
完整作品展
技术栈
22 projects


Buy a digital card on a public board. The amount you pay sets how large it is and where it sits.
@Tal_Roza · X
Appreciate the support

Turn happy customers into social proof. Collect via link, form, or QR — then embed a wall of love on any site with one line of code. Free plan.
@usetestimoni · X
Testimoni — the fastest way to collect and display customer testimonials. Multi-channel forms → curated widgets → 1-line embed. That's it. Free plan. No credit card required. Made in 🇮🇳 👉

Authoryze gives each agent purchase a single-use virtual card. A breach leaks one disposable card, not your funding source.
kevinfee · HN
Authoryze- payment controls for AI agents

Mindphor - Customer Intelligence & Competitor Watch
@realmannerd · X

Set up a few hidden cards for someone, they tap one, and chance picks the plan.
u/Raspberry_64713 · Reddit
Let chance decide the date The viral video where the guy sent the girl, “would you go on a date with me?” and the cursor kept moving and she had to click yes. It made me built this so I can send it to a guy lol (I’m not in the U.S. right now hence the different East Asian language choices at the bottom) Fill out 3 choices you might want to do together, and the other person randomly picks. You get their response either they send you back the link, you wait in the response room, or you get

将 Markdown 转换为视觉知识卡片,支持 30+ 主题和多格式导出。
md2card — MD2Card 在线工具,支持多主题,一键将 Markdown 拆分并生成知识卡片,支持 AI 魔幻卡片和长文智能拆分功能,可编辑,可导出 PNG/SVG/PDF,适合笔记分享与社媒传播


通过分析 Stripe 交易数据识别流失风险客户。
@mustloyaltide · X
everyone’s building with ai right now. i built something that deliberately doesn’t use it, just plain stripe data and some rules. turns out that’s enough to catch a customer before they leave. if you want to see it.

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

Auction your sponsor slots instead of guessing a flat rate. Sponsors bid on one YouTube video, podcast episode, newsletter issue or stream — every bid is card-backed, you approve e
@ZiadGuda · X

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