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TIP801: Value Investing Meets Venture Capital w/ Kyle Grieve

64 min episode · 3 min read

Episode

64 min

Read time

3 min

Topics

Investing, Fundraising & VC

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.

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