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My First Million

The Man Who Owns 1% Of ALL Bitcoin

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Shaan PurihostAnthony PomplianoguestSam Parrhost

Mar 27, 20241h 18mWatch on YouTube

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CHAPTERS

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Chapter summaries

Why Bitcoin surged: spot ETFs, fresh demand, and supply halving dynamics
The hosts open by reacting to Bitcoin’s rapid price rise and ask what’s driving it. Anthony Pompliano explains the basic supply/demand story, then points to spot ETF approval as a major catalyst that expanded access and accelerated inflows.
- •Anthony Pompliano says prices rise when more people want to buy than sell
- •He attributes the recent move largely to Bitcoin spot ETF approvals expanding access
- •He notes surprise at how quickly money flowed in and how fast Bitcoin hit new highs
- •Sam Parr jokes about noticing net worth changes without knowing why
Should you sell? Long-term Bitcoin thesis and the halving squeeze
Sam asks whether he should sell near all-time highs, and Pompliano pushes back. He lays out a long-term view of Bitcoin as scarce supply with growing institutional demand, then highlights the halving as a looming supply reduction.
- •Sam asks if he should sell Bitcoin and Ether as prices near highs
- •Anthony Pompliano says the long-term thesis is unchanged: scarce supply and growing demand
- •He says demand is increasingly driven by large institutions rather than small retail buyers
- •He explains the upcoming halving as a cut in daily new supply from 900 to 450 Bitcoin and ties it to supply/demand pressure
What Michael Saylor did: turning MicroStrategy into a Bitcoin treasury machine
The conversation shifts to Michael Saylor’s strategy and the mechanics behind it. Pompliano describes how MicroStrategy moved from holding cash to buying Bitcoin, then aggressively scaled the position via debt and equity issuance.
- •Shaan asks for an explain-it-like-I’m-five breakdown of Saylor’s bet and whether it’s genius or insane
- •Anthony Pompliano describes MicroStrategy’s cash position and the decision to buy Bitcoin as a long-term balance-sheet asset
- •He contrasts day-trading a corporate balance sheet with holding an asset believed to protect long-term purchasing power
- •He explains Saylor raised money through debt offerings and at times sold equity to buy more Bitcoin
- •Pompliano says MicroStrategy went from zero Bitcoin in mid-2020 to over 210,000 Bitcoin—more than 1% of the network
The hidden context: stagnant stock, cash dilemma, and why few copycats followed
Shaan argues Saylor’s move made more sense given MicroStrategy’s long period of flat stock performance and investor skepticism. Pompliano agrees and adds that it’s striking how few public companies have followed the playbook despite its apparent success.
- •Shaan says MicroStrategy’s stock was largely flat for years, creating pressure to do something with excess cash
- •He frames Saylor’s choices as dividend/buybacks versus a bold treasury strategy to change the stock narrative
- •Anthony Pompliano agrees and notes cash piling up often signals a lack of reinvestment options
- •Pompliano highlights the lack of “second MicroStrategy” as an omission worth paying attention to
- •They discuss Saylor’s control position and how convertible bonds work at a premium conversion price
From builder to allocator: product manager → people manager → money manager
The hosts zoom out into the skill transition from operator to capital allocator. They discuss why moving from building products to managing people to managing capital is rare, and how operating experience can change investor psychology.
- •Sam references CEOs evolving into capital allocators and says the transition is uncommon
- •Shaan frames the evolution as product manager to people manager to money manager
- •Shaan says builders can be more skeptical and less swayed by market mood swings when investing
- •Anthony Pompliano adds that modern winners need to be “ballplayers” who can do multiple roles
- •They connect Saylor’s move to savvy capital-markets usage
Pomp’s “weird” non-crypto bets: line striping, road infrastructure, and deal friction
Shaan asks Pompliano about his non-crypto interests and odd side-business theses. Pompliano explains how a story about self-driving cars struggling with faded lane paint led him to believe certain mundane infrastructure businesses could become more valuable, then describes how hard it can be to buy blue-collar businesses due to negotiation and knowledge gaps.
- •Pompliano says he’s pursued side businesses for years but didn’t talk about them publicly
- •He explains a thesis: as self-driving increases, governments may repaint roads more often, benefiting line striping companies
- •He proposes the idea of “smart cars on dumb roads” and making money by upgrading the ‘dumb roads’ side
- •He describes asymmetric information and cultural friction when tech buyers negotiate with small-business owners
- •He mentions other unsexy but mandated businesses like traffic cones and barricades rentals
The reality of small business ownership: scaling limits, incentives, and operations grind
Sam and Pompliano trade observations about how traditional small businesses actually run. They emphasize that many owners are content with strong cash flow, avoid scaling complexity, and operate with minimal process—plus the day-to-day grind is far from software’s ‘set it and forget it’ feel.
- •Sam describes how small-business owners in his family run without formal management systems
- •Pompliano says ambition can hurt companies when the business model doesn’t reward expansion
- •He gives an example of a retail business where one location generates most profit and expansion may reduce returns
- •Sam describes older-generation business habits and a lack of interest in “exits” beyond lifetime operation
- •Pompliano underscores small businesses’ role in jobs and GDP and shares anecdotes about hands-on operations
Investing lens: favor what won’t change, and pair durability with new tailwinds
Shaan shares a story about a veteran private equity investor advising “buy railroads” amid AI hype, framing change as an enemy of long-term compounding. The group ties this to investing in durable, unglamorous sectors that can still benefit from technology shifts without directly competing in them.
