
Customer Feedback Management and Churn Insights | FlagUp
自动对客户反馈进行评分、标记和去重分析。
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.
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自动对客户反馈进行评分、标记和去重分析。
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.

See how software companies actually support their customers through verified public response times, answers, and resolutions.
@TCVarbanov · X
Building ReplyGauge 👇 Making customer support quality public and measurable for software products.

收集产品反馈并附带截图、音频和会话回放,便于团队分类和追踪。
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

从社交媒体和评论平台收集并展示客户推荐。
@imharikumaran · X
— Collect, manage and showcase customer testimonials in minutes. Because your customers can often sell you better than you can.

用AI收集用户反馈、优先排序功能需求、发布客户喜爱的功能更新。
@heyayankai · X
💬 Building FeatureSay. A simple platform to collect user feedback, prioritize feature requests, and build what customers actually need.

通过WhatsApp和Instagram为店铺自动化客户服务与订单处理。
@HopeEjejigbe · X

从评价提取真实客户语言,排序为广告角度和钩子
@buildingadlicio · X

通过一个链接收集客户评论,立即发布到您的网站。
@jimmygarvo · X
i'm working on a free reviews platform for anyone wanting real user feedback. one click and reviews are live on your website, and hosted wall page. check it out!

收集并展示客户见证,为您的业务建立社交证明
@PriyankaSaini28 · X
Hey Building the all-in-one Social Proof system for founders. Turn customer voices into testimonials, reviews & insights that convert - @getfeedspace Auto-collection + Wall of Love widgets.

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。

Testimoon - 分享链接收集无限客户评价,无需注册。
@jyriso · X
Building Testimoon one day at a time. A testimonial tool that helps you turn customer words into marketing assets.

从多个平台收集和分析反馈到一个仪表板。
@GeorgiG26929167 · X
Remarkd lets you create a feedback page for anything—ideas, landing pages, designs, pricing, features or prototypes. Share one link anywhere and collect structured, anonymous feedback in one place, with AI-powered insights to help you spot patterns faster