We call this the Outlier Quotient: our framework for identifying and backing founders from unusual backgrounds who are rarely the obvious bet, but often the best one.
The industry has spent decades training itself to look for a certain kind of founder: typically ex-FAANG or Oxbridge/Ivy League-educated. The result is a self-reinforcing system that consistently misses the most interesting builders.
At Episode 1, we believe the next generation of category-defining AI companies will be built by non-consensus founders who don't fit that template. We've structured our entire fund model around finding them first.
What we look for
Many of the greatest founders we've met experienced various forms of hardship growing up. Moving around frequently, migrating to different countries or struggling to make ends meet all serve as enormous drivers of motivation and ambition.
Non-linear professional journeys are a strong signal we look for. Unusual career or geographical pivots, self-taught technical skills or incoherent educational journeys, when underpinned by razor-sharp intellect, are a great barometer for an outlier founder.
Building a breakout company requires incomprehensible amounts of obsession and focus. These individuals often present as highly quirky, energetic and neurodivergent. In traditional corporate settings they feel misunderstood. As founders, quirkiness becomes a huge advantage.
of our portfolio founders would not have been found through conventional VC sourcing methods
higher Series-A conversion rate among Outlier Quotient founders vs. the industry average
companies backed across our fund and angel portfolio, many from backgrounds most VCs would have passed on
“I’ve become adept at making my career path seem conventional: masking my road blocks, detours and diversions. What struck me about the E1 team was that they believed in me, not in spite of my eccentricities, but because of them. They appraised me not on a litany of accomplishments, but for the sheer grit and obsessive determination in between the milestones. They saw the strengths other had taught me to hide.”
We back unusual founders at pre-seed and seed across the AI stack. If your path doesn't fit the mould, send us your deck.
