My summer project was to challenge existing 2D / 3D visual effect creation tools (touch designer, comfyUI, etc.) with something agentic as the true foundation (not just slapping MCP on top of an existing paradigm).

It also came from the following observations:

- people are making their own coding harness, why not one for realtime visual effects?

- using Claude code or codex to make art and installations is absolutely fantastic, but you usually end up with a lot of friction and paper cuts when it comes to deterministic workflows and concept iteration.

SubjectiveZero is the free and open source project that resulted from it. It’s still following the classic node editor paradigms but making the nodes absolutely more malleable while also combining a user experience flow optimized for ideation and iteration. I definitely invite you to check out the showcase and examples on the website, but basically it feels kind of magical when your editor just “get” what you want, and nudge your exploration into adding more little knobs here and there so using the tool feels more like playing rather than “operating”.

I also liked the emerging concept of an adjustable abstraction ladder, meaning people who are very technical can still get as much granular control as they wish to while people who just want high level concepts and vibes can just use prompts to try things out.

When it comes to determinism, the tool has some neat features like an agent graph to constrain agent workflows, overpowers MCP that drives user interface changes as the agent makes progress, allows the agents to verify their work and coordinate so the usual painful wait for agents to be done is somewhat minimized. There’s also a way to do basic model routing to tweak your intelligence/speed ratio.

I’ve personally used it to make art and fun experiments. Feel free to send feedback or contribute tokens to the project if the concept speak to you!

My web app helps people registering an imported vehicle in the UK complete the DVLA’s V55/5 registration form more efficiently.

Description on the tin.

I found it hard to get fares and timetables for the Elizabeth Line in London between X and Y quickly hence I built this as an experiment using AI tooling.

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.

https://www.harborgit.com/

Rough idea: get a list of urls with classical music concerts -> send each one to a coding agent to build a crawler -> validate and run on an infrastructure for "free". Classical music is an ideal use case, because the number of concerts is small enough on an average website that it doensn't require many workarounds, and the websites are usually pretty crawler-friendly.

https://classicalbot.com/

My wife and I are working on a math/science/CS-inspired jewelry: pieces that stand on their own aesthetically but have a hidden meaning.

We currently have two styles: lambda calculus based pieces (we depict the Tromp diagram) where we have Y-Combinator earrings (well, strictly speaking they are one beta reduction away from Y-combinator. Aesthetic oblige) and a pendant depicting a lambda expression computing Graham's number. The other style is quantum computing circuits, based on quantum computing research my brother (a physics professor) is doing: a pendant that is actually a non-local controlled-NOT gate.

I wrote a tiny DSL to describe the jewelry pieces, and an interpreter to produce CAD files. We then either 3D print them or have them produced by lost-wax.

We have our pieces in consignent in a jewelry store, and are working to put them in a museum store.

Marketing is the hardest part. Ideas are welcome.

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.

What makes the app a little different from others is that it's kind of halfway between an outliner and a wiki. You can place notes in a tree hierarchy, but they can be free-floating as well. You can link to other notes using wiki-style text links, and each note has a unique address, so you don't need to give notes a title or a filename.

Notes can even appear as a child note of more than one parent. The idea is that you can jot down an idea quickly without a lot of friction and then later either add sub-notes to create a note "tree" from it or add it to an existing tree. The tree gives structure to related notes, but the wiki-style links allow you to connect notes together outside of that structure. (I consider the tree structure a "hard" relationship and the links a "soft" one.)

There isn't a single uber-tree where every note goes. Your notebook ends up with lots of free-floating notes and lots of small trees of organized notes, like a card-based Zettelkasten system. You can use search and various filters to find and stumble upon notes easily.

Notes can either be stored in iCloud (so that they sync across devices) or saved in a folder as simple Markdown files.

If you're curious, you can help beta test it. More info here: https://zettelkasten.ussherpress.com/