Ask HN: What Are You Working On? (June 2025)

https://laboratory.love

Last year PlasticList discovered that 86% of food products they tested contain plastic chemicals—including 100% of baby food tested. The EU just lowered their "safe" BPA limit by 20,000x. Meanwhile, the FDA allows levels 100x higher than what Europe considers safe.

This seemed like a solvable problem.

Laboratory.love lets you crowdfund independent testing of specific products you actually buy. Think Consumer Reports meets Kickstarter, but focused on detecting endocrine disruptors in your yogurt, your kid's snacks, whatever you're curious about.

Here's how it works: Find a product (or suggest one), contribute to its testing fund, get detailed lab results when testing completes. If a product doesn't reach its funding goal within 365 days, automatic refund. All results are published openly. Laboratory.love uses the same methodology as PlasticList.org, which found plastic chemicals in everything from prenatal vitamins to ice cream. But instead of researchers choosing what to test, you do.

The bigger picture: Companies respond to market pressure. Transparency creates that pressure. When consumers have data, supply chains get cleaner.

Technical details: Laboratory.love works with ISO 17025-accredited labs, test three samples from different production lots, detect chemicals down to parts per billion. The testing protocol is public.

You can browse products, add your own, or just follow specific items you're curious about: https://laboratory.love

I'm building Mochi, a small programming language with a custom VM and a focus on querying structured data (CSV, JSON, and eventually graph) in a unified and lightweight way.

It started as an experiment in writing LINQ-style queries over real datasets and grew into a full language with:

- declarative queries built into the language

- a register-based VM designed for analysis and optimization

- an intermediate representation with liveness analysis, constant folding, and dead code elimination

- static type inference, inline tests, and golden snapshot support

Example:

  type Person {
    name: string
    age: int
  }

  let people = load "people.yaml" as Person

  let adults = from p in people
             where p.age >= 18
             select { name: p.name, age: p.age }

  for a in adults {
    print(a.name, "is", a.age)
  }

  save adults to "adults.json"

Happy to chat if you're into VMs, query engines, or DSLs.

- The encoder ring which works like an LED mouse, but in reverse: Fully reverse-engineered and on its own demo PCB

- The faceplate PCB, which does the actual control of the thermostat wires, has been laid out, but the first version missed a really-obvious problem involving the behavior on power-on with certain of the GPIO pins from the ESP32, so I've got rev 3 on order from the PCB manufacturer.

Nest Thermostats of the 1st and 2nd generation will no longer be supported by Google starting October 25, 2025. You will still be able to access temperature, mode, schedules, and settings directly on the thermostat – and existing schedules should continue to work uninterrupted. However, these thermostats will no longer receive software or security updates, will not have any Nest app or Home app controls, and Google will end support for other connected features like Home/Away Assist. It has been pretty-badly supported in Home Assistant for over a year anyway, missing important connected features.

My film got screened at the Academy Award-qualifying Bali International Film Festival and the Marina Del Rey Film Festival in the past month. It will be screening next month in New York City at the Asian American International Film Festival.

I also wrote a metaprogramming language which generates a lot of the editor UI for the engine. It's a bespoke C parser that supports a small subset of C++, which is exposed to the user through a 'scripting-like' language you embed directly in your source files. I wrote it as a replacement for C++ templates and in my completely unbiased opinion it is WAY better.

https://github.com/scallyw4g/poof

* OSINT (r00m101 just beat me to it by launching...)

* Research into recommendation algorithms, advertising placement algorithms, etc

* Marketing (ad libraries, detailed analysis of content given data not even exposed to the mobile app due to some interesting side channels, things like trend analysis, etc)

* Market research for products

* Sales teams can use it to find exact mentions of other products. Eg: selling crash reporting software? Look up your target accounts' brands and find examples of complaints.

Plus a few more with more imagination.

So I'm working on a site that allows user access to some of the read-only functions available here. Coming soon :tm:. Been really fun building it all in Rust, though :) If you're interested in anything here, email in profile.

[0]: https://github.com/redlib-org/redlib

https://airdefense.dev/

From a dev perspective this area has a ton of super interesting algorithmic / math / data structure applications, and computational geometry has always been special to me. It's a lot of fun to work on.

If anyone here is interested in this as a user, I'd love for any feedback or comments, here or you can email me directly: tyler@vexlio.com.

Some pages the HN crowd might be interested in:

* https://vexlio.com/blog/making-diagrams-with-syntax-highligh... * https://vexlio.com/solutions/state-diagram-maker/ * https://vexlio.com/blog/speed-up-your-overleaf-workflow-fast...

The standard fiscal POS app was adapted to support a sort of low-trust swarm of waiters who used the app to collect orders. These orders were then transferred to a few high-trust cashiers by scanning QR codes generated on the waiters' apps.

After receiving payments, the cashiers' apps printed invoices and multiple "order tickets" categorized by "food," "drinks", "sweets"... This allowed waiters to retrieve items and deliver them to customers.

The system was used by around 40 users, with new waiters joining or leaving throughout the event. They used their own phones, and the app functioned without internet or Wi-Fi, gracefully downgraded (If a waiter didn't use the app due by choice or due to technical problems, they could manually relay orders to cashiers), Customers also had the option to approach cashiers directly, receive their order tickets, and pick up items themselves.

This is not that technically interesting, but I liked how the old manual system, the 70+ year village firefighting org. main cashier had, got digitalized in non-centralized way. (and I took this chance in trying to explain it, as I will have to, to maybe find more users for it)

Strongly recommend the rust remover described by Backyard Ballistics[0] on his second channel[1]; 1 liter water, 100g citric acid, 40g washing soda, generous squirt of dish soap. He claims the acid and alkali cancel out so there's nothing to attack the normal metal surface, but they leave citrate ions which dissolve rust by chelation, which makes it better than just citric acid, vinegar, or soda alone, which all pit and dissolve the clean metal surfaces, and easier/better than wire wool scratching. He also claims it's as effective as EvapoRust but much cheaper and can do more rust dissolving per litre than EvapoRust.

[0] https://www.youtube.com/@Backyard.Ballistics - restoration of old and very rusty guns

[1] https://www.youtube.com/watch?v=fVYZmeReKKY - "The Ultimate HOMEMADE Rust Remover (Better than EvapoRust)", Beyond Ballistics channel

* Expect/snapshot testing library for F# is now seeing prod use but could do with more features: https://github.com/Smaug123/WoofWare.Expect

* A deterministic .NET runtime (https://github.com/Smaug123/WoofWare.PawPrint); been steaming towards `Console.WriteLine("Hello, world!")` for months, but good lord is that method complicated

* My F# source generators (https://github.com/Smaug123/WoofWare.Myriad) contain among other things a rather janky Swagger 2.0 REST client generator, but I'm currently writing a fully-compliant OpenAPI 3.0 version; it takes a .json file determining the spec, and outputs an `IMyApiClient` (or whatever) with one method per endpoint.

* Next-gen F# source generator framework (https://github.com/Smaug123/WoofWare.Whippet) is currently on the back burner; Myriad has more warts than I would like, and I think it's possible to write something much more powerful.

This week, I'll set up a Hugo blog with the Ed theme, love it, looks exactly what I'm looking for, and as a former LaTeX enthusiast, it's pretty close. It's readable, minimalist. I'll need to customize the theme, though. I plan to publish blog posts about anything I find interesting.

https://gohugo-theme-ed.netlify.app/

In parallel to this work, I'm setting up a simple system to keep my website + subdomains easy to build, rebuild, and deploy with Caddy on a cheap Scaleway compute server. In the past, I had some ideas I wanted to publish, but the system I went with made managing the sites dreadful.

Once that's ready, I'm back to learning Rust and crypto. It's fun, interesting, challenging, remote-friendly, and the salaries are usually 30-50% better. My current tech stack feels like a dead end: it has a low ceiling in terms of salary, the projects are generally not very interesting (I'm grateful for my current project, it's the best there is with this technology), and I believe the technology will see a slow and steady decline.

Apart from work, I'm building the playground for my 2 yo son, and planting blueberries, he loves them.

I've gotten the process to fully catalog all of the advertisements in a magazine (about 150 on average) down from over a week to a few hours. I should be able to get through the material within my lifetime now :)

Folks have reached out about having an 'In Loving Memory Of' site for their loved ones, so I'm turning this into a side business to help out more with my (now widowed) father's retirement and care.

I recently impulse bought an Epson receipt printer, and I’ve started putting together a server in Go to print a morning update every day. Getting it to print the weather, my calendar and todos, news headlines, HN front page. Basically everything I pick up my phone for in the morning, to be on paper rather than looking at a screen first thing. Very early days but hacking away and learning escpos/go! (Vibecoding a lot of it)

https://github.com/petertjmills/escpos-server

The main use-cases I'm thinking of right now is triggering agents using email or a very simple document upload flow to any SaaS (just forward an email to the SaaS).

https://recivo.email/

After HashiCorp was acquired by IBM I decided to take time off from corporate life and build something for myself. For years I've also been a casual retail investor on the side.

Forums like /r/stocks and /r/wsb in the past have been useful resources for finding leads and interesting information. But meme-ification (among other factors) have substantially degraded sites like Reddit, to the point where interesting comments are much fewer and far in between. With TickerFeed I'm hoping to recapture what was lost - a platform where investors can discuss companies and all things stock market through meaningful long form content.

It's also a chance to build something with my dream stack - Go + HTMX + SQLite, and that's been fun :)

After a lot of grief trying to make Plex and jellyfish to work with my collection, and then some more with the community [1] I decided to make my own.

There's no selling point and clear pathway to monetize, as other solutions are way more mature and feature complete, but this is my own and serves my needs the best.

I've been working on it on and off for last 8 years or so, and it's been my personal benchmark for js ecosystem. The way it works, every now and then I come back to the project, look at the latest trends in js world and ask myself a simple question - what should I change in the codebase to make it online with the latest trends. And everytime it leads to full rewrite. Kind of funny, kind of sad.

In a nutshell I have a huge movie collection - basically I'm preparing for armageddon where all online streaming services cease to exist and I need both backend to fetch me detailed information about movies in the collection as well as frontend to help to decide what to watch tonight.

My next major endeavor will be trying to integrate RAG to take a bite at my holy grail - being able to ask a question like "get me a good gangster flick" and get reasonable recommendations.

[1] I think it was jellyfish where I was asking on their forums for how to manually create a collection, stating I'm a software engineer with 20+ exp and they kept telling me that I shouldn't touch the code... While having an online campaign asking for volunteers to contribute to the codebase.

Autonomous robotics for sustainable agriculture. Based in the south of the UK. Prototypes of an autonomous mechanical farm-scale weeding robot currently beginning real-world testing. Still a huge amount of work to do though.

Hardware and software developed fairly much from scratch, not using ROS (for not entirely crazy reasons...); everything written in Rust which I find well suited to this application area.

The robot is built using off-the-shelf components and 3d-printed custom parts, so build cost is surprisingly low, and iterations are fast (well, for hardware dev).

On robot compute is a couple of Raspberry Pi 5s.

