transcript https://mcpmasterclass.com
It's pretty simple so far. I'm focused ok getting the basics right and robust, such that I can start playing around without disrupting the real network. I don't have any specific goals, I'm just sort of messing about.
One question that dropped into my lap today was who just announced 2k new Infohashes over the span of 10 minutes. That'll keep me busy for a while.