开发者工具2 months ago
Coohoo — Click-to-comment feedback for staging sites
Coohoo 是一个无需登录的视觉反馈小工具，可在测试网站上点击元素留言。
@vova_tsurkan · X
Built my first app with @shipstudio_app Now Coohoo is live on Product Hunt! 🚀
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Coohoo 是一个无需登录的视觉反馈小工具，可在测试网站上点击元素留言。
@vova_tsurkan · X
Built my first app with @shipstudio_app Now Coohoo is live on Product Hunt! 🚀
PRcade 通过团队排行榜和分析可视化GitHub代码审查性能
u/SnooStrawberries827 · Reddit
my team had 47 open PRs and nobody was reviewing them, so I gamified it our team hit 47 open PRs at one point last month and nobody was reviewing them. tried slack reminders, deadlines, rotating reviewers, none of it really stuck. might be related to the fact that everyone's hyped about how fast AI can write code now, copilot cranking out entire features in hours, but none of that matters if the PR just sits there for a week. feels like writing code stopped being the bottleneck a while back
描述您的项目成果,与经过认证的自由职业者匹配;款项由第三方托管。
@ashish_b_py · X
Tiered of buring tokens to get 70% product
为多个客户管理创意项目，支持隔离工作区和白标审查链接。
@monkmodeceo · X
Send any file to clients as a single review link. Collect feedback, approvals, and sign-off in one place. No client account required. Free to start.
@mikevannelli · X
Monitor uptime, catch production errors, understand traffic, publish status updates, and keep a changelog from one place.
@pbaxm · X
late to the party as I had two kids to tend to... but check out it's a 3-in-1 toolkit (uptime, analytics, error tracking) with SDKs for Ruby, Elixir, and JS (more to come) and it replaced AppSignal/Sentry, Fathom, and UptimeRobot for my own dev work
在您的网站上嵌入轻量级 widget，收集用户反馈、bug reports 和 screenshots
@CoryMeikleDev · X
I built SiteSay a tool that allows you to embed an incredibly lightweight (4.33kB gzipped) widget to your website for collecting feedback/bug reports with screenshots. It also automatically attaches any uncaught JS errors/unhandled promise rejections.
在 X 上自动查找相关帖子，用 AI 生成的个性化推介进行回复。
@costin_gh07 · X
Indie hackers, ever find yourself sinking hours into finding the right posts to reply to on X? I built to automate that struggle. Curious, how much time do you think it eats up for you daily?
通过 widget 收集用户反馈，AI Agent 自动分析处理。
@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。