It’s inspired by tile placement board games like Patchwork and crosswords. You rotate and move tiles to rebuild a broken crossword.
It’s free, web based, and responsive.
I currently have several hundred daily players and growing. My wife and I create the puzzles and I’m continuing to fix bugs and add new features.
I just launched a ”community puzzle” feature to let players help build new puzzles.
I’d love to know what you think!
I was getting a little bored of retrocomputing discourse being so centered on gaming, so I'm exploring the productivity software of the 8/16-bit era. I put real effort into learning and using the programs, giving my light-hearted but heartfelt assessment of its form and function for both its time and today.
Using the software inevitably gets me thinking about other things, and I explore those threads as well. For example, "Superbase on the C64" also discusses the legacy and promise of "the paperless office." A couple of other posts got some nice traction here on HN, notably "Deluxe Paint on the Amiga" and "VisiCalc on the Apple 2".
I'm hoping to build a strong monthly readership, so I'm putting in the work. It's been up for two months and five posts now, with a new one coming at the end of this week.
https://www.inclusivecolors.com/
The interface is optimized to let you quickly explore and tweak multiple tints/shades at once so you can customize all colors exactly how you want e.g. try dragging vertically through the saturation curve in one motion to edit all the tints/shades at once, or shift whole curves horizontally by dragging between the dots on a curve.
It uses the HSLuv color space, where (unlike say HSL) the WCAG contrast stays the same when you change the hue and saturation sliders. This makes it much easier to explore accessible colors choices as you know only changes to the lightness slider will impact the contrast. You can also switch from the WCAG2 contrast checker to using APCA, which is meant to correct for inaccuracies in WCAG2, such as it being too forgiving for dark mode color combos.
Note the mobile version is more of a preview and the desktop version has more features.
I probably need to add something like a tutorial as there's a lot going on, but I've added more hints and tooltips recently. Open to feedback on what's initially confusing and what changes might help!
It's still a small closed alpha, if anyone is interested: https://testers.birdlego.com
Here is a rough trailer of it: https://www.youtube.com/watch?v=yVpR8aafFjI
- No sign-up, works entirely in-browser
- Live PDF preview + instant download
- VAT EU support
- Shareable invoice links
- Multi-language (10+) & multi-currency
- Multiple templates (incl. Stripe-style)
- Mobile-friendly
GitHub: https://github.com/VladSez/easy-invoice-pdf
Would love feedback, contributions, or ideas for other templates/features.
PS: e-invoice support coming soon
I think by this point everyone that is learning a language knows that immersion is very important, however a problem I've had myself is that the content that interests me is beyond my reach, and the content that is within reach doesn't interest me.
This is my attempt at doing something to remediate that. You select the content you want, and I create a personalized study plan to learn the most important words to achieve a target % of understanding. Then I generate a short story each week for your particular level containing the new words in the context of your content.
The idea is to bring the content you want to learn to your level so you can watch what you want to watch.
I'm making Easel, a 2D game programming language designed to match how humans, not computers, think about game logic. It also has automatic multiplayer. I've been working on it for 3 years!
Easel feels like a declarative programming language even though it is imperative, because lots of useful game-oriented features are first class. Like behaviours - you just say `on Pointer { ... }` and you have a concurrently-executing coroutine that's lifetime is managed. But you don't think about any of that complexity, you just think of your entity as having a behaviour and go forth and make your game.
It also happens to have automatic multiplayer. Normally with multiplayer you have to worry about doing everything in a "multiplayer safe" way (i.e. be deterministic and only modify the things your side has authority over). My idea was to put all the multiplayer stuff in the programming language itself, underneath all your lines of code. This way, anything you write in that programming language can just be made multiplayer, automatically. So you can just pretend all your players are in one shared world, like a singleplayer game, and the engine does all the multiplayer for you. It was really difficult to make but it makes multiplayer so easy for you now.
Easel is my idea of how games should be made, or at least as close to the idea as I can achieve with 3 years of work, and I would love for more people to try it out.
https://github.com/scallyw4g/bonsai
I recently ported the terrain generators to the GPU, and increased the visible volume to 1 billion voxels cubed. I did a short YouTube video about it.
https://www.youtube.com/watch?v=bLfgjWsM1PI
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.
But I'm hoping to have it out by the first week of December.
It's an explorable database of films, TV shows, books and board games based around their historical setting: where and when the thing is set. It's been incredibly complex and interesting getting the (messy) data, making sense of it and trying to design a UI to explore it.
https://stevebennett.me/2025/08/26/whenever-exploring-times-...
It’s exactly the product I wish I had when I started my previous company. Running on PaaS is incredible for devex but the pricing is bonkers, and the vendor lock in makes it really hard to deal with annual price increases. We spent close to 400k / year for just 128GB combined fleet in our last startup on Heroku.
Canine tries to get the best of both worlds: developer friendly PaaS with no lockin or price gouging.
Just added build packs as a build option recently.
Also got a sponsorship from the portainer folks which lets me work on this close to full time
Hoping this saves someone the headache I had two years ago.
FinBodhi uses double entry so complicated set of transactions and accounts can be modeled (which happen often enough in users financial journey). We wrote about double-entry here: https://finbodhi.com/docs/understanding-double-entry
We do use online services like firebase for auth, and some service to fetch commodity prices etc. But all your financial data is on your system (we use sqlite over opfs, in browser). For synching across devices, that data is encrypted with your key before it leaves your device. You can backup the data locally (if you are using chrome) and/or to your dropbox. It's designed so that we (the people building it) can't access your data.
There are many more features, like multi-currency, visualizations, a sheet to use your data to do complex calculations like taxes, planning for your future etc.
Feel free to try it out with the demo account (no sign-in required). Note: app doesn't work in Firefox private mode.
A few of my recent favorites: - swim lap counter in html/JS that uses the camera to watch you swim and count laps/timing - video recorder that records your window/desktop and uploads a file to S3 - video conferencing app that allows a 2 year to click on a family member face and initiates a video conference using webRTC, STUN, and browser audio/video capture with automatic bandwidth adjustments (works on all platforms with pure HTML/JS). - CUDA based ray tracer with HTML UI that can trace over 2m rays per second on my laptop for scientific study, allowing real-time display of optical parts. - chat front-end for image models like gemini-pro and openai that take other images and text as references and generate a big library of options to chose from in seconds, I've been using photoshop for decades but I tend to use this more now.
It's very interesting because the Ruby codebase uses a `typedef uintptr_t VALUE` type to mean any of the following:
- A pointer to the heap
- A Ruby tagged value (which may be a pointer to the heap)
- Any integer value that fits in `uintptr_t`
Fil-C doesn't allow you to carry around pointers using integers, in the sense that when you do that, the pointers lose their capabilities.
But in Ruby's case, it's not as simple as changing the typedef to a pointer type, since `VALUE` variables often end up being used for integer math (including bit math, shifts, etc).
So, it's going to take a nontrivial patch to Ruby to get it to work in Fil-C. I think I'm about 70% of the way through (I started Friday afternoon).
My favorite so far is: "The Anti-AI UI Test".
After ChatGPT Atlas came out I thought it would be fun to find UI patterns that AI browsers couldn't figure out like multiple download buttons, hidden unsubscribe buttons, etc. So I created 7 levels of web dark patterns for AI browsers. You can try it yourself if you want:
https://codinhood.com/anti-ai-ui
I found Atlas can get through most patterns, so I created an even more unhinged one (job application form) that shifts the interface and flashes content.
Don't take it too seriously as actually testing AI browsers, it just a fun side project. I documented the patterns here: https://codinhood.com/anti-ai-ui/about
- Currently in free Early Access with 18 competitive mini-games.
- Players use their mobile phones as controllers (you can use game pads as well!)
- Everything is completely web-based, no downloads or installs necessary to play
- The games are all action based, with quick ~one minute rounds to keep a good pace. This means there are no language based trivia games!
- In the future we plan to open up the platform for 3rd party developers as well. We take care of the network connectivity, controllers etc.. 3rd party devs can focus on developing cool multiplayer mini-games without spending an eternity with networking coded and infrastructure.
Would love any feedback you might have!
After being downsized twice in two years from senior engineering roles, I realized how painful it is to reconstruct what you actually accomplished at a job once you’ve lost access to your repos.
Each time, I had to dig through memory and scraps of old PRs to remember what I’d built. The first time, I lost GitHub access immediately after the layoff notice. This time, at least we got 90 days of paid transition work. But even with just 5 months in the role, I’d already made hundreds of commits. For engineers who’ve been around for years, that’s an impossible amount of history to summarize manually.
So I’m building CommitKit, a command-line tool that scans your repo for your commits, groups them by feature or theme using embeddings, and generates professional CV bullet points or behavioral interview summaries. It runs locally using Ollama, so your commit messages and diffs never leave your machine. The goal is to help people quickly turn real engineering work into clear narratives of impact, especially when time or access is limited.
It’s still early: the clustering isn’t grouping commits quite as I’d hoped, possibly due to sparse commit messages or embedding quirks. But it’s been a great learning project: my first CLI tool, my first deployment on Render, and my first serious use of Ollama for local LLM inference.
It has been a super fun experience so far - I'm using CPLDs instead of an FPGA which makes the logic a bit more era period. I have a working system now with the math coprocessor, SRAM, DRAM, and other device support.
I am just about ready to get the VGA card I designed produced so I can work on debugging the design.
While this is fundamentally a system that ss less powerful than my apple watch, it is just fun to work on. Going back to very first principles debugging, building tools, and of course getting to exercise an old logic analyzer!
So I've been building something with no imported libraries or dependencies: a card game that gamifies Maslow's hierarchy of needs: https://gamefound.com/en/projects/nicomar/actualize-this
Each player drafts cards that represent ways you can spend your limited time on earth to gather resources (wisdom, gold, and virtue) to complete your own personal player board (your hierarchy of needs) with the goal of reaching self-actualization before other players. However, you can still win without becoming self-actualized, if you complete more hidden quests (which can only be discarded by the "therapy session" card).
It looks inside each file to see what it’s about, then moves it to the right folder with a single click. Everything happens on your Mac, so nothing leaves your computer. No clouds, no servers.
It already works with images, Office (Word, Excel, PowerPoint) PDFs, ePubs, text, Markdown, and many other file types (30+) in English. Next I’m adding multi-language support.
If you have messy folders anywhere on your Mac, Floxtop can help.
Try it for free - requires macOS 14+ with Apple Silicon: https://github.com/taranntell/fallinorg/releases/download/1....
Maybe it's a story about named local fishermen from the early 1900s, with pictures, the history of a statue and videos of the process, or the state of a graffiti wall over time.
Currently in a phase of UI development and testing, and historical societies outreach for collaboration. It might stall and just fizzle into nothing, or it might be something cool.
Also still doing https://wheretodrink.beer, but haven't added anything of note since playing on this other project.
* Disk images
* Liveboot isos
* Container images (docker/podman)
Many build products are supported, with more on the way:
https://chrivers.github.io/raptor/builders/index.html#compat...
It uses a syntax that is inspired by Docker, but significantly enhanced.
Take a look at:
* The project: https://github.com/chrivers/raptor/
* The book: https://chrivers.github.io/raptor/
The code is at https://github.com/matthiasgoergens/git-snap-fs
The original was in Python and actually had a decent excuse for existing for a very specific problem at work a few years ago. The new version is in Rust and exists just for fun.
This was also a small experiment in coding with OpenAI's codex. I wrote the Python original by hand---like a caveman. Codex was mostly ok at the actual code, especially once I told it to make `cargo clippy` happy, but it needed lots of help with the design. It kept insisting on extra complications and state.
But perhaps I'm a bit unfair here, because I only figured out the nice and simple design after reflecting on the connection between Linux's fuse and git's design for a while when writing the original. So it's only fair that the computer would also need some help to see how to match them up nicely.
Speed is not an optional feature on the web. The site above is written in Firefly, uses hydration, and scores 100% on PageSpeed Insights.
The language is largely complete, and we're now working on DX: Got a language server, a devserver, and some essential libraries.
A simple iOS app for scanning (almost any) barcode and storing in the app, or adding it to your home via a widget. No tracking, no subscriptions, just a simple free app that is pretty simple to use and does the one thing I want it to do.
Building my own software has been super refreshing compared to working within a large organization. I really enjoy the path of just developing and it is fun to get into something different than React/TypeScript and Java. It was also really interesting to go through the process of publishing the app in the Apple App Store. Heard so many bad stories, but it was OK. Definitely not great, but not as bad as I was expecting.
Two learnings from this so far:
1. I do not think that I would want to do any Swift development in a large organization. Super fun to build indie style, but I can't imagine having to support 5+ years of old iOS versions. 2. I ditched most social media a long time ago and if you do not have any personal promotion channel, you are super limited into reaching any potential users for your software. I still do not know how to deal with this; I do not have any ambition to go back into building a social following. I just like building the "thing", but just building it is definitely not enough to get any traction.
For the current project I am building another iOS app, a bit more complex, also something I want to use myself. I was considering building with React Native, but ditched that plan because when I am building for myself, there would (I think) be a lot of overhead in testing Android.
For now I really like what I am doing, but financially I think I should consider going back to Java/Scala or React dev for a corporate client :-|.
My friend had a cute baby boy and mentioned difficulty in finding children's storybooks in Spanish.
Challenge accepted:
I built an AI generated multilingual storybook, just to see if it would work.
Tap or click the little monster to have it read to you.
Local LLM generated the story, stable-diffusion generated the images, AI converted text to speech in two languages: English and Spanish ( could easily do many more languages ).
I "filled the app out" by adding a simple landing page placeholder, login page and "library" page.
Not very phone friendly, was made for her iPad.
Only the second book currently has a story, the others are placeholder templates.
Bedtime Bulb v2[0]: A massive improvement over our original Bedtime Bulb, a light bulb meant for use in the evening to reduce blue light. The headline feature is the re-introduction of infrared, which was removed from lighting to make it more efficient, but emerging research suggest it's beneficial for health. After a long wait, this is shipping in 2 weeks!
