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Colossus (Invest Like the Best / Business Breakdowns)Podcast12 Jul 2022Source: joincolossus.comHost: Patrick O'Shaughnessy

Alice Bentinck - Building a Start-Up Machine - [Invest Like the Best, EP.285]

In plain words

This episode covers Entrepreneur First (EF), which systematically matches strangers into startup co-founders. Founder Alice Bentinck argues that team breakups, not bad ideas, cause most failures. EF runs an 8-week bootcamp where candidates rapidly test partnerships and openly 'break up' to find the best fit. She sees opportunity outside the US, where seed valuations are 1/3 to 1/2 of US levels (e.g., $10-15M vs $30-40M). Key holdings: MetaVoice (real-time voice NFTs, formed by alumni from different cohorts) is a success case; EF's overall portfolio (600+ companies, $8.5B valuation) is highlighted; US seed-stage companies are flagged as overvalued.

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Alice Bentinck, on the podcast Invest Like the Best, shared the operating model of Entrepreneur First (EF), the company she co-founded. EF systematically invests in talent before they have even formed a company, helping them find co-founders, develop ideas, and scale. The core thesis is that EF scre

~11 min full read · 8 sections
Deep Analysis

At a Glance

Alice Bentinck is the co-founder of Entrepreneur First (EF), a firm that invests in talent before they have even formed a company. This issue explores how EF uses a systematic process to turn strangers into co-founders and scale company creation. Alice Bentinck’s core judgment is that the breakdown of co-founder relationships is the primary cause of team failure, not the idea itself; EF uses an 8-week high-pressure environment to force candidates to quickly test and iterate, normalizing "breakups" to filter out the optimal combinations.


Theme 1: EF’s Positioning — Investing in “People” Rather Than “Ideas”

Alice Bentinck believes the global founder supply is constrained by two major factors: insufficient network density and the “ambition trap.” EF addresses this by investing in the “pre-team, pre-idea” stage.

  • Mechanism Breakdown: EF operates across six cities (London, Paris, Berlin, Singapore, Bangalore, and Toronto), recruiting 50–80 people per cohort. Candidates must commit full-time for eight weeks, during which they search for co-founders. Approximately 80% find a partner, and about half of those receive EF investment through the investment committee. They then spend another three months helping the teams secure seed funding.
  • Data Chain: EF has been operating for 10 years, supporting over 3,000 founders, with a portfolio of more than 600 companies and a total valuation of approximately $8.5 billion. It manages around $350 million in capital. The latest round of $150 million was booked directly onto the company’s balance sheet, rather than through a fund structure.
  • Extrapolation: EF aims to become the default platform for “co-founder matching,” analogous to how online dating evolved from a fringe activity in 1995 to a mainstream approach in 2022. Alice believes that in the future, founders will proactively choose EF rather than relying on referrals from acquaintances.

Theme 2: Screening Mechanism — High Personal Exceptionalism and Deep Obsession

Alice Bentinck emphasizes that the core signal in EF’s screening is “high personal exceptionalism”—candidates firmly believe their probability of success differs from that of their peers. This is distinct from arrogance or overconfidence, and coexists with a high-growth mindset and coachability.

  • Historical Context: EF has processed approximately 35,000 applications, accumulating 10 years of data to validate screening signals.
  • Mechanism Breakdown:
  • Negative Screening: The most effective question is, “What would you do if you were not accepted into EF?” Candidates who list a large number of “culturally approved” alternative paths (e.g., banking, consulting) tend to underperform. A “burn the boats” mindset is key.
  • Positive Signal: Candidates must be able to clearly cite 2–3 specific examples of “things they do better than their peers.” Those who cannot answer or provide only one example are typically not the best candidates.
  • Avoided Metrics: EF no longer uses “determination” as a screening criterion, because determination in different contexts (e.g., “climbing Mount Kilimanjaro” vs. “escaping a war zone”) cannot be fairly compared. Instead, it uses “achievement drive”—whether the candidate actively makes things happen.
  • Inference: EF collects approximately 200 data points on each candidate before making an investment, starting from the application stage and continuing throughout the entire 14-week process. The investment decision is a “confirmation of known information,” rather than an independent judgment based on one or two meetings.

Theme 3: Team Building — Productivity as the Team’s “Traction Force”

Alice Bentinck argues that the only clear reason for team failure is a lack of productivity, not a lack of ideas or personality conflicts. EF’s internal mantra is that “productivity is the team’s traction force.”

  • Mechanism Breakdown:
  • 8-week high-pressure process: Candidates must join their first team within 5 days, typically experiencing 2–3 “breakup-reorganization” cycles. Alice emphasizes: “You only know whether you have a good team or a good idea if you test it; otherwise, it’s just guesswork.”
  • The “Conversation Loop” trap: Candidates easily fall into pleasant chats, but this is just making friends, not finding a co-founder. A co-founder is “the most expensive decision of your life” (since you give away half your company), and must be treated like a hiring process.
  • Social norms: EF teaches how to have “difficult conversations” with co-founders at the start of each cohort. Team breakups are publicly celebrated (e.g., posting recommendations for former partners on Slack) to reduce the social cost of splitting.
  • Data support: Even during remote operations amid the pandemic, EF maintained that approximately 80% of candidates completed the 8 weeks and entered a co-founder team. The remaining 20% left, but Alice views this as a “clarifying experience” — some discover that entrepreneurship is not for them.
  • Inference: High-productivity teams can find an initial idea direction within 24–36 hours; low-productivity teams, even with a “perfect match,” cannot move quickly. EF predicts success or failure by observing the speed of team decision-making and hypothesis validation.

