
Amisora
AI Visibility Audit Platform for ChatGPT, Perplexity & Google AI
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Amisora audits your site for AI visibility and shows what to fix so ChatGPT, Perplexity and Google AI can cite you more often.
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2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
We specifically for our app wanted to solve the retention piece first. We chose the behavior in the app that would be associated with retention. Our whole app is like a water reminder app right now — we built that specific functionality before anything else.
Ship the one retention-driving behavior first — water reminders
Instead of broad feature scope, Greg shipped one core retention behavior first — push-notification water reminders — because that was the behavior most likely to bring users back over six months. The team needed six months of retention data to fundraise, so they front-loaded the single feature that would generate that signal.
pick one core value and defend it... everything start working when we double down once we focus entirely on making database visualization obvious and ignore everything else
Defend one core value obsessively until adoption feels effortless
Jonathan's retention insight is upstream of typical retention tactics: if the core value is sharp enough and delivered reliably, users keep coming back without needing nudges. ChartDB resisted feature sprawl and kept sharpening its single promise — make any database instantly visual — until that promise was undeniable. Retention became a byproduct of product clarity rather than a separate growth lever.
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