- •Shaan recounts an experienced investor recommending railroads instead of AI projects
- •He frames the idea: find what won’t change and what may be undervalued because it’s unfashionable
- •Shaan argues line striping is ‘AI-proof’ yet could benefit from self-driving adoption
- •They discuss the risk of competing directly with top talent in fast-changing tech fields
- •Pompliano invites line striping business owners to reach out, saying he can help scale nationally
Philip Anschutz as a playbook: old industries, new economics, and captured attention
Pompliano cites an episode of the Rainmakers podcast about Philip Anschutz to illustrate applying fresh ideas to overlooked assets. He highlights Anschutz turning movie theaters into an advertising business and explains how he borrowed that concept to sell ads during a conference.
- •Pompliano references Rainmakers and describes the career theme of finding misunderstood value
- •He recounts Anschutz buying assets for hidden angles (like oil under railroads)
- •He highlights the Regal Cinema insight: a captive audience before movies enabled selling ads
- •Pompliano applies the same logic to conference audiences by playing existing commercials for sponsors
- •Sam adds context on Anschutz’s breadth via AEG and other holdings and notes his low profile
Pomp’s List framework: 10X reputation vs 10X economic upside
The conversation moves into a recurring show segment about companies that could meaningfully change an employee’s financial trajectory. Pompliano proposes separating companies that mainly boost reputation from those that still have large economic upside for employees joining today.
- •Shaan explains the premise: choosing an employer as an ‘investment’ via equity compensation
- •Pompliano introduces three buckets, starting with “10X reputation”
- •He names OpenAI and Anduril as reputation multipliers with potential upside but challenging 10X-from-here math
- •They discuss how reputation tends to follow economic success rather than precede it
- •Shaan asks how Pompliano weighed brand/logo vs stock upside in his own career decisions
Inside Facebook-era hiring and learning: interviews, talent density, and growth education
Pompliano explains why he joined Facebook: to learn how world-class teams grow products, not primarily for money. Shaan shares his own Facebook interview experience and praises practical problem-solving interviews, while Pompliano adds what he learned from conducting many interviews himself.
- •Pompliano says he joined Facebook to learn from elite growth teams instead of going to business school
- •He describes buying a product management book en route and feeling imposter syndrome early on
- •He notes Facebook’s scale changes the ‘cachet’ over time as many employees pass through
- •Shaan recounts Facebook’s scenario-based interview style and says it was the best interview format he’d seen
- •Pompliano shares what strong candidates do in a “traffic down 50%” scenario interview, emphasizing communication first
Pomp’s List: Eight Sleep, Varda, Figure.ai, Traba, Placer.ai, Rainmaker, Galvanick
Pompliano runs through specific companies he thinks have strong upside or compelling missions, spanning consumer hardware, space manufacturing, robotics, staffing logistics, location analytics, weather tech, and infrastructure cybersecurity. The hosts probe confusing parts (especially the economics of space manufacturing) and react to the ambition and unusual founder traits.
- •Pompliano calls Eight Sleep a strong operator-led business combining hardware and software, with a mission around improving sleep
- •He describes Varda manufacturing in space in zero gravity and bringing products back to Earth; Shaan and Sam challenge how it could be cheaper
- •Pompliano highlights Figure.ai’s humanoid robotics push and the need to track robotics alongside demographics
- •He explains Traba as on-demand labor for light industrial sites and contrasts it with unreliable temp staffing
- •He says Placer.ai sells location analytics data and cites its announced $100M annual revenue; Sam asks about valuation
- •He mentions Rainmaker making it rain via cloud seeding drones and Galvanick protecting public infrastructure from cyber threats
Trade psychology and timing: Pomp’s Ethereum-to-Solana position and selling by cycle
Pompliano explains a Solana trade step-by-step, focusing on how he scaled into the position and added during drawdowns. He argues crypto selling decisions are often more about cycle timing than valuation, while Shaan challenges “vibes-based” theses and asks for a clearer rationale and exit plan.
- •Pompliano describes reallocating from Ethereum to Solana using staged buys rather than an all-at-once switch
- •He says he doubled down as the position moved in his favor, then added again after a significant drop when his thesis hadn’t changed
- •Shaan contrasts this with a friend’s ‘number go up’ reasoning and questions concentrated Solana exposure
- •Pompliano defends narrative/developer momentum as part of the market reality and notes smaller market caps can outperform
- •He says his selling framework is more time/cycle-based than price-target-based, unlike typical public-market trimming
Being early on Andrew Tate: releasing a “spicy” interview and lessons on virality
Shaan asks about Pompliano interviewing Andrew Tate before Tate became widely famous. Pompliano explains why he found Tate interesting, why he initially hesitated to release the episode, and what he learned about how Tate engineered virality and understood internet psychology.
- •Pompliano says he interviewed Tate after some prior interactions and curiosity about his worldview and persona
- •He says Tate made comments that initially seemed too inflammatory to release, so the interview was shelved
- •He later released it after culture shifted and similar ideas appeared elsewhere without the same backlash
- •Pompliano says Tate’s viral style wrapped kernels of truth in bombastic delivery designed to spread
- •They discuss the downside of becoming “the main character” and the tradeoff between success and privacy

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