@PEEPZonRH · X

Just launched $peep 0xf0821f2BF570ca4e7499a9Ed9dB7C788FED9946f Cooking nfts as well

@ScatterLabz · X

u/kaneki0dd · Reddit

Built SignalBoard a $15/mo Canny alternative for feature voting & roadmaps Been building this because Canny charges $79/mo for something that should be simple: let users vote on features, show a public roadmap, ship a changelog. https://preview.redd.it/h2x588h0n8dh1.png?width=1200&format=png&auto=webp&s=c5a4e15c59008ee67b495b7c35e1350d314e257b What it does: Feature voting — verify once, vote with one click after that AI duplicate detection — catches near-identical

@Raccoltadev · X

If you have too much scattered feedback:

@lai_jia_wei · X

发布我们团队的第一个 side project 项目 这是一套收集、处理用户反馈的 Agent 工作流，包含 Widget、CLI、MPC、Skill，开源地址在评论区。 随着运营产品越来越多，许多细节很难逐一深入体验（尤其当自己不是目标用户），AI coding 可以实现可用，但是好不好用还得是现场用户说了算，更别说出现静默 Bug 的时候，只能实际使用才知道哪里出问题了。 所以我们做了一个很轻量的小工具，Make This Better 可以让用户在网页上提交反馈，AI 根据现场进行需求分析，最后你的本地 coding agent 接手处理，全程不碰任何数据、代码。 内部运行下来，帮助我们处理了不少用户反馈，甚至有些用户建议让我们发现了新需求。 前端 widget 组件是开源的，支持自定义后端，后端接口设计也在仓库里。如果你不想自己写后端，欢迎使用我们的官网后台，支持 BYOK，个人使用是完全免费的，不限项目数。 AI writes the code. Users make it better. 欢迎反馈。

@Tim_S_Wilkinson · X

Launched recently

@socialhighwy · X

Jellar is a place where builders get structured human review on AI-built and vibe-coded products, and testers earn karma reviewing real projects.

@heyayankai · X

💬 Building FeatureSay. A simple platform to collect user feedback, prioritize feature requests, and build what customers actually need.

@ShashankCode · X

Checkout here :

@danielngbq · X

Check out what I just built with Lovable!

@AmitGajbhare · X

We build - a modern typing platform that helps people improve typing speed and accuracy with AI-powered practice, real-time feedback, progress tracking

@Aryandwi007 · X

Hey check this out