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PitchSpark is an AI-powered marketplace connecting startup founders with angel investors and micro-VCs. Founders get their pitch scored on the six dimensions investors actually weigh — team, problem, solution, market, traction, and clarity — plus an optional brutally honest AI roast. Investors get curated, scored deal flow with investor-initiated contact only: no cold outreach, no spam. Free pitch scoring at pitchspark.io/scoreandroast.
PitchSpark's AI pitch scorer uses a calibrated Claude Haiku 4.5 model with a versioned system prompt. Each pitch receives a composite score (0–100), letter grade, six per-dimension scores, and 80% confidence intervals. Weights are recalibrated weekly against real investor outcome data (deck requests, contact requests, funding events). A health-check job runs Wednesdays and auto-rolls back the active scoring config if drift is detected. The full rubric — with anchor descriptions per dimension — is at /llms-full.txt .