Currently using the RPi AI Kit for image recognition, ie Hailo 8[L] accelerators.

Not currently using any advanced robotics VLA-type AI models, but soon looking to experiment with some of it, initially in simulation.

Feel free to get in touch if you'd like to talk :) Contact details in my HN profile, and on our website.

Long-term, passion project of mine - I'm hoping to make this the best typing platform. Just launched the MVP last month.

The core idea of the app is focusing on using natural text. I don't think typing random words (like what some other apps do) is the most effective way to improve typing.

We offer many text topics to type (trivia, literature, etc) where you type text snippets. We offer drills (to help you nail down certain key sequences). We also offer:

- Real-time visual hand/keyboard guides (helps you to not look down at keyboard) - Extremely detailed stats on bigrams, trigrams, per-finger performance, etc. - SmartPractice mode using LLMs to create personalized exercises - Topic-based practice (coding, literature, etc.)

I started this out of passion for typing. I went from 40wpm to ~120wpm (wrote about it here if you're interested: https://www.typequicker.com/blog/learn-touch-typing) and it completely changed my perspective and career trajectory. I became a better programmer and writer because I no longer had to think about the keyboard, nor look down at it.

Currently, we're doing a lot of analysis work on character frequencies and using that to constantly improve the SmartPractice feature. Also, exploring various LLM output testing/observability tools to improve the text generation features.

Approaching this project with a freemium model (have paid AI powered features; using AI to generate text that targets user weakpoints) while everything else in the app is completely free. No ads, no trackers, etc. (Hoping to have sufficient paid users so that we can run the site and never have to even think about running ads).

I've received a lot of feedback and am always looking for ways to improve the site.

Main focus is https://wheretodrink.beer, collecting and cataloging craft beer venues from around the world. No ambition of being exhaustive, but aiming for a curated and substantial list. After the last thread, a bunch of people added their suggestions, thanks! It helped add interesting new venues from cities I hadn’t covered yet.

I’m very slowly layering on features, and have a few spin-off ideas I’ll keep brewing on for later. The hardest problem thus far has been attempting to automate popularity rankings and automatic removal of defunct venues without breaching a bunch of ToS.

Also made https://drnk.beer, a small side project offering beer-related linkpages and @handles for Bluesky (AT Protocol). It's been on the backburner, but still very much live.

Probably looking for another small project for the next few months to focus on something else for a while. Always curious to see what others are building and doing. Thanks for sharing!

- LegalJoe: AI-powered contract reviews for startups, at the "tech demo" phase right now: https://www.legaljoe.ai/

- ClipMommy: A macOS tool to help (professionals who record a lot of videos | influencers) organize their raw video clips. Simply drag a folder of "disorganized" videos onto ClipMommy, and ClipMommy organizes the videos into folders / subfolders, adding tags, based upon some special statements that you can make at either the start or the end of your video (think audio-based "clapboard"). I'm expecting to release this within a week or two on the Mac App Store (Apple allowing...).

As an aside, I've been very impressed with Claude Code, it's (for me at least!) leading the way for how the next generation of business software might leverage AI. I plan to iterate on LegalJoe to make more "agentic" as a result of what I've seen is possible in Claude Code.

The insight: Most security scanners find problems but don't fix them. Industry average time to fix critical vulnerabilities is 65+ days. We generate the actual fixes and create PRs automatically, including educational content on the nature of the vulnerability and the fix in the PR description.

Technical approach: - AST-based pattern matching (moved from regex, dropped false positives from 40% to <5%) - Multi-model AI for fix generation (Claude, GPT-4, local models) - ~170 patterns across 8 languages + framework-specific patterns; can grow this easily but need more customer validation first.

Business model experiment: Success-based pricing - only charge when fixes get merged ($15/PR at the moment). No upfront costs. This forces us to generate production-quality fixes & hopefully reduces friction for onboarding.

Early observation: Slopsquatting (AI hallucinating package names that hackers pre-register) is becoming a real attack vector. It's pretty straightforward to nail and has a lot of telltales. Building detection & mitigation for that now.

Stack: Elixir/Phoenix, TypeScript, AST parsers

https://rsolv.ai

- The idea: https://carlnewton.github.io/posts/location-based-social-net...

- A build update and plan: https://carlnewton.github.io/posts/building-habitat/

- The repository: https://github.com/carlnewton/habitat

- The project board: https://github.com/users/carlnewton/projects/2

https://splice-cad.com

Building cables for multiple personal and professional projects, I was frustrated by having to cobble together harness diagrams in Illustrator or Visio, cut snippets from from PDFs for connector outlines, map pin-outs, wire specs, cable constructions, mating terminals, and manually updating an Excel BOM.

Splice gives you:

An SVG canvas to drag-and-drop any connector or cable from your library to quickly route and bundle wires. Assign signal names to wires or cable cores.

Complete part data Connector outlines, pin-outs, terminal selections (by connector family & AWG), cable core colors & strand counts, wire AWG/color.

Automated BOM & exports parts-ready diagrams, wiring drawings, and a clean BOM in SVG, PNG, or PDF.

Connector & Cable Creators. Connectors or cables not in the existing library can be added with an optional outline and full specs (manufacturer, MPN, series, pitch, positions, IP-rating, operating temp, etc.), then publish privately or share publicly.

Demos & tutorials: Harness Builder → https://www.youtube.com/watch?v=JfQVB_iTD1I

Connector Creator → https://www.youtube.com/watch?v=zqDsCROhpy8

Cable Creator → https://www.youtube.com/watch?v=GFdQaXQxKzU

Full tutorials → https://splice-cad.com/#/tutorial/

No signup required to try—just jump in and start laying out your harness: https://splice-cad.com/#/harness. If you want to save, sign up with Google or email/password.

Obviously the main thing is getting the listings data, which as far as I know (mostly) isn't readily available any other way that scraping the cinemas' websites, for which I set this up as a separate-ish project[1]

[0] https://filmhose.uk

[1] https://github.com/Joeboy/cinescrapers

Handles everything from real-time driver tracking, public order tracking links, finding suitable drivers for orders, batch push notifications for automatic order assignment, etc.

Backend: Feathers.JS, Postgres + TimescaleDB & PostGIS, BullMQ, Valhalla (for multi-stop route optimization although most of our deliveries are on-demand)

Frontend: SvelteKit

Mobile App (Android only for now): React Native/Expo, Zustand, Expo push notifications, and two custom native modules for secure token storage and efficient real-time GPS tracking. The tracking was probably the toughest to get right to find the best balance between battery/data efficiency and more frequent updates.

Been testing it for a couple weeks and as of last week, that company moved their operations over to it with 50+ drivers and thousands of orders processed through it so far (in a country with pretty unreliable connectivity/infrastructure).

I built it initially as a favor but open to other applications for it.

Since TP 3.0 does no optimisations, and looking at the progress so far (~25% decompiled), it seems like matching decompilation should be achievable.

If/when I get to 100%, I hope to make the process of annotating the result (Func13_var_2_2 is hardly an informative variable name) into a community project.

For my 3D audio project I need an affordable way to make plastic cases. I felt like injection molding services are way overpriced, so I decided to make the molds in-house. Turns out, CNC milling is overpriced, too. As are 5 axis CNC mills. So in the end, we built our own CNC machine.

And like these things always go, I found an EMI issue with my power supply and a USB compliance bug in the off-the-shelf stepper control board. But it all turned out OK in the end so we now have the first mold tool that was designed and machined fully in-house. And I learned so much about tool paths and drill bits. Plus it feels like now that everyone has experienced hands-on how stuff is milled, my team got a lot better at designing things for cheap manufacturing.

* https://trosko.hr (HR, Android/iOS app) - super-simple receipt/bill tracker (snap a photo of the receipt, reads it using Gemini, categorizes and stores locally - no accounts, no data gathering)

* https://github.com/senko/think (open source) - Python client library for LLMs (multiple providers, RAG, etc). I dislike the usual suspects (LangChain, LLamaIndex) but also don't want to tie myself to a specific provider, so chugging on my on lib for this.

My day job required me to go into office frequently, and I'm really feeling the reduced social connection of being fully remote in a small company. Any suggestions how to deal with this? I'm planning to reconnect with old friends, surf a lot, go rock climbing, and maybe take dance / music / other classes. Would also love if anyone wants to work together in the same place (library, coffee shop, etc). I'm in Escondido California, but happy to drive ~30 min to meet folks.

I do plan on open sourcing more of the code over time. I also have started working on other sites using the same algorithm implementation (music, movies, video games)

This has just been a side project over the year generating passive income. I get around 250,000 page views a day, and with ads, memberships, and affiliate links I make around $2,500~ a month.

Tech stack is ruby on rails 8, postgresql 17, opensearch, redis, bootstrap 5.3 hosting on 3 servers on linode.

But, I'm determined to see its completion even if there is just one user. I didn't take the Wordpress fiasco and how they handled it, lightly at all and it only fueled my motivation even more. ETA is by end of this year right on time for Christmas.

If you'd like to read more, here's an article about my CMS: https://medium.com/creativefoundry/what-i-learned-as-an-arti...

If you'd like to get Beta access, my email is listed in my profile.

I started on a Zig one and nope'd right on out of that after a few hours of fighting the compiler.

I'm currently working on porting a bunch of my Rust mini-games to other languages. [3]

[0] https://github.com/Syn-Nine/odin-mini-games/tree/main/2d-gam...

[1] https://github.com/Syn-Nine/c3-mini-games/tree/main/2d-games...

[2] https://github.com/Syn-Nine/freebasic-mini-games/tree/main/2...

[3] https://github.com/Syn-Nine/rust-mini-games/tree/main/2d-gam...

1) Highly Sybil resistant. Neither the keypair owner nor anyone else can re-use the same underlying ID to link to another keypair.

2) Very high anonymity. While the Sybil resistance requires a nullifier representing the underlying ID to be present in a database (or stored in a public, decentralized form for blockchain use), there is no way to connect that nullifier with the keypair. Even if someone were to use brute force to successfully connect the nullifier with a specific underlying ID, such as a passport, there is no way to connect that ID with the keypair. (In the passport case, even merely brute-forcing the nullifier could only be done by the issuing government, someone who has hacked the government database, or someone with physical access to the passport. This is due to the fact that other passport information than the passport number is included in generating the underlying zero-knowledge proof.)

I understand that other technologies may have similar end-functionality, but this has the advantage that most of the functionality is encapsulated in a single Rust executable that could be easily used in any context, whether distributed or decentralized. (If anyone would like to know more, my contact info is at garyrobinson.net.)

Beyond the landing page (built with Astro), I've been building all of the route optimization, the delivery and warehouse management systems. A combination of go and java has allowed me to write a few microservices in the past 6 months to handle all of my logistical processes, and I'm just testing the mobile app in the field as we speak! I hope to make some of the code open-source one day!

https://touchgrass.fm/

Brief backstory: While visiting us overseas, my in-laws were in a very bad car accident. Everyone involved is alive and going to be okay. But what followed was a series of emotional, physical and logistical challenges that pushed my wife and her parents to their limits.

