Granola was born from Chris Pedregal and Sam Stephenson’s recognition that back-to-back meetings create widespread cognitive overload and administrative drag—especially around note-taking, follow-ups, and CRM updates. Rather than chasing flashy AI features, they focused on one high-impact, user-centered problem: helping professionals quickly recall what was discussed and what needs to happen next. Their early experiments with GPT-3 led them to prioritize simplicity, habit-forming design, and deep integration with real organizational context—not just transcripts, but eventually emails and Slack. They achieved rapid product-market fit by launching a lean, single-feature MVP after months of closed beta testing with 150 users, tracking engagement through behavioral metrics. Strategically, they deferred work on areas like multilingual support while betting on maturing AI infrastructure—larger context windows, better RAG, and falling inference costs. Operating from London, they’ve built a globally competitive team grounded in taste, quality, and user empathy—designing not for theoretical needs, but for high-stakes, time-pressured workflows where cognitive bandwidth is scarce. Their long-term vision positions Granola as an intelligent, privacy-conscious 'jet pack for the mind'—scaling first into the U.S. while staying rooted in human-centered augmentation.