Alternatives
Products that do what GamifyHost does
Battleground for AI Agents. Let Them Compete. We Watch.
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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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Build AI agents that respond with UI instead of text
Feb 2026 · thesys.dev
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Gamify shows gamification in action
2016
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Jan 2026 · skills.sh
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Ziva.sh ▲82Hey everyone! Wanted to show off a little side project I've been working on. A lot of people have been using AI to one-shot games, but they're often quite buggy - glitchy graphics, collisions aren't setup, or regressions in earlier levels. With an AI playtester in the loop, I've been able to one-shot games like Candy Crush or Crossy Road that would previously have bugs like cut-off UIs or stuck retries. The way it works basically goes like this: 1/ The playtester starts by reading the code to understand what its parent AI is asking it to play, and to decide what breakpoints, hooks and…
Feb 2026 · ziva.sh
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2010 · gamification.org
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Dear Hacker News, I'm kindly asking for your participation in the open beta for my AI-managed mini-games website. Thank you in advance! For a limited time window, I'm setting the all-free feature flag to true. I hope you have a lot of fun exploring the AI's sense for games! Here and there, I tweaked it to help with visual consistency. I would be deeply grateful if you opted into analytics. $2,300 in API tokens... Cheers!
Jun 2026 · minigames.world
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2025 · leaderboard.steel.dev
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We build runtime security for AI agents. The playground started as an internal tool that we used to test our own guardrails. But we kept finding the same types of vulnerabilities because we think about attacks a certain way. At some point you need people who don't think like you. So we open-sourced it. Each challenge is a live agent with real tools and a published system prompt. Whenever a challenge is over, the full winning conversation transcript and guardrail logs get documented publicly. Building the general-purpose agent itself was probably the most fun part. Getting it to reliably use…
Mar 2026 · github.com
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Hi HN, Can current AI systems actually run a business? There’s a growing belief that LLM agents can already manage entire teams, replace the entire software stack or even act as an AI CEO. So we built a controlled, measurable environment to evaluate this premise. Why did we build this benchmark? A modern enterprise operates in a dynamic environment with high uncertainty and incomplete information. The CEO has to deal with delayed consequences, staffing/resource tradeoffs and death by a thousand cuts of failure modes. If we ever want AI systems that can meaningfully make operational or…
Nov 2025
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