During this time I found myself (shamefully) hiding on my phone. I was obsessively refreshing for updates from insurance/hospital teams, sending empty messages, and mindlessly scrolling feeds. My screen time was averaging 12 hours a day. Time I could have spent being fully present with my wife and her parents.

I finally accepted I have a serious phone addiction. I tried Apple Screen Time and a few popular screen time management apps, but found the blocks were too easy to bypass, and some apps were as useful as they were distracting depending on the context (e.g. YouTube). I didn’t necessarily want to use my phone less: it’s an incredibly useful tool, and the distractions were sometimes helpful.

What I really needed was intentional stretches of time spent away from my phone. I built touchgrass.fm as a simple way to record and incentivize those stretches of time. It’s not quite finished, but it’s been helping me stay present for hospital visits, meals and important conversations.

[1] https://store.steampowered.com/app/3498390/Astroloot/

Our first product is Joyspace AI Clips. Automatically convert any long video, podcasts, webinars, conference videos, founder sales videos, real estate videos into Short Clips.

We have new and fancy captions, download transcript, download low-resolution video, downloading high resolution video as well.

We can process hundreds of hours of video using cloud very easily.

Check out our app at https://app.joyspace.ai

Visit our website https://joyspace.ai to create truly unlimited short clips.

edit: We have built video understanding model that tracks people, objects, interesting items within video. On next version we are going to allow customers to query the video and also specify who they want to track to create short clips.

Feedback welcome.

Local-first web applications with a compiled backend – After eight years working on web platforms, the conventional stack feels bloated. The client already defines what it wants to fetch or insert. Usually through queries. So why not parse those queries and generate the backend automatically (or at least, the parts that can be)?

Triple stores as a core abstraction – I’ve been thinking about using a triple-based model instead of traditional in-memory data structures, especially in local-first apps. Facts could power both state and logic, and make syncing a lot simpler.

Lower-level systems programming – I’ve mostly worked in high-level languages, but lately I’ve been writing C libraries (like hash maps) and built a minimal 32-bit bare-metal RISC-V OS.

It’s all still brewing, but I think these ideas tie together nicely. What if the OS didn’t have a file system and just a fact store? Everything could be queried and updated live, like a Lisp machine but built on facts.

Some other things I’ve been playing with:

A jQuery-like framework and element factory - You can pass signals that automatically updates the DOM.

A Datomic-like database on top of OPFS - where queries become signals that react to new triples as they enter the system. Pairs well with the framework above.

So, I embarked a couple of weeks ago on my journey to build a relational database, which checks the boxes for me personally and I hope that this will be useful for other developers as well.

Project priorities (very early stage): - run code where the data is - inside of the database with user defined functions (most likely directly rust and wasm) - frontend to directly query the database without the risk of injection attacks (no rest, graphql, orms, models and all the boilerplate in between) - can be embedded into the application or runs as a standalone server - I hope this to be the killer feature to enable full integrations tests in milliseconds - imperative query language, which puts the developer back in control. Instead of thinking in terms of relational algebra, its centered around the idea of transforming a dataframe

Or in other words, I want to enable single developers or small teams to move fast, by giving them an opensource embeddable relational firebase.

https://reifydb.com/

If you have any thoughts on that, I would love to talk to you.

An iOS client for Cloudflare. Surprisingly, there’s none out there, maybe because nobody needs it? I do, so I’ve created one and it’s now available on TestFlight [0].

Another interesting thing I’ve recently discovered is that LLMs are pretty great at vetting tenancy agreements, so I’m working on a website that reads tenancy agreements and will return a list of unfair clauses that might be present in the contract along with a detailed explanation of how you should follow up with the landlord/agency. I still need to finish it but if you’re interested it’s here [1].

[0]: https://testflight.apple.com/join/Jj7WveWb

[1]: https://transparents.fyi

I'm planning on doing a proper writeup/release of this soon, but here's the short version: https://gist.github.com/samscott89/e819dcd35e387f99eb7ede156...

- Uses lldb's Python scripting extensions to register commands, and handle memory access. Talks to the Rust process over TCP.

- Supports pretty printing for custom structs + types from standard library (including Vec + HashMap).

- Some simple expression handling, like field access, array indexing, and map lookups.

- Can locate + call methods from binary.

I release code into the public domain hoping it will be useful. There's some fast code for Groebner basis computations using the F4 algorithm (parallelized - article to follow), and some routines for machine integers e.g. discrete logarithm, factoring, and prime counting.

It's a web-based notepad calculator, which means it's a notes app but it can evaluate inline calculations like

``` £300 in USD + 20%

09:00 to 18:30 - 45 minutes ```

I wrote the core of the calculator a few years ago, and I've just launched a big rewrite that supports

* document syncing * offline editing * markdown formatting * PDF and HTML exports * autocomplete * vim mode

Happy to hear feedback :)

Please check it out if it sounds at all interesting! Keen for feedback :) I've written some docs, including a "getting started" guide, linked in the GitHub page.

Lets you create encrypted containers disguised as normal files. 1000s of images, pdfs, videos, secrets, keys all stuffed into an innocent look "Vacation_Summer_2024.mp4".

I've almost got true steganography working i.e to get the carrier file to actually open in any file system(currently with mp4, pdf, png and jpeg).

Things like this have existed in the past, but nothing with a simple UI,recent encryption standards.

It's an environment for open-ended learning with LLMs. Something like a personalized, generative Wikipedia. Has generated courses, documents, exams and flashcards.

Each document links to more documents, which are all stored in a graph you grow over time.

https://Full.CX - still hums along in the background. Couple of customers. Just added MCP which has been amazing to use with AI coding agents. Updating the UI/UX to ShadCN to improve usability and make it easier for future changes replacing NextUI and Daisy.

https://Toolnames.com - no changes this month.

https://Risks.io - little bit of work on the new platform, yet to be released.

https://dalehurley.com - little facelift

I recently by request[0] added a cohesive timeline view for hn's /bestcomments. The comments are grouped by story and presented in the order that they were added to the /bestcomments page. It's a great way to see popular comments on active topics. I'm going to add other frills like sorting and filtering, but this seems to be as good a time as any to get some of your thoughts!

You can check it out here: https://hcker.news/?view=bestcomments

[0] https://news.ycombinator.com/item?id=44076987 (thx adrianwaj)

This is written entirely in 6502 assembly, and uses a fun new mapper that helps a little bit with the music, so I can have extra channels you can actually hear on an unmodded system. It's been really fun to push the hardware in unusual ways.

Currently the first Zone of the game is rather polished, and I'm doing a big giant pixel art drawing push to produce new enemies, items, and level artwork to fill out the remainder of the game. It's coming along slowly, but steadily. I'm trying to have it in "trailer ready" / "demo" state by the end of this calendar year. Just this weekend I added new chest types and the classic Mimic enemy to spice things up.

My 7 year-old has gotten into music and is trying to record his own ideas. We have found the existing tools to be either too simple (Yak Back) or way too complex (Tascam). I want to make him something that has a simple interface, few buttons, and simple recording/mixing. The idea is to avoid the software programs like Garage Band and Logic.

[0] https://en.wikipedia.org/wiki/Yak_Bak

[1] https://tascam.jp/int/product/dp-004/top

I've had some breakthroughs with LLM translation, and I can now translate (slowly, unfortunately) at a far far higher quality than Opus, and well above DeepL. So I'm considering offering that as an API, though I don't know how much people actually care about translation quality.

DeepL's customers clearly don't care - their website is all about enterprise features, and they appear to get plenty of business despite their core product being mediocre.

Would people here be interested in that?

It's grown over a dozen or so years and when I finally decide to compile into a book, everyone now uses AI and no longer read and learn from books but instead through LLMs.

This is especially valuable in workflows where verification of LLM extracted information is critical (e.g. legal and finance). It can handle complex layouts like multiple columns, tables and also scanned documents.

Planning to offer this both as an API and a self-hosted option for organizations with strict data privacy requirements.

Screenshot: https://superdocs.io/highlight.png

Some examples:

- A minimal C shell with built-ins like cd, pwd, type: https://gist.github.com/rrampage/5046b60ca2d040bcffb49ee38e8...

- Terminal Snake game which fits in a QR code using Linux syscalls for drawing: https://gist.github.com/rrampage/2a781662645dc2fcba45784eb58...

- HTTP server with sendfile support in ARM64 assembly: https://gist.github.com/rrampage/d31e75647a77badb3586ebae1e4...

I learned to handcraft a static ELF binary using just GNU assembler (no linker): https://gist.github.com/rrampage/74586d0a0a451f43b546b169d46... . Trying to see if I can craft a small assembler in ARM64

Reading through the Terms of service in websites is a pain. Most of the users skip reading that and click accept. The risk is that they enter into a legally binding contract with a corporation without any idea what they are getting themselves into.

How it started: I read news about Disney blocking a wrongful death lawsuit, since the victim agreed to a arbitration clause when they signed up for a disney+ trial.

I started looking into available options for services that can mitigate this and found the amazing https://tosdr.org/en project.

That project relies on the work of volunteers who have been diligently reading the TOS and providing information in understandable terms.

Light bulb moment: LLM's are good at reading and summarizing text. Why not use LLMs for the same. That's when I started building tosreview.org. I am also sending it for the bolt.new hackathon.

Existing features: Input for user entered URLs or text Translation available for 30+ languages.

Planned features: Chrome/firefox extension Structured extraction of key information ( arbitration enforced , jurisdiction enforced etc).

Let me know if you have any feedback

Another Moby-Dick of mine is Kadessh, the SSH server plugin of Caddy, formerly known as caddy-ssh. This one is an itch. I wrote about it here https://www.caffeinatedwonders.com/2022/03/28/new-ssh-server..., and the repo is here: https://github.com/kadeessh/kadeessh. Similar to the other one, feedback and helping hands are sorely needed.

They are both sort of an obsession and itches of mine, but between dayjob and school, I barely have a chance to have the clear mind to give them the attention they require.

https://flowery.app/books

The library of public domain classics is courtesy of Standard Ebooks. I publish a book every Saturday, and refine the EPUB parser and styler whenever they choke on a book. I’m currently putting the finishing touches to endnote rendering (pop-up or margin notes depending on screen width) so that next Saturday’s publication of “The Federalist Papers” does justice to the punctilious Publius.

Obligatory landing page for the paid product:

https://flowery.app/vocabulary-building

First we built it as a tool to fix any bug. After talking to a few folks, we realized that it is too broad. From my own personal experience, we realized how messy it is within organizations to address accessibility issues. Everybody scrambles around last minute. No body loves the work - developers, PMs, TPMs etc. And often external contractors or auditors are involved.

Now with Workback, we are hoping to solve the issues using the agentic loop.

If you personally experienced this problem, would love to chat and learn from your experience.

[1] https://workback.ai

- Create your own PDF editor with custom UI with the help of public methods which are exposed in the web component.

- You can add dynamic variables/data to the templates. What this means is you create one template, for example, a certificate template with name and date as variables and all you have to do is upload your CSV / JSON of names and dates, and it will generate the dynamic PDFs for you.

- It's framework-agnostic. You can use this library in any front-end framework.

It's still in early development, and I would love to connect with people who have some use cases around it.

I have integrated this library in one of our projects, Formester. You can see the details here https://formester.com/features/pdf-editor/

I have posted this demo video for reference https://www.youtube.com/watch?v=jorWjTOMjfs

Note: Right now it has very limited capabilities like only adding text and image elements. Will be adding more features going forward.

While Cursor stops after writing great code, Vide goes the extra mile and has full runtime integration. Vide will go the extra mile & make sure the UI looks on point, works on all screen configurations and behaves correctly. It does this by being deeply integrated into Flutters tooling, it's able to take screenshot/ place widgets on a Figma-like canvas and even interact with everything in an isolated and reproducible environment.

I currently have a web version of the IDE live but I'm going to launch a full native desktop IDE very soon.

I've been thinking a lot about the current field of AI research and wondering if we're asking the right questions? I've watched some videos from Yann LeCun where he highlights some of the key limitations of current approaches, but I haven't seen anyone discussing or specifying all major key pieces that are believed to be currently missing. In general I feel like there's tons of events and presentations about AI-related topics but the questions are disappointingly shallow / entry-level. So you have all these major key figures repeating the same basic talking points over and over to different audiences. Where is the deeper content? Are all the interesting conversations just happening behind closed doors inside of companies and research centers?

Recently I was watching a presentation from John Carmack where he talks about what Keen is up to, but I was a bit frustrated with where he finished. One of the key insights he mentions is that we need to be training models in real-time environments that operate independently from the agent, and the agent needs to be able to adapt. It seems like some of the work that he's doing is operating at too low of an abstraction level or that it's missing some key component for the model to reflect on what it's doing, but then there's no exploration of what that thing might be. Although maybe a presentation is the wrong place for this kind of question.

I keep thinking that we're formulating a lot of incoherent questions or failing to clearly state what key questions we are looking to answer, across multiple domains and socially.

Tail calls between different VM functions are the next challenge. I'm going to somehow have it allocate the VM instance in the same space (if the frame size of the target is larger than the source, "alloca" the difference). The arguments have to be smuggled somehow while we are reinitializing the frame in-place.

I might have a prefix instruction called tail which immediately precedes a call, apply, gcall or gapply. The vm dispatch loop will terminate when it encounters tail similarly to the end instructions. The caller will notice that a tail instruction had been executed, and then precipitate into the tail call logic which will interpret the prefixed instruction in a special way. The calling instruction has to pull out the argument values from whatever registers it refers to. They have to survive the in-place execution somehow.

Been a freelance dev for years, now beginning a "sabbatical" (love that word).

Planning to do a lot of learning, self-improvement, and projects. Tech-related and not. Preparing for the next volume (not chapter) of life. Refactoring, if you like, among other things.

I'm excited.

In Singapore, the system is heavily academic. You're expected to follow a rigid path (PSLE → JC → Uni → job), but no one teaches you how to think about what kind of life you want to live—or how to create it. That leaves many people feeling lost, even if they’re “on track.”

This platform flips that. It starts with the big picture: *“When you’re 90, what do you want your life to have looked like?”*

From there, users create a personal timeline of milestones across life domains: health, relationships, learning, impact—and now, *financial freedom.*

The app helps users:

1. Set long-term visions, then break them into clear, visual milestones

2. Use an AI assistant to suggest weekly actions and recalibrate as life evolves

3. Voice journal instead of typing; the AI transcribes and flags patterns (“You mentioned burnout 5x this week. Want to add a rest week or revise your work goals?”)

4. Track basic finances and align spending/saving to long-term goals (“You want to take a year off at 30. At this pace, you’ll have the runway by 32. Want to adjust?”)

5. Get matched with mentors or peer circles for guidance and accountability

The goal is not to “optimize” life like a spreadsheet. It’s to help people reflect, take control, and become someone they’re proud of.

If you’ve worked on anything in this space—journaling, goal tracking, financial wellness, coaching—I’d love to learn:

A. What made your tool stick long-term?

B. How did you balance simplicity with depth?

C. Any design or product traps I should avoid?

Appreciate any thoughts, questions, or brutal feedback.

This is something I’ve needed myself over the last few years as jobs become shorter and shorter lived. Keep on improving it as some kind of compulsion.

The idea came from noticing how most people manage money day to day: checking their balance, adjusting by feel, trying not to drift. There are tons of tools for planning or categorising, but not much that fits that kind of improvised pacing.

Still early, but trying to shape it around those habits – to make something simple and steady, that supports how people already do things.

https://lang.money

Currently I'm stuck implementing a storage combinator with EiffelWebFramework[4]

[0] https://dl.acm.org/doi/abs/10.1145/3359591.3359729

[1] https://scholar.google.com/citations?view_op=view_citation&h...

[2] https://en.wikipedia.org/wiki/Eiffel_(programming_language)

[3] https://github.com/EiffelWebFramework/EWF

- Supports markdown every where, even in your comments and replies.

- Get notified.

- Personalized feeds.

- Lightning fast & mobile first.

Trying to document and map as much of the publicly accessible stained glass as possible. The goal being the next time you visit a new city or town, you'll know where all the beautiful stained glass is to go see. Just recently added support for countries outside of North America. No exciting tech (vanilla HTML/CSS/JS). But excited for folks to check it out!

I am using cerebras for book translations and verb extraction and all LLM related tasks. For TTS I am using cartesia. I have played around with Elevenlabs and they have slightly natural sounding TTS but their pricing is too steep for this project. Books would cost a couple of hundred euros to process.

[1] https://www.fisherloop.com/en/

https://www.npmjs.com/package/@mindpilot/mcp

Claude Code Quickstart:

