WhatAn async skills-assessment platform that replaces AI video interviews with short, job-relevant work samples scored by AI, giving overlooked candidates a fair shot while cutting employer screening time by 90%.
SignalHiring managers openly describe receiving 300-1000 applicants per role and having no scalable way to find hidden gems beyond crude resume filters based on employer pedigree and school names — they genuinely want a better way to surface talent from the long tail.
Why NowThe collision of mass AI-generated applications flooding inboxes and LLMs now being capable enough to evaluate domain-specific work samples makes automated skills-based screening both necessary and newly feasible.
MarketMid-market and growth-stage companies hiring for technical and knowledge-worker roles; TAM overlaps the $4B+ assessment/screening market; competes with HackerRank, TestGorilla, but positioned as a full top-of-funnel replacement rather than a late-stage test.
MoatProprietary benchmark data on what work-sample signals actually predict job success, improving with every hire outcome tracked — a compounding data advantage.
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