21:01 1. Give every holding a five-year expected return and a hurdle
The repeatable method
- Estimate compounded EPS growth for five years (earnings, not revenue, if heavy investment will be amortized).
- Pick a defensible exit P/E for the business quality.
- Solve the implied annual return from today's price; also solve the price that would deliver your hurdle (here 15%).
- Aim for "accurate, not conservative or aggressive" inputs; treat the output as directional.
Here: META 13% × 24× → 18.14%, 15% entry at $677; GOOGL 15% × 25× → 9.6%; COST 12% × 33× → 5.47%.
Watch for
- Multiples assumed above the business's history without a reason; inputs drifting toward whatever justifies holding.
1:11:24 2. Steer new money by expected return; don't churn the book
The repeatable method
- Rank all holdings by expected return.
- Direct fresh cash to the top names; let below-hurdle names become holds.
- Trim only when a great company's price far exceeds your fair value, and keep a foot in the door.
- Respect friction, taxes, concentration and risk-factor overlap before any sale.
Here: New buys go to META/UBER/NFLX; COST and TXRH are held without adds; ASML is the only trim (20%, fair value ~$1,300–1,400 vs ~$2,000).
Watch for
- A holding's return falling below ~10% even for top quality; one name growing into an outsized weight.
1:12:14 3. Run a clean-slate allocation to test your conviction
The repeatable method
- Pretend you own nothing and have a fixed sum.
- Weight toward the highest expected returns but diversify across the next tier rather than going all-in.
- Compute the weighted expected return and compare it with your actual portfolio's mix.
Here: $10k: META 30%, UBER 20%, NFLX 15%, MA 12.5%, AMZN 10%, SPGI 7.5%, MSFT 5% → 15.95% weighted; GOOGL, his largest actual position, gets nothing.
Watch for
- Big gaps between the clean-slate weights and actual weights — candidates for where new money goes next.
8:37 4. Map each holding onto the phases of a technology cycle
The repeatable method
- Define the phases: build (suppliers), monetization (buyers turn it into revenue), distribution, commoditization, durable ownership of the customer.
- Label each holding by the phase in which it earns the most.
- Be early for the later phases (markets price them ahead) and be most careful holding build-phase suppliers into commoditization.
Here: Build-phase NVDA/memory/power won 2023–26; he tilts to GOOGL, AMZN, META, NFLX, UBER as aggregators that own demand into 2028–32.
Watch for
- Supplier pricing power fading as capacity catches up; hyperscaler AI revenue showing up in reported segments (e.g. Azure now disclosed).
56:51 5. Compare competitors' strategies for the same threat — aggregate vs build
The repeatable method
- For a disruptive technology, list what each incumbent is doing: partnering/aggregating or building in-house.
- Weigh the aggregator's capital-light reach against the builder's control and cost.
- Look for real deployments ("wheels on the ground"), not partnership announcements.
Here: UBER aggregates (Wayve in London, 2,000+ European robotaxis, Zipline drones); DASH builds (Part 135 drones, Dot robots in a high single digit % of test-market orders). He owns both, prefers Uber on price.
Watch for
- Deployed vehicle/drone counts and share of orders automated, per quarter.
The repeatable method
- Report all-in gains including every sale at a loss and dividends, not just current holdings.
- Use time-weighted return so deposit timing doesn't flatter or punish results.
- Judge underperformance years against a realistic win rate; check whether holdings' fundamentals (revenue growth) are still compounding.
Here: $528k gains, 200% time-weighted; flat YTD vs S&P +12%; Berkshire beat the index in only ~66% of years; holdings still growing revenue ~16%.
Watch for
- Fundamentals, not just price, lagging for a sustained period.
Methods distilled from the login-gated Qualtrim Studio video for personal study. Not investment advice.