``` claude mcp add mindpilot -- npx @mindpilot/mcp ```

While apps like Parkopedia and SpotAngels tackle the same problem, their one-size-fits-all approach often results in incomplete, missing, or outdated data. My approach is different: go deep on one city at a time by combining multiple publicly available datasets. This doesn't scale horizontally since each city has different data sources and formats, but the goal is to become the definitive parking resource for one city, build automation to keep it current, then methodically expand city by city.

If you are based in Vancouver, do give it a go. Your feedback would be awesome!

I am experimenting with the current SOTA multimodal LLMs, but performance is still not yet there, they still hallucinate non-existent teeth. (As an aside, I have found a simple but very telling test, I have an image with only 4 teeth visible up and 10 down, so I prompt the modal to count, non have been able to, but Gemini 2.5 pro is the closest of the lot, performance is worse in the description when the counting test fails).

I am going to try segmenting the image to see if I will have better results by prompting to describe segment by segment.

More specifically, I'm trying to use pitch (F0) to dynamically adjust the theta parameter in rotary positional embeddings, so the frequency of the positional encoding reflects the underlying pitch contour of the speech and instead of using a fixed unit circle (radius=1.0) for complex rotations, I'm trying to work out how to use variable radii derived from the pitch. The idea is to create acoustically-weighted positional encodings, where the position reflects the acoustic salience in the original audio. https://github.com/sine2pi/asr_model

As a data engineer, I regularly have to dig through massive files to debug issues or validate assumptions — things like missing column values, abnormally large timestamps, inconsistent types, or duplicate records. It’s tedious and time-consuming, and that’s what led me to build this.

ZenQuery makes it quick and easy to explore data locally, without needing to spin up notebooks, write scripts, or upload anything to the cloud. It’s also useful for doing lightweight analytical QA if you're working with business data.

Happy to answer any questions.

I need to put it up on the ol' blog-thing, but I've signed a contract with a small press for a debut novel, which is highly exciting. That one's urban fantasy from the point of view of the wizard's magic cloak. (You better believe it has opinions.)

Meanwhile, I've been working on a novel about a group of time travelers who accidentally get stuck in the Permian, well before the dinosaurs. Surprise! There are still big animals that can eat you, they're just more weird (and not as big). The research for that one has been wild.

The ol' blog thing, where I post story-related tidbits and such: https://rznicolet.com

— it turns ebooks, articles, and documents into synchronized audio with real-time text highlighting. It’s great for people who prefer listening while reading (or want to stay focused), and it works fully offline with a one-time purchase — no subscriptions.

I’m bootstrapping it and trying to figure out how to market it effectively. So far, I’ve had some traction and early sales just by posting on Reddit, but I’m still learning the marketing side — especially how to reach people who’d benefit from it most.

Would love to hear how others approached early growth for similar bootstrapped tools.

We're also working on the Premed Super App, same thing for people taking medical school entry exams like the MCAT or MDCAT.

I get to work with a bunch of top notch students and doctors, and I myself am the first ever full-stack technologist who also is a doctor in Pakistan, a country of 250 million people.

I want to publish it on Google play, but I need testers. If anyone cares about budgeting, I'd love to get some feedback.

Here's the app link: https://play.google.com/apps/testing/dev.selfreliant.wasa_bu...

I don't think you can download it without being added to my testers list though. Send me your Gmail address if you're interested!

I did a screenshare demo of it yesterday: https://www.youtube.com/watch?v=GQzDfrdf71Y

Also, every region has different ways of representing a “neighbourhood”, so I get to learn how to extract viable data from each city. Lots of map stuff, I’m genuinely enjoying it!

https://chromewebstore.google.com/detail/relevant/fdhnccpldk...

Two months ago I posted an update that I had begun work on my Chrome extension [1] for Relevant. Relevant is a crowdsourcing website where users can categorize the channels they watch into a defined hierarchy of categories ranging from broad topics like "Science" and "Gaming" to more specific ones like "Phone Reviews" or "Speedrunning".

Although I had a little bit of engagement on the website, I found myself looking for something that could bring the experience onto YouTube, so I began work on a Chrome extension. It turns out there's a lot more complexity in building a Chrome extension than I realised. It's basically like building a website for the popup window, a javascript server for the background service workers and a message bus for the service worker.

After 2 months' of working weekends, I finally released a version of it that lets users see the categories of the content on the page, discover more channels matching those categories and contribute to the categorisation effort!

[1]: https://news.ycombinator.com/item?id=43822671

https://github.com/zabirauf/mcp-trace

As there is no open source version of Excel except Libreoffice, working to build the core Excel functionality with other open source packages. Then bringing in agentic editing functionality for real world data.

What is also has been interesting is to introduce banker/consultant formatting guidelines to the agent and making it beautify its work whether in tables or models.

It helps you track, understand, and plan your personal finances — with a proper accounting foundation.

It's interesting in many way. Using double-entry (it's a perspective shift), the technical challenges of building local-first app, UI/UX & visualizations, privacy and more.

https://linkshof.com

Thinking about:

How will various Human Computer Interaction change as many of current apps (which are screen based UI with some background code) simply get replaced with chat/voice/gesture based requests to LLM

A Lucene-based search engine on top of S3 block storage.

Index schema is immutable (but supports migrations), so you cannot just screw up your index.

Separate indexer/searcher tiers, so heavy indexing load does not affect search latency.

And embedding/reranker local inference, so you can run the whole AI search within a single docker container.

