Good old fashioned machine learning (GOFML?) Using mixes of different sensor data from industrial 3d printing processes to production quality. Not as fashionable as LLMs at the moment but there's new innovations to make in the space, so it's honest work.

A set of tools to making setting up, joining and using a Samba domain on Linux much much easier.

This started with https://github.com/edward-murrell/sambervise - a GTK tool for admining Samba users and groups. I'm currently building a tool that walks a user through setting up a domain, adding DCs, and configuring fileservers and workstations.

In the TODO is making NFSv4 integration with Samba as painless as possible, and some kind of GUI application.

I've been using https://github.com/gchamon/buzz as an opportunity to have a WebDAV with tight integration with real debrid, jellyfin and opensubtitles. It solves the requirement of jellyfin for having a single file per folder even if the original source had many files in them, adds confirmation for removing entries from debris, has an archive so deletions can be restored, a simple but powerful integration with opensubtitles and a functional logs UI. It's also an opportunity for me to review web design concepts and experiment heavily with coding agents, both local and SOTA.

Working on a tool to speed up iterations of backtesting Algo trading strategies (https://foxtradetools.com/):

- Visual tool for building strategies

- Backtest on site or MT5 EA using same json configurations

- Running EA live (or paper mode) in prod automatically feeds the trades back to the site for analysis

- The thing I am most happy with: you can click any trade in backtest result and see exactly which rules were true at the bar that fired

You can try it in action w/o signup using taster page (https://foxtradetools.com/taster)

Solo dev. Open to any feedback.

Fast, customizable, and extensible dock application -- fully written in Python, with built-in applets and full Linux desktop integration.

https://docking.cc

I'm working on MedAngle, the world's first Agentic AI Super App for premed, medical, and dental schools and recent graduates - young doctors.

MedAngle is literally everything one could need, personalized to their curriculum across 4-6 years of medical school. Quizzes, videos, notes, flashcards, reminders, scheduling, performance, search, and more.

Our Super App is comprised of MedGPT + MedAgent + Spaci (futuristic spaced repetition), which serve as layers over our massive collection of features such as the Smart Suite, Learning Library, Clinical Corner, Tested Tools and more.

100k+ users, 10s of billions of seconds spent studying smarter, invite only. Bootstrapped, growing nicely. I lead a team of top medical students and doctors.

I am building several small tools for myself, no real intention of sharing them yet. Some have better solutions in the market:

* Advanced tab organizer, small chrome extension to organize my bad habit of 200+ tabs, can group them into windows, search, close duplicates, search just on a specific window. Pretty fun.

* A clipboard manager, just wanted to build something in Swift for fun

* A todo app for mac, local-only

I am trying to better my understanding of Agentic coding tools and Tool using Agents by building my own, without relying on an Agent that writes said Agent/Harness

I believe writing my own "Toy Harness" is a good way to learn and understand these tools.

Other than that, I did plant my tomatoes today.

I've been working on https://www.photogenesis.app

It's an iOS & Android app that applies various generative art effects to your photos, letting you turn your photos into creative animated works of art. It's fully offline, no AI, no subscriptions, no ads, etc.

I'm really proud of it and if you've been in the generative art space for a while you'll instantly recognise many of the techniques I use (circle packing, line walkers, mosaic grid patterns, marching squares, voronoi tessellation, glitch art, string art, perlin flow fields, etc.) pretty much directly inspired by various Coding Train videos.

Working on a way for us to communicate software changes properly with people, systems and AI.

I'm frustrated at how we just do library updates and get whatever is next. Things break. Finding a changelog sucks. Vendor updates maybe put something in X.

We can do better so I'm starting an open initiative to tackle that.