
Axiom: The 1st Social Platform for Logically Valid Reasoning
使用 Axiom 通过逻辑推理完善想法并发布到社区。
samcymbaluk · HN
Axiom toolkit – Make your ideas precise enough to be proven wrong
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使用 Axiom 通过逻辑推理完善想法并发布到社区。
samcymbaluk · HN
Axiom toolkit – Make your ideas precise enough to be proven wrong

与朋友滑动电影和剧集,找到你们都同意的选择。
@that80zguy · X
Check out what I just built with Lovable!


实时多人竞答游戏,配有AI主持人、30+游戏模式和考试备考包。
@deebee230730 · X

纽约时报 Connections 游戏的每日提示、答案和完整存档。
Connections Hint — 收集了《纽约时报》Connections 游戏从上线至今每一期的答案和解谜提示,每日更新。

通过 API 或 URL 替换将 X posts 转换为干净的 Markdown,供 LLMs 和 agents 使用
@larsbuilds · X

一款免费在线瓷砖拼图游戏,与朋友或电脑对战。
heliostatic · HN
A couple weeks ago we were on vacation with friends, and after the kids were asleep we played games -- mostly Qwirkle, which I had never played and am terrible at. I don't care about being terrible at games, so I made a web version to keep playing after vacation: build lines of tiles that share a color or a shape, 2-4 players (or add bots). I wanted it to be low friction, so there are no accounts. Your identity is an anonymous id in localStorage, and you can move it to another device by scanning a QR code or hitting a unique url. Start a game and text someone the link (game slugs are semi-memorable three word phrases), or "Play the computer" and you can play immediately against bots. Games are async-friendly with web push for turn notifications. The stack is one Node process on a small VM, Next.js + Socket.IO, no database. The server and the client use the same engine so moves validate optimistically, and the bots go through the same functions, so bot moves are always legal. State is

每日Telegram游戏,爬升公司阶梯并躲避会议。
@TStaniulis_NFT · X
🎮 Play. Test. Give feedback. Win. We’re looking for testers for our new Telegram game. 🏆Best testers get Prompt Anatomy course prizes worth $39 and $99.

每周与Edgar对话,生成个性化的LinkedIn帖子。
@edgarwritesai · X
Your personal linkedin ghostwriter

五位历史人物为您的人生难题辩论,由马可·奥勒留给出最终裁决。
u/Rcoo232 · Reddit
I built a council of 5 historical figures that debates your hardest life decision (based on Karpathy's LLM Council) A few weeks ago, I came across Karpathy's "LLM Council" concept. You ask multiple Agents the same question independently, have them anonymously peer-review each other, then synthesise a final answer. The peer-review round is the genius part; models get surprisingly honest when critiquing anonymised responses. I turned it into a consumer product where the council members are hi