The site itself isn't anything "special." I've had a personal website for about 25 years; the past few years I finally moved from making HTML by hand to using various CMSes. I tried a "no database" CMS that my hosting page had, then I wrote my own CMS, https://github.com/GWBasic/z3, to learn node.js, but then I had to go back because Heroku dropped the free tier.

Jekyll is interesting. As a Mac user, I'm surprised there isn't a push-button app, like MAMP, to just run it. Instead, I got exposed to some weirdness with Ruby versioning that, because I don't have any Ruby experience, was frustrating.

The default Jekyll template has warnings, but when I tried to fix them, I ended up jumping into a rabbit hole of sass versioning.

I also ended up jumping into a rabbit hole with setting up redirects from old urls on my blog to their new locations. I don't touch Apache / cpanel that often, so there was a bit of a learning curve for me.

One funny thing was that I set up two redirects, in cpanel, from the same url to two different urls. (It was a mistake!) I couldn't delete them, so I had to submit a service request with my host.

Two interesting things that I do not have time to do:

- Set up Github actions to deploy on my original host (andrewrondeau.com) - Set up redirects from blog.andrewrondeau.com -> andrewrondeau.com

The goal is quite simple, allow developers to host their application with easy straight forward pricing. We are about to launch very soon. Everything is built on Laravel/PHP.

We are open to beta testers, so if you feel you want to test this please drop me and email in my profile.

An AI-native DocuSign

It's been around a month I've been working on it. Struggling with getting people to actually use it - this week I've set the ambitious goal of 10 new contracts sent *and completed* by people I don't know (last week's was 10...by people I do know).

It's hard because I feel I'm in a weird hole - in order to have a good product I need people to use it and give me feedback, but in order for people to use it and give me feedback I need a good product. It's like wth!

Another thing I'm struggling with - enjoying the process. I get daydreams like mad. I feel I'm always living in the future in some way, especially with this software, and it's taking away from being present in this work. Which sucks, because I want to be excited to *work* on this and NOT fake my own excitement towards this as a manifestation of my greed to get rich off it.

But MAN am I greedy. It's ugly sometimes, to myself.

But god how I love to work on software also. How I love making stupid bash commands on my terminal. How I love to feel like the old gods, who conquered the infant digital world.

I'm trying to see if I can "get away with it": no schema migration, no fixed views, one tenant per DB, local-first-friendliness.

The general approach is "Datomic meets XTDB meets redplanetlabs/Rama meets Local First". Conceptually, the lynchpin "WORLD FACTs" table looks like this:

  | tx_id  | valid_id | tx_t    | valid_t | origin_t | entity | attribute | value | assert | namespace     | user | role |
  |--------+----------+---------+---------+----------+--------+-----------+-------+--------+---------------+------+------|
  | uuidv7 | uuidv7   | unix ms | unix ms | uuid7    | adi    | problems  | sql   |      1 | org.evalapply | adi  | boss |

A workshop I've been experimenting with, using willing friends as guinea pigs. To help people remove friction from being able to "spool brain to disk". The sales-y part is here, with more context / explanation about what it is about and what it is not about: https://www.evalapply.org/index.html#writing-for-nerds

You upload interviews with family members (text, audio or video all work) and the system automatically transcribes the text, finds key people or events, and puts it together with other information you may have gathered about those events or people before. Like building a genealogical tree but with the actual details about people's lives.

In the works to also attach pictures of said people and events to give it some life.

I live in Switzerland and am (like many people here) an avid hiker. There are a lot of great hiking websites but they all suffer from the same problem: They are ultimately just a list of hiking routes that you need to plan around. Because I do a hike almost every week, the extra planning has become an overhead that takes time out of my life: how far away is it, what train should I take, whats the weather situation like, do I need to bring snowshoes, etc. The 65,000km of trails in this country also gives me decision paralysis!

So I'm building an app (React native/django) which takes a users current situation and preferences and then algorithmically suggests a few best options for them that they can quickly give a yes/no to. It's integrated with a lot of data like the train timetables, snow data, weather forecast etc.

I was able to reduce an hour of planning down to 5 minutes last week, so it's definitely working for me. What I am currently trying to do is figure out if other people have this problem and there's interest in the app concept.

That's why I am building Overcentric - a simple and affordable toolkit that combines web & product analytics, session replays, error reporting, chat support and help center - all in one place.

Been building it and testing with several startups and improving based on their feedback. I am also using Overcentric for Overcentric itself, so I always get ideas for improvement.

What's next: more tools that are useful for startups are on the roadmap and I am exploring how LLMs can be further utilised (apart from support, session replay summaries, aiding in writing help center articles) and refining pricing.

Check it out at https://overcentric.com/

Would love to connect with other SaaS founders and have Overcentric help them grow their startups.

My next item is to add AbuseIPDB IP addresses to my "Uninvited Activity"[1] IP address blocking system, implementing xRuffKez's script here: https://github.com/xRuffKez/AbuseIPDB-to-Blackhole

Unfortunately, but also understandably, AbuseIPDB limit their free-access (account required) API to 10,000 IP address records. So I might be putting it into a database to hopefully aggregate multiples of the 10k results if they're not always the same 10k.

[0]: https://github.com/UninvitedActivity/PiHoleLists

[1]: https://github.com/UninvitedActivity/UninvitedActivity

FOSS toolkit for SRS and adaptive tutoring systems. Inching closer to proper demos and inviting usage.

In essence, I'm looking to decouple ed-tech content authoring (eg, a flash card, an exercise, a text) from content navigation (eg, personalizing paths and priorities given individual goals and demonstrated competencies), allowing for something like a multi-sided marketplace or general A/B engine over content that can greatly diminish the need to "build your own deck" for SRS to be effective.

Project became my main focus recently after ~8 years of tiny dabbling, and I've largely succeeded at pulling spaghetti monolith into a sensible assembly of packages and abstractions. EG, the web UI can now pull from either a 'live' couchdb datalayer or from statically served JSON (with converters between), and I'm 75% through an MVP tui interface to the same system as well.

https://github.com/dahlend/kete

Research grade orbit calculations for asteroids and comets (rust/python).

I began working on this when I worked at caltech on the Near Earth Object Surveyor telescope project. It was originally designed to predict the location of asteroids in images. I have moved to germany for a PhD. I am actively extending this code for my phd research (comet dust dynamics).

Its made to compute the entire asteroid catalog at once on a laptop. There is always a tradeoff between accuracy and speed, this is tuned to be <10km over a decade for basically the entire catalog, but giving up that small amount of accuracy gained a lot of speed.

Example, here is the close approach of Apophis in 2029:

https://dahlend.github.io/kete/auto_examples/plot_close_appr...

Been working on this for a while, with the aim of making something simple and immediately usable. Components are JS functions, containing UI that is (mostly) HTML, with reactivity only done through proxied objects.

To test it out I built a distributed social media/microblog site called Redraft: https://redraft.social (https://github.com/andrewjk/redraft)

Self-hostable or hosted for a fee, all your posts stored in an SQLite file, comment/like/react on other people's Redraft posts via a Web extension (pending approval, but you can use the unpacked version from source).

Both are in a pretty rough state, but usable for the intrepid.

I’d estimate 30-40% of their S3 bill could be eliminated just by properly compacting and sorting the data. I took it as an opportunity to learn DuckDB, and decided to build a tool that does this. I’ll release it tomorrow or Tuesday as FOSS.

- Migrating to Niri on my laptop and re-evaluating my literate config approach, switching from xkb configs to kanata and a few other QOL changes to make my tooling more composable and expressive

- Shoring up my blog / media sharing infrastructure (migrated to a landing page on an s3 bucket, with different prefixes for several different hugo deployments for different purposes, still need to get better about actually posting content)

- Preparing to migrate a bunch of my self-hosted services to a k8s cluster which can can be fully deployed locally for testing and defined in code. All this is managed through argo and testable with localstack and crossplane for some non-local resources

- Attempting (somewhat unsuccessfully) to setup a nixos config for a bunch of services that just don't feel right to run in containerized stack that I want to live in ec2 and have as close to 100% uptime as possible (uptime kuma, soju/weechat relay/bitlbee, conduit, radicale, agate, whatever else I think of that is small and has a built-in nixOS service module. Thinking about some kind of RSS aggregating solution here as well)

- Experimenting with vibecoding by trying to get an LLM to do the legwork to build a TUI interface to ynab using rust (which I don't know how to write)

I'm hoping that by the end of this summer most of the tooling I use for most things will be way more concrete and seamless. I also want to get my workflows down and get on top of converting at least a few the ~100 draft blog posts I have laying around into something I can actually post. Ditto for my photography albums, which are not yet organized into coherent groupings or exported for web.

To highlight the syntax in the browser I checked out the CodeMirror project that uses Lezer grammars. It is very flexible and allowed me to implement additional features like custom folding. [2]

I would also like to create a grammar for tree-sitter, finish the Java implementation and documentation of the ESON parser before I try to implement it in other languages.

[1] https://gitlab.com/marc-bruenisholz/eson-textmate-bundle [2] https://gitlab.com/marc-bruenisholz/eson-lezer-grammar

A bit of background: I have been working on a Raga classifier since November of last year - I started with just 2 ragas and a couple megabytes of audio. After experimenting with a lot of different ideas and Neural Net Architectures, I finally landed on one that could scale. I increases to 4 ragas, then 12, then 25 and then to 65.

All the training is done locally on my desktop (RTX4080, AMD 7950X, 64G RAM). My goal is to make an app for fast inferencing (preferably CPU) and to get this app in the hands of enthusiasts so that I can get some real data on its efficacy. If that goal is hit, then my plan is to iterate and keep increasing the raga count on the model and eventually release to the public. As long as I can get the model to either run locally or for very cheap on server, I hope to not charge for this.

It has been an amazing learning experience. The first time I got a carnatic singer to sing and the model nailed almost all ragas was the highest high I've felt in a while.

If anyone's interested in that kind of thing:

https://massiveimpassivity.substack.com/p/softcore-how-nobod...

We initially built it for Shopify, but now it’s fully embeddable, supports headless implementations, and integrates with tools like Klaviyo, Zapier, n8n, and Snowflake. One thing we’re especially proud of is how fast and unobtrusive it is: polls load async, don’t block rendering, and are optimized for mobile and low-latency responses.

From a tech angle:

Frontend is all React, optionally SSR-safe.

Backend is Node.js + Postgres, with a heavy focus on queueing + caching for real-time response pipelines.

API-first design (public API just launched: apidocs.zigpoll.com).

We recently open-sourced our n8n integration too.

If you're a dev working on ecom, SaaS, or even internal tooling and need a non-annoying way to collect structured feedback, happy to chat or get you set up. Feedback welcome — especially critical stuff. Always looking to improve.

Basic goals:

- Web based for zero update latency

- Have it work offline

- Automatically import transactions from my banks

- No running/hosting cost

- Secure

Tools used so far:

- InstantDB for the datastore, providing the offline capability too

- A gmail account that automatically gets forwarded bank alerts for purchases

- Gitlab.com w/scehduled pipelines for cron based email-syncing

- Netlify for the free hosting

- InstantDB magic codes / email links for securing the data

I'm at the point where I can track and categorize purchases, including split transactions.