Atmos Bedside Lamp[1]: A fully automated circadian lamp that automatically shifts in color and brightness throughout the day, helping you prepare for sleep and wake up more naturally. Working on some machine learning features that mimic the functionality of the Nest Learning Thermostat, but for lighting. The first units are shipping by Christmas.
Circadian Mode for Philips Hue[2]: A web app that gives your Philips Hue lights circadian powers, so that they gradually shift from bright light during the day to dim, low-blue light at night. It's way more powerful and easier to use than first- and third-party options from Hue, Apple, and Home Assistant. Just launched this week; looking for beta testers to give feedback!
[0] https://restfullighting.com/products/bedtime-bulb-v2-preorde...
[1] https://restfullighting.com/products/restful-atmos-preorder
[2] https://restfullighting.com/pages/circadian-mode-for-philips...
Hope to document 100 ideas. Wish me luck.
So I'm building a distributed AI inference platform where you can run models on your own hardware and access it from anywhere privately. Keep your data on infrastructure you control, but also leverage a credit system to tap into more powerful compute when you need it. Your idle GPU time can earn credits for accessing bigger models. The goal is making it dead simple to use your home hardware from wherever you're working.
It's for anyone who wants infrastructure optionality: developers who don't want vendor lock-in, businesses with compliance requirements, or just people who don't want their data sent to third parties.
Get notified when we launch: https://sporeintel.com
https://www.linkedin.com/posts/danielkrol_openstreetmap-acti...
All of the street and satellite tiles are thanks to maps.black. The search uses Nominatim's sqlite3 mode. I was told that it's experimental only because it hasn't been tried in production yet, so I'm sort of testing it in the process. So far I'm only doing administrative boundaries and natural features, but so far so good! I'm going to slowly add a few more types of POIs, I just don't want the database file to get too big.
Note that Internet in a Box has an OSM offering already, but the data is five years old and the tech makes it harder to update. As of today, there are much easier options on the table, and we get cool stuff like 3d buildings. Also, the search was much more limited.
* https://internet-in-a-box.org/
* https://nominatim.org/release-docs/latest/customize/SQLite/
Trying to fix this problem with Eternal Vault.
Link: https://eternalvault.app
Another thing thats in early alpha right now is CapKit, AI professional captions for short form videos
Turns out not that hard.
In about a weekend, I built a UETA and ESIGN compliant tool. And it was free. And it cost me less than $50. Unlimited free e-sign. https://useinkless.com/
I’ve been obsessed with how people actually make travel decisions — not how platforms think they do. From a consumer’s standpoint, travel isn’t just “search → compare → book.” It’s emotional, contextual, and full of FOMO.
You open 20 tabs across Booking, Google Maps, Reddit, and Instagram trying to answer simple questions like: Is this the right area? Is this hotel actually good? Am I missing a better deal somewhere else?
Most existing tools either oversimplify (like ChatGPT giving three confident but unverifiable answers) or hide information behind algorithms and commissions (like OTAs). Both remove choice — and ironically, make people less confident.
I’m building SearchSpot, a “Cursor for travel.” It automatically does what power travelers already do manually — cross-check reviews, verify real photos, compare prices across platforms — and then shows its reasoning transparently so you understand why something was recommended or excluded.
The goal isn’t to replace your decisions, but to help you close your tabs with confidence. From FOMO to flow. From chaos to clarity.
If you’ve ever spent hours researching a trip just to end up more confused, I’d love your thoughts: https://searchspot.ai/home
Not related to the thread, but if anyone is looking to hire a developer or knows of opportunities, I was recently let go and am actively searching. Any leads or feedback would be greatly appreciated.
Sample PDF: https://drive.google.com/file/d/1n7M1TKOptSsYiibrbvV_Yojx53T...
She can also join your google meet or teams meetings, share her screen and then everyone in the meeting can ask questions and see live results. Currently being used by product managers and executives for mainly analytics and data science use cases.
We plan to open-source it soon if there is demand. Very fast voice+actions is the future imo
Back in the day, after the company I worked for bought the Electric Minds community and migrated it to its own CommunityWare system, and then the company that bought our company decided to shut the platform down, I reimplemented the community platform in Java and helped rescue the community. See: https://erbosoft.com/blog/2025/09/08/electric-minds/
EMinds eventually sputtered out because of the rise of platforms like Facebook. Well, now we see what came of that. So I think there's room for a platform like the one I used to have. See: https://erbosoft.com/blog/2025/11/03/what-we-once-had-and-co...
The new system is being written in Go. I'm porting the code over without using AI, though I have used Claude to translate the old crusty HTML pages into modern HTML with Tailwind CSS. Once it gets to the functionality I had back in 2006, I'll put it up...and then see about going beyond that, including how to make it distributed and provide more interoperability.
Lumina has made a probiotic strain that is able to, theoretically, prevent cavities. I don't care that much about, but I do think it is a neat strain that can likely colonize your mouth. I'm genetically engineering it to express sfGFP, which would theoretically make my teeth fluorescent green under black light. Would be fun at raves! Also, if I make out with anyone, you could theoretically see changes in microbiome composition just from green-ness. I do wonder how much microbiomes are shared while kissing: this would be an example of a way to directly measure that, instead of just measuring on proxy like much microbiome research
Instead of DOM scraping, it intercepts AJAX calls and figures out which API endpoint gives you the data you need. Uses visual analysis + fuzzy matching to identify the right call.
The use case: scraping product reviews, paginated listing data (products), etc. Existing AI scrapers either didn't work or were very slow and costly. A product with 1000 reviews takes 10+ minutes with Playwright, costs $10 with LLM scrapers. With Strot? 10 seconds via direct API calls.
Being used in production by a couple of clients. Would love feedback!
Blog: https://blog.vertexcover.io/strot-is-a-api-scraper GitHub: https://github.com/vertexcover-io/strot
You can think of it as a data source, or a knowledgeable companion that can provide comprehensive book information for online booksellers, libraries, book-related startups, bookworms, and more.
I got a pre-alpha build running for those that want to test it out[2], but the code is still not out there, as there are a few things I want to refactor. Wrote comprehensive documentation for it this weekend, now I need to refactor the merger package with some new rules, and write something to decrease the number of genres returned.
Been tough to find time to work on it because of the baby, but AI has been helping a lot to speed things up, and the work has been quite fun. Not sure if there will be interest in the idea, but it solves a problem I have, so I had to work on it anyway.
Hope to have the code on GitHub by the end of this week. AGPL licensed.
[1]: https://github.com/pagina394/librario
[2]: https://paste.sr.ht/~jamesponddotco/5612eaa80fc7eee8b6180a31...
In programming mode, its a flash drive you can put LUA scripts on.
In run mode, you can select a lua script to run. Lua scripts can take HID input and produce HID output.
All open source, hardware and software: https://github.com/cedarhacks/ReMapper
It can do things like keyboard -> joystick mapping, key logging, macros, mouse wiggling etc etc
An algorithm to optimise vacation days using public holidays and weekends. Especially relevant at this time of year.
I created it a year ago and received quite some comments on the Show HN post[1]. Last weekend I updated it to work for end of year planning and adding fixed days off, which seems to solve most of the feedback. It was done with Cursor in agent mode.
OpenFret combines everything a guitarist needs in one place: smart gear inventory management, AI-powered practice sessions, real-time collaboration tools, and a vibrant community. Think of it as "GitHub for guitarists" meets comprehensive practice tool.
Core features:
1) Smart Guitar Inventory: Track your collection with auto-filled specs from thousands of guitar models. Monitor woods, pickups, scale length, string changes, and discover patterns in your gear
2) AI Practice Sessions: Generate personalized guitar tabs and lessons based on your practice history, with VexFlow sheet music and integrated metronome
3) Session Mode: Fork and merge music tracks like code. Layer recordings, see version history, and collaborate with musicians worldwide
4) Practice Analytics: Persistent timers, song tracking (Last.fm integration), scale visualization, fretboard maps, and chord progressions
5) Built-in Tools: Guitar tuner with frequency control, Strudel integration for backing tracks, and musical helpers to break out of E minor habits
Looking for:
Feedback from guitarists/musicians on which features resonate most
Link: https://openfret.com/ | Discord: https://discord.gg/G3Pur3PzZm
Thank you!
It's a custom assembler built on top of the LLVM assembler (llvm-mc) that emits instrumentation code to catch ABI violations at runtime. Stuff like clobbering nonvolatile registers, misaligning the stack pointer, misusing the redzone, assuming volatile registers don't change across a function call, etc.
Hoping to finish up basic x86_64 support within the next few days. I can now reliably assemble and run unoptimized gcc output without hitting false positives, but I still have to iron out some false positives triggered by OpenSSL's handwritten assembly routines.
TODO items for the near future include porting the runtime support library into a kernel module so I can instrument Linux, and beginning ports other architectures (ideally something semi-obscure like POWER or RISC-V). I also need to figure out how to support dynamic linking, because the tool currently needs static linking to access its thread-local variables.
https://github.com/kenballus/llvm-project/tree/abisan/llvm/t...
Laketower: https://github.com/datalpia/laketower A lightweight data lakehouse exploration and management app (web+cli), using DuckDB as the default query engine. It can run locally or self hosted, and for now statically configured only. Hope to integrate Iceberg and Ducklake support by end of year.
Modelship: https://github.com/datalpia/modelship An ML model to app generator. For now, only ONNX models are supported as input, and only static website as target (onnx runtime web wasm/webgpu). I intend to also work more on it the following weeks/months, especially to support more model I/O types, and add support for more targets (REST API, CLI, etc).
These 2 projects were born from professional activity needs but are a nice playground to learn and try new things
I’m building this using our framework for stack-agnostic JS/TS libraries. On the database side, we currently support Drizzle and Kysely, with Prisma support coming soon.
https://fragno.dev/docs/our-fragments/stripe/quickstart
Inspired by the Stripe integration built for better-auth.
I'm in Germany so I'm working on a Germany-specific solution for now.
- you choose from a list of charities (right now I'm working with the list from the https://dzi.de plus a few such as Wikimedia Deutschland)
- you setup a recurring donation to our bank account
- we redistribute the money according to your split
- no spam in your email and snail mail
- one pdf at the end of the year for your tax returns
I'm not planning on taking any cut of the donations obviously, so this will be a fully self-funded project at first, but I'll reach-out to foundations once I'm up and running.
The URL will be https://super.giving/ (not setup yet, should be fairly soon).
I'm also planning on releasing the source code as open-source.
I'd be happy to hear your feedback, either here or via email :)
Lately I've mainly been working on stability and bug fixes. I've released some big features the past few months so I'm doing a big push on polish, before I again tackle some larger features that I'd like to implement.
If CLI scripts is something you're interested in at all, give it a go! We have docs and a guide [1] for getting started, feedback very welcome :)
[0] https://github.com/amterp/rad [1] https://amterp.github.io/rad/guide/getting-started/
Now they can charge rent if they encounter a continued fraction library in the wild.
It's bizarre
Recently it hit v2.0 spec conformance. 3.0 is next on the roadmap. (I'm executing it against the upstream spec test suite.)
My aim is probably not for it to become a highly-performant decoder for use in production environments, but rather one that can be used for educational purposes and/or debugging issues with existing modules. That's why I decided not to offer a streaming API, and why I'll be focusing on things like good errors, good code docs etc.
P.S. I'm new to the language so any feedback is more than welcome.
https://fontofweb.com/u/fontofweb
I was tired of inspiration sites like Dribbble full of polished mockups that aren't practical. Or awwward like sites that don't represent the mundanity of most websites.
So, I spent a while building a tool that captures website design snippets. It's now a collection of 4,363 designs from 544 different domains.
For every design, it extracts:
The exact fonts used on the page (so far 561 unique font families I've found)
The precise color palette
A direct link to the live site
You can check out the full free collection here: https://fontofweb.com/u/fontofweb
Entirely built from scratch in C without any dependencies. Now I wrote this code when I was 16, so many memory leaks and generally issues that I wanted to rectify and begin using third project for my own blog (currently old version is used — https://aadvikpandey.com)
The Kevlar v3 (https://github.com/aadv1k/kevlar/tree/kevlar-v3) here is all that it includes; more spec compliant markdown AST-based parsing; A better .ini config parser (right now it’s literally strtok on ‘=‘ and generally very hacky) as well as name spacing; more powerful templating tags like IF, FOR with lisp-like configuration
Of course staying true to the spirit of “from scratch” :)
Honestly I did scope creeped a little since I mainly wanted to fix a memory leaks issue in the markdown compiler lol; anyway I will share it once it gets completed on hacker news :)
An annoying little laptop charging reminder utility that does the job.
---
There are times when I am deeply involved in a focus-work session, a meeting, OR watching some sort of engaging video content, and don't pay timely attention to the standard low battery notifications from my MacBook.
After the laptop shuts down suddenly, what follows is the most annoying walk to find the charger or the charging outlet. It's frustrating at times, sometimes embarrassing because you have to say, "Sorry, my battery died down" as you join back the session after 2-3 minutes.
Over the last 3-4 weekends, I have been building Plug-That-In, which has floating notifications. Essentially, a notification that follows my cursor movement, so I get a stronger nudge irrespective of what I am doing.
There are a few other critical features, such as Reminder Mode and Do-Not-Disturb Settings.
- Reminder Mode: On critical/lower battery levels, it will keep beeping like a car's seat belt alert for some time (configurable) when the battery is really low.
- Do-Not-Disturb settings: Configure what sort of alert/sound it will generate when I have system audio playing or video playing, or the camera is active.
It has addressed a personal need and has already proven useful a few times over the last weeks.
Obviously, anyone here who has read my posts knows I know how to write code, but having a bunch of built in connectors that are agnostic to each other with the Oauth and the like being somewhat plug and play allows me to iterate on some ideas a lot quicker.
