Pat Grady - Relentless Application of Force - [Invest Like the Best, EP.378]

Episode Summary

Executive Summary: Patrick O'Shaughnessy interviews Sequoia growth investor Pat Grady on Sequoia’s culture, investing philosophy, and AI. Grady argues great investing hinges on people, market timing, clarity, and relentless force—especially in identifying founders, markets, and compounding advantages.

Main Topics: Sequoia's culture of stewardship and pressure (Priority: 5/5): Internal pressure comes from stewardship, flat power dynamics, and a refusal to become complacent. Learning to evaluate people, not just businesses (Priority: 5/5): Grady says founder quality is harder to assess than financials, so he digs into character and history. How Sequoia wins competitive deals (Priority: 4/5): Winning comes from authentic founder understanding, not bragging about Sequoia's brand or resources. Growth-stage criteria and fat-tail upside (Priority: 5/5): Sequoia underwrites only to companies with real shot at 10x+ outcomes, not modest 2x-3x returns. AI as a platform shift (Priority: 5/5): He frames AI as the next major shift after cloud/mobile, accelerated by ChatGPT and prior data investments. Platform building inside Sequoia (Priority: 4/5): A large operator platform amplifies investors and creates compounding data and workflow advantages. Legendary companies and relentless force (Priority: 4/5): The defining trait of enduring companies is relentless application of force driven by deep motivation.

Key Arguments: Stewardship drives Sequoia: Don Valentine handed over the firm without a buyout. Pressure is self-imposed; Sequoia flattens hierarchy with anonymous votes and late-speaking seniors. Founder quality matters more than models; markets can be read, people must be understood. Best investors combine understanding people with sensing where the world is going. Sequoia seeks leptocritic returns: if it can't see a 10x+, it likely isn't good enough. Emerging market leader means tomorrow's #1, not today's incumbent. Unique and compelling value prop should show up in gross and operating margins. Sustainable advantage is team DNA, not just a static moat. AI value exists even if model progress froze today; current capabilities already matter enormously. Sequoia's platform grew from 14 investors and 2 operators to 27 investors and ~65 operators.

Data Points: Sequoia investment team size (then): 14 - Team size when Grady joined Front-office operators (then): 2 - One in talent, one in marketing when Grady joined Sequoia investment team size (today): 27 - Current investment team size mentioned Front-office operators (today): about 65 - Current platform/operator headcount mentioned Year Grady joined Sequoia: 2007 - He joined at age 24 Age at joining: 24 - Youngest person Sequoia had hired at the time Airbnb seed investment timing: 2009 - Sequoia got into Airbnb at seed stage Airbnb second memo timing: 2012 - Memo argued it could be a $100 billion company Okta TAM report: $150 million - Forrester's cloud identity TAM report around 2017 IPO Okta revenue at that time: a little more than $150 million - Used to illustrate static TAM underestimation Zoom revenue at investment: close to 100 million in revenue - Grady says it was probably 85-90 million Zoom gross margin: 80 percent plus - At Sequoia's investment scale Snowflake ARR at investment: just shy of 50 million - Initial investment timing Snowflake follow-on investment: $200 million - Second investment came a couple months later Snowflake follow-on trigger: six months later - Bad news in portfolio review led to follow-on analysis Growth team values: 4 - Aggressive but humble; demanding and supportive; high gibberish at zero volt; strong under scrutiny Family values: 4 - Work hard, be kind, think for yourself, family first Platform data size: a couple hundred thousand people - Talent signals database Sequoia built 2010 Klarna diligence trip: April of 2010 - Moritz lesson about engineering team and net income Klarna scale goal: a few hundred million of net income - Moritz's framing of the key question ChatGPT launch timing: the fall of 2022 - Described as the generation's Netscape moment Stable Diffusion timing: summer of 2022 - Shifted AI attention from researchers to ML engineers Manual focus period at Sequoia: 2007 to 2017 - First decade focused on the cloud transition Relative LLM efficiency vs brain: 10,000 times more efficient - State-of-the-art LLMs compared to the human brain Alternative estimate of efficiency gap: six orders of magnitude - Andre Karpathy's estimate

Pivotal Quotes: "when your values are clear, decision-making is easy" — Pat Grady: Explaining how family and firm values guide behavior "Founders don't care how awesome you are. They want to know how awesome they have a chance to become." — Pat Grady: How Sequoia wins competitive investments "the thing that we're looking for is not perfection. The thing that we're looking for is clarity." — Pat Grady: His investment diligence heuristic

Implications: The open question is which AI architectures and founder profiles will ultimately dominate; listeners should focus on first-order clarity, not hype, as the field evolves.