Courtney Reum on Venture Capital, AI Hype & Smart Wealth Building 📈 E163
Episode
23 min
Read time
2 min
Topics
Career Growth, Productivity, Personal Finance
AI-Generated Summary
Key Takeaways
- ✓Founder evaluation framework: Reum prioritizes self-awareness over bravado when assessing founders. He specifically looks for candidates who can articulate what they are not good at, then demonstrate they are actively hiring to fill those gaps — treating company-building like assembling a presidential cabinet rather than relying on a single high-energy, break-things personality.
- ✓AI company red flag: When a founder labels their startup an "AI company," Reum immediately tests whether they are actually a data company first. Many pitching companies lack meaningful proprietary data and have no clear methodology for using it — making the AI label a liability signal rather than a value signal during early-stage evaluation.
- ✓Outreach persistence strategy: Cold emails to VCs now exceed 100 per day at M13, making inbox-based outreach nearly ineffective. Reum recommends finding a mutual connection or using a novel, tangible contact method — his analog example: weekly FedEx deliveries that forced decision-makers to personally open mail until a meeting was granted.
- ✓Barbell wealth-building approach: For roughly 20 years, Reum and his brother held 90% of capital in illiquid private investments and 10% in liquid reserves — enough to rebuild if everything failed. This high-risk concentration strategy produced a 44% average annual IRR over 12 years, demonstrating the compounding power of asymmetric, long-horizon private market exposure.
- ✓Portfolio evolution at wealth inflection points: Reum is actively shifting from a 44% IRR target toward low-teens returns with lower risk, adding real estate through trusted partners rather than self-educating. He frames this as a deliberate recalibration — the risk tolerance required to build wealth differs from the risk tolerance needed to preserve and grow it.
What It Covers
Courtney Reum, co-founder of venture firm M13 and former Goldman Sachs banker, covers how he evaluates founders and deals, why most "AI companies" aren't actually AI companies, his 44% average annual IRR over 12 years, and how his investment strategy is shifting post-marriage toward diversification and capital preservation.
Key Questions Answered
- •Founder evaluation framework: Reum prioritizes self-awareness over bravado when assessing founders. He specifically looks for candidates who can articulate what they are not good at, then demonstrate they are actively hiring to fill those gaps — treating company-building like assembling a presidential cabinet rather than relying on a single high-energy, break-things personality.
- •AI company red flag: When a founder labels their startup an "AI company," Reum immediately tests whether they are actually a data company first. Many pitching companies lack meaningful proprietary data and have no clear methodology for using it — making the AI label a liability signal rather than a value signal during early-stage evaluation.
- •Outreach persistence strategy: Cold emails to VCs now exceed 100 per day at M13, making inbox-based outreach nearly ineffective. Reum recommends finding a mutual connection or using a novel, tangible contact method — his analog example: weekly FedEx deliveries that forced decision-makers to personally open mail until a meeting was granted.
- •Barbell wealth-building approach: For roughly 20 years, Reum and his brother held 90% of capital in illiquid private investments and 10% in liquid reserves — enough to rebuild if everything failed. This high-risk concentration strategy produced a 44% average annual IRR over 12 years, demonstrating the compounding power of asymmetric, long-horizon private market exposure.
- •Portfolio evolution at wealth inflection points: Reum is actively shifting from a 44% IRR target toward low-teens returns with lower risk, adding real estate through trusted partners rather than self-educating. He frames this as a deliberate recalibration — the risk tolerance required to build wealth differs from the risk tolerance needed to preserve and grow it.
Notable Moment
Reum revealed that M13 passed on a fantasy sports betting app as a firm, but he personally invested $100,000. Three years later, that position marked up 19x — a concrete example of how individual conviction can diverge productively from institutional consensus.
Episode Transcript
Ladies and gentlemen, welcome to a special edition of the Money Mondays podcast. We cover three core topics, how to make money, how to invest money, how to give it away to charity. As you guys know, this podcast is designed to be under forty minutes, around thirty four to thirty eight minutes for your listening pleasure because the average workout is forty five minutes, the average commute to work is forty five minutes. So we'll keep this episode short and sweet for you because we have what's called a 93% listen to rate. We stay top 50 podcasts in the world because of our listen to rate helps us on the charts and you help us on the charts. Liking, commenting, subscribing, and sharing. As we dive in, you gotta keep in mind, when you're listening to these podcasts, it's not just for you. You might hear from someone that can help someone that's your friend, family, or follower from your past, present, or future. This episode might help you six months from now, two years from now. You might be sitting there thinking, I should forward this episode to my friend because of the important person that's on this episode. So without further ado, Courtney Reum, give us a quick two minute bio so we can get straight to the money. Two minute bio. Let's see. Chicago born and raised, moved to New York when I was 18. I'm now a reformed Goldman Sachs investment banker. Originally cut my chops working on, consumer, acquisitions, things like Procter and Gamble Gillette's merger, helped take Under Armour public, was around all these brands and people that were really contagious that I'm sure we can get into. And it made me think if they can do it, I don't know if I can. So let's find out. So, now almost twenty years ago, left out with my younger brother. Carter, who's been my business partner for twenty years. We have been starting things since in the form of everything from a venture capital firm to a bunch of our, you know, own things as entrepreneurs, and now we kind of have a little little hybrid investor, entrepreneur. We have a family office, and then a venture firm called m thirteen. So m thirteen gets emails coming in, people pitching. They see you in an elevator. They're pitching in the elevator. Every way someone's trying to pitch you, what are the first few things do you immediately say no? Like, this is not something I wanna invest into. Well, I mean, from a thesis point of view, like everyone else, we're doing a lot of AI at the moment. So I think part of it's that, you know, we've changed our thesis a lot for m 13, meaning we did a lot of consumer, then we were around for the direct to consumer boom, then that became consumer technology. Now it kinda became general technology of which some has a consumer facing …
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