Next steps:

- Add in date ranges for reporting / data views; e.g. show expenses incurred in a one month period instead of for all time.

- Add in planned / project transactions for month forecasting

- Statement import & import reconciliation and statement reconciliation

- Scrape company specific digital reciept emails (like Amazon) to autopopulate more transaction data

And that'll be the end of the stuff I can do for free. I think I will add features that require money and/or dedicated hardware though:

- OCRing receipts -> autopopulated transaction data / description

- Using chatgpt to suggest categorizations

- Scrape extra data from my bank sites, like physical addresses of entities involved in charges.

https://apps.apple.com/us/app/open-insure-self-insurance/id6...

It's B2B only - can't register with a free email provider, gotta own a real domain -Therefore identities are collective - companies, not company employees --Therefore all interactions are persisted at the org level rather than assigned to individual inboxes

-It allows you not just to talk but also to work together on contracts. We built a contract parser that turns contract clauses into smart, plain language objects

We're calling it Geneva and doing a friends/family/acquaintances exploratory release as I type this.

http://genevabm.com http://x.com/genevab2b https://www.linkedin.com/company/genevabm/

My secret agenda is to explore how the "information supply chain" can be tracked across the data-processing stack all the way from the original audio through transcription, the processing pipeline, and UI. I'm using language models for multi-stage summarization and want to be able to follow the provenance of summaries all the way back to the transcripts and original audio.

[1] https://yuri.is/n/podcast-vibes-prototyping/

[2] https://yuri.is/n/podcast-vibes-presentation/

The premise is that when I read social spaces like Reddit or X, if the government has done anything contentious you get nothing more than strident left takes, or strident right takes on the topic. Neither of which is informative or helpful.

So I have set up a site which uses AI which is specifically guided to be neutral and non-partisan, to analyses the government actions from the source documents. It then gives a summary, expected effect, benefits and disadvantages, and ranks the action against 19 "things people care about" (e.g. defence, environment, civil liberties, religious protection, etc.)

The end result is quite compelling. For example here's the page that summarises all the actions which are extremely beneficial or disadvantageous to individual liberties: https://sivic.life/tyca/tyca_individual_liberties/

http://youtube.com/@dreamwieber

In parallel I'm working on a bunch of apps for Vision Pro -- my most well-known at the moment being Vibescape which was featured recently by Apple: https://youtu.be/QcTiDBtCafg

To round this out, my wife and I are converting a historic farm in the Pacific Northwest to regenerative agriculture practices. So far we've restored over 20 acres of native ecosystems.

If that's interesting to you there's a channel here:

http://youtube.com/@cleryfarm

I discovered that VSCode has a very nice solution so I pulled the core VSCode libraries and injected them into a Chrome extension using the dependency injection, ipc / rpc, eventing to bridge the gap between all of these isolated JS contexts and expose a single, strongly‐typed messaging API, my IPC/RPC shim sits on top of each of the native environments and communication mechanisms.

Yesterday, Microsoft released the source code for the Copilot chat. Apparently, since the basis of my Chrome extension is the same core libraries I can drop the VSCode chat UI into the side panel without much friction. Although, I might continue to use Microsoft's FluentUI chat currently implemented in the extension.

Because Copilot chat has a lot of code that runs in node in Electron, now I'm working in porting all the agent capabilities for browser automation from the Copilot chat including the code for intent, prompt creation, tools, disambiguation, chunking, embedding, ect. I'm 4 to 6 weeks away from having feature parity of Playwright for automation from a Chrome extension side panel that can do most of the inference using huggingface transformer.js locally. Nonetheless, heuristics exposed as tools such that if the intent is playing a video, all that is required is a tool that collects all the video tags and related elements with metadata. No need to use $10 in tokens to figure out which video element to play.

Yeah, I think I'm 4 to 6 weeks away from having a Copilot chat in a browser doing agent automation.

If you want to see where I'm at today, https://github.com/adam-s/doomberg-terminal.

Most employee engagement software is just placation for HR. When it's common that the lowest scoring question on feedback cycles is "I believe that action will be taken based on the results of this feedback," there's something fundamentally broken with how companies handle feedback, and how the tools their given enable them to react to it.

Our end goal is to help leaders and managers identify problems with trust and communication within a team. The reality is, 90% of the time, the problem lies with the leadership itself. We're trying to provide both the tools to diagnose what the problems are, and frameworks for managers to fix them.

The big trick or the language is that it doesn't hide the pipelining you have to do to up your FMax, instead, you can manually add register stages in the places they're important, and the compiler will synchronize the other paths.

A really neat trick with this pipelining system is that submodules can respond to the amount of pipelining around them (through inferring template parameters). This way the programmer really doesn't have to think about the pipelining they do add. Examples are a FIFO's almost_full treshold, inferring how many simultaneous state there needs to be for a pipelined loop, inferring the depth of BRAM shift regs, etc.

https://sus-lang.org

https://github.com/pc2/sus-compiler

Conjtest is a policy-as-code CLI tool which allows you to run tests against common configuration file formats using Clojure. You can write policies using Clojure functions or declarative schemas against many common configuration file formats such as YAML, JSON, HCL, and many others (full list in repo).

Under the hood, it uses Babashka and SCI (Small Clojure Interpreter) to run the policies and Conftest/Go parsers for compatibility with Conftest (https://www.conftest.dev/). It’s also possible to bring your own parser or reporting engine using Babashka scripting.

The initial big pieces are in place now, I’m preparing my end of the year to talk about Conjtest and get some feedback/issues to work on.

Even though I made it as a toy/proof of concept, it's turned out to be pretty useful for small to medium size projects. As I've used it, I've found all kinds of interesting benefits and helpful usage patterns. I've tried to document some; I hope to do more soon.

--https://rethinkingsoftware.substack.com/p/the-joy-of-literat...

--https://rethinkingsoftware.substack.com/p/organic-markdown-i...

--https://rethinkingsoftware.substack.com/p/dry-on-steroids-wi...

--https://rethinkingsoftware.substack.com/p/literate-testing

--https://www.youtube.com/@adam-ard/videos

The project is at a very early stage, but is finally stable enough that I thought it'd be fun to throw out here and see what people think. It's definitely my own unique spin on literate programming and it's been a lot of fun. See what you think!

It creates all the necessary boilerplate to generate PHP Docker containers, creates all of the MySQL users, and sets up all of the directory structures to get a new website up and running. It even helps set up SFTP users and gets letsencrypt certificates set up with certbot.

It's still very early days, but I appreciate that what used to be a bunch of commands that I would run by hand and slightly change every few months is now pretty much just all self contained. Should mean the next migration to a different server is easier.

Created in frustration because I was too cheap to pay the $50/month for a cPanel license.

https://github.com/timgws/domain-manager

The ADHD-friendly AI personal assistant for notes, email, and calendar.

Where you can just chat to search notes, manage emails, and schedule tasks. It proactively plans your day every moring and checks in to help you stay on top of everything.

Next up is a small lamp for migraines. I noticed that dim red light is much more tolerable to me than anything else. I mean obviously, darkness is ideal, but you need to do other stuff like eat and drink eventually if it's a persistent one.

So I designed a quick circuit to use fast PWM (few Mhz, so no flicker) to control a big red LED. I'd like it to be sturdy and still functional in 50-100 years, so made some design choices for long-term durability. No capacitors, replaceable LED and so on.

A simple project, but it's a busy month and I need something easy this time.

Examples wiki: https://github.com/scottvr/pbngen/wiki

The code: https://github.com/scottvr/pbngen

https://www.inclusivecolors.com/

The idea is it helps you create palettes that have predictable color contrast built-in, so when you're picking color pairs for your UI/web design later, it's easy to know which pairs have accessible color contrast.

For example, you can design your palette so that green-600, red-600, blue-600, all contrast against grey-50, and the same for any other 600 grade vs 50 grade color, like green-600 vs green-50.

That way you won't run into failing color contrast surprises later when you need e.g. an orange warning alert box (with different variations of orange for the background, border, heading text and body text), a red danger alert box, a green success alert box etc. against different color backgrounds.

Why? I don’t like Discourse and Flarum that much. I want an even simpler solution with fewer bells and whistles.

But I guess the market is dead anyways for forums. I might replace my phpBB instance that has been running for 15 years.

I welcome feedback, just keep in mind that this is a work in progress, and I haven't even reviewed it for clarity and typos.

We built it because managing cloud budgets often turns into a spreadsheet mess, or worse, a never-ending consulting engagement. OneBliq lets you:

* Split and allocate Azure costs by cost centers, teams, or projects

* Visualize current spend and attention areas at a glance

* Experiment with plans and projections without complex tooling

* Skip sales calls and long onboarding – just install and kick the tires

It's still early, but we're seeing traction with teams who want clarity without complexity. Happy to answer questions, share more, or get feedback.

Would love your thoughts – what would make a tool like this useful (or useless) for you?

Most recently have been focused on better geographic visualizations in the public studio for people to experiment - getting decent automatic lat/long, want to have easy path visualizations (start/end, etc). More AI-accelerated options as well, especially around model authoring.

Repo: https://github.com/trilogy-data/pytrilogy Studio: https://trilogydata.dev/studio-core/

[1] https://www.omiword.com

[2] https://news.ycombinator.com/item?id=43654350

[3] https://news.ycombinator.com/item?id=44075038

Started as a very simple app for me to play around with OpenAI’s API last year then morphed into a portfolio project during my job search earlier this year. Now happily employed but still hacking on it.

Right now, a user can create a quiz, take a quiz, save it and share the quiz with other people using a URL.

Demo: You can try out the full working application at https://quizknit.com

Github Links: Frontend: https://github.com/jibolash/quizknit-react , Backend: https://github.com/jibolash/quizknit-api

I store the chunks in a custom-built database (on top of riak_core and Bitcask), and I have it automatically also make an HLS stream as well. This involved remuxing the AAC chunks into MPEG-TS and dynamically create the playlist.

It's also horizontally scalable, almost completely linearly. Everything is done with Erlang's internal messaging and riak_core, and I've done a few (I think) clever things to make sure everything stays fast no matter how many nodes you have and no matter how many concurrent streams are running.

The thing is, we’ve been retrofitting software made for humans for machines, which creates unnecessary complications. It’s not about model capability, which is already there for most processes I have tested, it’s because systems designed for people are confusing to AI, do not fit their mental model, and making the proposition of relying on agents operating them a pipe dream from a reliability or success-rate perspective.

This led me to a realization: as agentic AI improves, companies need to be fully AI-native or lose to their more innovative competitors. Their edge will be granting AI agents access to their systems, or rather, leveraging systems that make life easy for their agents. So, focusing on greenfield SaaS projects/companies, I've been spending the last few weeks crafting building blocks for small to medium-sized businesses who want to be AI-native from the get-go. What began as an API-friendly ERP evolved into something much bigger, for example, cursor-like capabilities over multiple types of data (think semantic search on your codebase, but for any business data), or custom deep-search into the documentation of a product to answer a user question.

