Inspired by John Nash
Where Nash Equilibrium meets human irrationality
Why "Nash Point"?
John Nash revolutionized game theory with the Nash Equilibrium - the foundation of GTO (Game Theory Optimal) poker strategy.
But Nash also understood something profound: humans are inherently irrational. His own struggles with schizophrenia gave him unique insight into the gap between theoretical perfection and human reality.
Nash Point embodies this duality. We teach you GTO principles as your foundation, then show you how to exploit the inevitable irrationality of your opponents.
Perfect theory. Imperfect opponents. Maximum profit.
The Problem with Current Solvers
Traditional GTO solvers like GTO Wizard are excellent for learning baseline strategy. They show you how to play against perfectly balanced opponents who never make mistakes.
But here's the reality: your opponents aren't perfect.
They over-fold to aggression. They call too wide. They have exploitable tendencies. And if you're only playing pure GTO, you're leaving money on the table.
Why Our Training Method is Different
Opponent Modeling
Train against specific opponent types: tight-aggressive, loose-passive, micro-stakes regulars, and more. Learn when to adjust.
Explanation-Driven
Don't just memorize charts. Understand why each decision is optimal with AI-powered explanations of the strategic concepts.
Solver-Backed
Powered by open-source GTO solver technology. Get accurate, reliable solutions without expensive subscriptions.
Randomized Training
Practice with scenarios that mirror real gameplay. Build intuition through spaced repetition and adaptive difficulty.
Product Roadmap
Phase 1: Core Training Engine
Hand input, opponent type selection, AI commentary, and GTO solver integration
Phase 2: Training Modes
Random scenario generator, progress tracking, and spaced repetition system
Phase 3: Advanced Features
Hand history analysis, custom opponent profiles, and performance analytics
How Our Solver Integration Works
We leverage open-source GTO solver technology that provides the mathematical foundation for our training recommendations.
When you input a scenario, we calculate the game-theory optimal baseline strategy. Then, our AI layer analyzes how to adjust that strategy based on the opponent type you're facing.
This gives you the best of both worlds: GTO accuracy combined with exploitative adjustments.
Be Part of the Beta
Join our waitlist to get early access when we launch
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