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Greylock’s Saam Motamedi on How Venture Firms Endure | Ep. 37

Saam Motamedi is a General Partner at Greylock Partners working with enterprise software entrepreneurs at the seed and early stages who are focused on new opportunities in intelligent applications, cybersecurity, AI, and data infrastructure. In 2019 at just 26 years old, Saam became the Greylock’s youngest General Partner in its 54-year history – a remarkable achievement at an institution that had backed Airbnb, AppDynamics, Coinbase, Discord, Figma, Instagram, LinkedIn, among others. Saam’s portfolio spans 14+ companies with collective valuations exceeding $10 billion. Abnormal Security, which Greylock incubated in its offices in 2018 with Saam as founding investor, grew into a multi-billion-dollar email security powerhouse. Cresta, where he led the Series A in 2019, became the leading generative AI platform for contact centers. Snorkel AI, Braintrust, Orb, and a portfolio of other infrastructure companies position Saam at the center of AI's business model transformation. We covered: - Durable components to great firms - Inside look at how Greylock operates - Cracking the code on incubations - Alpha in today’s venture strategies Timestamps: (0:00) Intro (1:32) Greylock turning 60 this year (4:11) What’s persisted since 1965 (8:59) Apprenticeship (11:34) What's durable in venture (16:29) Greylock’s ethos (19:33) Incentive misalignments (24:44) Breadth vs depth in venture (29:28) Managing the team on inputs (34:00) Why incubations are so hard (43:22) Finding alpha (52:38) Greylock’s approach to portfolio services (59:18) Assessing wild revenue ramps (1:08:10) Horizontal vs vertical SaaS (1:11:34) Friendships and work (1:16:26) Saam's biological age More on Saam: https://greylock.com/ https://x.com/saammotamedi More on Jack: https://www.altcap.com/ https://x.com/jaltma https://linktr.ee/uncappedpod Email: friends@uncappedpod.com

Saam MotamediguestJack Altmanhost
Dec 16, 20251h 22mWatch on YouTube ↗

CHAPTERS

  1. Greylock’s origin story: 60 years, multiple LPs, and how venture worked in the ’60s

    Saam and Jack start with what made Greylock unusual in 1965: a multi‑LP structure that helped define today’s GP/LP model. Saam shares vivid details of early venture sourcing—newspapers, classifieds, long diligence cycles—and contrasts it with today’s speed.

  2. What stayed constant through decades: “best supporting actor” and a service-first ethos

    Jack presses on what’s consistent across eras. Saam argues Greylock’s durable core is values: founders are the stars, and partners should aim to be the ‘best supporting actor’ with a service mindset rather than publicity or ego.

  3. Apprenticeship as a talent system: immersion, osmosis, and shared credit

    Saam explains Greylock’s apprenticeship model and how younger investors are developed through deep immersion in board work, executive hiring, and decision-making. The key is an internal incentive system that values being ‘causally impactful’ over deal sourcing credit.

  4. What’s durable in a venture firm: ethos, brand flywheel, and network compounding

    Saam lays out the components of venture persistence: values, brand, and network. He illustrates compounding networks through a detailed lineage from Greylock recruiting outreach to Teleport to Abnormal AI to new startups, showing how trust compounds across generations of builders.

  5. Incentive misalignments and partner turnover: fees vs carry, scale vs service

    The conversation turns critical: Saam argues many firms drift into fee-driven asset management and indexing behaviors, reducing founder support. They discuss how partner churn and internal politics harm companies, and why founders should evaluate whether their board partner will still be at the firm years later.

  6. Breadth vs depth: staying concentrated while tracking the market rigorously

    Saam explains Greylock’s attempt to balance deep, concentrated relationships with paranoia about missing the best opportunities. They track competitors’ financings and aim to be in position on most, while maintaining fast decision-making and avoiding FOMO.

  7. Managing investors like a team: inputs-based performance and accountability

    Jack asks how venture firms manage performance when outcomes take years. Saam describes Greylock’s inputs-based framework—18 measured inputs across core job components plus internal contribution—using feedback loops like sector reviews and responsiveness expectations.

  8. Why venture ‘incubations’ are hard—and Greylock’s initiation principles

    Saam reframes ‘incubation’ as founder-led ‘initiation’ and explains why most attempts fail. Greylock aims to remove market risk before inception, focus on founder quality, and stay founder-friendly on economics—while doing hands-on company-building work.

  9. Finding alpha today: market makers, barbell strategies, and indexing trade-offs

    Saam offers an LP-style framework for where alpha exists: being a market maker rather than participating in auctions. He argues the strongest sources are at the earliest ‘raw’ stage and the latest ‘round-constructing’ stage, with indexing as a lower-alpha but viable strategy.

  10. Portfolio services that actually work: specialists, measurement, and early leverage

    Saam critiques portfolio services as often being marketing theater rather than founder value creation. He explains Greylock’s approach: true specialists integrated into the firm, focused on early-stage leverage, and measured quantitatively on outcomes like hires and customer development.

  11. The “capital river”: king-making rounds, momentum, and getting companies into the current

    They unpack the ‘capital river’ concept: once in the current, fundraising, hiring, and perception compound rapidly. Saam sees momentum as increasingly important and links Greylock’s early-stage services to increasing a company’s odds of entering this compounding loop.

  12. Interpreting ‘wild’ AI revenue ramps: durability vs pull-forward and margin realities

    Saam cautions against confusing fast growth with durable growth, drawing parallels to 2021 pull-forward demand. He argues investors must decompose business models—retention, margins, switching costs—and avoid warping expectations about what ‘good’ looks like in enterprise.

  13. Horizontal vs vertical SaaS in the AI era: why new horizontals may finally emerge

    They debate whether vertical AI software can become truly massive versus horizontal platforms historically dominating enterprise outcomes. Saam argues history favors horizontal, and AI may create the first real opening in decades due to new pricing models, new units of work, and shifting data/ontology assumptions.

  14. Friendship, humor, and longevity: blending personal support with high-context work

    Closing topics shift to relationships and the venture lifestyle. Saam describes their friend group as unusually high-trust and non-transactional, providing honest pressure to be ambitious while keeping work light through humor—echoing an ‘old school’ venture camaraderie.

  15. Biological age, calendar design, and serendipity: staying sharp in a reactive job

    They end on personal operating system choices: diet/sleep basics, keeping unscheduled time for thinking, and protecting serendipity despite growing obligations. Saam shares tactics for saying no, maintaining beginner’s mind exposure, and avoiding meeting overload that reduces real judgment quality.

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