TIP801: Value Investing Meets Venture Capital w/ Kyle Grieve
Episode
64 min
Read time
3 min
Topics
Productivity, Investing, Startups
AI-Generated Summary
Key Takeaways
- ✓Power Law Portfolio Reality: In a portfolio of roughly 40 investments, expect only 2–3 positions (5%) to generate the majority of returns. Horsley Bridge, a VC fund operating 1985–2014, derived 60% of returns from just 5% of deployed capital. This means the primary risk is not picking losers—it is selling future power-law winners too early, as Grieve experienced selling Micron at $53 before it reached $420.
- ✓De-risking Before Sizing Up: Size positions based on how much risk has been removed, not on narrative alone. Buffett waited until 2016 to buy Apple—40 years after its founding—once technology risk, product risk, and distribution risk had all been resolved, leaving only valuation and durability questions. Apply this by monitoring businesses on a watchlist until leverage, competition, or cash flow risks reach acceptable thresholds before committing significant capital.
- ✓Averaging Up on Compounders: When a business continues increasing earnings power, adding at higher absolute prices but lower valuation multiples is rational. If a stock bought at 15x earnings compounds at 26% annually for three years, a market selloff returning it to 12x earnings creates a cheaper entry than the original purchase. Anchoring to the initial purchase price—rather than current intrinsic value—causes investors to miss the most productive phase of a compounder's growth.
- ✓Kill Criteria with State and Date: Before entering a position, define specific KPIs the business must achieve by a set date. If the business meets them, consider adding; if it fails, exit. This framework, borrowed from Kleiner Perkins' "white hot risk" process, prevents holding deteriorating theses indefinitely. KP initially invested only $50,000 (1% of capital) in Tandem Computers, then scaled to $1,000,000 only after revenue validated the model.
- ✓Metcalfe's Law as a Screening Tool: Prioritize platform businesses where value scales with the square of users. A network of 10 users creates 45 possible connections versus 1 connection for 2 users. As users grow, fixed costs rise slower than revenue, expanding margins simultaneously. Businesses like Meta, Amazon, and Google exploited this dynamic. Identifying companies early in this scaling curve—before the market prices in network density—produces asymmetric return potential.
What It Covers
Kyle Grieve examines six venture capital frameworks—power law returns, Moore's Law, Metcalfe's Law, de-risking, long-horizon arbitrage, and MOIC—and translates them into actionable strategies for public equity investors. He draws on personal portfolio data showing two positions generating 45% of total returns across approximately 40 investments over six years.
Key Questions Answered
- •Power Law Portfolio Reality: In a portfolio of roughly 40 investments, expect only 2–3 positions (5%) to generate the majority of returns. Horsley Bridge, a VC fund operating 1985–2014, derived 60% of returns from just 5% of deployed capital. This means the primary risk is not picking losers—it is selling future power-law winners too early, as Grieve experienced selling Micron at $53 before it reached $420.
- •De-risking Before Sizing Up: Size positions based on how much risk has been removed, not on narrative alone. Buffett waited until 2016 to buy Apple—40 years after its founding—once technology risk, product risk, and distribution risk had all been resolved, leaving only valuation and durability questions. Apply this by monitoring businesses on a watchlist until leverage, competition, or cash flow risks reach acceptable thresholds before committing significant capital.
- •Averaging Up on Compounders: When a business continues increasing earnings power, adding at higher absolute prices but lower valuation multiples is rational. If a stock bought at 15x earnings compounds at 26% annually for three years, a market selloff returning it to 12x earnings creates a cheaper entry than the original purchase. Anchoring to the initial purchase price—rather than current intrinsic value—causes investors to miss the most productive phase of a compounder's growth.
- •Kill Criteria with State and Date: Before entering a position, define specific KPIs the business must achieve by a set date. If the business meets them, consider adding; if it fails, exit. This framework, borrowed from Kleiner Perkins' "white hot risk" process, prevents holding deteriorating theses indefinitely. KP initially invested only $50,000 (1% of capital) in Tandem Computers, then scaled to $1,000,000 only after revenue validated the model.
- •Metcalfe's Law as a Screening Tool: Prioritize platform businesses where value scales with the square of users. A network of 10 users creates 45 possible connections versus 1 connection for 2 users. As users grow, fixed costs rise slower than revenue, expanding margins simultaneously. Businesses like Meta, Amazon, and Google exploited this dynamic. Identifying companies early in this scaling curve—before the market prices in network density—produces asymmetric return potential.
- •Long-Horizon Arbitrage via MOIC: Measure investments using Multiple on Invested Capital rather than annualized returns alone. A 40x MOIC over 10 years equals a 45% CAGR; over 3 years, 240%. Build bear, base, and bull MOIC scenarios (e.g., 2x bear, 3x base, 10x bull) before entering. Grieve's two top positions carry MOICs of 5x and 4.5x respectively. Businesses earning returns above their cost of capital outperformed the S&P 500 from 2009–2018, averaging 15–17% annual returns regardless of revenue growth rate.
Notable Moment
Grieve reveals he sold Micron shares at $53 after holding for two years at a roughly 9% gain—only to watch the stock climb to $420. He calculates this single premature exit cost him a 9x return, illustrating how power-law thinking could have prevented one of his most expensive portfolio decisions.
Episode Transcript
You're listening to TIP. Let's imagine for a second that you made a 100 investments over your lifetime. Now imagine that only three of those investments generated more than half of your total returns. That might sound crazy at first, because most investors think about returns like a bell curve. We imagine a few winners, a few losers, and a large number of outcomes in between. But that's not really how investing works. In reality, investing tends to follow something called a power law in which a small number of outcomes drive the vast majority of results. And interestingly enough, there's one corner of the investing world that has developed a very deep insight into this dynamic: venture capital. Now if you're a value investor, venture capital might seem like the last place that you'd look for lessons on how to improve your investing. After all, venture capital firms primarily invest in early stage companies where most investments not only fail to make money but often go to zero. But when you look a little deeper, venture capital has developed some incredibly powerful frameworks for thinking about asymmetric returns, risk management, position sizing and long term decision making. And many of these frameworks translate surprisingly well to investors operating in public markets. Over the past few years, I found that some of the most valuable lessons that have improved my own investing have come directly from studying how venture capitalists think about their portfolios. Venture capitalists are forced to think differently simply because their investments are largely illiquid. They cannot easily just go and sell their positions and that constraint leads to a powerful realization. One great investment can carry an entire portfolio even when the majority of investments fall flat on their face. This way of thinking encourages investors to focus deeply on how businesses scale, how network effects can create extraordinary compounders, and how to add to winners rather than selling them too early. Venture capitalists also have fascinating frameworks around de risking investments, identifying capitalists also have fascinating frameworks around de risking investments, identifying key inflection points and investing with an extremely long time horizon. When you begin applying some of these ideas to public markets, you start to see investing in a completely different light. You'll even notice that many legendary public investors arrived at similar conclusions despite never describing their approach as venture style investing. In today's episode, we're going to explore several lessons from venture capital that long term investors can apply to their own portfolios. So if you're interested in improving your skills as a long time investor, just thinking more clearly about outsized winners, understanding asymmetric opportunities better, and improving portfolio construction, I think you're gonna find this episode especially valuable. So let's dive right into this week's episode on what investors can learn from the world of venture capital. Since 2014 and through more than 190,000,000 downloads, we break down the principles of value investing opportunities in the market and explore …
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