Now, an early version is powering my products, slashing implementation time by over 90%. I can launch a new product in hours supported by several internal agents, and my next focus is to possibly ship the first user-facing batch of agents this month to support these SaaS operations. A bit early to share something more concrete, but I hope by the next HN thread I will!

Happy to jam about these topics and the future of the agentic-driven economy, so feel free to hit me up!

It's called Heap. It's a macOS app for creating full-page local offline archives of webpages in various formats with a single click.

Creates image screenshot, pdf, markdown, html, and webarchive.

It can also be configured to archive videos, zip files etc using AppleScript. It can do things like run JavaScript on the website before archiving, signing in with user accounts before archiving, and running an Apple Shortcut post archiving.

I feel like people who are into data hoarding and self host would find this very helpful. If anyone wants to try it out:

https://apps.apple.com/ca/app/heap-website-full-page-image/i...

Surprisingly the blocker has been identifying notes from the microphone input. I assumed that'd have been a long-solved problem; just do an FFT and find the peaks of the spectrogram? But apparently that doesn't work well when there's harmonics and reverb and such, and you have to use AI models (google and spotify have some) to do it. And so far it still seems to fail if there are more than three notes played simultaneously.

Now I'm baffled how song identification can work, if even identifying notes is so unreliable! Maybe I'm doing something wrong.

a Slack and Discord app to help take turns (i.e. queue) with your teammates, overwhelmingly used for sharing tech resources like staging servers. It's crazy something that started so tiny (almost as a joke for my old workplace) has grown into my main "thing".

https://tfstate.com

an infrastructure configuration monitoring solution for terraform/opentofu managed stacks. I am unsure how to proceed with this tbh. It's sort of the underdog in this space - it's much cheaper than the competitors. But really, it's yet to make a dent.

(I am maybe prowling around for something new to build)

At any given time, she’s working with any number of clients (directly or subcontracted, solo or as part of a team) who each have multiple, simultaneous marketing campaigns across any number of channels (google/meta/yelp/etc), each of which is running with different parameters. She spends a good amount of time simply aggregating data in spreadsheets for herself and for her clients.

Surprisingly we haven’t been able to find an existing service that fits her needs, so here I am.

It’s been fun for me to branch out a bit with my technology selections, focusing more on learning new things I want to learn over what would otherwise be the most practical (within reason) or familiar.

I got tired of using the AWS console for simple tasks, like looking up resource details, so I built a fast, privacy-focused, no-signup-required, read-only, multi-region, auto-paginating alternative using the client-side AWS JavaScript SDKs where every page has a consistent UI/UX and resources are displayed as a searchable, filterable table with one-click CSV exports. You can try a demo here[1]

[1] https://app.wut.dev/?service=acm&type=certificates&demo=true

https://axonmesh.pages.dev/

https://www.nose-shapes.com Upload a selfie and an AI model classifies over a dozen nose types (Greek, button, fleshy, flat, etc.), plus tips on contouring and finding complementary glasses.

https://www.foundation-shade-finder.com Snap a photo and our AI analyzes your skin tone + undertone, then recommends exact foundation shades from brands like MAC, Fenty, L’Oréal, Estée Lauder.

https://www.golden-ratio-face.com Measures facial proportions against the "golden ratio" to reveal symmetry and aesthetic balance—perfect for beauty enthusiasts and content creators seeking visual harmony.

All of them are no‑login, instant‑result web tools. I'd love the get any feedback from accuracy and UI to feature ideas or niche extensions.

My hope is to make it easier to use a computer blind than with my usual workflow with a monitor.

But the environment made it hard to move fast. The systems were outdated, and there wasn’t much support for building AI tools in-house. That experience made me realize I needed to grow beyond the modeling layer. There were things I wanted to build, but I didn’t yet have the full skill set to do it on my own.

So I’ve been learning full stack development. I had built a small chatbot app before, but this time I’m applying what I’m learning toward a focused MVP for the inspection work. It’s been a practical way to connect what I know with what I want to make real.

Haven't released properly yet - not sure if it's stable but oh well.

I don't like using my personal email to sign up for things. But there are definitely things that I do want to sign up for - newsletters, try out some services.

I know there are temporary email services, but I actually want to use these services. Of course there is Apple email that forwards to your real email.

But, I also don't want to flood my inbox.

Anyway, I wanted to receive these transactional emails in my personal Slack.

So, that's what Fro is for (https://fro.app)

- Sign up - get an email address - link to your Slack channel

And you can now catch up on those newsletters via Slack.

The card maker has its own web site with the rules for playing all kinds of card games, and it's filterable by number of players, including many games for one person.

https://cassette.world/

https://www.youtube.com/watch?v=mwpg34oLvwU

When you post a listing (e.g., on Facebook, Kijiji), you get tons of “Is this still available?” messages — but no useful info. TenantFit lets landlords collect basic answers (income range, pets, lifestyle) via a public link, then ranks responses to highlight promising leads.

No accounts or sensitive info collected from tenants (landlord does not even see candidate email until they reply), just a quick pre-screen before deeper screening to save time.

USBSID-Pico is a RPi Pico (RP2040/W RP2350/W) based board for interfacing one or two MOS SID chips and/or hardware SID emulators over (WEB)USB with your computer, phone, ASID supporting player or USB midi controller.

More info at https://github.com/LouDnl/USBSID-Pico

A free app to find and post local games — sports, board games, etc. (solo side project)

As the project relies on AWS service, I have decided to not publish a free demo, as it would be exposed to abuse by sending all kind of images, not to talk about crazy billing. However, here is a screenshot on how does it display the receipt details:

https://ibb.co/pv2ksRhH

There is a raise on one article, and a down on some others

The project is built using Ruby on Rails and runs on docker. It is light enough to run on a cheap VPS.

Feel free to take a look on it: https://gitlab.com/cbolanos79/sbt_rails

Any constructive opinion/collaboration is welcome :)

The code is all open source on GitHub[1]. Really close to shipping now - hope to share launch details soon.

These monthly HN threads have been great motivation for me to keep building consistently. Thanks everyone!

[0]: https://twitter.com/vtdotai

[1]: https://github.com/vinhnx/vtchat

It's written in elixir using Phoenix live views. There's almost no custom Javascript outside of what that framework gives. First load may take a while because it's the cheapest tier of fly.io and boot loads all known ingredients and products in to memory.

One interesting lesson is to see the effort involved in acquiring new customers and setting up funnels, especially when bootstrapping with a small budget. Sometimes, as developers, we are in our bubbles and don't realize how much skill one needs to figure out the customer acquisition domain.

Plugin to convert Figma designs to React Native code fully client-side.

And a complimentary service that syncs the code directly to your filesystem in real-time, as well as an optional MCP server to flex the generated code to your codebase to fit your framework/libraries.

Source: https://github.com/kat-tax/figma-to-react-native

(includes cool tech like lightningcss-wasm for styles conversion and esbuild-wasm for client-side previews)

https://frottage.app/static/wallpaper-mobile-latest.jpg

https://frottage.app/static/wallpaper-desktop-latest.jpg

https://frottage.app/static/wallpaper-desktop-light-latest.j...

We just finished an android app, to set the wallpaper automatically on mobile: https://play.google.com/store/apps/details?id=com.frottage

I got the demo video produced, and a blog set up and seeded. You can see some of the science behind learning multiple languages at https://phrasing.app/blog/multiple-languages or follow my progress using Phrasing to learn 18+ languages at https://phrasing.app/blog/language-log-000

Now I’m working on the onboarding process, which I’m very excited about on both a product and a technical level. On the product level, it dovetails nicely into most of the shortcomings of the app. One solution to a dozen problems.

On the technical level, I’m starting to migrate away from reagent (ClojureScript react wrapper). The first step was adapting preact/signals-react to support r/atom, r/cursor, and r/reaction. This has worked beautifully so far and the whole module, with helpers, is less than 100 LoC. I’m irrationally excited about it, and every time I use any method it brings me a stupid amount of joy… especially since it’s exactly the same API as reagent.

For those curious, the next steps in the migration will be: upgrading to React 19 support once reagent ships with it (in alpha currently), then replacing the leaf components with hsx and working my way up the tree. No real code changes, just a lot of testing needed. Maybe at the end of it all, I can switch the whole app over to preact — will be interesting to test the performance differences.

As far as ideas I’m thinking about, I’m currently planning the next task in my head. This will be an (internal) clojure library that will hopefully have ClojErl (erlang), ClojureScript (js), and jank (C) interfaces, which means I’ll be able to write clojure once, and run on the server, browser, and mobile — all in their native environment. Needless to say, being able to write isomorphic clojure without running JavaScript everywhere has me almost as excited as my signals wrapper :D

For example, you can scroll through 60 pictures from my window https://stacks.camera/u/ben/89n1HJNT

Most of the challenges are around handling images & rendering, but I've also been playing with Passkey-only authentication which I'm finding really interesting.

Among other things, my team has implemented access-based sharing using web links, like Google Docs for real paper handwriting. And we've just launched Quin, our AI assistant for real paper handwriting. Super useful for getting help with math, language learning, looking up relevant facts, generating ideas, etc.

See https://inq.shop/pages/app

[1] https://alzo.archi

[2] https://lucassifoni.info/blog/leveraging-hot-code-loading-fo...

Turn any command into an AI-discoverable MCP tool with a few lines of YAML:

   name: hello-world
   description: "Greets the world"  
   command: "echo 'Hello, World"

https://github.com/WebAssembly/wasi-libc/pull/586

Saturated market riddled with alternatives, but I wasn't really able to find low friction way to collect these things that met all my needs. Most of this stuff gets lost in DMs or comment sections, which just wasnt working for me.

Also figured it would be a neat way to re-think paying for a creators attention. IE, giving the option to tip (and soon subscribe to a VIP inbox of sorts).

I’ve figured out that I lack in terms of marketing / sales and to develop successful strategies to gain visibility. So actually enjoining the summer rather than coding at night / weekends but still having plenty ideas how develop it further and assist analytical reading.

Aside from that, I’ve also made some sillier little games/demos[3].

There’s a computer with a classic BASIC interpreter written in Lua after the first level.

1 - https://reprobate.site

2 - https://carimbo.site

3 - https://carimbo.games

We aggregated half a dozen plus disparate data sources to create a comprehensive infrastructure map of the PNW power grid. Our goal is to be able to query for and provide informed answers for grid operators, investors, and other energy adjacent businesses in the space.

(For reference): The PNW has the most abundant clean power in the US and is one of the markets with most opportunity as our consumption increases with AI.

How We Met – https://how-we-met.c47.studio/

Each day, I create a new 30-second episode based on the plot direction voted on by the audience the day before.

I'm trying to see how far the latest Video GenAI can go with narrative content, especially episodics. I'm also curious what community-driven narratives look like!

For the past week, I've been tinkering mostly with Runway, Midjourney, and Suno for the video content. My co-creator vibe coded the platform on Lovable.

https://www.protomatter.ai/

Automating Clean-room plant propagation using robots

There are about 2-3+ Billion plants cloned in laboratory conditions per year which are all done by hand. I am in the process of trying to develop a MVP to automate this task while also getting customer conversations to get early adopters.

