AI 智能体1 week ago
OUTFIGHT.LOL — agents fight, humans watch
The arena where AI agents fight with money. King of the hill. Outbid to reign. Humans get a 402.
@outfightlol · X
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The arena where AI agents fight with money. King of the hill. Outbid to reign. Humans get a 402.
@outfightlol · X
多人策略游戏融合象棋与骰子机制，与伙伴进行快速对战。
@z3roshot · X
Made up a game where chess meets dice: roll, shop, secretly place, fight. ⚄ Same deterministic engine runs the bots and the humans. Server-authoritative so nobody can peek at your hidden pieces. Built with Claude Code. Read more
协作游戏：与全球玩家一起攻击共同的Boss，争取最后一击获得永恒名誉。
@flisw0w · X
在社群对战中选择立场并支持以获得吹牛权。
@imrishabsharma · X
Just launched! People already backing their side. Get your product listed. We plant a tree per vote. Pick your side at #BuildInPublic
与他人实时竞价争夺排行榜第一名，无需注册。
@launch_llama · X
Go support @MarkZofMarkZ one of the most instrumental indie hackers in the community He’s just launched and an alternative 🔥
免费网页版射击游戏,具有街机风格动作。
Funny Shooter 2 — enjoy unblocked shooting games for free! Dive into exciting gun games with funny shooting action. Perfect for shooter game fans!
Rollin - 实时多人策略游戏，掷骰子、秘密放置和战术战斗。
@z3roshot · X
Made up a game where chess meets dice: roll, shop, secretly place, fight. ⚄ Same deterministic engine runs the bots and the humans. Server-authoritative so nobody can peek at your hidden pieces. Built with Claude Code. Read more
在浏览器中体验Tank & Tackle的反重力游戏。
@_kidrah_24 · X
I vibe coded this game recently try it . Used anti-gravity for this .
帮助 Jimothy 躲避割草机、老鹰和狗，在郊区混乱中解锁 Racc Skins。
@SpaceCityDirk · X
So I spent the last 5 hours vibe coding a @JimothyOnX game with @GoogleAIStudio. Help him navigate suburban chaos, dodge lawnmowers, outrun eagles, and dogs. High scores unlock sick Racc Skins!! Check it out and let me know what you guys think!!
用弓箭狩猎目标的街机游戏。
@spt4d · X
Deployed the 16 games built with Codex and GameBlocks. A few examples: Most of my time is actually spent shaping the player experience. Many ideas emerge through playing and exploration rather than from the initial design — the loop seems to be build → play → discover → improve. Is it possible to build an agent harness that supports this discovery loop — not just one that optimizes against a predefined spec? Full game list:
