Mediator.ai combines LLMs with Nash bargaining game theory to resolve disputes over equity and fairness. It generates candidate agreements iteratively, scores them against all parties' interests, and synthesizes novel solutions. A case study resolved a founders' equity deadlock with a 60/40 split plus performance conditions—a solution neither founder would have proposed alone.
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Show HN: Mediator.ai – Using Nash bargaining and LLMs to systematize fairness
Mediator.ai applies Nash bargaining game theory with LLMs to automatically generate novel dispute resolutions—it synthesized a 60/40 split with performance conditions that broke a founders' equity deadlock neither party would propose independently.
Tuesday, April 21, 2026 12:00 PM UTC2 MIN READSOURCE: Hacker NewsBY sys://pipeline
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