Granola
Granola became one of the most funded European AI productivity startups ($125M Sequoia round) starting from a phase sequence that is almost textbook.
Phase 0 (problem-solution): the team identified a specific problem — meeting notes are useless because they capture words, not context. Built a prototype in one week and tested it internally.
Phase 1 (product-market fit): instead of launching publicly, the team distributed the product to 20 selected users — all heavy meeting users, all with a direct trust relationship with the team. For three months, it iterated the product based solely on this group. The key metric: 90-day retention. Only when it exceeded 70% among power users did the team consider moving to the next phase.
Phase 2 (growth): public launch on Product Hunt and distribution through productivity communities. The proven retention allowed a credible pitch to Sequoia.
Phase 3 (scale): the $125M round came after PMF was proven, not before. The correct sequence allowed raising at a significantly higher valuation than would have been obtained without retention proof.
Granola demonstrates that phase discipline does not slow growth — it makes growth more credible and capital-efficient.
Executing phases in the right order is not caution — it is the most efficient strategy for maximising valuation at the fundraising moment. Proven PMF is worth more than any narrative.