Ripples Metrics

Ripples Metrics (ripples.sh) is analytics for founders who run products: one screen per product, and one across every product you run, that shows where your users come from, which ones pay, which ones stay, and what each one cost you. The problem. A founder's numbers live in five places that do not talk to each other. Google Analytics or Plausible knows who visited. Stripe knows who paid, but not where they came from. Google Ads knows what you spent, but not what it bought. Search Console knows which queries Google showed you for, but not whether any of those visitors signed up. App Store Connect knows your downloads and proceeds and nothing about your website. Answering the only question that matters, "which channel brings people who pay and stay, and was it worth it", means opening all five and doing the arithmetic by hand. Run three products and it is fifteen tabs. Most founders stop looking and just check Stripe. How it works. You paste one script tag on your site, or install the iOS, PHP or Python SDK. Then you connect the accounts you already have: Stripe, Paddle, Polar or Lemon Squeezy for revenue; Google Ads for spend; Google Search Console and Bing Webmaster Tools for search. Each connection is one OAuth click and backfills its history. Ripples joins the streams on the person: a visitor who arrived from a Reddit thread, signed up on Tuesday, paid on Friday and was still active in month two is one row, attributed to Reddit, with the revenue and the retention on it. There are no events to define, no funnel to build and no dashboard to configure. The dashboard is already built and it is the same for everyone. What you see. Traffic by channel and source, with bots scored out. The funnel from visit to signup to payment, pre-built. Revenue and MRR attributed to the channel that produced them. Retention cohorts split by acquisition channel. Return on ad spend and the payback day per channel, where spend is recorded. A Search section that puts Google's and Bing's clicks, impressions and positions beside the signups each landing page produced, with search volume and cost-per-click for the terms you rank for, and a report of the pages leaving clicks on the table. And a portfolio view: every product you run on one screen, with the same numbers per product and in total. All of it is also available to Claude, Claude Code or Cursor through an MCP server, so you can ask questions in plain language. Who it is for. Solo founders and small teams running one or several products on web and mobile, from launch to about $10K MRR. It is not for marketing teams, agencies or companies with a data analyst; it deliberately does no session replay, heatmaps, A/B testing, feature flags, SQL access or self-hosting, and it says so.