Theme 4: Ideas Are the Product of Co-Founder Relationships

Alice Bentinck challenges the conventional notion of "finding an idea first, then building a team," arguing that the best ideas emerge from the "combinatorial innovation" of co-founders' backgrounds and skill sets. She cites EF's EDGE framework: candidates must identify their personal competitive advantages (technical, market, behavioral, etc.) and then cross-match with partners.

  • Mechanism Breakdown:
  • Combinatorial Innovation: When two open-minded individuals ask each other, "How can we collaborate?" the resulting ideas far exceed what either could conceive alone. Alice states: "An idea is the product of two people's backgrounds, experiences, and skills meeting."
  • Equity Allocation: EF strongly recommends that all teams adopt a 50/50 equity split, unless there are extremely exceptional reasons. Alice uses her own example with Matt Clifford: Matt started EF a month earlier than she did. Had they accepted an unequal split at the time, it would have become a "real thorn" 10 years later. Core principle: Equity should look forward, not backward. If you are unwilling to give your partner 50%, should that person even be a co-founder? Perhaps they should be the first employee.
  • Implications: EF is testing a new product, Reform, aimed at alumni (those with prior entrepreneurial experience), helping them rematch with co-founders in a shorter format. For example, a company called MetaVoice (real-time on-chain voice NFTs) was formed through Reform by combining two alumni from different cohorts with one who had left 5–6 years ago.

Theme 5: Valuation Disparities and International Expansion Opportunities

Alice Bentinck points out that seed-stage valuations in EF's cities are only one-third to one-half of those in the US at the same stage, offering US investors significant arbitrage opportunities. She believes the post-COVID trend of remote work has made international investing feasible.

  • Data Comparison:
Stage US (75th Percentile) EF Cities
Pre-seed $15 million (post-money) $5 million
Seed $30-40 million $10-15 million
  • Mechanism Breakdown:
  • Talent Advantage: The talent war in the US, especially in the Bay Area, is extremely intense, with high salary and retention costs. Talent in EF's cities is cheaper and more stable.
  • Capital Efficiency: By directing capital internationally, US investors can secure more reasonable valuations and longer runways.
  • Signaling Value: Bringing in US funds early helps with subsequent Series A rounds while introducing "Silicon Valley thinking"—which Alice considers a key factor in Y Combinator's success.
  • Inference: EF is exploring new markets, including Latin America (Colombia, Brazil, Argentina) and Africa (Nairobi, Cape Town). However, the expansion strategy is "test first, then open a location"—validating demand through short-term EF programs rather than expanding blindly. Alice emphasizes: "EF is an operating company, not a software product; scaling is difficult."

Mentioned Positions

Position Guest Sentiment Key Data
MetaVoice Bullish (as a success case of the Reform product) Real-time on-chain voice NFT, composed of alumni from different cohorts
EF Portfolio Overall Bullish (as a platform achievement) 600+ companies, total valuation of $8.5 billion, 3,000+ founders
U.S. Seed-Stage Companies Risk Warning (overvalued) Pre-seed $15 million vs. EF cities $5 million
Companies in EF's City Locations Bullish (reasonable valuation, talent advantage) Seed round $10-15 million vs. U.S. $30-40 million

Judgments Worth Remembering

1. “Productivity is the team’s driving force”——Alice Bentinck: The only clear reason for team failure is a lack of productivity, not ideas or personality clashes. High-productivity teams find an initial direction within 24-36 hours; low-productivity teams cannot move forward even with a “perfect match.”

2. “Your best friend is not your best co-founder”——Alice Bentinck: Partnerships with acquaintances often come with “baggage” (e.g., difficulty breaking up, non-complementary skills, mismatched timing). EF uses an 8-week high-pressure environment to force candidates to treat co-founder selection like a hiring process.

3. “Ideas are a product of the co-founder relationship, not the starting point”——Alice Bentinck: EF’s EDGE framework requires candidates to clarify their personal competitive advantages, then engage in “combinatorial innovation” with their partner. Ideas conceived alone are limited by individual cognitive boundaries, while those generated through cross-pollination between two people are more explosive.

4. “Equity should look forward, not backward”——Alice Bentinck: EF strongly recommends a 50/50 split, even if one party has already invested weeks of work. Alice uses her own example with Matt to illustrate: if unequal distribution is accepted, it becomes a “real thorn” 10 years later. The core question: if you are unwilling to give your partner 50%, should that person be your co-founder?

5. “Seed round valuations in EF’s cities are only one-third of those in the US”——Alice Bentinck: Pre-seed in the US is $15 million (75th percentile) vs. $5 million in EF cities; seed round is $30-40 million vs. $10-15 million. This offers US investors significant arbitrage opportunities, while international talent is cheaper and more stable.

6. “EF’s biggest competitor is the status quo”——Alice Bentinck: Candidates spend 25 years being educated on “how life should be,” and EF suddenly tells them “your job doesn’t matter, being an employee is terrible”—this is an extremely difficult mindset shift. London is changing, but most people remain “default employees.”

7. “Breakups should be publicly celebrated”——Alice Bentinck: EF encourages candidates to post on Slack recommending their former partners (“Why Patrick is great, but we weren’t a fit”) and covers them with emojis. This reduces the social cost of breakups and accelerates team restructuring.

8. “EF is a company, not a fund”——Alice Bentinck: The latest $150 million funding round is recorded on the balance sheet rather than in a fund structure, allowing EF the flexibility to decide whether to allocate capital to investments, product development, or new experiments. Fund structures are too rigid (requiring operational expenses and locations to be committed 3-4 years in advance).