Episode Summary
Executive Summary: Patrick O’Shaughnessy interviews Matt Clifford, co-founder of Entrepreneur First, about “talent investing” — funding individuals before ideas or companies exist. Clifford argues ambition is culturally shaped, talent is globally distributed, and the next major institutions will help people find co-founders, ideas, and leverage in deep tech and globally dispersed hubs.
Main Topics: Talent investing model (Priority: 10/5): Entrepreneur First backs individuals pre-company, pairing them with co-founders and ideas before seed investing. Ambition as a historical force (Priority: 9/5): Clifford frames ambition as a search for leverage that shifts with each era’s dominant technology. How EF sources talent (Priority: 8/5): EF uses magnet effects, referrals, and large-scale scouting to find outlier individuals worldwide. Team formation and co-founder matching (Priority: 9/5): EF creates a bubble for rapid team formation, then tests teams by productivity and willingness to twist. Deep tech as the best fit (Priority: 8/5): He argues deep tech is ideal for talent investing because problems are clear, technical edge matters, and outcomes are measurable. Geography, cities, and global dispersion (Priority: 8/5): EF sees talent as globally distributed and believes cities and regional shifts will reshape startup ecosystems. VC incentives and pricing power (Priority: 7/5): Clifford criticizes conventional VC for speed, price, and fundraising incentives, and seeks durable management-company value.
Key Arguments: Ambition follows leverage; the best path changes by era and culture. Great founders are not mystical; they’re identifiable by skill, resilience, and ambition. EF should show opportunity, not persuade people to become entrepreneurs. Good teams are built by rapid iteration; bad teams should be broken fast. Deep tech suits pre-company investing because team quality predicts outcomes better. Cities concentrate talent, so startup opportunity will keep shifting geographically. VC price and speed matter; slow capital and oversized funds distort returns.
Data Points: Individuals funded yearly: 1,000 - EF plans to fund a thousand people around the world across Europe and Asia Companies created: 200 - EF has helped people start 200 companies Combined company value: $1.5 billion - Total value of EF-backed companies so far Program length: 3 months + 3 months - First three months form teams; second three months develop the business Co-founder breakup rate at EF: about 10% - Teams that make it past six months lose a co-founder at roughly 10% Typical seed-fund co-founder breakup rate: about 20% - Clifford says the average seed fund sees ~20% lose a co-founder before Series A EF ownership: 10% - EF ends up owning about 10% of each company that goes through the program Decision-making interactions: over 100 interactions - EF has more than 100 interactions with an individual before investment decision Grant size: about $10,000 - The three-month stipend/grant buys an option on later investment Share exercised: 40% to 50% - EF exercises its investment option in roughly half of cohorts Institutional follow-on rate: 60% to 70% - After EF, that share of teams raise seed from institutional investors within six months Average London follow-on raise: 1.4 million - Typical amount raised by a company coming out of EF London Acurix initial round: 275K - Acurix raised a small pre-seed round before later traction Acurix scale: 30% of UK doctors' practices - The company later reached 30% of UK doctors' practices Acurix current scale: 50% - Clifford says Acurix is now in 50% of UK doctors' practices Acurix patient outreach: over 8% of the UK population - The company has texted more than 8% of the UK population EF team size: about 100 people - EF employs around 100 people with $200 million under management EF under management: $200 million - Clifford cites EF’s current AUM in discussing scalability Singaporean-Iranian founder share: about 1 in 12 / nearly 1 in 10 - An unusually large share of Singapore founders are Iranian despite a tiny local population Iranian population in Singapore: less than 500 - Shows how dislocated talent clusters can be activated
Pivotal Quotes: "Ambition is probably the most underrated force in understanding how the world changes." — Matt Clifford: His framing of why talent and culture drive economic and technological change "The customer is the entrepreneur." — Matt Clifford: Why EF structures itself around founder experience rather than extractive economics "We want this to be a multi-decade thing that we want to be valuable, independent of me." — Matt Clifford: On building a durable management company rather than a personality-driven firm
Implications: The unresolved question is whether talent investing can scale without losing its quality edge; founders and investors should watch how EF preserves rigor as it expands globally.
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