The Odds Assist tool started out as a way for me to quickly QA the data from the API. It then turned into its own product as an odds scanner and sports book advantage finder (mainly arbitrage, +EV, middles, etc). Over the past few months it's really pivoted toward prediction markets and collecting and displaying data to get an edge on markets that are soft.

The pivot to focus on PMs has been pretty fun from a development perspective since there's so many niche markets to look explore. I've always liked math, I'm a bit of a digital hoarder, and I've got ADHD so finding random things to collect a bunch of data for just to test a hypothesis just hits my brain in all the right ways. It's also given me an excuse to learn more about ML what has been great.

Working on this tool to make running open-weight models on your hardware and accessing them from anywhere privately simple. Also has the option of sharing your compute with others with the built in credit system.

https://devorajs-docs-docs.vercel.app https://github.com/hassanalsa3aka/devora.js

An alternative to GitHub for code review that focuses on making the human PR review experience easier and faster.

1. A robotics information and news website. Any feedback is appreciated. https://robotica.dev/

2. Applied DBSP theory to Postgres https://github.com/getravi/pg_dbsp and DuckDB https://github.com/getravi/duckDBSP. The idea is to have incrementally maintained materialized views.

Hope that is no problem that I use this thread a bit for self-promotion. If so just write a reply I'll remove this comment if this is a problem

A way for BJJ and martial arts academy owners to manage attendance, payments, class schedules, and student progress.

I train BJJ myself and saw how much time instructors lose to admin work, so I wanted something simpler and more focused than the generic gym software out there and have been having a lot of fun building it with feedback from real academies.

README is very bare bones, needs a video or a picture too. The website should tell you some more things: https://kavla.dev (and now the demo does not require a login (also need to remake the demo to fit the new self hosted version))

It's still lacking an analytics agent for the local version though. I've explored using codex CLI, but it feels like its extensive system prompt cripples the agent a lot vs Kimi 2.7 that I've been using in the cloud version.

I think it would also be nice to lean into the fully local LLM setup too, especially for data that shouldn't leave the device.

Working with remote large data sets as if they where local.

I made the project public on May, and now as September has arrived, you can work with post production videos anywhere in the world. You can run the daemon on your own NAS and access the data on-demand from your working machines.

The same applies to data acquisition in digital forensics flows.

It's an early version so many (if not most) things that would be in a game are still missing at the moment (though planned on paper).

One interesting thing is that because the Voronoi voxels are so malleable, things like round or hollow worlds are a pretty natural outcome.

In parallel to working on it, I've been mostly using it to build and improve my own voxel castle with a pointy roof, slanted walls, custom built stairs, tables, chairs and all those nice things.

In the last update I added a CRT filter and some pixelation options as I find that appealing. As for the future (maybe as the next thing?), I guess I'd probably like to add the ability to build less blocky things like round towers (or flower vases!), but that is still very much a work in progress.

The Web version (WebGL) is completely free (and will stay that way):

https://jazzprogramming.itch.io/vorfract