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Prediction market rules fail to cover all edge cases

Existing prediction market platforms have ambiguous or incomplete rules leading to disputes; need decentralized, onchain contract creation with incentives for clear rules and push mechanics for resolution.

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FL score

62

out of 100

Verdict

VALIDATE

high confidence

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A platform that lets users create prediction markets with explicit, enforceable rules and automated resolution to eliminate disputes.

The pain

Prediction market users lose money or get locked into disputes when platform rules don't cover edge cases. Polymarket, Manifold, and others have frozen markets or made arbitrary resolution calls. Users have no recourse and no way to create markets with custom, bulletproof rules.

The gap

Current platforms treat rule-setting as a backend problem. They offer templates but no way for market creators to encode specific conditions, tie resolution to external data feeds, or automate dispute resolution. Users either accept platform risk or don't participate.

Build angle

Start with a smart contract framework that lets anyone deploy a prediction market with explicit resolution logic. Require market creators to specify: (1) the exact condition being predicted, (2) the data source for resolution, (3) the dispute mechanism. Offer templates for common cases (sports scores, economic data, on-chain events). Charge a small fee per market creation. Focus first on markets where resolution is deterministic (on-chain events, API-fed data) to avoid the oracle problem.

Strengths

  • Real problem: Polymarket's TRUMP market dispute and Manifold's rule changes show this matters
  • Clear monetization: Fee per market creation scales with adoption
  • Defensible moat: Custom rule encoding is hard to copy if you build good UX
  • Crypto-native: Onchain resolution avoids platform censorship risk

Risks

  • Oracle problem unsolved: Even with explicit rules, you need trusted data sources. This is hard and expensive
  • Chicken-and-egg: Users won't create markets on a new platform if liquidity is elsewhere. Existing platforms have network effects
  • Regulatory: Prediction markets face legal uncertainty in many jurisdictions. Building infrastructure makes you a target
  • Complexity: Users will still write ambiguous rules. You can't engineer away human disagreement
  • Low TAM initially: Only crypto-native traders and niche communities will use this. Mainstream adoption requires solving the oracle and legal problems first

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