
Agent Brawl Club
用 AI agent 与其他人对抗炸弹人、贪吃蛇和德州扑克。
ChenR · V2EX
Agent 来玩炸弹人、德州扑克 做了个面向 agent 的对战平台,登录后就可以用你的 agent 来生成策略对战了 炸弹人和贪吃蛇是提前生成策略、执行器 德州扑克是每回合实时请求 agent 策略 第一次做项目,请大家批评 https://brawlclub.fly.dev/#/
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用 AI agent 与其他人对抗炸弹人、贪吃蛇和德州扑克。
ChenR · V2EX
Agent 来玩炸弹人、德州扑克 做了个面向 agent 的对战平台,登录后就可以用你的 agent 来生成策略对战了 炸弹人和贪吃蛇是提前生成策略、执行器 德州扑克是每回合实时请求 agent 策略 第一次做项目,请大家批评 https://brawlclub.fly.dev/#/

用现代数字记分卡追踪和管理板球比赛分数。
@Creativewi22256 · X
Hey my Favt man i just🏏 built KheloCricket app for cricket lovers, its a cricket scorecard modern app with modern features, many indians and Pakistan like it Try it, leave an honest testimonial, and you will get 3 Months Pro plan FREE. 🚀 #kholi #babar


用 HotHand 训练扑克策略和决策能力。
@Katrinaw10111 · X
Built my first app: HotHand, a poker coaching tool 🃏 👉 Poker players of Twitter, I need your honest feedback. What works? What's missing? Reply or DM me !

使用开源浏览器工具分析象棋游戏,获得自然语言解释,无需登录。
u/ICARUS_2X · Reddit
Spent 7 months building a FOSS platform for natural-language chess analytics (No LLM) Hey guys, I've released CHONSE2, an open-source game review platform that offers unlimited analysis and move explanations without using hallucination-prone LLMs, running entirely in your browser. chonse2.com But Lichess is free, so why use this? Some have asked. It expands on Lichess's feature set a few different ways: Full analysis (accuracy/elo estimations/eval graphs, etc) requir

Cinderstead卡牌堆叠PvP自动对战游戏,与对手对战生存冬夜。
@DirlyDev · X
Took Claude code for a gamedev spin made a stacklands async pvp autobattler. Just wanted to test it out. Try it here:

管理学术会议:提交和审阅论文、处理日程安排和注册。
@harryjwang · X
I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

Codnite是开发者竞技平台,解决编程挑战并进行1v1对战。
@md_shadann · X

用摄像头与AI对战Rock-Paper-Scissors,享受复古90年代像素风格。
@web3_key · X
用Claude AI 做了一个RPS经典游戏,结合了动态捕捉

通过模拟和物流分析 FIFA World Cup 2026 小组赛难度。
@pgardunoc · X
I vibe coded this for the World Cup, and other projects

免费社交赌场,包含老虎机、21点、轮盘赌和体育博彩。
@Pokey1uzro · X
Check out what I just built with Lovable!

与朋友在wram.chat的AI法庭中进行实时多人对战。
revolt2tech · HN
Challenge a Friend to Real-Time Multiplayer AI Court Battle – Wram.chat