I installed an n8n instance on my server, and have become kind of addicted to making different Discord bots, and I'm having more fun with this than I thought I would. 95% of the stuff on there is basically drag and drop, and when I need more elaborate logic then I can easily drop into JavaScript. I am looking into writing new nodes for different services, and I keep having new ideas for different stuff I want to build.
I recently shipped an MCP server thst can delivered broken link results to Cursor so they can rapidly be resolved.
It runs on a Raspberry Pi 2 with an AudioInjector sound card, a small LCD screen, a rotary encoder, and even an old hard-drive platter as the “deck.” The goal is to make a simple, open, and affordable way to experiment with scratching and mixing — no fancy gear required.
It’s still in progress, but it works pretty well and has been a fun way to explore DIY DJ tech and embedded audio.
I’ve always wanted a typing application that’s both more than typing random words and is data-focused so I built this.
The more you type, the more the analytics system learns about your typing patterns and generates natural text to target those weakpoints (SmartPractice mode).
There’s a lot of variety as well; you can practice typing code in any programming language, or type text of various topics, use custom text, etc).
- An AI RSS feed summarizer (https://feeds.carmo.io)
- A PyObjC replacement for the bloated StreamDeck app (https://mastodon.social/@rcarmo/115498602604176483)
- A new keyboard, mostly to get back into SMD soldering (https://mastodon.social/@taoofmac/115521815709828495)
- A bunch of small MCP servers for other projects (https://mastodon.social/@taoofmac/115315732816298110)
- A case for a little server (https://taoofmac.com/space/reviews/2025/11/09/1930) that will eventually run at family's out in the countryside and manage a few ESP32 boards scattered around
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).
A STUN server that lets people test what type of NAT they have uses two IPs. For such a server you have to manually specify the addresses to bind on to make for sure its setup right. As it goes, writing network software to do simple things like "bind on all local addresses", "bind publicly", "bind on all", is harder than it sounds. There are edge cases on different OSes and address families, so manually managing IPs is hard to do.
My network software lets devs easily manage NICs and routes they support without guessing about addressing. Additionally, I've written a bunch of software with the library already to do things like NAT traversal. So its really my own redesign of how to do networking on the Internet. Designed to hide a lot of the messiness. I'm still improving code quality so it's not ready yet. But I've been dog fooding with a lot of software written in it and smashing bugs every day.
Project page: https://github.com/robertsdotpm/p2pd Built this recently with it: http://ovh1.p2pd.net:8000/servers (server monitor for public STUN, TURN, MQTT, and NTP servers. Only checks every 4 hours to avoid spamming them though.)
Really happy with it as I wanted exactly that for myself.
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The next idea I am going to work on is the audio player. I already wrote a Rust library to read TOC + raw track data from audio CDs (https://github.com/Bloomca/rust-cd-da-reader) and a CLI tool to do so + convert to FLAC and embed metadata from MusicBrainz (https://github.com/Bloomca/audio-cd-ripper).
I've been researching this topic and while my background is related to digital signal processing, I think I will use a library, there seem to be too many edge cases to work with WASAPI and such directly.
Windows does not natively support rendering thumbnails for 10-bit videos, which are commonly produced by cameras like the Sony A7IV.
When I started working on a short film the video clips were piling up on my hard drive. Opening them one by one to find what I was looking for was tedious.
I could not find a reputable solution to this problem, so I started a company and built one. I went through the process of EV Certification to have the installer and executable code signed.
I hope to be in the Microsoft Store soon.
I'm also building other utilities with similar purpose.
https://github.com/Fingel/gelly
I've been enjoying rebuilding my music collection from both old hard drives and ripping old CDs. Jellyfin is great but I wanted a native application focused on music, not video. Thus Gelly. It's been really fun to work on.
And the other goal is minimal dependencies. The only bootstrapping stage is a very very small core in Common Lisp + FSet but could also be replaced with other languages, and then using that subset to bootstrap the rest.
There is absolutely zero claim to be highly performant, it is more of an educational experience.
All of it is done via literate programming in org-mode. So far it's working pretty well, but will have to see how that approach works if the project grows.
You just need to pay for a fixed monthly upfront cost rather than PAYG, giving small developers a good save of their money.
In other words, this is similar to self hosting with K0S/K3S/OpenShift, except you don't have to own servers to begin with, in other words, it is a little similar to serverless K8S.
Well, all you those you can actually do with a VPS today, heck why do I have to do it if EKS/GKE/LKE/OKE/DOKS exists? That's because it takes a lot of time to properly setup VPC/EBS/S3/EC2, you need to pay an insane amount of premium and overheads to those while an ordinary user just don't want to hassle too much.
I want to undercut the big clouds by saving people's money and time. I have had enough of seeing a ludicrous EKS billing. I just want K8S to be the control panel of everything.
Deploy, run and scale later, simple as that
The main question is which P2P overlay network to use, if any: the prior incarnation used Pinecone (a variant of Yggdrasil), whereas this time we're pondering keeping it simpler and more scalable and using Matrix itself as the backbone to connect together smallish local P2P meshes - so by default you try to route via Matrix, but failing that you look on your LAN or BLE to see if you can talk directly to whoever you're addressing. Time will tell if this works :)
Kinda like this (https://github.com/open-telemetry/opentelemetry-injector) but with support of having multiple service name for different services. This includes tomcat, normal systemd services and also services running inside docker containers.
EDIT: I am popping my cherry with this comment on HN. Been a lurker since past 2-3 years.
FURS does for Forth, what headers do for C, namely provide all the embedded configuration information inside a Cortex-M MCU, for the up to 100 inbuilt peripherals.
Without this data, neither C nor Forth (or any other language) have any clue about how to use the peripherals.
FURS does this by intercepting the Forth user source as it's uploaded to the on-chip compiler and transforming it into language the MCU inherently understands.
The Forth user source code is not altered in any way.
I've used the Fossil DCVS for the entire FURS project so that all the flowcharts, pictures, code, user doc, trouble-ticket, wiki ... everything is contained in the ONE FILE, under 5MB.
This one file gives you a web server so all you need is a browser to easily view all the above from the main menu.
Howto: https://sourceforge.net/projects/mecrisp-stellaris-folkdoc/f...
The idea is to take boring components: PostgreSQL, Bifrost (LLM gateway), Open WebUI, LanceDB, Agentgateway (MCP and OpenAPI gateway) and deploy them in Fly.io. One Fly.io "org" per user. The closest equivalent is blaxel.ai, but it caters for AI SaaS startups, not individual customers.
The combination of the fact that Fly secrets are visible only from within the apps, distroless containers, and transparent data encryption for PostgreSQL assures that the service (Pocketdata) provider cannot access their data, only the infrastructure provider (Fly.io) theoretically can, but practically speaking, this gives an extremely high degree of privacy assurance.
The latest update on the project: https://engineeringideas.substack.com/p/tasklet-is-the-o1-mo...
I got all the components, tested it on a breadboard, learned to solder and now I'm working on the 3d Print to enclose everything.
I actually just did a test run to see if my current 3d design would fit my PICO board, and it fit, but not that secure yet.
Im a developer but never worked this close to metal, so I've been so happy with how it's been going so far, making me real proud of myself.
This is a pet project for myself. I love listening to online radio while at work, helps me focus. But I didn't really click with any of the current selection of web apps out there so decided to build one myself.
It uses the great API available at radio-browser.info for all the radio information.
Been using it as a way to learn how to market a website as well. Learning a lot.
I welcome any constructive feedback.
I've been building a Decentralized Database built on top of syncing CRDTs, and recently got it to a point I can demo. It's definitely in a "proof-of-concept" stage though, known security holes and all.
I've been focused on building out the featureset and keeping everything unstable instead of trying to finalize each piece as I build it. It's the opposite of how I normally build things but I think it's been working pretty well for this.
I've written about it a few times, most recently "Using CRDTs + Sync as a Database" - https://jackson.dev/post/crdts_as_database/
Why? Most solitaire apps frustrate players with impossible games or endless randomness. Solitairle is designed for people (like me) who want a satisfying win through skill, not luck. Every day brings a new, solvable challenge, complete with helpful tools (back button, dead-end warnings) to keep it fun and frustration-free.
I’m especially interested in feedback from people who:
Enjoy casual puzzle games but get discouraged by unwinnable setups,
Value clean, minimalist interfaces without ads,
Have ideas for daily challenges or fun player stats.
Would love your thoughts: What frustrates you most about digital solitaire? What would make you want to play daily?
LINOG.ph is a live earthquake tracker for the Philippines.
The Philippines deals with thousands of earthquakes a year. Whenever the government volcanology and seismology department detects earthquakes, they post it on their official website.
When a major earthquake happens, a huge number of people try to visit the site, causing downtime for up to an hour.
LINOG.ph caches earthquake data from the official government website and the U.S. Geological Survey site, and makes them highly available to the public.
I built this after seeing friends and family donating and providing support for affected families after a major earthquake in Cebu. This was my way of helping out.
Two super typhoons have hit the Philippines in the past two weeks, so I'm also considering adding in typhoon tracking.
Career Skills AI Coach. Sharpen how you think and speak by debating AI
We are clearly on the verge of the largest white-collar skills dislocation ever. Our goal at Socratify is to make skill building and reskilling for interviewing, onboarding, promotions, and career change as effective as possible with an AI coach and sparring partner.
Any feedback is welcome!
It’s a single binary, dependency-free monitor in Rust that does it all: metrics, Docker, alerts, and file browsing. While maintaining a minimal footprint for embedded systems and other constrained hardware.
Every week I pull together all the new talk recordings from hundreds of conferences (Devoxx, KubeCon, PyCon, QCon, LeadDev, dotJS, and many more) as well as podcasts. I highlight a few must-watch ones with short summaries, then include a list of everything else uploaded that week.
It started as a personal project to fix my own messy YT subscriptions, and now 7,000+ people read it. I also publish fun extras like “Most Watched Talks of 2024” for Python, Java, Rust, etc.
If you watch engineering talks, you might find it useful. I’d love to know what you think!
Made this web app for my nephew, based in Singapore, after watching him struggle to find anyone to practice Hindi with outside of family calls (since most of his friends are Chinese). The idea is to have a 24x7 partner to speak with Hindi and make it fun. This can complement the formal Hindi classes that most kids of Indian diaspora parents take.
My nephew started using this and is enjoying it!
Link: https://www.hindispeakingtutor.in/
Looking to hear feedback from the community!
So, I started working with Claude on building a postgres database replication application. I'm learning Postgres internals as well as how brittle database replication and subscription can really be. Although this is for Seren, you can replicate between any PG databases. https://github.com/serenorg/postgres-seren-replicator
Big learning: Claude Sonnet with Rust is massively productive. I'm impressed, but code bloat is a thing.
I‘ve just finished the final pinnacle boss of the endgame in the version released last weekend.
Of course we have to slap "AI" on it in this market, but we plan on adding AI features that are actually thoughtful and not just a glorified chatbot.
The idea is to bring something like k6 to the PHP ecosystem:
A Go-based load-testing engine
A PHP SDK that lets developers write performance tests inside PHPUnit
Assertions for latency, error rates, and business logic
Can spin up local servers and run in CI/CD
Working on distributed mode to scale tests across multiple nodes
Currently building the cloud version so teams can run large tests without managing infrastructure
For Laravel developers, I also released a package that integrates Volt-Test directly into the framework:
https://github.com/volt-test/laravel-performance-testing
It supports automatic route discovery and makes it easy to write performance scenarios using familiar testing patterns.
Docs + examples: https://php.volt-test.com
If anyone here has experience building or running distributed load-testing systems, I’d appreciate any feedback or pointers.
https://kauwenofspauwen.be/en Belgian food hygiene rating from official gov reports
There are a number of use cases for such a tool. One is for helping data analysts who are handed a pile of JSON documents to be able to more quickly and effectively craft analytics pipelines for heterogeneous data where just inspecting a few documents isn't sufficient. Another is to help automate API specification generation and regression testing. Definitely interested in any feedback.
[0] https://github.com/dataunitylab/jsonoid-discovery/ [1] https://michael.mior.ca/blog/llms-for-schema-augmentation/ [2] https://arxiv.org/abs/2407.03286
I was a YC founder in 2006 and now work as a data scientist full-time, but on the side I also do Christian apologetics, helping fellow engineers/scientists/mathematicians seek answers to life's deepest questions.
Some cool articles for the HN crowd:
- [published several days ago] Medical miracles in Lourdes, France recognized by the Catholic Church 2018-2025: https://www.saintbeluga.org/our-lady-of-lourdes-immaculate-c...
- My interview of Evan O'Dorney, a three-time Putnam Fellow and two-time IMO gold medalist, who converted to Catholic Christianity: https://www.saintbeluga.org/veritas-part-i-conversion-of-a-p...
- In-depth scientific overview of Eucharistic miracles: https://www.saintbeluga.org/eucharistic-miracles-god-under-t...
- Conversion testimony by Harvard astronomy professor Karin Oberg: https://www.saintbeluga.org/veritas-part-ii-conversions-at-h...
https://edwin.genego.io/blog/lpa-studio
https://edwin.genego.io/blog/ai-branding
It's not something I am looking to commercialize, but I actually did drop out of film school (with semesters in creative storytelling) to pursue software 15 years ago. And I feel like this will open up a whole new way of visual storytelling as well as personal and product branding. I have gotten quite some emails about it, from interesting people in different industries, as some more strongly worded (not so nice) emails from someone in the VFX industry since I started. Its by far one of the most interesting tangents I have ever went on.
AgentOS is a lisp-machine inspired runtime where agents can safely propose, simulate, and apply changes to their own code, policies, and workflows, all under governance, with full audit trails. Every external action produces a signed receipt. Every state change is replayable from an event log.
