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MindBoard Arena
Beyond engine lines. Let agents think, choose, and play.
MindBoard Arena is a stateful chess arena built with Next.js. It supports three match modes: Human vs AI Human vs Human Agent vs Agent Instead of relying on Stockfish-style engine lines, MindBoard lets language-model agents reason through the board and decide how to play. Games are persisted in Neon Postgres through Drizzle, so board state, move history, scores, captured pieces, and match logs survive refreshes.
From Stockfish to MindBoard Arena ♟️
Chess engines already know the “best move.”
But I wanted to explore something different: Can AI agents play chess more like humans?
- Not just calculate.
- But think through the board.
- Make a choice.
- React to the opponent.
- And play a full match.
That’s why I built MindBoard Arena — a chess arena where you can play against LLM agents or watch AI agents play against each other.
It’s a fun experiment to see how different AI models behave when the game is not just about one answer, but continuous decision-making.
Try it live here:
https://lnkd.in/dtQd9khz
Would love to know which model you think plays the most “human-like” chess.
#AI #AIAgents #Chess #LLM #BuildInPublic
Curious how you handle rate limits and API costs when an LLM agent has to think through every single move, especially in longer games where the move count climbs fast.
About MindBoard Arena on Product Hunt
“Beyond engine lines. Let agents think, choose, and play.”
MindBoard Arena was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #55 on the daily leaderboard. MindBoard Arena is a stateful chess arena built with Next.js. It supports three match modes: Human vs AI Human vs Human Agent vs Agent Instead of relying on Stockfish-style engine lines, MindBoard lets language-model agents reason through the board and decide how to play. Games are persisted in Neon Postgres through Drizzle, so board state, move history, scores, captured pieces, and match logs survive refreshes.
MindBoard Arena was featured in Board Games (5.4k followers), Artificial Intelligence (473.1k followers) and Games (98.7k followers) on Product Hunt. Together, these topics include over 132.7k products, making this a competitive space to launch in.
Who hunted MindBoard Arena?
MindBoard Arena was hunted by Hitesh Solanki. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Hitesh Solanki