Debatly listens to live or uploaded debates, separates speakers, identifies each side, extracts factual claims, checks them against the web, flags contradictions and double standards, and generates a neutral post-debate report. Unlike generic transcription tools, it focuses on debate structure: who said what, which claims need evidence, and where arguments conflict. It never declares a winner; it lays out the facts so people can judge for themselves.
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Maker
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I built Debatly because debates move fast, and it is hard to track what was actually said, what was factual, and whether both sides were being held to the same standard.
The idea started as a live debate companion, but the hard part quickly became speaker consistency and clean analysis. Debatly now uses speaker separation, claim extraction, fact-checking, contradiction detection, and credibility scoring as separate AI steps instead of one giant prompt.
The goal is not to declare a winner. It is to create a neutral report that helps people review the debate with more clarity.