Blog • Product Strategy
By Cemhan Biricik — Founder of ZSky AI
Product-market fit in AI is different from traditional software because user expectations shift with every new model release. What felt magical six months ago feels basic today. Here is how I navigated that moving target while building ZSky AI.
Retention is the only reliable signal of product-market fit. Not downloads, not sign-ups, not social media buzz — repeat usage. When users started returning to ZSky AI daily to generate images, I knew the core product was working.
Users will tell you they want a hundred features. Watch what they actually use. The features that drive retention are often different from the features users request. I track usage patterns obsessively and build based on behavior, not surveys.
As a solo founder, I can ship features in hours, not weeks. A user reports a friction point at noon, and the fix is live by evening. This iteration speed is impossible in larger organizations and creates an experience that feels responsive and personal.
The decision to offer a genuine free tier was the single biggest product-market fit accelerator. It removed the risk of trying ZSky AI and let users discover value before any financial commitment. Users who converted to paid plans had already validated the product for themselves.
If you are spending more time marketing than building, you probably have not found product-market fit yet. When the product truly fits the market, growth feels like pulling — users pull the product forward. Before fit, growth feels like pushing — you are forcing adoption through marketing spend.
By tracking retention, shipping features rapidly based on usage behavior, and offering a genuine free tier that let users discover value risk-free.
Users returning daily, organic growth outpacing paid marketing, and feature requests focusing on depth not breadth. Retention is the only reliable signal.
No fixed timeline. The key is measuring behavior, not vanity metrics, and iterating rapidly.