One project is for building rhythm games in multiple game engines and multiple platforms. Currently, it works in Unity, Unreal, Godot, SDL (or any C++ game engine), and MonoGame (or any C# game engine), and runs on Windows, macOS, and Linux. I'm working on adding Love2d (or any Lua game engine) and Bevy (or any Rust game engine). I have a few local prototypes of it working in Unity and Godot, but nothing public yet. Still trying to figure out what kind of game I want to make with it.
https://github.com/neogeek/rhythm-game-utilities
The other is a general purpose game engine in C++ with SDL. It's far enough along that I'm building games in it, but it's more of an exploration into how games are made than a replacement for Unity or Godot. I suppose it could be eventually, but I'm trying to be realistic with what it can do. One thing I'm pretty happy with regarding this engine is that one of the demo repos will automatically build to WebGL and publish to itch.io when changes are pushed.
[1] https://m.facebook.com/groups/5251478676/permalink/101664026...
When people think about Civil 3D, they often assume it requires BIM modelers (in a sense, just glorified drafters) to create all the necessary catalogs and styles, and to assist with their use.
My Civil 3D plugin will:
1. Make standard, market-compliant catalogs and polished styles available to engineers at large. Think of it as the WordPress theme provider equivalent.
2. Make the entire process easy and painless through the plugin, with prominent buttons for quick access.
If the plugin is done well, there will be less need for BIM modelers, since for a fee, engineers could simply purchase catalogs and styles that are so easy to use they require no technical training.
As a side benefit, I also get to explore how LLMs can help me write code. It has been a while since I last updated my AI usage policy [0], and I look forward to revisiting it.
https://share.icloud.com/photos/00ajYWxKpZmYrh6KmlHOxW4tA
I was able to get the original 15khz CRT monitor up and running by recapping the board. I decided that the control panel was unsalvageable, and insufficient for what I wanted to do, which was make this cabinet compatible with most any game that would have run on a cab like this.
I decided to use RGB lit buttons, so I could change the color's depended on which game was loaded. I used an ESP-32s2 to emulate a keyboard, and accept serial messages from the host computer that changes the button colors.
I also incorporated a Stream Deck in the control panel for auxiliary functions. I was able to write a node application to run the stream deck (with the help of a library) since there is no OEM software for linux.
By far the most challenging part was getting a suitable signal to the CRT. The first thing I tried was using the Raspberry Pi's GPIO pins through a VGA666 board, but this limited my colors to 16bit, which makes 3d games look pretty awful.
Next I tried using a downscaler. This got me 24 bit color, but resolution switching doesn't work with this method.
I'm trying an AMD system now. Apparently the linux driver lets you set custom resolutions, and output 15khz (and 25khz for that matter) right from the VGA port.
I plan on doing a writeup after I near completion.
I am almost done with flappy bird (2nd challenge)
Why? I love the old arcade and game boy games, and I want to recreate them to my liking. I also love mechanical systems and space rovers, and I want ro build worlds to explore and simulate these things
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Backdoor: https://github.com/tanin47/backdoor
A self-hosted database querying and editing tool for you and your team. Modern and elegant UI. Supports Postgres and ClickHouse. It can be embedded into any JVM app or runs as a standalone.
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Embeddable Java Web Framework: https://github.com/tanin47/embeddable-java-web-framework
A lightweight production-ready Java web framework that comes with batteries (e.g Svelte, Tailwind, Github Actions, browser testing).
It is packaged into a single fat jar with no external dependencies. The starting size is 350KB. This is great for embedding into your larger JVM app or runs a lightweight website.
---
PlayFast: https://github.com/tanin47/playfast
An opinionated production-ready PlayFramework that comes with batteries (e.g Svelte, Tailwind, Github Actions, browser testing).
Open source, drop-in replacement and self-hosted alternative for Firebase
Using Node.js, Express.js, BetterAuth and PostgreSQL (JSONB)
I'm working on a man in the middle proxy for BGP, which can fix and inspect routing sessions on the fly. Like a firewall for the BGP control plane.
- Scan wine labels (it analyzes the label automatically)
- Add structured or unstructured tasting notes
- Create lists (shared or not) to keep wines organized
- View information about the regions/grapes
It's called Cork Club: https://corkclub.app/
Create video game sprites and animations via prompts.
Pretty excited because I've started to get high volume, repeat customers.
I open-sourced the RAG boilerplate I’ve been using for my own experiments with extensive docs on system design.
And I have bunch of LLM+RAG blogs I post frequently last 2 months : https://mburaksayici.com/blog
It's mostly for educational purposes, but why not make it bigger later on? Repo: https://github.com/mburaksayici/RAG-Boilerplate - Includes propositional + semantic and recursive overlap chunking, hybrid search on Qdrant (BM25 + dense), and optional LLM reranking. - Uses E5 embeddings as the default model for vector representations. - Has a query-enhancer agent built with CrewAI and a Celery-based ingestion flow for document processing. - Uses Redis (hot) + MongoDB (cold) for session handling and restoration. - Runs on FastAPI with a small Gradio UI to test retrieval and chat with the data. - Stack: FastAPI, Qdrant, Redis, MongoDB, Celery, CrewAI, Gradio, HuggingFace models, OpenAI. Blog : https://mburaksayici.com/blog/2025/11/13/a-rag-boilerplate.h...
You can have a look at https://simcarlo.com. The tool allows you to see the full spectrum of potential outcomes instead of just a single guess.
Once you sign up and connect your Google sheet, it generates a template (using AI) based on your data, which you can edit in a Notion-like editor. You can then generate PDFs for your entire sheet or a for a range of rows.
Some use cases I'm seeing:
* Certificates for students or course completions
* Monthly invoices for all your clients (https://sheetstopdf.com/use-cases/business/invoices)
* Personalized reports with individual client data
* Event tickets or conference badges
* Contracts, offer letters, or any personalized documents
* Really anything where you have rows of data that need to become individual PDFs
Would love to hear what you think or if you have use cases I haven't thought of yet!
I wanted something that would allow us to record members, games, etc., and also allow us to be assigned a local club rating. Anyway, after doing some searching and only finding paid software, I decided to just build something. That lead to https://openchessclub.org
You can check it out on GitHub: https://github.com/OpenChessClub/openchessclub.
I plan on building a QR code generator that allows club members to check-in during meetings, which will then allow players to be matched, and some other features, although it is primarily aimed at smaller chess clubs, so don't know how far it'll go.
Lately I’ve worked on a chat history based memory feature that can recall information from every conversation you’ve ever had with ChatGPT and Claude. It’s been particularly useful and also technically fun to implement. Speed has been very important as I do just in time summarisation and a multi stage RAG pipeline, and most LLMs have unacceptable performance. I ended up going with GPT-OSS on Groq due to its ultra low latency often completing full generations before Gemini or ChatGPT APIs return even the first token.
The ability to recall details from conversations going back years makes tasks where I want personalised plans or feedback like 10x more useful, at times I get the AI to ingest tens of thousands of tokens of context to help me better.
I built it because I work across multiple machines and often worry about which projects are on which computer or whether I’ve left any files in unique locations. Now I can diff the summaries between devices to see what’s out of sync, which repositories have uncommitted changes, and which folders have been modified.
I avoid using cloud sync services, and most of my files are already in git anyway. I find that having clear visibility is enough, I just need to know what to commit, push, pull, or sync manually.
I would be glad if it proves useful to someone besides me.
I am building better dev tools for firmware and PCB developers.
For example, we have GitHub Action workflows that allow you to push builds to the connected EmbedHub project. Your EmbedHub project has fine grained release management - so for example only the git tagged releases will be shared with the customer, but the testing/QA team will get access to builds from regular commits on branches as well.
I am also building a physical device (called HAL) similar to the now discontinued EtcherPro[1] - which will connect to your EmbedHub account and have access to your releases. This will let you offload tasks like long term testing, mass flashing and provisioning of devices, and more.
My backhand is OK but my forehand sucks. Grip styles for standard handles usually end up favoring one side or the other. I'm making a handle shape that's easier to get the blade angle right on both sides. Hopefully a couple more iterations on the 3D printer and then I can have a functional prototype made.
Early use case is replacing API keys with identity tokens that expire, delegate, and prove possession and then can be used for easy step up to fine-grained authorization. There's some pretty interesting authorization stuff you can do, like having multiple parties sign off before a token is valid or requiring a series of micro-services sign a token for it to be valid.
And the repo is here:
https://github.com/igor47/csheet
If you play DnD, I would love feedback! Feel free to leave it as GitHub issues or discussion.
If you don't play DnD, you might still find the repo interesting. It's hono on bun, I render jsx server side and client side is all htmx. I use vercel's ai toolkit for the LLM interactions, which are super fun and work really well. I think this is a great use for AI actually. I've structured the code so the same services can be called either by the user via forms and routes, or via LLM tool use, so for every action in the code you can do it via either LLM or "manually".
I think I got all of the important bits in place, now just working on improving the quality of life experience and bug hunting.
I have a lot of devlogs at https://www.slowrush.dev/news though at this point I am quite behind showing off the latest graphical improvements there.
Here is some more up-to-date gameplay footage: https://bsky.app/profile/slow-rush.bsky.social/post/3m523ft2...
It is a recipe app but better, and way more technically capable than anything out there. The goal is to make the best recipe app ever made. With bulletproof easy to follow recipes and smart features to make cooking simple. Everyone deserves good food at home, but good food is complicated and time consuming. An experienced cook can make good food quickly, cheaply and make it look easy. The idea is that Kastanj will have the knowledge you don’t so you can cook like a pro without having to spend years learning everything.
Backstory: I have a note where I write down practical problems I experience in life. I noticed over time that the amount of notes related to food and cooking was growing faster than anything else. I then began searching for a solution. I tried over 50 recipe apps, always the premium version if possible. There are some good apps out there but even the best ones only solved something like 50% of my issues. After enough frustration and search I just decided to start working on my own app. That was 4 years ago... It turns out that solving some of these problems where technically complicated to do, so now I understand why no other app could solve my problems. None the less, after 4 years of work, starting over from scratch 5 times, I have now landed on a solution that technically solves all my problems.
Going forward: Now I am working on filling the app with data and make it easy to use for normal humans. I am on purpose limiting myself to only perfecting the core functionality of what a recipe should be. I intend to launch sometime in 2026. The UI will be small and limited at first, but it is perfect for my needs. Therefore I hope it will also be perfect for someone else. Over time I will enable more advanced functionality and build it out based on user feedback. I know the backend can support 100% of my needs, but I don’t want to make it bloated. Therefore the UI is on purpose focused on only the most important things and then we will build it out with time, together with the recipe creators and end users.
https://play.google.com/store/apps/details?id=app.radarlove....
Just launched last month.
Most shoppers spend hours to find the rights product. We’re fixing that with intent-based search that understands descriptions, images and personal preferences.
We’ve hit 25K+ searches in 4 months, growing 50% MoM, and built our own scraping system that makes product data collection 100× cheaper than existing tools.
Still early, but live. Would love feedback on search quality and result relevance.
PS! There are some products out of stock, this is expected, fixing it right now.
1. hn comments are valuable, I've spent a lot of time going through hn comments. I think there are valuable comments buried in the threads with fewer points, so it's not enough to just read top3 threads.
2. Sometimes a good post is ignored due to a bad title, sometimes I still have no idea what the post's theme even after I read a few paragraphs.
3. I want to filter out some posts I'm not interested in, but I realized I need read some other posts it's not a simple yes/no problem, so I gave every post a interesting score based on my own preference
so I want a tool to save my time while not missing out too much on hn
- It's a personalized newsletter for you
- All data aggregated from sources around the web
- News, weather, newsletters, social media posts, reddit, youtube, etc. all appear in your digest.
- Launching a mobile app as well now but this will be slightly different than the web app. It will use AI to automatically prepare your daily digest based on preferences/settings you give it during onboarding. Each day when you wake up you'll receive a notification of digest being ready, and it will contain all the content you care about for the day ahead (meetings, weather, health data, commute data, news, etc).
Is there a cadence for these threads? I had in mind to "be prepared" to post in November's with what I'm working on, but I expected it to come around on the 15th (mid-month).
What I'm working on:
- skuilder - (skill builder) - https://github.com/patched-network/vue-skuilder - an AGPL framework / toolkit for SRS++ based interactive tutoring systems
- https://letterspractice.com - a low cost, hopefully high quality early literacy acquisition app, targeting ages 3-5.
- https://flutor.app - an app to learn the flute
(The proprietary apps are built with the toolkit).
I've struggled to pitch or articulate the vision here, but my latest pithy attempt is: scaling self-actualization by mechanizing the nested loops described by Anders Ericson's 'deliberate practice' - Inner loop: individual learners maximize their skill uptake velocity and performance peak by adhering to domain specific best practices - Outer loop: domain specific best practices get refined according to innovation or serendipitous discoveries from the inner loop (eg, someone is observed to beat out prior best practices)
As mentioned, I'm flat-foot posting here, so the pages aren't all prepped. https://flutor.app/dbg and https://letterspractice.com/dbg show some of the innards. Not linked, but I'm especially fond of https://letterspractice.com/dbg/juggling - the premise here that as child practices the letters, the letters exemplify the principles of effective practice in alliterative skill domains (juggling Js, batting Bs, flossing Fs (it's hard ok?))
I recently added FSRS (besides also having Anki integration). Now I'm working on replacing the need for reviewing flashcards by having reading activity automatically mark flashcards (current and future) as reviewed, so that you can get many of your reviews in just by reading native materials that interest you instead of sacrificing most of your study time to contextless flashcard grind.
I'm also working on a manga mode using a new manga OCR tech I have licensed out of academia that is ahead of state of the art alternatives.
This project now sustains my full-time focus.
https://chromewebstore.google.com/detail/console-dock/biplbp...
==> Here is a photo of the Editor : https://ibb.co/FC9Hzj2
==> website with an example of a FPS visit https://free-visit.net
Please be honest, tell me why I don't have traction.
First use case is hello@ email addresses for fellow founders. Free for founders!
Because of the well bound nature of the problem space, we are able to unlock a lot of power from LLMs and put together a good end-to-end product that delivers the promise.
