Match Check is the core build. These five tools show how the same idea extends: AI reads the messy text, deterministic rules decide, and every number can be traced.
Two profiles, one score, every reason. Rules only vs AI reading the bio.
Proves: deal-breakers hidden in bios are catchable before sending.OpenPaste a client's free-text “no” and get structured reasons from a fixed taxonomy, flagged when it was preventable.
Proves: the 35% “preventable” number can be measured live, not guessed.OpenPick a client and rank every candidate by mutual match score. See who's safe to send and who's hiding a deal-breaker.
Proves: the ~2 h per client per week of searching can start from a ranked shortlist.OpenThe pre-send gate: client vs candidate, BLOCK, REVIEW or OK, and an “override and send anyway” log.
Proves: overrides become data that shows which “deal-breakers” are really soft.OpenThe funnel, matchmaker A vs B, why profiles get rejected, and what fixing the preventable 35% is worth.
Proves: the diagnosis with numbers, not intuition.OpenAsk in plain English: “who should I send to Ananya?”, “why did Vikram score 27?”, “draft the intro email”.
Proves: one place for a matchmaker to search, check and write, grounded in the same engine.Open