Headstarter builds applied AI products that put agents and engineers to work on real problems, and judge them on what they actually ship. Used by thousands of engineers and the startups that hire them.
Starker builds realistic networks for training and evaluating offensive-security agents: a company's web apps, file shares, databases and internal hosts, with a goal and rules of engagement. Every attempt is scored by what the services recorded, not by what the model claims: solved, solved by cheating, or broke a rule.
Lodestar is a Mac app for mechanistic interpretability. Load any open model from Hugging Face, run it on your own GPU offline, and see which neurons fire for each word. Then push neurons and directions to change how it talks, or take out its refusals, and serve the edited model through an OpenAI-compatible API.
Work across repositories at once, talk to your code by voice, and let agents plan, edit, test and open pull requests from the browser. Every session is traced, scored and ranked, so skill shows up as evidence rather than a résumé line.
Talent runs hiring for startups. Agents search engineers' real work across GitHub and LinkedIn, research the backchannel, and score every candidate against the role, so founders get a ranked shortlist every week with the evidence behind each match.
Headstarter members have gotten into YC, raised $4.5M directly, and sold their companies to YC startups.








