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Ben Lerer, Managing Companion and Founding father of Lerer Hippeau, has constructed one in all New York’s most influential early-stage enterprise corporations throughout 9 funds and practically $1.5B in AUM. On this VC version of the GTMnow podcast, Ben sits down with Max and Paul to unpack how he really picks founders, why he needs to be the “worst investor” at his personal fund, and the contrarian perception that backing good, wise companies is a mistake.
Ben acquired his begin in media, constructing Thrillist earlier than it merged into Group 9, then turned these relationships and that operator empathy right into a enterprise profession writing early checks into corporations like Warby Parker and Casper. He shares what’s modified about successful offers in a extra aggressive, sharp-elbowed market, how Lerer Hippeau runs its funding committee on conviction quite than consensus, and the method failure behind passing on Peloton.
We additionally get into the controversy each investor is wrestling with proper now: the loopy, fast-moving AI-native founder versus the second or third-time operator with deep area experience, and why the reply is never a silver bullet.
An actual venture-nerd dialog on agency constructing, IC decision-making, founder choice, and what it takes to chase the ability regulation.
Mentioned on this episode
- The “worst investor at my very own fund” philosophy
- Conviction vs. consensus within the funding committee
- Why Lerer Hippeau funds “loopy” founders, not good corporations
- The Peloton miss and what it revealed about course of
- From Thrillist and digital media to enterprise capital
- AI-native founders vs. area consultants
- The way to win aggressive offers as a smaller agency
Episode Highlights
0:00 – Intro
0:52 – Max and Paul on the episode: IC course of and founder choice
14:36 – Dialog with Ben Lerer begins
15:02 – 9 funds, $1.5B AUM, and the early-stage technique
23:00 – From Thrillist to enterprise: the media springboard
28:00 – What’s modified in selecting founders and successful offers
33:00 – How the funding committee grew and advanced
37:40 – The “magic” deal and chasing high-conviction bets
50:43 – Why Ben needs to be the worst investor at his fund
51:35 – Yankees or Mets?
53:00 – Funding loopy individuals, not good corporations
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Key takeaways
1. Goal to be the “worst investor” at your individual fund.
Ben argues that as a managing companion, his job is to rent individuals higher at investing than he’s, then construct the framework, capital, and area for them to win. If he’s nonetheless the rainmaking investor at 55, he says, the agency failed at constructing a workforce and a tradition that outlasts anybody particular person.
2. Fund loopy individuals, not good corporations.
Each greenback put into a smart, sturdy enterprise is a greenback taken away from an organization chasing the ability regulation. Lerer Hippeau intentionally filters for founders whose best-case state of affairs is a real multi-fund returner, not a secure enterprise play, as a result of something much less received’t transfer an early-stage fund’s returns.
3. Selections run on conviction, not consensus.
Offers don’t get performed by groupthread or a cushty vote within the center. Somebody has to pound the desk and drag the deal throughout the road, even when they sourced it or not, whereas the remainder of the workforce tries to speak them out of it. The exhausting, ongoing downside is creating an setting the place junior individuals really feel secure saying no to the managing companion.
4. Do your individual diligence on high-conviction offers.
Ben’s regrets come from handing offers off to extra junior workforce members, whose work then turns into too confirmatory as a result of they assume he needs the deal performed. With the “magic” funding, he made the shopper calls and character references himself, which is what acquired him to full conviction quite than studying another person’s notes.
5. There’s no silver bullet within the AI founder debate.
The market is bifurcating between the younger, naive, fast-moving AI-native founder and the second or third-time operator with actual area experience. Each can win: area experience issues extra because the tech layer commoditizes, however AI-native founders appeal to one of the best engineering expertise. The reality often sits within the center, utilized case by case.
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