u/atylerrice · Reddit

I videcoded an app like duolingo but for poker! Mostly with claude code and codex. My open claw agent runs bug hunts throughout the day and night and pushes fixes automatically. it also looks for bad design or design that is hard to understand and opens github issues for those automatically. It started with a prompt that was basically just build duolingo but for poker. with a loop since that was popular at the time. I’ve hit my token limit almost every week since starting whi

@kngkng182542 · X

If you're paying for Canny, give FeedLog a look. Same workflow for collecting feedback and managing feature requests, but free during launch.

@adib_011 · X

Built RepoLens at the Codex Meetup, an evidence-first JS/TS code review tool that shows reviewers where to look, without executing repository code. Built with Codex + GPT‑5.6. Try it: Demo: @OpenAIDevs @mitul_shahriyar #CodexMeetup

@Raccoltadev · X

If you have too much scattered feedback:

u/Zealousideal_North83 · Reddit

Fidibeki — Product feedback that finishes the job Building products is what drives me. While working on my own products, I noticed the same problem: feedback comes in, loses context, and users rarely hear what happened next. So I built Fidibeki. Users can report issues directly inside a product with screenshots, audio, or session replay. I can triage everything in one inbox, merge duplicates, track progress, and keep reporters updated. Privacy is built in: session replay

@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。

markquis91 · HN

Prompting Refinement Tool [requesting testing]

u/dumbfoundded · Reddit

Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

u/WishboneHumble5889 · Reddit

I built a UX review tool because I kept seeing the same problem in AI-built apps I’m a product designer. For years my job’s been catching the moments where people quietly struggle inside a product, the stuff that never makes it into a bug report. AI coding tools made building fast, but I kept seeing the same thing: the app worked, and the experience didn’t hold up. A form that clears on error with no message. A delete with no undo. Built Dorven to catch that gap. You give it a

@AshK36478121360 · X

Built FeedbackNotify: a place people can ask questions or give feedback without their name attached, so you actually get the honest answer instead of the polite one. Try it here

@heyayankai · X

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

@keshav__dev · X

Hi priyanka i am also building in customer feedback space but with some dev related features. Maybe you want to check