Hello!

I built a map that generates a heatmap of the most convenient meeting spots between several people, based on public transit travel times.

Move the markers anywhere in the map; all cities with sufficient transit data are supported!

This integration allows for scalable evals and training of browser agents with hosted Prime Intellect eval + training pipelines and headless browser infrastructure on Browserbase to RL train browser agents with LoRA.

When cloning a repo, we kept hitting the same wall: no Dockerfile, no dev container, no clear path to running it. Asking an agent to fix it directly on your system is risky, as it can clear Docker config, change kernel settings, downgrade packages without warning.

Keystone runs the agent inside a Modal sandbox with its own Docker daemon. It iterates until tests pass, then hands you a .devcontainer/ you can just check in. Now your repo knows how to run itself!