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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:
分析Reddit和GitHub讨论，为产品决策生成客户洞察。
@Tweet2Tusharr · X
hey everyone 👋 we've been working on something over the last few weeks around customer research. we'd genuinely love if you could spend 5 minutes trying it and tell us what we're getting wrong.
Turn leads into clients with automated outreach, a B2B lead database, email deliverability tools, and an AI-powered CRM. Start free today.
@InstantlyAI · X
分析你的产品以诊断市场契合度并发现增长瓶颈。
@teslaptimus · X
Mindphor - Customer Intelligence & Competitor Watch
@realmannerd · X
一键连接 Shopify 和广告账户，查看统一的利润及广告效果分析。
@revenome · X
Building Revenome ( — automated profit & ad analytics for Shopify brands. Cuts through the noise to show your real net metrics 📊
将 Stripe、PostHog 和 Google Analytics 的业务数据集中到一个仪表板。
@xdrewmiko · X
Roast my SaaS - Would you use it? - Should I change anything?
使用七个AI模型生成和比较报价、邮件和广告文案。
@MarkZofMarkZ · X
Let's connect! Profit Router 📈
AI CRM 平台，提供 AI 驱动的销售洞察和管道自动化。
@SaikatKuma87126 · X
Just shipped AI CRM 🚀 A lightweight CRM with AI-powered sales insights. Would love your feedback: Building with Next.js + Prisma + Gemini AI. #buildinpublic #NextJS #AI
OutsScale：检测购买信号，获取已写好的外展文案。
@rajkvishal · X
Find buyers already showing purchase intent — before your competitors do.
Undersrvd帮助发现被忽视的市场空白和商机。
u/Bootfit · Reddit
Building is easier than ever but knowing what to build isn’t. Hello everyone - I’d like to show you the MVP of my new website http://Undersrvd.com Undersrvd grew from a problem I was trying to solve for myself. I’d been poking different AI engines for a while trying to get them to recognise signals in news stories etc that could point to the next big thing on the horizon - the next fad, fidget spinners, Labubu etc - trying to get ahead of the game. When they couldn’t come up with anythi
追踪访客转化为客户及其来源的分析平台
@omarwaleedzen · X
DataLook - analytics that counts customers, not clicks. Your dashboard shows 100 numbers. DataLook shows the one that matters: which visitors actually became customers, and where they came from.
