Video summary

Dan Tapiero: This Crypto Strategy is Boring, But It Will Make You Rich | E175

Main summary

Key takeaways

Finance

Core Thesis / Macro Framing

Dan Tapiero argues that the digital asset ecosystem could expand from roughly $300B (mid-2019) to about $50T over the next ~10 years (including Bitcoin, ETH, alts, and crypto blockchain-related equities).

He also believes value/money increasingly goes “on-chain” over time, driven by:

  • Bitcoin infrastructure
  • AI agent + blockchain
    • “Blockchain is the money of the autonomous AI agent”
  • RWA / tokenization (Real-World Assets as a major theme)
  • Stablecoin growth as an adoption catalyst

Investment Style / Strategy (Equity-First, “Boring,” Revenue-Backed)

He emphasizes operating businesses rather than pure token speculation:

  • “Equity only” / invest in real companies, not “token bets”
  • Avoid venture-style bets where outcomes can plausibly go to zero
  • After failures, he stresses accountability and team responsibility
    • He notes that after two companies went to zero, he removed team members responsible

Deal Selection Framework (Step-by-Step)

  1. Focus on growth-stage crypto/blockchain/web3 operating companies
    • Not VC-style seed/high-odds failure bets
    • Not direct exposure to tokens for the core strategy
  2. Prefer companies around ~$40M–$50M revenue
  3. Valuation target: buy at ~5x–10x revenue (some flexibility)
  4. Return target: model ~5x–8x returns over a 10-year fund life
  5. Revenue → equity value accrual requirement
    • He wants rights architecture/governance that plausibly funnels value to equity
  6. Token uncertainty acknowledgment (value-capture ambiguity)
    • Some token-based protocols are real businesses, but there’s uncertainty about whether revenue truly accrues to token holders
    • Example theme: governance/value-revenue uncertainty
  7. Bottom-up diligence is critical
    • Macro thesis alone is insufficient
  8. Risk control: avoid accepting “zeros” as acceptable outcomes

Portfolio / Fund Facts & Performance Metrics

“50T Funds” Facts

  • 22 investments
  • 6 realizations last year
  • Fund term: 10-year life

Examples referenced include Circle, Coinbase (via an acquisition discussion), Figure, eToro, and Cipher (owned by Bitfury). The transcript also mentions Gemini and weaker IPO market performance.

Fund Performance Numbers (Specific Claims)

  • Fund 4 (closed Nov 2024)
    • +300% gross “within a year”
    • In first 16 months: ~30% of committed capital returned
    • ~8.5 years left
  • Funds 1 & 2: ~40% of committed capital returned
  • Fund 3 (raised at peak): ~20% of committed capital returned
    • Lagged due to exposure to a blockchain gaming / metaverse / NFT bucket

He also uses DPI (distributed to paid-in) as a key performance framing metric.


Investment Examples & What He Learned (Uncertainty as Alpha)

Deribit (“Darabbit”) Example

  • Entry: around 2021 at a little over $1B valuation
  • Claimed early concerns:
    • KYC/AML issues
    • Historical operating location: Panama, later moved to Dubai to reduce investor fears
  • Operational metrics cited later:
    • ~80% global options volume on Bitcoin and ETH options
    • ~$200M net profit (timing framed as “at the time”)
  • Purchase multiple: ~5x–6x net profit
  • Outcome:
    • Acquired by Coinbase
    • Founders became “billionaires” after selling

Lesson: perceived legal/geographic uncertainty can suppress valuation even when fundamentals are strong.


Macro / Market Behavior & Caution

  • Markets “do the unexpected”
  • Example used: “Gold never does what you expect it will do.”
  • Conviction vs uncertainty rule
    • Conviction alone isn’t enough—you must identify where you could be wrong
    • Uncertainty is required for there to be tradable opportunity

Bitcoin Outlook (Maximalist View)

Dan Tapiero is a Bitcoin maximalist and treats Bitcoin as the core asset (a “gold analogy”). He suggests he is not actively staking/using Bitcoin.

Price Path Logic / Timeline

He previously discussed $100,000 and refers to a “distribution” phase where early holders take profits.

He also outlines possible outcomes:

  • $200K–$500K
  • $1M as a potential end state

At $1M, he frames Bitcoin as roughly a ~2% share of total global assets:

  • Global total assets cited: ~$1,000T
  • Gold cited: ~$40T
  • Implied “ownership share” logic → “~2%” → “~$1M/BTC”

Positioning / Holding Recommendation

  • Emphasizes long-duration holding:
    • “If you just own Bitcoin and hold for 10 years…”
  • Warns it’s emotionally hard because people want certainty and quick gratification.

