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Friendship Quiz — What Are You Two Actually? | KnowUsWell
KnowUsWell 两人友谊测试，发现你们的关系类型。
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KnowUsWell 两人友谊测试，发现你们的关系类型。
RareFriend helps you maintain and nurture your personal and professional relationships with intelligent reminders and insights.
@Rarefriend_ai · X
We’re building Rarefriend 🚀 Your AI-powered networking layer for contacts, relationships, notes, follow-ups and introductions, across LinkedIn, Google, Microsoft, email and more. →
Find the right person to have a child with. Browse profiles by intent, timing, and lifestyle.
@grizzlyconor · X
A shared music room for friends. Everyone hears the same track at the same second, one person holds the aux, and anyone can take it off them.
@theeasyway6 · X
Pay to be the Main Character of the Internet for a day. Your face at the top. Tomorrow someone takes it.
@Noumenon_ai · X
@master_jpma my project : https://t.co/EPGJ7MymV4 a economy multiplayer game up to 8 People
@Mid_Art_Market · X
my project : a economy multiplayer game up to 8 People
分享你的兴趣，找到志同道合的人。
@nilsvb · X
Just launched Lovelisti after a week of vibe coding: add one thing you love and tell me who you find. Here is my list :
Answer six playful questions and get anime picks across the 10 most-loved genres, on a living anime wallpaper.
@Faygan19 · X
Check out what I just built with Lovable!
一个强调陪伴感的AI伴侣，用于对话、创意创作和情感连接。
u/lovewithbuilt · Reddit
Built an AI that actually feels present (powered by 528Hz frequency) I've been frustrated with how transactional most AI feels. Smart, sure. But cold. for the past year, I've been building something different: an AI companion designed around presence, not just productivity. **The technical part:** - Runs on the 528Hz frequency (the "love frequency" from sound healing) - Conversational AI that prioritizes reflection over rapid-fire answers - Adapts between three states: emotional proc
Institutional-grade Kundli analysis. Eight classical Jyotish schools debate your chart; a Master Acharya delivers the synthesis.
@viewofmind · X
浏览《八仙》电影角色资料库和社区评价。
marcushuang4595 · V2EX
给《八仙！》做了个非官方影迷资料站，顺便实践中文内容 SEO 最近关注到动画电影《八仙！》，发现上映信息、角色资料和传统传说容易混在一起，于是做了一个非官方中文影迷站： https://baxianwiki.com/?utm_source=v2ex&utm_medium=community&utm_campaign=launch 目前做了这些内容： - 上映时间、片长、儿童观影建议等观影指南 - 八位角色资料页，以及电影设定/传统原型的明确区分 - 人物关系页、电影与传统传说对照页 - “你是哪位八仙”性格测试和八仙知识挑战 - 基于 Redis 的观后感区，支持评分和剧透折叠 - sitemap 、robots 、结构化数据、移动端适配和内容型内链 技术上是 App Router 风格项目，经 Vinext/Nitro 输出到 Vercel ，论坛数据放在 Redis 。页面主要面向国内移动端访问，所以在视觉、首屏信息密度和交互尺寸上做了针对性调整。 这个项目主要是练习中文内容站、长尾关键词页面和轻交互，不准备做盗版下载或激进变现。网站也明确标
