Module XXIII·Article II·~5 min read
Power Law and Portfolio Strategy
Venture Capital
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Power Law in Venture Capital
Power Law (power law) is a fundamental characteristic of the distribution of returns in venture capital. Unlike public markets, where returns are distributed more or less normally, in VC a small number of investments generate the overwhelming majority of a fund's profits.
Mathematics of the Power Law
Typical Distribution in a VC Portfolio
| Category | % of Companies | % of Fund Returns | Typical Multiple |
|---|---|---|---|
| Total Losses | 30-40% | 0% (losses) | 0x |
| Partial Recovery | 20-30% | 5-10% | 0.5-1x |
| Moderate Winners | 20-25% | 15-25% | 2-5x |
| Big Winners | 8-12% | 30-40% | 10-30x |
| Outliers (Fund Makers) | 2-5% | 30-50% | 50-100x+ |
Example: $100M Fund with 25 Companies
- 10 companies (40%): Total loss → $0 return
- 6 companies (24%): 0.5x → $12M return
- 5 companies (20%): 3x → $60M return
- 3 companies (12%): 10x → $120M return
- 1 company (4%): 50x → $200M return
Total: $392M return on $100M invested = 3.9x gross MOIC
Important: One outlier (50x) generates 51% of all fund returns!
Implications of Power Law for Strategy
1. Importance of "Fund Returners"
A Fund Returner is a company whose exit returns the entire fund size. For a $100M fund with 20% ownership, this means an exit of the company at a $500M+ valuation.
| Fund Size | Target Ownership | Required Exit for Fund Return |
|---|---|---|
| $50M | 20% | $250M |
| $100M | 20% | $500M |
| $500M | 15% | $3.3B |
| $1B | 12% | $8.3B |
2. Swing for the Fences
In VC, you cannot play "safe" — the potential upside must be 50-100x+. If a company can grow at most 5x, it's not a venture investment.
- a16z rule: Every investment should potentially return the entire fund
- Sequoia approach: "We invest in companies that can be worth $10B+"
- Benchmark philosophy: Concentrated portfolio, only transformational companies
Portfolio Construction
Optimal Portfolio Size
| Strategy | Number of Companies | Rationale |
|---|---|---|
| Concentrated (Benchmark style) | 12-18 | Deep involvement, high conviction |
| Standard VC | 20-30 | Balance diversification and focus |
| High-volume Seed | 50-100 | Spray and pray, find outliers |
| Accelerators | 100-200+ | Portfolio approach, small checks |
Why is 20-30 companies optimal?
- Statistics: With a 30% success rate, you need 15-20 companies to get 1+ big winner
- Capacity: A partner can efficiently work with 8-12 companies
- Capital efficiency: Sufficient check size for meaningful ownership
- Follow-on reserves: Capital to support winners
Follow-on Reserve Strategy
Classic Reservation Model
| Allocation | % of Fund | Use |
|---|---|---|
| Initial investments | 50-60% | First checks in 20-30 companies |
| Follow-on reserves | 35-45% | Pro-rata and opportunistic in winners |
| Management fee reserve | 5-10% | Fund operations |
Follow-on logic
- Double down on winners: Increase position in growing companies
- Pro-rata rights: Right to participate in subsequent rounds
- Ownership maintenance: Avoid excessive dilution
- Signal value: Inside participation — positive signal for new investors
When NOT to do follow-on
- The company is growing, but not in the outlier category
- Valuation has become unreasonable (insider price vs market)
- Limited upside (5x max vs 50x needed)
- Fundamental concerns (team, market, competition)
Ownership Targets by Stage
| Stage | Target Ownership | Typical Check Size | Dilution at Exit |
|---|---|---|---|
| Pre-Seed | 10-15% | $250-500K | 2-4% at exit |
| Seed | 15-20% | $1-3M | 5-8% at exit |
| Series A | 15-25% | $5-15M | 8-15% at exit |
| Series B | 10-20% | $15-40M | 8-15% at exit |
| Growth | 5-15% | $50-150M | 5-12% at exit |
Dilution Path
A typical company goes through 4-6 rounds before exit, diluting founders and early investors by 15-25% each round:
- Seed investor with 20% → After Series A-D → 8-12% at exit
- Series A investor with 20% → After Series B-D → 12-16% at exit
Expected Return Distribution
Fund-level Expectations
| Scenario | Gross MOIC | Net MOIC | Net IRR | Probability |
|---|---|---|---|---|
| Outstanding (Top decile) | 5x+ | 4x+ | 30%+ | ~10% |
| Excellent (Top quartile) | 3-5x | 2.5-4x | 20-30% | ~15% |
| Good (Second quartile) | 2-3x | 1.5-2.5x | 12-20% | ~25% |
| Mediocre (Third quartile) | 1-2x | 1-1.5x | 0-12% | ~25% |
| Poor (Bottom quartile) | Negative | ~25% |
Persistence in VC Returns
Unlike public markets, VC shows persistence — top managers continue to show top performance:
- Top quartile GP: 45%+ chance to stay in top quartile in the next fund
- Bottom quartile GP: 40%+ chance to stay in bottom quartile
Reasons: Network effects, deal flow quality, brand value, learning
Fund Size Implications
Small Funds ($50-200M)
Advantages:
- Agility
- Seed/A focus
- Easier to return
Disadvantages:
- Limited follow-on capacity
- Resource constraints
Target exits: $200M-1B
Mid-Size Funds ($200-500M)
Advantages:
- Balanced approach
- Meaningful ownership
Disadvantages:
- Competition with larger funds at later stages
Target exits: $500M-3B
Large Funds ($500M-2B)
Advantages:
- Resources
- Platform services
- Multi-stage
Disadvantages:
- Harder to return fund
- Ownership challenges
Target exits: $3B+ (unicorn+ required)
Mega Funds ($2B+)
Advantages:
- Access to largest deals
- Strategic value
Disadvantages:
- Returns historically challenged
- Few $20B+ exits
Target exits: $10B+ (decacorns, must fund multiple)
Recommendations for Portfolio Strategy
- Accept failure rate: 50%+ losses are normal, not a problem
- Hunt for outliers: Every investment should have the potential to be a fund returner
- Reserve capital: 40%+ of fund for follow-on in winners
- Ownership matters: Small ownership in a large exit = disappointing
- Fund size discipline: Bigger isn't always better
- Patience: Power law manifests around years 7-10 of the fund
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