完整作品展
技术栈
22 projects
FeedLog是开源AI反馈工具，免费收集和管理用户需求。
@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.
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.
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.
用AI快速生成更好的社媒回复，符合你的风格。
@kashifbuilds · X
Hey hey, I recently launched and am currently working on onboarding and engagement metrics. Lets connect!
用TurboLearn从学习资料生成笔记和图表。
Turbo Learn — 从文档、图片、拼音文件生成笔记的 AI 学习工具网站
通过二维码收集谷歌评论,用 AI 协助快速回复。
@SamiirHalady · X
Building ReviewMitra: Living Customer‑Centricity If you listen closely enough, your customers will write your product roadmap for you. When I built the goal was simple : help businesses get Google reviews without typing them out. That idea became reality. My first vibe‑coded app took time, but it worked. Then a friend asked, “Can we respond to reviews too?” That one question sparked the next feature : replying directly from the merchant login. Soon, I added sentiment analysis, a word cloud, and WhatsApp integration. Then came support for multi‑outlet brands, and now, a white‑label option for agencies. And here’s the part I’m most proud of - ReviewMitra now generates reviews in 39 languages, including 22 Indian languages and several European and Asian ones. Because trust shouldn’t be limited by language! Every new feature wasn’t planned, it was inspired. By feedback, by curiosity, by conversations. For years, I’ve told clients that the best approach is customer‑
用AI快速生成个性化邮件回复，支持自定义语气和团队协作。
@Hassan71030486 · X
Generate personalized AI-powered cold email replies in seconds. Perfect for founders, agencies, freelancers, and sales teams. ✨ Try 3 replies for free — no signup required. Would love your feedback! 👇 🚀 Sendox —
AI代码审查工具,在microVMs中运行代码以捕获更多错误。
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
BotbaseAI：无需编码快速构建并部署 AI 客服机器人
@BotbaseAi · X
We just shipped 🚀 BotbaseAI — build & deploy an AI customer support agent in minutes. No code. Looking for early testers to break it and tell us what sucks. Try it → 🙏 RTs appreciated #buildinpublic #AI #SaaS
Grow your X following with AI-powered replies. Persona-matched, context-aware engagement that sounds like you. Real-time data context, 24/7 autonomous work. 40 free replies, no cre
@leononrails · X
Simply go nuts
粘贴IELTS作文获得AI评分、标准反馈和改写建议。
chenillen · HN
LingoForge – AI-powered IELTS writing with instant feedback
在数分钟内启动用户反馈调查，采用 AI-powered sentiment analysis
@elvan_hq · X
Feedback surveys with AI summaries for SaaS and ecom teams. NPS, CSAT, CES in minutes, not days. Built for the one-person CX stack who doesn't have time for enterprise tools.
