We turn qualitative data
into quantitative data.
Scan public work across hackathons, code, writing, and competitions. Get ranked matches with evidence based scores.
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. We extract signals from sources that don't exist on standard platforms.
Multi-Signal Ranking[ METHODOLOGY ]
We aggregate 300+ signals per person across competitions, code, talks, and writing. Each signal is weighted by recency, impact, and verification—then normalized into a single score.
Match Confidence[ OUTPUT ]
Every result includes a match score (0-100), confidence level, and evidence breakdown showing why they ranked 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 hackathon winners before they were announced.
10,000+ participants. 93% accuracy.
10K+ People Ranked
We've processed thousands of candidates across multiple events. The system scales and the scores hold up.
Predicted 1st Place Winners
Our match scores correctly identified top performers before official results. Evidence-based ranking works.
93% Prediction Accuracy
Validated against actual outcomes, not synthetic benchmarks. We built this to be right, not just fast.