Analytics

Since adopting Posthog for user analytics at poketto.me, I’ve grown pretty fond of the tool. Beyond the basics and advanced insights, I’m now also using it for feature flagging. Fine-grained control (and easy rollback) of new features or major changes is becoming increasingly important as the poketto.me user base grows. Why? 🤕 In a B2C app, you can’t count on users to complain when something breaks—they’ll just leave. Especially for early-stage products, every irritated user is a missed opportunity. ...

Recently, I wrote about adopting Posthog for poketto.me. At first, I thought I’d use it for the basics: 📆 Daily & weekly active users (DAU/WAU) 📎 Core events (URLs saved, links shared, etc.) 🚨 Error tracking and alerting But then I realized: analytics can do much more. In fact, Posthog replaced one of my home-grown tools — my “podcast heuristic accuracy guestimator.” Let me explain. When a user adds content to their podcast feed, poketto.me has to gauge three things: ...

Event tracking and analytics is one of those cross-cutting topics I mentioned back in You don’t need to bring out the big guns right away (but it’s good to know them anyway): in the beginning, it doesn’t really matter if or how you do it. Often, you can just hack something together and move on to more important things. For the longest time, for example, poketto.me just had a hard-coded email notification that let me know whenever a new user signed up. That was enough to give me a general sense of what was going on. ...