Ethereum & Solana (Broad Valuation Ranges)

When asked about ETH and Solana, he gave ranges:

  • ETH
    • Could do 5x–10x
    • Possibly up to 20x in a hypothetical “alt universe”
    • Historical context:
      • ETH around $100 in 2019 (he references firsthand experience around ~$183)
      • ETH went below $100 in 2020
    • Notes that 20x is rare in traditional markets; crypto holders often complain too early
  • Solana
    • “Could Solana be at a thousand? Sure.”

Raising Capital Strategy (Bear vs Bull Markets)

  • Theoretically best time to raise: a bear phase
  • Practically: “nearly impossible”
  • Their approach:
    • Fundraising happens in bull
    • Then disciplined investing continues in bear, using pre-raised capital

Valuation / Deal Pricing Guardrails (Growth Stage)

  • Preference remains ~5x–10x revenue
  • Strategic investors (examples: PayPal, Binance) may pay higher multiples, which can keep growth valuations elevated
  • He implies a discipline approach to avoid “overpaying” to maintain return potential

Disclosures / Sponsorship

The transcript includes multiple integration/sponsor shoutouts (e.g., Treasure, Bitwise). These are framed as commercial disclosures rather than investment claims.

No explicit “not financial advice” line was present in the provided subtitles/summary text.


Tickers / Assets / Instruments Mentioned

Crypto assets

  • Bitcoin (BTC)
  • ETH (Ethereum)
  • Solana (SOL)

Crypto / DeFi protocols & products

  • Uniswap
  • Jupiter
  • Stablecoins

Companies (equity / corporate entities)

  • Coinbase
  • Circle
  • Deribit / “Darabbit
  • Kraken
  • Ledger
  • Gemini
  • eToro
  • Bitfury / Cipher
  • Figure

Other macro/commodity mentions

  • Gold

Macro instruments (examples mentioned)

  • Interest rate swaption portfolio
  • Options on swap rates (across Germany, France, Italy, Spain)

Explicit Frameworks / Methodologies Called Out

Equity-First Investment Framework

  • Identify crypto/blockchain operating businesses
  • Require revenue visibility
  • Target ~5x–10x revenue entry valuation
  • Model ~5x–8x returns over 10 years
  • Ensure expected revenue accrues to equity (not token-holder capture uncertainty)
  • Use deep, bottom-up diligence
  • Enforce strict risk/accountability; avoid “zero” outcomes when possible

Token vs Equity Value-Accrual Framework

  • Token upside can exist
  • But he flags uncertainty about whether revenue flows to token value, due to:
    • governance
    • value-capture mechanics
    • revenue-to-token alignment ambiguity

Macro Uncertainty Principle

  • “If there’s no uncertainty, you’re not making money”
  • Conviction must still survive volatility; markets often create pain/distribution.

Key Numbers Explicitly Mentioned (Selection)

Macro / market size & adoption

  • Digital asset ecosystem: ~$300B (mid-2019) → ~ $50T (~10 years)
  • Stablecoins: $33T traded (last year referenced); 99% dollar-based
  • Old-world currency volume: ~$7T/day (context for stablecoin growth)
  • Global assets total: ~$1,000T
  • Gold: ~$40T
  • Bitcoin “end state” logic: ~2% of global assets → “~$1M/BTC

Investing targets

  • Revenue target: ~$40M–$50M
  • Entry valuation: ~5x–10x revenue
  • Return target: ~5x–8x
  • Horizon: 10-year holding / fund life

Fund performance claims

  • Fund 4 (closed Nov 2024): +300% gross within a year
  • First 16 months: ~30% of committed capital returned
  • Funds 1 & 2: ~40% of committed capital returned
  • Fund 3: ~20% of committed capital returned (raised at peak; lagged due to gaming/metaverse/NFT exposure)

Deribit example metrics

  • Entry valuation: ~$1B+ (2021)
  • Profit: ~$200M net profit (timing “at the time”)
  • Multiple: ~5x–6x net profit
  • Acquisition: Coinbase
  • Market share claim: ~80% options volume (Bitcoin/ETH options)

Presenters / Sources Mentioned

  • Dan Tapiero — founder of 50T Funds
  • Other individuals referenced (contextually): Steve Cohen, Julian Robertson, Stanley Druckenmiller, Michael Steinhardt, Bill Gates, Raul Pal, Michael Novogratz, Larry Fink, Arjun (Kraken CEO referenced), Paul Tudor Jones (via book reference), plus JP Morgan as an example
  • Institutions/companies referenced: CoinDesk, Bitwise Asset Management, Treasure

Original video