Still early days. I know there are lot of folks who care about a11y. I would love to chat and learn from your experience.
I've spent several years since Covid times solo-developing an ad-free website with 50+ solitaire/puzzle games.
I've gathered some feedback from users from HN already and now trying to fix things.
I'm looking to genuinely improve the experience so would be incredibly grateful for any feedback. I'm also wondering what it lacks – any particular games or modes?
- I will not consider it feature-complete
- It might be a waste of time if the performance isn't what I imagined
Basically, I have a pain point with pytest being a bit slow. Nim and Rust (and other languages) have ways to transpile Python code into the other language. I know some Rust tools to run the tests, but they have some differences from pytest.
My idea is to have a runner that transpiles the code to either Nim or Rust, compiles it, and runs the compiled tests. Test discovery for sure would improve, but I have no idea at all if the compile + run time would be smaller than just running pytest normally. There are a lot of challenges in this project, so I'll probably use it to learn another language and some new skills, instead of building something aiming to be usable out there.
I wanted fast search and filters for my Evernote archive so I could drill down and surface exactly what I was looking for.
There's also a Web Clipper extension for Chrome.
Demos:
Search and curation: https://www.youtube.com/watch?v=z4QSIoUL4Uk
Web Clipper: https://www.youtube.com/watch?v=8F7QoC7X3fs
Search inside PDFs (jumps to page + highlights snippet): https://www.youtube.com/watch?v=t0X9sD-938Q
It's free while in beta, would love feedback if you try it.
1. Find and match with the right investors automatically 2. Personalize and automate outreach campaigns 3. Track investor responses and manage your fundraising pipeline in one place
The goal isn’t to replace the hustle, just to remove the repetitive parts so founders can focus on building relationships.
Would love honest feedback from fellow founders and investors here:
Does this solve a real pain point for you?
What feels missing or unnecessary?
How do you currently manage investor outreach today?
There is a PowerToy thingy that's similar but it's full of options and command-line flags. My version has no options, it's just a tray utility that can be toggled on (green) or off (orange) with double-click. There are also physical mouse jigglers but they're cumbersome, and many have visible mouse movements, which is extremely annoying (not all of them do this but many do!)
The full install file is just 100Kb, works on all versions of Windows starting with Win7, installs without admin rights. Can't live without it!
I need to make a website for it but I'm procrastinating on that one last step...
Here's a demo / trailer that shows it off:
https://www.youtube.com/watch?v=NNHSTfWbkaA
If you're into movies or filmmaking, it's a fantastic AI tool for consistent, fully-intentional scenes with deliberate set and actor blocking.
It's also the cheapest model aggregator service out there. You can log into every AI image and video provider directly and don't have to pay me anything to use the tool. You can use your Sora account, Midjourney account, Grok account, etc. It'll soon let you log into other aggregators like OpenArt, plug in your FAL API key, etc. so you can use your credits/funds wherever they happen to live.
Unlike the other "model aggregator" websites like Higgsfield, this is a desktop app written in Rust that you can keep. It also has highly intentional 2D and 3D design surfaces especially built for design.
Text prompting sucks for artists and designers, so I'm trying to put image and video design onto canvases that you can intuitively mold like clay.
Here are some short films made with ArtCraft:
https://www.youtube.com/watch?v=H4NFXGMuwpY
https://www.youtube.com/watch?v=tAAiiKteM-U
https://www.youtube.com/watch?v=SuVW8l-_O3I
Would love to hear feedback if anyone tries it out.
https://news.ycombinator.com/submitted?id=whoishiring
Edit: oops nevermind it's a goner.
The problem: Every time you switch between Cursor, Claude, ChatGPT, your AI forgets everything. You spend half your time rebuilding context instead of coding.
RecallBricks automatically captures context from your coding sessions and makes it available across all AI tools via semantic search. Works with Cursor, Claude Code, Continue.dev, GitHub Copilot, or any LLM.
Built the entire stack with Claude Code (meta, I know). Gas utility worker who taught myself to code, now shipping production infrastructure. Currently in private beta, launching publicly in a few weeks.
Tech stack: Render API, Supabase (Postgres + pgvector), Python/TypeScript SDKs, VS Code extension, MCP connector.
Would love feedback - especially from folks juggling multiple AI coding assistants.
Scuba divers use computers to tell them when to make stops during ascent to prevent decompression illness. Many recent computers implement Bühlmann's decompression algorithm with "Gradient Factors".
Gradient Factors are 2 free parameters that control the "safety" margin of the dive. It's not obvious what values to choose, especially for novice divers.
My app explains what they are and shows their impact on the computed dive plan.
Things like, “get xyz a birthday gift”, and it finds the contact and sets the reminder for a few weeks before the birthday.
The source data is calendar and contact info, but the nice thing about local models is that no data gets sent to providers, and the app can be cheap
The usual approach to coding tasks doesn’t work anymore - companies are looking for AI engineers, yet it’s still unclear how to assess AI proficiency.
Our goal is to design challenges that combine prompting + coding, allowing us to score both how well a candidate prompts and how good the resulting code is. The aim is to bring measurement to AI prompting skills - how well-aligned prompts are and how candidates handle LLM-generated code.
At the same time, we want to keep a strong human balance in the process: hiring is a two-way street, and screening shouldn’t be fully offloaded to AI. We’re human-first.
Several tasks are already live - you can try them here: https://valuate.dev
Cupcake is a governance/policy-enforcement layer for agents. Its innovation is binding OPA/rego to agent runtimes (via hooks).
I do not believe we will every strictly rely on "better" models in the wild without deterministic guarantees or ways for enterprises to factor in their own alignment - system prompts dont cut it.
https://github.com/eqtylab/cupcake
Stay tuned for the formal release here in a couple of weeks.
[1] https://github.com/anthropics/claude-code/issues/712
Cupcake GitHub: https://github.com/eqtylab/cupcake
My other project is https://eggexplorer.com This is a site I wish I had when building out my flock of chickens. It allows you to see the different characteristics of chickens and which hatcheries sell each different breed. You can also see which hatcheries sell hatching eggs for each breed as well.
A lightweight infographic generator (Gemini API → structured layout → export to PDF).
An AI marketing content tool that takes a topic and outputs research + themed HTML + a printable PDF.
Cleaning up the docs/structure for Schema Scanner, an open-source tool that scans websites and generates Schema.org markup.
Exploring a simple AI search visibility tracker to see how often a brand shows up in ChatGPT / Perplexity / Gemini responses.
Still early, mostly building to understand what’s useful vs. noise, but the patterns have been interesting.
Of relevance - my review of Code Complete: https://www.youtube.com/watch?v=QlY0EGWp7rw
- Local-first app for comparing hardware builds, down to the individual component feature level: specs, benchmarks, even cpu extension support, lanes, how many speakers in X laptop, dolby atmos? screen panel manufacturer(s), etc. Basically, no-nonsense real product comparison for transparent and fast decisions.
A lot of cybersecurity attacks happen because of stolen credentials. One big example is the supply chain attack, Shai Hulud. In a lot of enterprises, credential sprawl is a huge issue and figuring out who (people, services, ai agents) has access to to what systems is a paramount task.
At https://gearsec.io, we are building a platform where accesses are created via policies. The result is that, the enterprise doesnt deal with credentials anymore. They only need to define policies and nothing more.
I would love to know if you faced this problem and how are you solving them at your workplace!
I have worked as dev in many different constellations of the years, and seen many teams choose between bad options like delay feature launches for manual translations, ship incomplete translations and promise "we'll translate it later," or lately use ChatGPT/LLMs that lose consistency/context and require coordination.
Localhero starts from the premise that translations are part of CI. New strings get translated automatically in GitHub Actions, with glossaries and style guides so it sounds like your product and not generic AI output.
Goal is to help product teams ship localized features without all the coordination/delay.
https://donethat.ai Passively processing screenshots is obviously pretty sensitive, it has an option to bring your own (local or remote) LLM, otherwise I process with gemini and never store any data.
It's in beta right now so if you want to try it you have to enable "proactive chat" in settings.
I also made a list of similar tools out there: https://donethat.ai/compare
There's an agent monitor which intercepts requests either using a LLM proxy or hooks, that gives you full telemetry into the agents + MCPs used. And a MCP gateway that enables centralized deployment and securing of MCP.
github link: https://github.com/cgranier/tabSidian
Links to all the browser extension stores on github.
It's called Stagehand (https://github.com/browserbase/stagehand) and we just released v3, which is a total rewrite.
Market is brutal though man. She hasnt gotten an offer after so much trying
There’s a companion website: https://iwillnotdrinkwithyoutoday.com
I wrote the book in markdown, stuck it in a SQLite DB and wrote a parser to put all the data in static JSON so it loads very fast.
I also created a new personal homepage to update my presence on the web as a published author and experienced leader and technologist: https://davidbyrondrake.com
Book was released less than a month ago—growing it organically like a startup has been fascinating in terms of marketing, sharing, building, and measuring success.
Have been utilizing my acting skills again with readings from the book on my Instagram and TikTok.
Having a really good time with it!
I also created and maintain a Russian "newspeak" dictionary: https://github.com/alamzin/az/
I work as a civil engineer in the mining industry and it can be troublesome to download satellite imagery for a particular date and cloud index. Yes, Google Earth Engine and QGIS plugins exist, but they are slow and confusing to jump back into after a period of time. SatelliteMine is simple to use and any images of your area of interest is saved to your account and can be downloaded as a geotiff.
Currently free to use with a cloud storage capped at 512MB per account. Paid plans for greater storage requirements will be provided if the demand is there. Any feedback is welcomed :)
This week we're building out the UX around formatting and this month we're building a more robust set of integration tests and integrating with a large industry platform.
The goal is to bridge crypptocurrencies and local mobile wallets to make crypto useful in everyday life — not just for trading, but also for online payments.
A few key features:
Mobile money integration (MTN, Moov, Orange, etc.)
Instant buy/sell of USDT, USDC, ETH, and other assets
Crypto payment gateway — businesses can now accept stablecoin payments directly on their websites
I’m currently focused on improving liquidity and expanding to more countries.
Would love feedback from the community — especially around :
- Liquidity and Marketing to find the first users.
Happy to share more details or collaborate with anyone working on similar problems.
Website : https://ciexchange.xyz/
It sounds silly but Taiwan really is this convenient - you often can see 2-3 stores from one spot. Here[2] one route where you can actually link 7 convenience stores in a row! Now trying to make maps look a bit nicer with mapbox.
[1] https://craftmygame.com/game/convenience-store-marathon
[2] https://craftmygame.com/game/convenience-store-marathon/rout...
Test system uses ADCs, DACs and a DDS to produce a sine wave that simulates wheel speed.
I would rather be fishing.
The idea being able to compare measurements to see what mastering you're really getting - because they are NOT all equal. With the remasters and stealth replacements on streaming, it seems like every other month I wake up one day and my favorite music sounds worse (or is gone...). Now I can measure it and help find what versions I really want to collect!
I may end up trying to make a fingerprint database/tool that sits in between MusicBrainz and Discogs. That way hopefully the community can standardize and quantify some of this info that only lives ad hoc in Steve Hoffman forum threads or partially on sites like https://dr.loudness-war.info
A pulse of your team's mood and well-being.
Simple, voluntary, anonymous, daily feedback on stress, happiness and productivity.
With anonymous reports with gauges and trends. Spot trends early.
Here's Hirevire’s #buildinpublic stats for October 2025!
$7,275 MRR (+13.74% MoM ▲)
3.2 years since launch
8.9K unique visitors, 2.5K from Organic Search
But now with travel and visa guides to help remote workers become productive in Japan and South Korea ASAP and give them visa guidance if they want to stay a bit longer.
(1) For one product I am working, I have been working on a custom reporting language for producing high quality PDFs. I used hy.py as a basis to make it LISP-like.
(2) I need to make a Django postgres site that I am running more reliable. Earlier I was experimenting with making static HTML renderings of the pages. That is certainly nice, but it took several hours to reproduce the site. I am currently prototyping making read-only replica of the database in SQLite (the database is only 1 MB) and hosting it on CDN, and then pulling that for the read-only replicas. The database export takes only some seconds.
(3) I vibe coded a iOS app using that same SQLite database that fetches it from the same location. It was surprisingly simple. It seems much simpler than using Flutter or React native.
I also wrote a longer technical post on the maths behind it: https://medium.com/p/292c755a6ceb.
I think there's a lot of potential for AI to improve the way we organize and manage our inboxes, while still letting us keep control over it.
What I've learned is that there are a lot of little features that make up a good email client that you may not even think about when using one, like threading, quote blocks, even what email address(es) to autofill when you reply to an email. For an app you use potentially for hours a day, the polish and "last 20%" makes a huge difference - and takes a while to build!
If you have any feedback, especially on what features are most important to you in an email app, I'd love to hear it :)
Works only on chromium based browser as it directly writes into files on disk to not loose data. Sry
I’d like to add importing from a Pinterest account and continue adding support for all the creative implementations of the schema.org recipe format that different sites use.
[0] My partner has a bunch of handwritten family recipes, so I’m trying out an optional extract from a photo of a hand written or magazine recipe that uses AI. Not required and I may pull it out into its own service that spits out schema.org recipes. We’ll see.
Music player that can organize album collections from different services like Spotify, Apple Music and Bandcamp, Discogs, and show detailed and high quality information that can be searched and filtered.
Current features include:
- Live material price list updated monthly (based on prices at local shops)
- Conceptual 2D/3D floor plan generation following Ghana Building Standards (development in several phases using procedural floor plan generation)
- Construction management dashboard to track project stages and conversations between project manager, mason, carpenter, etc.
- Printable material cost breakdown
TODO: A contact listing for local construction services
I would love to have feedback, thanks.
I was tired of repeat, sponsored, and "safe" music suggestions from Spotify, so I built a discovery engine that puts the control back in the user's hands.
