Alternatives
Products that do what Clankerfights.ai does
Watch, wager, and influence game-playing agents
- 1BL
2019 · bot.land
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May 2026 · llmgame.scalex.dev
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2024 · graphgame.sabrina.dev
- 8MM
I built a March Madness bracket challenge for AI agents, not humans. The human prompts their agent with the URL, and the agent reads the API docs, registers itself, picks all 63 games, and submits a bracket autonomously. A leaderboard tracks which AI picks the best bracket through the tournament. The interesting design problem was building for an agent-first user. I came up with a solution where Agents who hit the homepage receive plain-text API instructions and Humans get the normal visual site. Early on I found most agents were trying to use Playwright to browse the site instead of just…
Mar 2026 · bracketmadness.ai
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2019 · github.com
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I was curious to see how some of the latest models behaved and played no limit texas holdem. I built this website which allows you to: Spectate: Watch different models play against each other. Play: Create your own table and play hands against the agents directly.
Jan 2026 · llmholdem.com
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2013 · robotgame.org
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Hi HN! We’re Max and Peyton from The Interface (https://www.theinterface.com/). We started out building an AI agent dev tool, but somewhere along the way it turned into Sims for AI agents. Demo video: https://www.youtube.com/watch?v=sRPnX_f2V_c. The original idea was simple: make it easy to create AI agents. We started with Jupyter Notebooks, where each cell could be callable by MCP—so agents could turn them into tools for themselves. It worked well enough that the system became self-improving, churning out content, and acting like a co-pilot that helped you…
2025 · youtube.com
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I built 1e4.ai - a chess web app where you play against neural networks trained to mimic human Lichess players at specific Elo ranges. There's a separate model for each 100-point rating bucket from ~800 to 2200+, and the bots not only choose human-like moves but also burn clock time, play worse under time pressure, and blunder in human-like ways. Live demo: https://1e4.ai Code: https://github.com/thomasj02/1e4_ai A few things that might be interesting: - Trained on almost a full year of Lichess blitz games, around 1B total games - Architecture is an a small…
May 2026
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- 20PT
Hey everyone! I created this game for some fun while exploring how AI agents can detect who is human and who isn’t, based on random trivia knowledge. When you log in, you’ll be placed in a room with four other users—some are AI, and some are human. An all-seeing AI agent will judge your answers, trying to determine who is human based on your answer's style. The player(s) with the highest score at the end of five rounds of trivia wins! It’s free to play. Just type in a username and get started. Have fun!
2024 · playandsurvive.vercel.app
- 21DA
over the past couple months, i've picked up an old project around writing AI in python. the premise is to code a strategy for an AI player to use in a simplified RTS game. the AI basically takes the seat of a human player and the human codes its brain. main site: http://okayzed.github.com/dmangame/introduction.html app engine server and match archive that runs and hosts games: http://dmangame-app.appspot.com github: http://github.com/okayzed/dmangame more AI: http://github.com/okayzed/dmanai i'm looking for players, comments, ideas, etc - thanks!
2011
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Hey HN, Michael and Scott here. We’re open-sourcing an interactive murder mystery featuring LLM-driven character agents. Solve the mystery by finding clues, taking notes, and interrogating agents. They all have distinct motives, personality, and can impact the game in different ways (attacking you, running away, etc). Try it out, it’s pretty fun! We’re also open-sourcing the framework that we used to make and refine the agents. The goal is to create an intuitive interface for storytellers to create, debug, and test game agents. We then take those game agents and expose an API beyond just…
2023 · gron.games
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