Update wiki/referral-hiring.md
5dcfe6eb4304 harrisonqian 2026-04-12 1 file
index 3d2a81e..92de78e 100644
@@ -15,4 +15,4 @@ hiring is broken because resumes filter for credentials, not fit. referral-based
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.
-connects to [[job-tracking|job tracking]] on the employer side (the applicant tracking / fake detection problem) and to [[info-exchanger|info exchanger]] as a model for structured pre-conversation context sharing. [[discord-connections-mapper|discord connections mapper]] is the adjacent infrastructure play — if you have a rich relationship graph, surfacing good referral paths becomes a search problem. [[vibe-matcher|vibe matcher]] explores the compatibility angle from the social side, which has real overlap: matching people who will actually work well together is the same problem in a different context.
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+related: [[job-tracking|job tracking]], [[info-exchanger|info exchanger]], [[discord-connections-mapper|discord connections mapper]], [[vibe-matcher|vibe matcher]]
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