Thesis - AI Startup Validator

Ninety percent of startups fail — most because the idea was never properly validated. Founders with a raw idea face weeks of manual work: mapping the competitor landscape, surfacing hidden assumptions, and scoping an MVP by hand. Worse, ideas are born as speech; by the time the research is done, the spark is gone. Thesis fixes this. It turns a spoken, raw business idea into a structured, web-grounded validation report in under 60 seconds. Speak your idea, and a single AI orchestration pipeline produces six analysis dimensions — a summary, testable hypotheses, real competitors, critical questions, an MVP scope, and a 1–100 viability score with rationale — all rendered on a shareable, interactive canvas. The pipeline is grounded in four production-grade APIs working together. Speechmatics handles real-time voice transcription, so founders can speak ideas while they're fresh instead of typing them out. Tavily live web search grounds every competitor and market signal in real, citable sources — no hallucinations. The AI/ML API orchestrates the LLM call that produces all six analysis dimensions in a single pass. Supabase handles auth, persistence, and storage, so every canvas is saved and revisit-able. Beyond the initial report, the canvas is interactive: founders can drill into any section with follow-up questions, each answered with a fresh web search where relevant. The result is a tool that collapses weeks of validation work into a minute — and produces a shareable artifact a founder can return to, refine, and act on.