500. AI Native VC, Achieving 50%+ Graduation from Seed to Series A, Why Access Is the Key to Success, and Why Network Driven Firms Can No Longer Compete (Ben Orthlieb)

What It Covers

Ben Orthlieb explains how Blue Moon achieves 48% seed-to-Series A graduation rates versus 14% market average through AI-native operations, automated sourcing of 12,000 companies yearly, and founder-focused selection criteria.

Key Questions Answered

• •Automated Sourcing Filter: Blue Moon screens 12,000 companies annually down to 500 using unsupervised machine learning trained on seed deals since 2008, evaluating founder teams across education, experience, and personality signals to predict seed-to-Series B success probability.
• •Three-Layer Selection Strategy: Combining AI founder filtering (24% graduation rate), co-investing with top 40-50 VCs (35% rate), and deep personal founder conversations produces 48% graduation rate compared to 14% market baseline through systematic advantage stacking.
• •Founder Psychology Over Business: Blue Moon conducts deeply personal conversations exploring founder motivations, childhood experiences, and irrational commitment drivers rather than business models, creating relationship depth that produces 97% win rates on desired deals with $250K checks.
• •Intelligence Platform Advantage: Custom-built system scrapes 120+ sources including podcasts and substacks, generates company analysis cards shared with founders pre-meeting, monitors 30,000 websites weekly for engagement signals, and scores every VC for co-investment quality assessment.