Start tokenizing humans.
We scan repos, paywalled content, competitions, talks, and writing. Ranked matches with scores and evidence.
2/2: "eatser egg"
Find candidates for "Distributed Systems Engineering"
Query skills. Get ranked people.
We scrape where others can't[ DATA ACCESS ]
Private competition leaderboards. Gated developer communities. Archived GitHub Issues. Paywalled technical content. Underground CTF results.
Multi-Signal Ranking[ METHODOLOGY ]
We pull 300+ signals per person: competitions, code, talks, writing. Weight by recency and impact, output one score.
Match Confidence[ OUTPUT ]
Each match gets a score (0-100), a confidence tag, and a breakdown of why they landed where they did.
Built for Platforms[ INTEGRATION ]
Query a skill, get ranked candidates with scores and proof. Built for recruiting platforms and talent marketplaces.
We predicted winners before they were announced.
We produced rankings before the official results were released. When results dropped, our list had already identified the top performers.
People Ranked
We've processed thousands of candidates across multiple events. One pipeline, one scoring model, same signals for everyone.
accuracy on real events
We backtested our scores against what actually happened. 93% accuracy on real outcomes.
We pull signals from everywhere.
Hackathons, repos, talks, writing from every region we can index. One query, ranked candidates with scores and evidence.
Built for Platforms
For recruiting, staffing, talent marketplaces. Query a skill, get ranked candidates with scores and proof.