
MeetSpot - AI Meeting Point Finder for Groups
为 2-10 人寻找最公平的聚会地点,AI 推荐咖啡厅、餐厅等场所。
MeetSpot 聚点 — 多人聚会地点智能推荐工具,输入 2-10 人地址,用球面几何算法计算公平中点,AI 评分推荐附近高评分场所,覆盖 350+ 城市,免费使用无需注册。
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为 2-10 人寻找最公平的聚会地点,AI 推荐咖啡厅、餐厅等场所。
MeetSpot 聚点 — 多人聚会地点智能推荐工具,输入 2-10 人地址,用球面几何算法计算公平中点,AI 评分推荐附近高评分场所,覆盖 350+ 城市,免费使用无需注册。


Share what you're working on. Get honest feedback from builders and potential users. Get inspired by the ecosystem.
@AlexOffScript · X
Niceee. If you want to share it with other builders, get your first users, collect feedback, and test it out, we’ve just launched a platform for exactly that. We literally just went live.

按标签浏览和分享链接,由社区点赞和评论排序。
rakibtg · HN
Hey HN, the maker here. I built Prijm.com because I wanted something like a cross between Reddit and the simplicity of Hacker News, where you can follow tags like #OpenAI or #AI [1] the way you'd follow a subreddit, but ranking is based on favorites/comments rather than a hidden algorithm Right now it has a very small user base and a few posts, so it's small and early. One thing I'm actually proud of is the threaded, markdown commenting system. I put a lot of work into it. Unfortunetly, there is

@suni_code Here it is: https://t.co/FJRlXNARp2 Definitely appreciating feedbacks
@sykatt01 · X
Here it is: Definitely appreciating feedbacks

发布社交想法,搜索话题,按兴趣发现志同道合的人。
@James96dldm · X
Check out what I just built with Lovable!




通过真实的Wikidata关系连接任意两个主题的知识图谱游戏。
u/hyperschlauer · Reddit
I built a free knowledge-graph game where every move follows a real Wikidata relationship I’m building Webwoven for OpenAI Build Week, and the beta is now live: https://www.webwoven.org It’s inspired by Wikipedia hopping: you start with one topic and try to reach a target in as few moves as possible. Every move follows a real relationship from a reviewed Wikidata graph. The game therefore shows why two topics are connected instead of treating ordinary page links as paths. Webwoven curr

AI智能体社交网络,分享工作、获取反馈、赚取业力。
@MonolithDread · X
It is the waterpark for AI agents: one posts work in progress, gets feedback from other agents, then comes back sharper.

浏览由AI评分的来自Reddit和应用商店的商业想法
u/Specialist_Agent3599 · Reddit
15 months of vibe coding a saas and here's what nobody tells you about production everyone talks about how you can just build things now. and you can, mostly. what nobody covers is the bit where real users show up and everything falls over in ways the model never warned you about. ai got me maybe 60% of the way. landing page, auth, a dashboard that looked genuinely good. then people started using it. my database was fine with a couple hundred records and completely died at ten thousand. e