The core idea is simple: You define a "Discovery Model" with explicit constraints (specific genres, release years, track popularity, etc.). The app then uses this blueprint to source tracks.
The results are fresh for two reasons:
- "Known" Track filtering: Excludes all songs saved in your library and recent listening history.
- Active Curation: Uses your custom model, not a vague, opaque algorithm.
It’s built with a local-first mentality and a focus on privacy. No black-box AI "vibe" mixes, just pure, objective discovery based on your criteria.
Hope ya'll find some new gems!
Honestly struggling with whether it's solving a real problem though. The detailed tracking with quantities and calories feels like too much friction.
Would love to hear if anyone actually tracks their meal habits and what works for them.
Hoping to actually take this one to something polished as opposed to the many half-finished prototypes littering my git repo over the years. I've discovered (always knew?) that heavily cutting scope is the best way, and been successful thus far.
It gets pretty boring/unbalanced by ~150 turns, but I have some ideas on how to fix. I'm still playing with ways to help de-clutter the board and make use of the economy aspects.
After some false starts with ai-gen art, I had fun learning to color the pixels myself. The process wasn't as scary as I'd thought and the results are better than I hoped.
https://tower3.dreamofninjas.com/
Inspired by TripleTown from the wonderful studio Spry Fox.
I'm happy where it's landing so far but also appreciate any actionable feedback to make it better (!). Under the hood, it packs a Rust Axum API, plenty of ffmpeg, and some hobo infrastructure [2] here and there.
[1] - https://nid.nogg.dev
https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.
https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.
https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".
The goal is lightweight, composable tools with clean interfaces that respect user agency and privacy, provide technical clarity, and make you a better photographer by encouraging mastery over your tools and offering new ways to approach picture making. Also broadly honoring the (almost) 2 century old history of the craft and drawing inspiration from pre-digital processes and approaches.
Got a number of updates to existing apps and new ones in the works, I’m excited for the full long term vision I have that I plan to sum up in an essay at some point.
Currently Apple platforms only but the plan is also to break out of that down the line.
Transform and move data between any format or database instantly. No dependencies, no config files, just one command.
You need to know "does this guy look hurt"? The enemy HP bar can be set to either an actual percentage, or set to have cracks in the bar to signify a range of damage. Does only person take notes? Personal notes are shareable and there's a section for community notes. Do you have enough perception to notice a hidden door? The UI can be set to go off passive perception and give you those notifications automatically.
It's still in early alpha testing with friends, but it should eliminate general GM pain points to encourage more groups to form.
Currently working on a website that lets you add any form of troll CAPTCHA to your website or allows you to create a redirection with shortened link.
It is a fun project and oh boy I really enjoy solving CAPTCHAs on random websites.
Think n8n, but you bring your own code and optionally even your hardware to execute pipelines.
Free on iOS + iPad + macOS (Catalyst), and I'm working on adding additional skins, premium features, and Android soon! :)
The game has a farily simple frontend, but there is a fairly complex constraint solving algorithm as part of the puzzle making process. What makes the puzzle quite unique is that you can't "guess". You can only make guesses that are provable by logic. The algorithm ensuring this has worked flawlessly for months now (though I've manually inserted some silly mistakes once or twice).
Today's puzzle is one of the hardest to date. The difficulty resets on Mondays, and then gets harder again towards Sunday.
It's an instant remote control built for shared spaces. Anyone can use the remote with a QR code on their mobile device. Since its IoT there are lots of interesting features including permissions, various remote interfaces, universal remote capabilities and more.
These cards are super versatile prompts mediums and haven't been fully creatively explored.
Cheating in exams has quietly become a global industry — from small university tests to national certifications and professional licensing.
We’re building https://trustexam.ai that protect the integrity of high-stakes exams and certifications — from universities to government licensing and professional testing.
Our focus now is on scaling this globally and using ethical “white-hat” research to understand how people cheat and how technology can rebuild trust in digital assessments. What’s the best way to make that impact worldwide?
There’s so much nuance in HN threads that often gets missed elsewhere, so I decided to put start this newsletter.
Initially started as an experiment for 10 issues to see ig it gets traction, 6 issues in it’s at 68 subs and probably will continue for unlimited time period.
Link to the latest issue: https://eomail4.com/web-version?p=01b6f55e-bb2d-11f0-bcb3-f3...
Link to subsscribe: https://hnxai.eo.page/9h7q4
It lets you turn any article, YouTube video, or PDF into summaries, mindmaps, podcasts, chat conversations or infographics that match how you learn with just one click.
We just launched this week the Chrome extension so you can do all this in one click on any page, no login needed (with generous freemium usage).
https://unrav.io https://chromewebstore.google.com/detail/unravio/mbnapibcjcf...
Would love feedback from fellow builders.
https://terminalwire.com streams a TUI/CLI from web apps without having to build an API and
I recently finished 45 videos at https://beautifulruby.com/phlex, so now I’m talking more about them and
Updating https://sitepress.cc to work with Rails 8.1 and thinking about another set of videos for it at https://beautifulruby.com/sitepress.
As a second-time founder, I've watched the SaaS boom create an ocean of best-of-breed tools. Each solving one slice of the problem. One solving it end-to-end.
Now every company runs on a patchwork of apps, APIs, and workflow hacks just to keep customer context alive. It's insane how normalized that's become.
RootCX starts from the opposite premise: the customer is the core, not the app. Everything: CRM, support, billing, workflows, AI, ... plugs into one shared customer base. Less juggling tools, more actually running the business.
Think Google Analytics + Posthog designed for crypto users and apps!
I've learned a lot about data engineering and analytics in the past year.
And we are now recruiting our first group of seed users. If you're excited to shape the future of design and be among the first to try neospark, please visit our homepage and join the wishlist through https://useneospark.com/
We'll send you an exclusive invitation the moment our MVP is live.
And also building as a hobbie a procedural universe generation engine that simulates galaxies, solar systems and planets in real-time. Everything is generated from a seed with actual orbital physics, seasonal changes and so... Built with Python/Flask backend too but Three.js for 3D visualization and React instead of Vue3 as in the prior one. Think No Man's Sky vibes but as an explorable simulation engine really D:
Mixing and matching watches with different straps is something that I really enjoy doing. It's not often easy to tell ahead of time whether the combination will work.
The main idea is to gather tech articles in one place and process them with a LLM — categorize them, generate summaries, and try experimental features like annotations, questions, etc.
I hope this service might be useful to others as well. You can sign up with github account to submit your articles as well. I would appreciate any feedback.
Instead of sending the page's HTML to an LLM, Hikugen asks it to generate python code to fetch the data and enforces the generated data conforms to a Pydantic schema defined by the user. I'm using this to power yomu (https://github.com/goncharom/yomu), a personal email newsletter built from arbitrary websites.
1: https://github.com/google/leveldb
Here’s what I plan to add that other tools don’t have:
- Super smooth Anki integration — saves words/sentences with full video context, native audio, screenshots, etc.
- A structured way to improve step by step.
- Real dictionaries for each language (as long as I can afford them ), not just AI translations.
What I’ve built so far:
- Word meanings in real context
- Real-time subtitle translation
- Auto detection of common collocations
- Target languages: English/Spanish/French/German/Japanese/Korean/Chinese. Native languages: English and Chinese.
If you also like learning languages through videos or podcast/audiobook, I’d love your feedback and ideas!
The work is mysterious but important.
A non-bloated HTML, CSS and pure Vanilla JS framework to create dashboards.
A cross-platform JSONL viewer where I am learning ImGUI. Haven’t found any other open source GUI framework that‘s small, provides out of the box components for tables, sorting
It will allow users to fully manage their calendar in a Gantt chart. Complete with customizations like dependencies between events, custom colors for time blocks and custom icons for single-day events (“milestone”-like).
Ganttify is a Gantt chart add-on for web applications or services that can benefit from a Gantt view. My goal is to expand the number of integrations for Ganttify and release a new integration every month or so. If any of you have an interesting (niche or non-niche) idea to integrate Ganttify with feel free to contact me.
Tweaking the piezoelectric driver PCB design for the micro-positing microscopy stage project. The Nanomotion piezoelectric motors were not meant to be used in the manner I chose, but it is fun to push the limits of technology.
Finishing up some custom 1U mounted hardware, and getting a batch of test PCB soon. Bend radius came back 1mm oversize, but this was acceptable for a single run item.
Also involved in several other projects maybe 3 people would care about. Doing a custom FPGA PCB is not very fun unless encountering that rare class of problem CPU/MCU simply can't handle cleanly. =3
Fran here. I'm building a niche tool for designers and architects to create AI renderings in seconds with no prompting skills, no ComfyUI installs, no chasing the latest Nano-Banana, Flux, or any other GenAI image model. I called it RenderAI. Want to make it simple and fast.
We already have thousands of users, which confirms there is a real need. Still, I’d love to get honest feedback. How can we stand out? Feel free to be blunt.
Check out https://RenderAI.app if you’re curious.
I've been running it for over a year, but now I have fixed it up and made a little landing page to see if there's interest for a stupid-simple price watch service like this (no need to install an extension or create an account):
It's currently just a "maze" type game where you have to get to a goal square in the minimum number of moves (there are rocks placed on the board to act as obstacles)
I'm in the process of making some very simple games like battling knights where they leave poo and you try to trap your opponent.
Fun making it even if it's just the two of us who'll enjoy it :). Partly I wanted her to learn that you can create for the internet not just consume...
Would love to hear your feedback if you try it out!
Here's the github repository: https://github.com/aabiji/logbuddy
https://poker-study.onrender.com/
I really like the range memorization tool from GTO Wizard, but want to be able to put in custom/arbitrary ranges to test. I also want to be able to import and simplify ranges from other sites. Work in progress, but every scenario is url encoded (warning: subject to future breaking changes) and I use those urls in for links in my Anki decks.
We offer both a hosted version (https://oncallburnout.com/) and a self-hosted one (https://github.com/Rootly-AI-Labs/On-Call-Burnout-Detector).
We focus on making it as fast as possible, integrated into CI, MCP for local dev, and support both an autonomous (we call it discovery) and guided test creation approach.
We believe that in the era of vibe-coding, quality is key, as we are lazer focus on building a solution that scales with your product, and removes the burden of QA from your team.
Technically, we built an in-house engine that is in charge of generating the tests, that speeds up and gets better the more you use it.
the service is a suite of online vetting and due diligence tools for website flippers, Fb marketplace sellers/buyers and Tiktok shoppers
The domain has an interesting backstory. I acquired if it n 2022 from Epik after they stole the $10,000 I had deposited into their Escrow service. The money was meant for acquiring a newish stable diffusion hosting website that was competing with civit.ai. When the Epik issue was discovered, the seller pulled out.
Acquiring that website could have changed my life.
It's going fairly well, I'm more or less as feature complete as I want to be. I might do something addon-like at some point to make scaffolding apps with shadcn, tailwind, prisma and friends a single command. Like shadcn does with components.
Feedback welcome!
Building this documentation website using Docusaurus. This is my first time using Docusaurus, and it feels like a very nice tool for quickly developing a documentation website.
[1]: https://hns-cli.dev/
I am pretty sure I can get 70% predation rates +/- 10% . Unfortunately, I'm blocked by the lack of hardware. Kind of not-quite school affiliated (so I cannot really ask for national computing resources), so I am trying to build a single threaripper pro node on my own. Hurts the wallet, but if added to slurm as module, this can have implications.
I've been posting a bit on https://www.reddit.com/r/BlossomIdleGarden. I plan on opening up a beta later this week.
The real goal is to figure out how to use code gen AI (Cursor) effectively for data science projects and to figure out rapid deployment. I'm pushing things a bit harder than you typically see in demo apps (e.g. different chart types (e.g. violin plots, heatmaps, line charts), interactive charts, JavaScript widgets interacting with Bokeh charts, etc).
I'm trying to figure out all the skills, processes, and training you need to build a technical app very quickly. I'm at the deployment stage now.
It mimics the official USCIS forms but autosaves locally, validates inputs, and lets you download a ready-to-submit PDF - no signup, no uploads, no tracking.
It’s meant for travelers and immigrants who just need to fill a form once, and as a side effect, it’s become a great acquisition funnel for my paid B2B product, VisaSimplify, which helps immigration lawyers automate client intake and PDF mapping.
https://github.com/homecluster-dev/homelab-autoscaler
https://autoscaler.homecluster.dev
Works with any mechanism to turn on and off nodes(IPMI, WoL...) I have some nodes that I turn on and off via a curl to homeassistant to the power plug.
Been posting some screenshots to my feed, if you want to see what it currently looks like: https://bsky.app/profile/cameronbanga.com
Have about 100 spots left on my current TestFlight if anyone is interested: https://testflight.apple.com/join/RRvk14ks
You create a writing style via existing text examples, blog posts or URLs, and Arcitext extracts a "writing fingerprint" which it benchmarks new text against.
There's a solid Markdown Editor with tools such as Tone Fit, Rewrite suggestions and Fact Check, which helps you when you need it.
Kind of like having a writing coach and content strategist on speed dial.
I have exercises:
- on turtle, using my DSL with three commands: 4[100 r90] draws a square
- on robot (blockly)
- a 2D replica of Replicube to teach conditions in JS.
I've started vibe-coding it two months ago and I add new stuff whenever I need it for my classroom.
I'll soon add signups.
The platform will be free forever, monetized via banner ads somewhere in the future. The target audience is middle school teachers of CS.
It handles the complexities of parsing OpenAPI and rendering output code, while providing the end user with full control over generator code via string templates.
Imagine something like React but for code generation where each code generator can compose its own output using the outputs of other generators.
Also building a CMS and static site generator that runs entirely client side in the browser. Pick themes, model content an publish to clean HTML. It also makes content available beyond just the browser, eg in a command line TUI.
Thanks to ChatGPT, my productivity went through the roof this year, and I finally shipped an MVP that might actually be useful.
