Instead of setting early revenue targets, new products should focus on a more telling metric: getting a small cohort of sophisticated users to become obsessed. This deep engagement is a leading indicator of product-market fit and provides the necessary insights to scale to the next 50 users.

Your first customers require obsessive, daily interaction to ensure the product works for them. Astronomer's founder spoke with their first managed Airflow customer four times a day for two months. This grueling process is essential for ironing out roadblocks and achieving product-market fit.

A sale is just the first step. The true measure of product-market fit is high retention, specifically when the product becomes so integrated into a customer's workflow that the idea of canceling their subscription would be bizarre and disruptive. Founders should be designing for this "weird to cancel" status.

The true indicator of Product-Market Fit isn't how fast you can sign up new users, but how effectively you can retain them. High growth with high churn is a false signal that leads to a plateau, not compounding growth.

Product-market fit isn't just growth; it's an extreme market pull where customers buy your product despite its imperfections. The ultimate signal is when deals close quickly and repeatedly, with users happily ignoring missing features because the core value proposition is so urgent and compelling.

The ultimate validation of product-market fit isn't retention or satisfaction scores, but the percentage of new revenue driven by customer referrals. When 30% or more of your new top-line monthly revenue comes from existing customers recommending your product, you've built something people genuinely love and need.

Instead of optimizing for retention metrics, April's founders set an extremely high bar for their own use. By ensuring the product was reliable enough for their own critical tasks, like sending investor emails, they naturally built a product with strong user retention.

The ultimate proof of product-market fit isn't just low churn; it's a "smile curve" on a cohort retention chart. This occurs when users who previously canceled later return to the product. This "just kidding, I'm back" behavior is a powerful signal that the product is indispensable.

Founders often over-index on early user complaints. However, if a product addresses a powerful, unmet demand, users will endure significant flaws. The existence of strong market "pull" is a more important signal than initial product imperfections. The market will effectively fund the product's improvement.