referral-based hiring

hiring is broken because resumes filter for credentials, not fit. referral-based hiring is a marketplace that flips this: instead of applying cold, candidates get vouched for by someone who actually knows them. the referrer attests to specific qualities — "she's the best debugger i've worked with" or "he ships fast and asks good questions" — not just "we worked together at X." the incentive structure is what makes this interesting: if referrers earn something when their referral succeeds and gets hired, they have skin in the game and won't refer indiscriminately. this creates a quality signal that resume screening can't fake.

the fit-over-qualification framing is the core thesis. most hiring mistakes come from hiring someone technically qualified but wrong for the team, culture, or specific role. referrals by nature encode soft information — the referrer knows both the candidate and ideally has some sense of the role requirements, so their matching has higher bandwidth than a resume + JD scan. the platform could amplify this by having referrers answer structured questions about the candidate: their working style, biggest strengths, what kind of environment they'd thrive in. companies then search not just by skill but by team-fit signals.