
Creators Orbit
Explore creators and videos in a galaxy of talent — Creators Orbit.
@ElMourtejihb · X
Could you give your feedback On it:
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Explore creators and videos in a galaxy of talent — Creators Orbit.
@ElMourtejihb · X
Could you give your feedback On it:

Discuss and debate topics with others through text, voice, and video.
@nameisnotanoun · X

Shop live or browse authentic cultural and heritage goods from independent sellers in 190 countries — each listing carries its maker and origin.
@Velorgm · X

Trade on real-time public sentiment markets for athletes, politicians, and cultural figures.
u/Maleficent-Ad-5181 · Reddit
got roasted, made some changes, ready to get roasted again A few weeks ago, we posted about our marketing, and we got the following feedback on our website: I visited your site and have no idea what it is that you do This site is garbage 🙂 Very confused on what the website is for. Ai slop I have no fucking idea what your company does or how any of what I’m looking at works. Discouraging? A little. BUT it was actually very helpful to hear some brutal feedback we hadn't heard ye

One Crown. One leader. Join a live fandom battle where momentum fades and every supporter can change the throne.
@PawanPathakk · X
I’ve genuinely always wondered how you’d actually settle this debate. Everyone says their sport has the biggest fanbase! Maybe the answer is to just let the fans decide.

Social media course community with content, audio, and payments.
@imwsl90 · X
老卫Vibe coding进展.20260727 1、做了一个简单的监控网站,自用为主,监测我自己开发的网站的流量和下单来源,目前够用了 2、做了一个【老卫自媒体核心群】课程社区 - 支持注册、支付、阅读内容,还可以听音频,支持后台更新文章,文章格式默认markdown 3、做了一个【老卫的Vibe coding社区】- 支持注册、支付、阅读等 至此,老卫面向大众的课程相关的内容全部搬到了自己托管的网站上去了,技术栈如下: 前端:React + Vite 后端:Cloudflare + Workers 数据库:Cloudflare D1 存储:Cloudflare R2 邮件推送:Resend 这一切都不是要钱,老卫只买了个域名,10美金/年。(约 ¥67.78) 后续计划如下: 1、录制老卫Vibe coding相关课程,这个拖了比较久了,最近一直在vibe coding 2、模块化最近写的一些网站,争取做一份通用的代码出来,方便后续别的产品的上线 3、对接支付,目前计划对接Stripe, 对于支付老卫还是比较慎重,所以估计要一月以后了 关于Vibe coding,老卫的一些观点 Vibe coding极大的降低了编程门槛,大家多去烧token 十万美金以下的编码,AI都能搞定,多去像创意,把交易流程走通,剩下的就是搞流量和卖了 不要浪费时间去讨论哪个大模型好,这是极端浪费时间的事情,哪个好就用哪个,剩下的就是干就完了 最后宣传一下老卫的两个社群 - 自媒体核心群、Vibe coding社群,需要加入的私信老卫小号 - xiaowei6571

Listen to music together in shared rooms with chat, skip voting, and AI-powered song requests.
vodmaker · V2EX
做了个在线听音乐的另一种可能 平时听歌,不管是工作还是休息,习惯基本都是:打开 App ,进入歌单,然后开始播放。 我最近在想,听歌是不是还能有另一种方式? 参考 KTV 的点歌模式,我做了一个多人在线听歌的小产品——听歌 Next 。 大家可以进入同一个房间,一起听同一首歌,也可以各自点歌,把想听的歌曲加入播放队列。播放进度会在房间内同步,还支持聊天和投票切歌。 另外做了一个自然语言点歌功能,不需要准确输入歌名,可以直接说: - 来几首适合下班路上听的歌 - 想听一些周杰伦早期的慢歌 - 放几首适合写代码的轻音乐 系统会根据描述推荐歌曲,再批量加入播放队列。 目前还是早期版本,欢迎大家来试用,也欢迎反馈问题和建议: 试用地址: https://tingge-production.up.railway.app/

Record screens and generate AI-narrated scripts for product demos and tutorials in multiple languages.
@me_using_x · X
Do you need a product demo or wanna make tutorial/help videos? Your problem is solved for ever now! Try: PS: I am the developer who built this and I am self promoting it via this thread. 😀

Learn languages by watching real video clips from movies and podcasts with native speakers.
u/Ecstatic-Rooster3295 · Reddit
Built a small tool to see how native speakers actually use words across different media (movies, podcasts, etc.) I used to use YouGlish a lot while studying, but it always felt pretty basic—you watch a clip, and that's it. I wanted a way to filter clips by specific media (movies, TV shows, podcasts), get translations, and actually ask an AI why someone used a word in that specific context when textbook definitions fell short. So I spent some time building my own version to

Upload a sample video to teach the AI your delivery, then generate new videos with your avatar.
@bygenaaa · X
— record your face once, then you just type. It makes the video with your avatar and your voice, so there's no filming after that first 30 seconds.

Translate voices in real-time across Zoom, Teams, and other video calls in 40+ languages.
@Caleb_L509 · X
ai voice translation for calls

Conduct AI-powered voice, chat, and video interviews with automated transcripts and insights.
Aural — 开源 AI 面试平台,支持语音、聊天和视频面试,提供自适应追问、结构化评分、面试练习与自托管 - [查看仓库](https://github.com/1146345502/aural-oss)