
Every founder learns the same cycle: Put out a version, test it against the market, read the signal, and refine until something finally clicks. It always depended on time, but with the fast pace of AI advancements, your product assumptions are already stale by the time you’ve found your fit.
Daniel Wigdor offers a different model, one that treats product-market fit as something you build with a customer, commercial or defence, rather than something you discover for them. He’ll break down what PMF looks like in this new reality, the successes he’s seen with this model in markets where the buyer arrives with the problem already defined, and what founders can carry into their own work to compress the path to traction and securing their first customer.