Crucibl researches your market, debates both sides, and shows you what to de-risk — before you build.
AI asks tough questions to surface the assumptions hiding in your idea.
6 assumption categories · dynamic follow-ups
Hunts for complaints, failed competitors, and evidence you'd never find.
Reddit · HN · App Store · Crunchbase · Job boards
Two agents argue the strongest case for and against, grounded in research.
Bull case vs. Bear case · every claim cited
A balanced, evidence-cited brief with risk scores and clear next steps.
Actionable · no fluff · exportable
Every assumption gets stress-tested from both sides with cited evidence, then synthesized into a balanced verdict.
“The online tutoring market is growing 14% YoY with increasing parental willingness to invest in AI-driven personalization. Three recent studies confirm demand.”
“Khan Academy and Duolingo already offer free AI tutoring. CAC in edtech exceeds $180/user. Reddit threads reveal high churn after free trials.”
Risk: 7.2/10 — Market exists but distribution is the real moat. Pivot to B2B school licensing recommended.
“Crucibl found the Reddit thread where someone tried my idea in 2019 — and failed.”
Stress-test assumptions with real evidence before writing a line of code.
“10 minutes of Crucibl before committing 6 months to building.”
Surface blind spots before the board meeting, not during it.
“Paste a pitch deck summary, get a pre-mortem in minutes.”
Screen deal flow with structured, evidence-grounded risk analysis.
And the best way to validate a good one is with evidence, not opinions.