<ul data-eligibleForWebStory="true"><li>Product-market fit in Web3 is often misrepresented, focusing on behavioral dependency.</li><li>PMF starts with solving real, ongoing, painful problems for specific user groups.</li><li>Building for a small, high-frequency user group with an atomic network is crucial for PMF.</li><li>PMF is when users can't live without the product, not just having a high number of users.</li><li>Retention and user behavior without incentives are key indicators of PMF.</li><li>Users should demonstrate emotional engagement and integrate the product into their workflow for PMF.</li><li>User obsession and frustration are stronger signals than praise for PMF.</li><li>Tokens should amplify behavior, not be the primary driver; PMF should persist through bear markets.</li><li>Assess PMF under pressure, looking at sustained usage across different market cycles.</li><li>True utility in Web3 is rare, making achieving PMF essential for a product's survival.</li></ul>

How to Assess Product-Market Fit (PMF) in a Web3 Product

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