What I am struggling with is that I don't know if I should focus on developing the MVP which will cost 20k-40k & 4-6 months to develop or put in place a pilot program to get customers willing to buy the machine / pay up front before I start developing. Hardware startups are rough usually because their MVP takes so long to develop.

I am currently bootstrapping while I am pushing for more conversations trying to do both at once. I could personally finance the venture, but it seems like a poor move to just take on all the risk personally? I have am setting up conversations with a few VCs, but that is a month out.

I'm working on this full time at the moment. I have a couple people who I have talked to who could be co-founders but nothing has materialized yet. So I am just all over the place at this stage in the process.

I spoke to 4-5 potential customers and 2-3 of which are 'interested' in what I have but seem only interested in the 'validation' stage which only comes up after the huge personal investment on my end.

It's free (https://github.com/welpo/ab-test-calculator), and it has no dependencies (vanilla JS + HTML + CSS).

Right now it only supports binary outcomes. Even with the current limitations, I feel it's way above many/most online calculators/planners.

I'm also working on learning about building software with LLMs, specifically I am building a small personal project that will allow me to experiment with them using measurable hypotheses and theories, rather than just tweaking a prompt a bunch and guessing when it is working the best. I know others have done this, but I am building it from the ground up because I'm using it as a learning experience.

I plan to take my experimentation platform and build a small "personal agent" software package to run on my own computer, again building from scratch for my own learning process, that will do small things for me like researching something and writing a report. I don't expect anything too useful to come out of it, since I am using 1.7B/4B models on a MacBook Air M2 (later I might use my 3080 but that won't be much improvement), but it will be interesting to build the architectural stuff even if the agents are effectively just useless cycle-wasters.

1. Open-Source AI Curriculum Generator(OSS MathAcademy alternative for other subjects) Think MathAcademy meets GitHub: an AI system that generates complete computer science curricula with prerequisites, interactive lessons, quizzes, and progression paths. The twist: everything is human-reviewed and open-sourced for community auditing. Starting with an undergrad CS foundation, then branching into specializations (web dev, mobile, backend, AI, systems programming).

The goal is serving self-learners who want structured, rigorous CS education outside traditional institutions. AI handles the heavy lifting of curriculum design and personalization, while human experts ensure quality and accuracy.

2. Computational Astrology as an AI Agent Testbed For learning production-grade AI agents, I’m building a system that handles Indian astrology calculations. Despite the domain’s questionable validity, it’s surprisingly well-suited for AI: complex rule systems, computational algorithms from classical texts, and intricate overlapping interpretations - perfect for testing RAG + MCP tool architectures.

It’s purely a technical exercise to understand agent orchestration, knowledge retrieval, and multi-step reasoning in a domain with well-defined (if arcane) computational rules.

- Has anyone tackled AI generated curricula? What are the gotchas? - Interest in either as open-source projects?

To that end, I've most recently been hacking on Robert Virding's Luerl (https://github.com/rvirding/luerl), working to adapt the Lua test suite to chase down some small compatibility issues between PUC Lua and Luerl. While Lua is a lovely language, it would also be swell to get Fennel working under Luerl. I wrote a game for the LÖVE jam a few months ago in Fennel and it was a pleasant way to dip my toes into lisp-likes.

I've also been adding things to control plane software, Overworld, here and there: https://github.com/saltysystems/overworld Happily all of the Protobuf and ENet stuff that I've already built nicely carries over into the LÖVE world.

My son has inherited my love of cooking and baking, so we'll refine the book, add comments and photos, and eventually print and bind copies for our family and friends.

I also am hoping to laser engrave some old cookie sheets with one of my grandma's hand-written recipes. The problem I have is that it's rather faded, and I don't know yet how to make it pop for a good contrast.

Crystal is a re-imagining of what an IDE means when AI drives development. Traditional IDEs are designed for deep focus on one task at a time, but that falls apart when you have to wait 10-20 minutes for an agentic task to run. Crystal lets you manage multiple instances of Claude Code so you can inspect/test the results of one while waiting for the others to finish.

I build an iOS app (https://quenchai.app) that uses a carefully constructed Multimodal LLM workflow to convert photos to standard drinks and track consumption over time.

Did you know a standard margarita is ~2.5 standard drinks and a light beer is ~0.8?

But here's my problem: Not able to monetize Klutz. Because puter Auth doesn't let you track the email ID of users. So, they can just delete their puter account from puter.com and create a new one with the same email, to use the free trial again. This will make the pricing pointlessand abuse the system!

Any ideas other than ads? Anything would help!

1. After hearing Cell by Pannotia, I became obsessed with trying my hand at making a bit of electronic music. I have an Arturia Keystep 32, a Korg NTS-1 and a Korg SQD-1 to mess around with, but I'd really love to learn how to capture the sound on the Pannotia's album since it speaks to me on a visceral level (album link for the curious: https://pannotia.bandcamp.com/album/cell)

2. Turning some old telephones into fun "audio guestbooks", have some additional features lined up that I am going to add (just waiting on parts to arrive), trying to improve a bit on the ones shown in this excellent video: https://www.youtube.com/watch?v=dI6ielrP1SE

3. Managed to get a blog post up recently. My work is not exactly what I would call "HN worthy" but if you need a laugh or some decent toilet reading, it probably qualifies (my blog: https://futz.tech/)

I love these threads. So many people working on so many different and interesting things. Renews my hope for the future, a bit.

I wrote the articles/exercises/projects a few years ago, but now I've made interactive coding and quiz widgets, using Pyodide, Lit, web workers, etc. All open source: https://github.com/pamelafox/proficient-python

- A home-rolled router/firewall: Using yocto to create a distribution for a router/firewall for my home network. It started as an exercise in wanting to have more control over the security of my home network, as well as see how nice of a UI/UX I can tease out of an LLM. It's also part of a (seemingly never ending) consolidation of homelab services.

- A SNES Reverse Engineering setup: A nephew of mine is starting to get into video games and is starting with a SNES but his system broke. I'm working on helping repair the console, but am also trying to set up an effective "LLM + Ghidra + SNES emulator + image generation AI + asperite plugin" to allow him to swap sprites and text in games to add some creativity and learning to the experience.

- A personal assistant system: Experimenting with agents to create a personal assistant for our house, and seeing to what extent the agents can be helpful and how much hardware is required to run something like that in-house.

- aztui: A TUI for exploring and interacting with Azure resources. I'd like to add some caching/pre-fetching logic to make the interaction with the interface snappier (one of the main motivators to create it).

I've been using GPT pretty heavily throughout, and it has been a lot of fun both using it, and spending some dedicated time looking at the models themselves along with the frameworks that support running and integrating them.

To abstract around register file differences in different ISAs, I'm using SSA-form with spilling to a separate "safe stack". Enforces code-pointer integrity for security's sake (not unlike WASM) but extended also to virtual method tables.

"Partial-ISA migration" allows a program to run on multiple cores with slightly different ISA extensions. "Build-migration" is migration to another build of the same program in the same address space: Instead of trying to debug an optimised program, you would migrate it to a "debug-build" to attach a debugger. Or you could run a profiling build, compile a new build using the result and then migrate the running program to the optimised build: something that previously only JIT-compilers have done AFAIK.

I'm out of the research stage and at the stage of writing the first iteration of the main passes of the compiler, but now and then I've had to back-track and reread a paper on a compiler algorithm or refine the spec. It has taken a few years, and I expect it to take a few years more.

There are existing tools that try to solve this, but I have some unique requirements that pushed me to create my own. Things like Telegram integration, weekly summaries, and indexing YouTube content. More importantly, I felt the pain enough that I was motivated to work on it as a side project.

A good example is the frustration and disappointment I had with Pocket: the search functionality was terrible, and each update seemed to make the product less usable.

I’ve now got a working prototype, and I’m putting on the final touches. Let me know if you have any thoughts, or email me if you’d like to try it out.

Spent 14 years slogging through a custom implementation with my previous company, and didn't want my pain and suffering to go to waste. Just spent a few hours yesterday to replace that app's integration with my new api and got a pretty good diff:

117 files changed, 258 insertions(+), 10032 deletions(-)

This week, we’re doing a 5-day launch week, where we’re shipping a new set of billing features every day. Github link: https://github.com/flexprice/flexprice

I wrote an MCP server in C#/.NET that let's LLMs safely generate an run JavaScript using the Jint interpreter.

It includes a `fetch` analogue using `System.Net.HttpClient`, as well as `jsonpath-plus`, and a built-in secrets manager.

The prime use case is working with HTTP REST APIs with an LLM. With this, you can let users safely generate and execute JavaScript in a sandbox.

Generating an estimated $130 million per day (100 Megatokens/second) worth of GPT4 tokens at home will have to wait (plus I'd need to upgrade the power and AC in this room a bit to handle the estimated 750 Kw of power it would take)

We're building a chat app that automatically creates and manages your to-do list right from your conversations.

I started this for a simple reason: I was tired of the soul-crushing 'copy-paste' work of moving decisions from Slack over to Notion or Jira. So much context gets lost in that process, and it just creates more "work about work."

Our core idea is simple: a chat message and a to-do item shouldn't be two separate things you have to keep in sync. In Markhub, the conversation is the task. It's not a copy; the conversation itself becomes the to-do, and all the context is automatically preserved.

Our bigger vision is to do for collaboration what GitHub did for Git. We’re not reinventing chat or kanban boards; we’re building the seamless 'workflow layer' on top that finally makes them work together.

We're currently in a private beta and would love to hear from HN users who feel this same pain. We’ve been fortunate to get early traction with large enterprise clients (including a ~$200k on-premise deal), but now we're looking for feedback from smaller, agile teams.

Any and all feedback is a gift. Thanks!

To get there, I'm breaking it down into smaller projects. The first one: a basic WebSocket signaling server written in Rust (based on RFC 6455). I'm also learning Rust, so this was a good way to build something real while figuring things out.

On the frontend, I used Angular and just the RTCPeerConnection API — no external WebRTC libs. The focus for now is just signaling: how peers connect, exchange offers/answers, and so on. No media or security handling yet — that's the next step.

Here’s a short demo video on YouTube https://www.youtube.com/watch?v=V_qdW2JchbU It’s not production-ready yet. Right now, each WebSocket connection spins up a new thread, but I plan to rework that using something like Tokio for better performance.

Curious to hear thoughts or suggestions.

[0]: https://blog.alexbeals.com/posts/extracting-letterboxd-token...

[1]: https://blog.alexbeals.com/posts/reverse-engineering-ios-dee...

[2]: https://blog.alexbeals.com/posts/debugging-fitness-sf-qr

[3]: https://blog.alexbeals.com/posts/start-process-extensions

There's a little inspiration from the MLIR ecosystem here, which makes heavy use of `.td` files for code generation. I want to write a schema file, defining some tables and indexes along with the queries and procedures which will operate on them, then have this compiled to a C++ header file I can include, where the schema is a class and the queries/procs are methods.

I have no idea how far I'll get with this, but it's always fun messing about with weird little languages, and I'd like to see what programming in this style would feel like.