其他3 weeks ago
Customer Feedback Management and Churn Insights | FlagUp
自动对客户反馈提交进行评分、标记和去重。
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.
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自动对客户反馈提交进行评分、标记和去重。
@ImFabien · X
- feedback management and suggestion box with built-in churn insights for SaaS teams.
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.
从多个平台汇聚反馈，用 AI 分析集中管理。
@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
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.
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ProductBlaze诊断产品市场契合度，发现增长瓶颈。
@teslaptimus · X
上传产品图片，选择场景，AI生成专业级摄影照片。
@aftertakenai · X
for AI e-commerce product photography
为创意团队打造的AI视频和图像审阅工具，支持自动转录和像素级评论。
@codesharpdev · X
分享视频链接，获取团队的精确时间戳评论和Eddie AI的反馈。
thisiskp_ · Product Hunt
Review by Eddie AI Time-stamped feedback on your video from your team. And AI.
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.
由AI驱动的代码审查工具，在microVM中运行代码来捕获更多错误。
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
从App Store和Google Play评论中提取产品洞察、痛点和竞争机遇。
u/Top-Quarter-4281 · Reddit
I made a product for analysing app reviews and get insights Hi folks! I recently made ParseMyApp , it takes any app and turns its reviews into something usable: top complaints with root causes, what users would riot if you removed, feature requests ranked by impact, and where competing apps could win based on analysed app weaknesses. Bonus: No account needed, free and runs entirely in your browser. How does it work: it pulls up to 500 reviews for iOS (Apple's API cap), and up to 1500