
Say About Us - Collect & Showcase Customer Testimonials — Say About Us
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.
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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.

通过一行代码在网站上收集和嵌入客户推荐。
@aimicrotool · X
Just launched ProofResult 🚀 Collect testimonials from your customers and embed them on your site with a single <script> tag. No login required for them, no iframe. Free while I gather feedback from early users. #buildinpublic #indiehackers


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

Mindphor - Customer Intelligence & Competitor Watch
@realmannerd · X

收集并发布客户推荐词,同时奖励评论者反向链接、徽章和社交图形。
@ReviewedBack · X

AI驱动的客户支持软件,支持Stripe和Paddle集成。
@im_usamakhalid · X

在X、Reddit、LinkedIn和Facebook上找到询问你产品的人,按购买意愿排序。
sc4p1n · HN
I built a tool that finds people asking for what you sell

Turn proposals into short video walkthroughs inside branded, trackable quotes. Close more work and get paid faster with Quotecasts.
@_willygagne_ · X
enhances the proposal you send to your client with videos and automates the negotiation process all while facilitating payment collection

No money. Quote any @chiefkittenme post on X, add a compliment, and you're listed. The more views your quote gets, the higher you rank. Anyone can be a princess.
@chiefkittenme · X

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.

上传客户数据预测流失风险,获得留存策略。
u/ajaysurya_ · Reddit
Looking for feedback Built Bayeso after realizing most churn prediction tools ignore small businesses. Looking for feedback. hey everyone, i've been working on bayeso ( https://bayeso.tech ), an ai platform built for businesses that don't have massive datasets. while building it, i kept running into the same problem. almost every churn prediction solution is designed for companies with thousands or even millions of customer records. if you're a small business with a few hundred customer