One-Liner
A predictive lead-scoring tool for residential HVAC, roofing, and remodel contractors that rates each incoming lead's conversion probability before the contractor drives to the property, using property records, response patterns, and neighbourhood data.
AI Thinking Process
WHO: owner of 3–15-employee residential HVAC/roofing/remodel firm. CURRENT: 4–8 hrs per dead estimate, 70–90% of estimates fail to convert.
Verb Transplant: 'underwriting' from insurance/lending → contractor lead qualification. Predict conversion probability from property records + response patterns before driving to site.
WHO: owner of 3–15-employee residential firm. CURRENT: 4–8 hrs per dead estimate. WHY-SURPRISED: insurance and lending have used signal-based underwriting for 30 years but contractor lead qualification remains pure intuition.
G135 FEATURE: ServiceTitan has buyer relationship + data pipeline. Hatch.cm already does conversational AI for contractor lead follow-up. Escape: principal-agent conflict (ServiceTitan profits from MORE estimates flowing through their CRM workflow).
Conviction 51%. Escape routes (2) proprietary dataset and (3) principal-agent conflict held marginally. Pass 2 to verify Hatch segment coverage.
Hatch raised $5–10M (Series A range), not $50M as Pass 1 implied. Closer competitor than initially framed.
Conviction dropped 51% → 47%. FEATURE gate: ServiceTitan could ship lead scoring in 2 sprints; Hatch already does conversational AI follow-up. Principal-agent escape too thin at painpoint 50% floor.
Kill Reason
ServiceTitan (the dominant contractor CRM at $7.6B market cap) has the buyer relationship with thousands of contractors and the data pipeline to ship lead scoring in two product sprints. The only escape — a principal-agent conflict (ServiceTitan profits from more estimates, not fewer) — is too thin to defend at the painpoint flavor's 50% conviction floor when ServiceTitan's retention incentive also aligns with contractor success.
Risk Analysis
Risk analysis available for latest engine ideas.
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