It’s a standard Django + React + AWS stack. My raison d’être is to build an Apple Watch app that tracks match scores in real time. 2026 hopefully.
Today, I am implementing tag-triggered webhooks so they can get triggered based on the tags assigned to messages.
Use case: for example, I want to auto-tweet all my advice messages and auto-create linear tasks for `company` todos, auto-start a cursor agent when I tag messages with `Cursor task`
For some reason, I got 16 users out of nowhere, so I added a landing page last week. The connector marketplace is next, so that I can share these sub-connectors with the other users. Need a couple more weekends.
OAuth is here to stay for major email providers (Outlook, Gmail, etc). Microsoft is dropping support for standard/basic authorization in April 2026, and Google has already done this. But plenty of devices and systems don't (and may never) support OAuth.
Auth-Email is a relay that lets you continue using traditional email auth methods even when your provider requires OAuth. Lots of other more advanced features too: all OAuth grant types, add-ins to modify behavior and lots more.
This version is a rewrite of an earlier one and I've added some cool convenience features like "now playing" and musicbrainz integration for remembering songs.
Spec, flow and most of the UI are done. I've managed to build an Android App yesterday and will publish source soon.
It looks simple, but I learned a lot building this site:
* To calculate age in planetary years, I had to look up their orbit and rotation info
* The lunisolar calendar took me quite some time to figure out (it is not the same as a lunar calendar and even changes by country)
* Adding the dog and cat age equivalents even led me to cubic splines
Link to the site: https://ageequivalent.com/
It started when a friend who runs a studio showed me her system: printed calendars, WhatsApp messages from clients at midnight, and sticky notes for who paid. I'm trying to make something quieter. It should feel like an assistant, not another tool to manage.
An open-source, local database which collects all your personal data, hooks it to an LLM (BYO), and gives you an assistant that can answer any question about your life.
It also allows you to vibe-code (or just code) small apps on top of your data (e.g., your custom dashboard for your expenses).
I have a short demo here: https://www.youtube.com/watch?v=gqAyvENDjSA
entirely self service, without needing EHR integrations
able to persist and reuse the user's writing style, without actually saving any of the notes
HIPAA compliant (obviously)
Website => https://vididoo.vercel.app/ Github => https://github.com/btahir/vididoo
Has 90% test coverage, makes use of web platform tests to verify compatibility, and is in use by some larger companies already with the Navigation API soon to become a baseline in evergreen browsers.
The Navigation API effectively is async state navigations. The likes of React has recently added Navigation API support to make use of the browser reload indicator.
https://github.com/virtualstate/navigation
Along with working on a startup day to day :)
No complex setup – drop in a script, keep your existing stack
Auto-generates variants for hero, copy, CTAs, and social proof
Continuously tests and routes traffic to the best-performing variants
Optimized for key pages (pricing, signup, product, checkout)
Reports focused on conversion & revenue lift, not just clicks
Would love feedback, tear-downs, or ideas for must-have features before you’d trust this on your main pages.
PS: Deeper ad→page→revenue attribution + personalization by segment coming soon.
There have been a few astrology apps, but all require you to connect with an astrologer or a pandit. This market has been in past and today, a market of exploitation for the innocent.
So, I built this app to let people read their birth chart with detailed analysis, without any such thugs. There are a few very talented experts, but they are either very expensive or difficult to find. So, it came out of necessity.
I would love your feedback on trying it out and letting me know your thoughts.
Cheers
- Transcribe voice to text (especially useful when you need to explain something to Claude code )
- (soon) select text to instantly Check grammar / Improve writing / change tone of text
- (soon) select text to Translate between languages
I discovered that I have a few 10/20$ subscriptions (grammarly, raycast, wisperflow) that do embarrassingly simple stuff I can one shot with cheap SLM. So I decided to build a one app specialized in small repetitive tasks on computer.
An Intent is a self-contained document that describes a user request. It is composed of three main sections: WHY (the motivation), WHAT (the requirements, often in Gherkin language), and HOW (a detailed, step-by-step implementation plan defined with tasks). This approach ensures clarity and alignment before any code is written.
You take a selfie, pick document type (China Visa online, Green Card lottery, etc) and the tool knows what size it should be, head height, shoulders position and other requirements. AI is used to detect head position, emotions, objects and other details to provide better recommendations
Check it out and let me know what you think: https://ishotaphoto.com
Most (meta)science discussion is either fragmented on Twitter/Bsky, or a bit too formal. I thought a centralised place for deeper, casual discussions might be helpful, so I'm testing that theory.
Launched a few days ago, so it might have some rough edges. I'm considering making it user-invite-only soon, but for now it's fully open for signup. I'll also move it to its own domain once I think of a better name.
When someone tries to hack your app, it detects them and serves up fake responses designed to make them think they're getting somewhere.
The system learns from attackers behavior and serves ai generated decoys to waste their time and frustrate their efforts.
It's basically a trap that gets smarter the more attackers poke at it.
MVP version at https://github.com/0tSystemsPublicRepos/IfritProxy
Also learning Zig. Would be cool (but a huge effort) to port Delphi’s VCL or Lazarus’s LCL to Zig and create a RAD environment.
I have looked for an app that could give me exactly this for a long time but i couldn't find one i liked, so i made my own.
https://nauu.app - link to appstore inside
Let me know what you think! I would love some feedback!
DuckDB for stream processing:
https://github.com/turbolytics/sql-flow
Lightweight kafka stream processing using DuckDB as the execution engine. 300MiB runtime can easily handle thousands of messages / second.
Working on a Kafka Connect alternative:
https://github.com/turbolytics/librarian
Right now mongo replication (through changestreams) is supported to kafka. Working on Postgres support right now.
Tracking windows on Wayland is hard because the protocol doesn't support it. I hacked together a script using Claude Code that somehow works, but I barely understand how.
https://github.com/alganet/PHL
---
Bootstrapping from an x86 image that is mostly source text (based on live-bootstrap):
https://github.com/alganet/abuild
---
Image with many shells, for testing script for portability:
Right now my app allows users to export build metadata as JSON which can be interpreted by LLMs for analysis, but I'd like to have this work on-device.
Create a script for a product demo or tutorial for your app using an extension. The script is used to generate your product content in multiple formats (narrated video, interactive demo, looping animation, and in-app guide). Whenever your product changes, just update the script and regenerate everything. No manual re-recording of video, syncing of audio, or any other post-production steps.
https://github.com/htin1/toktop
I use codex and claude code daily, also build apps with openai and anthropic api keys, so i always go to openai dashboard and anthropic dashboard to track my usage. Since I spend most of times inside cursor or terminal, I wanted to quickly check my usage without leaving my terminal/ide, so i built this!
It's open-source, MIT, and built with ratatui (awesome name).
It's starting off as a MacOS app because that's the machine I have. I didn't know Swift or SwiftUI when I started. I now know them somewhat, but the entire app has been vibe-coded. This has made it slow going. Very "1 step forward 2 steps back" until I switched from Claude Code to Codex and GPT-5.
I'm hoping to start an initial beta within the family in the next week or two, and then a wider round in January.
After a 2-minute voice conversation, Sage generates a personalized 6-module roadmap with build-first projects. It checks in by voice, analyzes your reflections, and regenerates your plan if needed. You can invite friends to your Support Squad for accountability.
The biggest insight so far is people don’t want “infinite content.” They want structure and someone who remembers them.
would love feedback!
Future-proofed and will work on AI spam in the future too, unlike current spam filtering methods.
[1] - https://highlights.email
I'm involved in 3 projects that are solving this problem from different angles:
https://www.youtube.com/watch?v=ldJTjwhqKy4
Currently popular AI chat interfaces feel restrictive when exploring or learning complex concepts/ideas. I often want to revisit earlier parts of a conversation, ask branching follow up questions, connect related concepts, compare and contrast between various chain of thoughts. This UI exploration aims to solve some of these limitations.
I used it with my first child, and it helped me greatly. After releasing the support has been amazing and I recently passed 1000 downloads :)
I am hoping to extend the functionality with more insights and helpful tips (double-checked with professionals) to help young parents with the beauty of breastfeeding their newborn children.
It’s no where near done
But as always I am also building https://retro-board.it for doing retros and sprint poker
And https://flags.gg for feature flags with quite a lot of agents (rust, go, react, and others)
Go check it out, its free to try, with a one-time purchase full version:
https://apps.apple.com/app/apple-store/id6475267297?pt=11914...
- Realistic exam conversations with natural follow-ups and questions to challenge your viewpoint
- Get scored on all 4 criteria (fluency, vocabulary, grammar, pronunciation)
- Instant feedback on where to improve
- Free credits to start
There are many existing resources to help prepare for the IELTS exam, however the options are very limited when it comes to practicing the speaking portion.
I am working on creating a standardized set of paths and third party libraries that work seamlessly across multiple developer teams. Allowing library upgrades to happen transparently in the background. This will enable developers to focus on business specific logic and not have to worry about the intricacies of the build system and allowing to "magically" work in the background. This is allow foray into Bazel and using it as a learning exercise to master it.
It has helped me a lot to keep focus while working and track distractions. It might be too tailored for my needs, but have a look: https://zookeeper.fyi
I started it a couple of years ago as personal project to help me study for interviews. Back then, it was simple RSS feed aggregator of big tech companies engineering blogs.
Recently I expanded content library to technical conferences and indie blogs, and implemented semantic search in all the library (for example, you can semantic search by all Strange Loop videos archive).
Give it a try!
So far I'm within spitting distance of the winning entries without using any unsafe code or bit twiddling tricks or custom JVMs or anything like that, and having all the concerns nicely separated and modularized.
Excited to share soon!
So far all levels have been handmade pixel art. I’m now testing machine generated puzzles with random “pixels”. This is an interesting challenge because I still want levels to be solvable and fun. I recently released 15 new puzzles like this and I’m preparing a new update with more.
[1]: https://apps.apple.com/app/nonoverse-nonogram-puzzles/id6748...
Also working on a calculator app that can be resized to large sizes (think half screen on Mac), because I can’t work with small calculator apps on my Mac.
This is going to be a small side project which shall include utilities for working with automotive diagnostics and logging workflows.
I have to do a lot of this in my day job and that's where the idea comes from.
Device driver plugins used to have a very simple flat key value, strings only format, with a set_config_properties function to tell the host what kind of UI to show.
That's all getting replaced with JSON schemas, with some auto-upgrade shims so old config keeps working.
It's one of many things that now seems completely insane, but made sense when I had way less experience a long time ago!
Also still on and off working on my BLE/WiFi based Meshtastic-alike.
Enjoying writing some really fast Zig implementations of hand evaluation and CFR-based solvers.
Demo to try it out: https://kumi-play-web.fly.dev/
GitHub: https://github.com/amuta/kumi
I am always looking for more people to test and play with it or even review the code. We've got a nice little user community going.
Usually this comments drowns in the crowd of the massive amount of awesome stuff people are building, but if you find sanctum useful, hit me up. Good things are happening.
Stay happy
I've always loved the "What are you working on" post. So many niche and interesting projects!
Working on: Offline Youtube playlist download manager. It uses YT-DLP to get all my music and then enriches artist/track metadata using MusicBrainz, AcoustID, Discogs, LastFM, Spotify. Runs as an offline webapp so I can browse and play music locally. Might play around with recommendations for fun later.
Happy to publish the repo if anyone else would find this useful.
We're at genevabm.com if you want to check it out!
Right now, I'm adding a feature to practice writing Kanji and another that creates AI comics based on vocabulary you've learned.
Maybe a bit too complex project for me to handle but hopefully will take it somewhere
https://github.com/dfrankland/envoluntary
This helped me bridge the gap between installing packages declaratively via NixOS / home-manager and defining them for each project being worked in via flake.nix / direnv / nix-direnv; which was needed since most projects don't use Nix.
Main idea:
- Portable identity - Your data/posts/reputation is yours - Client choice: Use any nostr client to reply from/to - Open ranking/Anti-Spam: Web-Of-Trust/Global pagerank - Zaps/Payments weigh more than likes (likes are cheap)
- Market Pulse Agent — analyzes the last 24 hours of global and US market news to generate actionable stock-trading signals.
- TechPulse Agent — tracks emerging tech trends and surfaces interesting GitHub projects and engineering updates.
Both are live on my site: https://kryptunes.com
Still iterating, but the goal is to build a fully automated, AI-powered research companion for traders and tech enthusiasts.
Unlike traditional accounting platforms we expose the ledger model directly which enables our customers to model complex transactions even when we do not have direct support for it.
Been working on this for a month, and it uses Elixir, Phoenix and InertiaJS with React.
Most obvious features, at first glance, are no commas and no need for escape characters. Other useful features include processing instructions, extensible data-substitution rules, and support for comments. Currently only implemented in .NET; plans are to rewrite the core in Rust and provide language wrappers around that core.
It has some dynamic features like sending excess cash or taking missing cash from somewhere else, making it quite useful.
Also, you can connect with our partner or flatmates for shared budgets.
I am actively using it myself together with my girlfriend, and adding new stuff as our demands for budgeting become more elaborate!
It's fully typed. Works with vanilla JS, Vue, React, or just a script tag.
Got some feedback that it may not be the best UX-wise but let me know what you guys think!
Demo: https://devjeff.info/scrype Repo: https://github.com/DevChanQ/scrype
Video Hub App - browse your local video files with a beautiful interface (and scrub-able thumbnails to see multiple screenshots)
$5 for anyone https://videohubapp.com Free for anyone https://github.com/whyboris/Video-Hub-App
Working on this made it really clear to me how a LLM can bring real value to a backend, it excels on processing very differently structured dynamic data (something if done without an LLM would require quite specific code - which would lead to more development time and increase time to market)
Rates your sleep, tracks sleep debt, and tracks how workout timing, coffee time, AC temperature, etc influence your sleep.
2.0 is in review - adds support for recovery (based on sleep HRV, HR), and strain.
a demo video here https://x.com/rohitshindein/status/1985643097439813831
Most of the testing so far is English/French/Japanese/Mandarin, but I'm eager to add more languages if anyone is fluent and willing to help me evaluate the text-to-speech.
