Founders who achieve product-market fit often attribute success to surface-level features (e.g., "saves time") rather than the deep underlying physics. This flawed understanding leads them to build new products based on incorrect assumptions, dooming them to fail when they try to innovate again.
Related Insights
Founders often try to convince themselves they have PMF. The actual moment of achieving it feels like a sudden, unmistakable change—a switch, not a spectrum—making it clear that all previous feelings were just wishful thinking.
In fast-moving industries like AI, achieving product-market fit is not a final destination. It's a temporary state that only applies to the current 'chapter' of the market. Founders must accept that their platform will need to evolve significantly and be rebuilt for the next chapter to maintain relevance and leadership.
Many founders mistakenly believe achieving product-market fit is the final step to explosive growth. However, growth only ignites after also finding a repeatable go-to-market fit, which translates the founder's initial sales success into a scalable process that a sales team can execute consistently.
PMF isn't a one-time achievement. Market shifts, like new technology or major events, can render your existing model obsolete. Successful companies must be willing to disrupt themselves and find new PMF to stay relevant.
The 'never give up' mantra is misleading. Successful founders readily abandon failed products and even entire startups. Their unwavering persistence is not tied to a specific idea, but to the meta-goal of finding product-market fit itself, no matter how many attempts it takes.
The idea that startups find product-market fit and then simply scale is a myth. Great companies like Microsoft and Google continuously evolve and reinvent themselves. Lasting success requires ongoing adaptation, not resting on an initial achievement.
When a startup finally uncovers true customer demand, their existing product, built on assumptions, is often the wrong shape. The most common pattern is for these startups to burn down their initial codebase and rebuild from scratch to perfectly fit the newly discovered demand.
Product-market fit can be accidental. Even companies with millions in ARR may not initially understand *why* customers buy. They must retroactively apply frameworks to uncover the true demand drivers, which is critical for future growth, replication in new segments, and avoiding wrong turns.
Once a founder finds intense customer demand, they forget it exists as a separate variable. They attribute success to their product genius or sales skill, not the pre-existing market pull. This psychological shift makes their post-PMF advice misleading for founders still searching for demand.
Successful founders can easily land initial customers and renewals through their personal network. This creates a dangerous false positive for product-market fit, masking whether the product has scalable value and can be sold by others without the founder's presence in the room.
