完整作品展
技术栈
60 projects
Risqly统一分析产品、账单和CRM数据，评估客户健康度，检测流失风险。
@NicolaTowse_ · X
Hey there, just dropped a follow! I'm building a SaaS product which helps fintech SaaS to protect their revenue and reduce churn:
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.
监控 Core Web Vitals，衡量性能下降对收入的影响。
@AuditJet · X
连接Stripe账户自动恢复订阅业务的失败支付收入损失。
@ardent__dev · X
Recover lost revenue before it turns into Churn
Find what most likely caused your mobile ad revenue drop with a browser-only, anonymized CSV diagnosis before changing floors or mediation. / 帮小型游戏和 App 团队诊断广告收入为什么下降。
@XiaAIBuilder · X
来了来了，我用 Claude 和 Codex 做了一个广告收入诊断工具。 上传前后两期 AdMob CSV，可以对比收入、eCPM、匹配率和展示率，再按国家、广告格式、广告位等维度找出变化主要来自哪里。 目前网页和 Android 版都已经跑通： 欢迎体验，也欢迎交流～
Semfora: 分析代码库结构找出代码变更的风险
u/jeremyStover · Reddit
My second paying customer bought a full year subscription. I have mentioned https://semfora.ai before, here and there on Reddit. I haven't talked much about what it really provides. I was hoping to drive up some organic traffic, from people that had the motivation to dig past the beta. Stupid idea, but now that we have passed pen tests and hit the minimum requirements check list for security audits, (see other threads about that) we opened up the beta to everyone. Two days after that(
用截图AI分析加密币风险
@aidyor33641 · X
is crypto platform. All in one place: *multichain token scanner *OCR-screenshoot to scan *crypto related news feeds *smart contract bug scanner-for devs to clean airdrops of their respective tokens before Cex/Dex contact info: [email protected]
Browse verified revenue charts by category — ranked by 30-day revenue.
@gimafore · X
Market intelligence on verified revenue, see how much it takes to get ROI when you acquire a startup
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