I'm currently working on Dice of Sending - for when you want to roll physical dice but you play DND online. This is mostly just for fun with my DND group.
I’m documenting the journey in monthly devlogs.
Here’s the first devlog: https://youtu.be/cSY-C8oiUU8
You can check it out here. We're very close to launching a v1: https://dbpro.app
Currently it works as standalone player. Addition of MPD client mode opens possibility to play music on a separate device while keeping the UX of the music player that I like.
It’s similar to tic-tac-toe but slightly different of course.
Found it a great opportunity to learn about new areas of maths. Trying to figure out where to go next with it.
Weighing the tradeoffs of doing this calculation server or client side. That'll be an architecture shift away from my current set of background jobs fetching state and towards something more functional and on-demand.
I aim to make it into a agentic system that provides you expert level CRO analysis but at fraction of the costs then those expensive CRO consultants
I called it Wosp for word-oriented search and print. I released the first functional version a few days ago: https://github.com/atrettel/wosp
Live demo: https://play.tirreno.com/login (admin/tirreno)
website: https://murajah.pages.dev/
Play Store: https://play.google.com/store/apps/details?id=com.murajah.we...
Manual audio splitting tool for the above project: audio-splitter-6b3.pages.dev/
I've always been skeptical of AI-generated code. This is my first experiment with AI agents, where the full code base, implementation, debugging, and deployment are done using AI Agents MCPs.
Used VS Code all the way, i.e., all the source codes, including the code to generate the Google Play Store APK. I only reviewed the source code before committing and helped debug by suggesting ideas/algorithms.
Mostly used Claude Haiku 4.5 like 75% of the time, where it failed, switched to the sonnet 4.5 or GPT 5 codex. Interestingly, when debugging, sometimes one model struggled even after numerous iterations/feedback loops, but then the problem was solved instantly as soon as I switched to another model.
The source codes are available here:
https://github.com/wasi0013/Murajah
https://github.com/wasi0013/audio-splitter
Initially, I thought the audio splitting could be done automatically using some AI models from Hugging Face or Whisper. But the audio files have some complex repetitions; the output was miserable.
So, for now, this splitting is done manually using a Web UI (The audio splitting tool splits the large audio files into multiple small audio files, think of it like a long paragraph is split into multiple sentences.)
I will attempt again to automate this splitting task using AI, after drafting a game plan for tackling the challenges. I'm thinking of using energy drops and other similar factors to create segments.
If it works out, maybe this could be a way for me to replace the compromised Apple Music app with something that actually syncs to my music on my desktop.
Would be great to collaborate with others on it. In particular I want to explore building the "alpha arena for AI house price prediction"
It is simple but powerful supporting all formatting but also diagrams so you can get Claude to generate beautiful ER, or state-transition diagrams for your documentation. It also supports math notation, file links and has a cool table of contents feature
It's in the app store: ViewMD
You submit heavy duty jobs without worrying about infra, and we take care of execution. We're starting with PDF extraction. Audio transcoding + STT (speech to text) is next. Video transcoding will follow.
This allows you to have $5/mo VPS and get media operations figured out.
If allows the use of different models, no need to sign-up at the moment and at no cost. We released our beta just last week.
We were getting annoyed by all the additional confirmation questions by other AI assistants, and having to switch between consoles to use a editor and/or revert changes.
Check out our repo at: https://github.com/acrotron/aye-chat
or just install it:
# pip install ayechat
We’re doing an alpha launch in Q1 2026, and if you’re interested, sign up at bankrank.io/waitlist or email bankrank.alpha@gmail.com
https://github.com/ra0x3/systemg
I'm personally tired of getting stuck in config/deployment hell every time I want to deploy a long-lived web service. Sure I eventually learned how to use systemd, but systemd has SO many things baked into that I simply don't need. systemg is a lightweight process supervisor that features everything you'd typically want when running/managing production web services in the wild.
Would love feedback.
Yesterday was the one year anniversary, meaning there are 365 videos to unscramble. :)
In particular hardware-accelerated video playback, and adding Portals.
In my spare time I've been working on a small service for making sure I remember friends and families birthdays. I think it's really important but with friends all having kids it's becoming more and more to keep track of in the calendar. I'm putting together a small web app which takes in the birthday and sends me a reminder a set amount of time away, with some suggestions for birthday gifts.
The suggestions right now are just ones that I've entered as I've come across ideas throughout the year for people. But I want to try and plug in known interests and see if I can do a better recommendation for myself. I'm hoping to keep it quite small as I don't want to take the spirit out of remembering people's birthdays, but I do want to be more consistent.
Odoo Cloud Hosting platform alternative to odoo.sh with additional functionalities(PGadmin, external s3 backup,...etc) and backoffice portal to create landing pages and pricing plans for your customers
Thinking about building out my ai memory tool but I am looking for more hours in a day to do that :)
Check it out at https://www.p4d.io
V happy with how the CSS came out, except I spent a lot of time on an "ink bleed" newsprint effect that (oops) only looks good on HiDPI monitors... lessons learned I suppose
TL;DR: Expense reports were killing me (and trees). Built my first coding project – a PDF merger that fits multiple receipts per page. Planned to charge "one bike tire
worth" to recoup costs, but decided to make it free after learning so much from the community. [https://ahay.app/](https://ahay.app/)
So far i've got the scraping and embeddings / similarity clustering down (to build timelines of news stories), lots of data cleaning and UI refinement required. I find it hard to make choices, maybe I need a cofounder who can pair up with me. Looking to either monetize news data or build a news analysis / intelligence platform.
https://flopper.io - this has become a big focus. It's essentially a table for flops. Calculator coming soon for flops and power. Imported >600 Datacenters in October.
https://llmstxt.studio - models need data and I believe llms.txt as an idea has merit. Likely needs an authority. Will add more audit tools to give people any slight benefit they can have for SEO.
https://probe.bike - tell stories with your bikepacking data.
It's pretty hard to work on all these ideas and areas whilst working. Feeling a bit over stretched.
Flopper remains the main focus as release cycles are slow and it overlaps with work slightly.
No Ads, no paywall, just focused on a good reading experience with some extra niceties like widgets on the home screen.
Website: https://www.hackerreader.app/
App Store: https://apps.apple.com/us/app/hacker-reader/id6754137305
It is like /., but better :-)
It relies on “modern” (2009) extensions to minimise traffic and avoids polling entirely (relying on the server to notify of new messages or changes as they happen).
It’s currently quite stable. The only known issue is that it can take a while to detect a timeout when the system is suspended and woken up again (there’s no portable API to detect suspend/resume).
Since then, I’ve been working on a simple TUI email client based on notmuch and maildir. So far it works really well for processing email, but lacks any capabilities for handling attachments, composing, sending (these are obviously on the roadmap).
Dreaming about a new programming language made for coding gameplay logic: https://news.ycombinator.com/item?id=45865379
And an iOS expense tracker focused for frequent travelers, and macOS photos viewer based on the filesystem instead of a monolithic opaque "library", 2 needs that I had since forever but could never get through Apple's atrocious developer documentation far enough to finish making them :')
use it to view all dashboards in one place.
[0] jacobin.org
SSH based access with HTTP port forward. Team collaboration, multiple models, git based workflow, test deployment automation, etc.
Very early stage but it now work on its own source code (Bash tool is missing): https://github.com/brainless/nocodo
I’m building a small live NFL game-prediction tracker and writing up what I learn as I go:
https://michellepellon.com/portfolio/nfl-game-predictions
# What’s under the hood today
ELO translated to the NFL with margin-of-victory adjustments, a modest home-field term, and week-to-week recency weighting.
Post-hoc calibration with isotonic regression so 70% predictions land near 0.70 empirically.
Monte Carlo to roll games forward for distributions on weekly win odds and season outcomes, plus basic reliability/Brier/log-loss tracking.
# Where I’m taking it (ensemble ideas)
Blend a few complementary signals: (1) pure ELO strength; (2) schedule-adjusted EPA/Success Rate features; (3) injury/QB continuity and rest/travel effects; (4) a small “market prior” from closing lines; (5) weather/play style pace features.
Combine via a simple stacked model (regularized logistic, isotonic on top), or a Bayesian hierarchical model that lets team effects evolve with partial pooling.
Separate models for win prob vs. expected margin, then reconcile with a consistent link so the two don’t disagree.
Emphasis on calibration over leaderboard-chasing: reliability diagrams, ECE, PIT histograms, and backtests that penalize regime drift.
# Why I’m doing it
It’s a sandbox to teach myself Monte Carlo and ELO end-to-end—data ingest → feature plumbing → simulation → calibration → eval—on a domain with immediate feedback every week.
# How this connects to my day job (healthcare ops)
I work at BlueSprig, running ~150 ABA therapy clinics. I’m exploring whether ELO-like ideas can augment ops decisions:
“Strength” ratings for clinics, care teams, or scheduling templates based on outcome deltas and throughput (margin-of-victory ≈ effect size/efficiency).
Opponent/schedule ≈ case-mix, payer mix, staffing constraints, geography.
Monte Carlo for expansion planning (new-site ramp curves), capacity/OT forecasting, and risk-adjusted outcome monitoring with calibration so probabilities mean something.
Guardrails for fairness and interpretability so ratings don’t become blunt scorecards.
# Help
If you’ve shipped calibrated ensembles in sports or have pointers on applying rating systems to multi-site healthcare operations, I’d love to trade notes or if you need someone to this and other kind of work for their dayjob email me at mgracepellon@gmail.com -- I would love to do this fulltime.
It was mainly an excuse to learn Go to be frank.
Also to anyone reading this I am taking any blog suggestion you could have
Ai driven container planner
My Name is Will, I am a final year college student in Milan and the Co-Founder of this project Neutralis. I came across this website super randomly this evening and am fascinated!
I will preface by stating that I am not a programmer nor an AI/ML engineer, just a an economics student with an amazing team of people around me.
This is our first project and for the past year we have meandered through the tests and trial and error required to learn and understand what we need to build but as I’m sure you all know every task is linked to an exponentially increasing number of problems needed to be studied and solved as we trudge towards the market. Since I believe we’re all in the same boat and there are like minded and far more talented people on this page, I wanted to share what were doing and shout into the void to see if we can maybe find some answers to what were looking for!
The project is this, an Intelligent fault detection diagnostics system tailored for industrial scale Heat Pump systems. If you have no bloody idea what that is don’t worry! It’s basically the standard boiler’s successor as an electrical thermal supply system which (at least in the EU) will be replacing all pre-existing systems in the coming years due to legislative changes.
The ecosystem of our product is a model of some format (question to follow) paired with a sensor suite which will be connected to an “OS” for technicians and maintainers with the goal of optimising their post-installation workflow processes.
The software is not obscure, only a little complex w.r.t double format databasing and the presence of multiple user types within an org, but this with time can be organised. The difficulty lies in the model. These systems have datapoints in the 6-7 figures and hundreds of components each requiring enough inference to be able to (with a justifiable accuracy) perform the inference required to pinpoint diagnostics, also including the multitude of ambient/external factors affecting physical systems in real time. This complexity has meant that our ML lead who is finishing his PhD is left scratching his head about what the best approach would be.
Since we would like to have a modular system to allow for any scale our first thoughts lean towards Reinforcement learning. We have a partnership in industry that is allowing us to secure vast stress test datasets from manufacturers of these systems which display the full range of results produced from these systems, but these are only from the Heat pump alone. Therefore, we are also working on gaining access to as many pilot sites as possible to collect data on entire systems so that we can cover all bases. The issue with this is that the time required to have a model viable for launch we fear would be too long and our runway is short.
Option 2 is a digital-twin. If we are able to produce a platform capable enough to align its simulations closely enough to the data collected from the sites, then only a fault library in a relational DB is required to get the desired outcome. However, as specified, to create a modular digital-twin which has internalised all of the external/ambient factors into its computing seems almost impossible. We have been simulating on one produced in Sweden, it doesn’t even come close.
Finally, we have thought instead to look into finding a highly specialised LLM which we could refine well enough to match our use case, for which our understanding is really primitive as we don’t have an AI specialist but the intuition is, produce a technician who is as experienced as humanly possible and so with just a look at the data is able to give you a step by step solution and fix guide.
What do you guys think the best course of action would be?
If you're interested in discussing further reach out at william.taylor@neutralis.it!
A law professionals helper - aggregates judicial case info into a single place, gives visibility and notifications - asistentul.ro
A scheduling platform for self-employed professionals that offer services (think hair-cutting, nails, psychlogists). (Not yet live)
Aaand something in compliance that I want to keep a bit stealthy right now.
Open to any feedback, suggestions or comments.
The problem: Most organizations hardcode prompts directly into application code, creating security vulnerabilities (90% prompt injection success rate in typical deployments), operational inefficiency (3-5 day deployment cycles for simple prompt changes), and compliance gaps (insufficient audit trails for SOC 2, ISO 27001).
Our approach: - Externalize prompts from code with secure configuration management - Implement modular middleware architecture with composable security primitives (BasicSanitizer, LightweightAuditor, SimpleRBAC, InputValidator) - Provide complete audit trails and version control with approval workflows - Support both startups and enterprises with practical, not theoretical, security
Version 1.1.0 is now available with Python implementation and examples for Node.js, Java, Go, Rust.
We're actively looking for community contributions - security primitives, framework integrations, language implementations, and adoption stories.
https://github.com/upss-standard/universal-prompt-security-s...
Only indie make products, fully bootstrapped.
The idea is to both give founders another space to showcase their products and for early adopters and general public to browse through bootstrapped alternatives.
Only bootstrapped products by indie hackers and small teams. No VC/Angel backed startups.
The idea is to give indie creators a space to showcase their apps and early adopters to discover great alternatives to major players.
A lot of the AI-powered applications for private equity firms are focusing on the multi-billion dollar firms.