I'm working on a video game called Astroloot[1], a mix of bullet-heaven and scifi-space ARPG. After two years, I've finally completed the main-campaign and now start with the endgame. Ever since playing Diablo 2, I've wanted to create an ARPG. Have to say, this project brought back the joy of programming for me.

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

My girlfriend recently got into making sourdough and wanted to keep a log of all her recipes. She really wanted to explore the relationships between recipe water percentage and crumb density, or proof time and oven spring, for example. I built her https://sourdoughchronicle.com - a local first bread journal that allows peer to peer recipe and results sharing. Claude + aider had a MVP built in an hour and she's loving it! Oddly enough the comparison charts haven't made it in yet, but that's the next feature on the the to-do list.

We are building video intelligence software. Video has far rich and great information. While text reading primarily engages sight and internal cognition, video adds sound, motion, and emotional intensity, making it a richer sensory experience overall.

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.

Lately, I’ve been exploring a few interconnected ideas:

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

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

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

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

Some other things I’ve been playing with:

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

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

While taking care of my newborn, I had a lot of time to think about what annoys me most about being a software engineer. For me that is interfacing with databases.

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

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

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

https://reifydb.com/

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

Lately I’ve been working on two things:

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've been building tooling for better debugger support for Rust types using debuginfo: https://github.com/samscott89/rudy

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.

http://axcas.net is an online computer algebra system I've been working on. I'm working to finish the programming language which is based on C, and I'm adding an ode solver which I plan to use to evaluate special functions.

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

Numpad: https://numpad.io/

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 :)

Been working on https://github.com/amterp/rad for almost a year now. It's a programming language designed for writing good CLI scripts, so it's aiming to replace Bash but is much more Python-like, and offers unique syntax and a bunch of in-built support for scripting.

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.