gitmoot/gitmoot

I created a new loop for my agents send me startup ideas every monday. It basically reads 16 different public sources, cluster what people complain about, score each idea and then deliver the report…

I think I accidentally built the coolest way to watch AI agents work. This is what agent orchestration should look like. Live galaxy of 1,700 jobs across my repos, running agents pulse, delegations…

I think I'm finally into something. Every agent that has ever touched my codebase, visualized into one living galaxy moving in real time. This is gitmoot.

To make this work we would need some kind of anchor though, like human labels, so that the judge itself, can improve during agent training. Not sure how that would work right now, but it looks like…

"The real opportunity is not in picking the best model but instead in building a learning loop on top of models where human capital and token capital compound." Thats why i built Gitmoot, local-first…