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Stanford Graduate School of BusinessStanford Graduate School of Business

Don Valentine, Sequoia Capital: "Target Big Markets"

Since founding Sequoia Capital in 1972, Don Valentine has financed many of the companies (Apple, Oracle, Electronic Arts, NVIDIA, Cisco, Google, YouTube, etc.) that have been Silicon Valley's biggest technology and business success stories.

Oct 11, 20101h 0mWatch on YouTube

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At a glance

WHAT IT’S REALLY ABOUT

Don Valentine explains Sequoia’s market-first approach to building big companies

  1. Don Valentine explains that Sequoia Capital defines its investing edge as choosing big, dynamic markets rather than selecting founders based on credentials or perceived brilliance.
  2. He illustrates a “systems and applications” investment style by describing how Sequoia funded multiple complementary companies around platform shifts such as the personal computer ecosystem.
  3. He argues that many investment failures occur not because technology doesn’t work, but because market dynamics and timing don’t match product readiness, prompting Sequoia to stop funding when expectations are no longer realistic.
  4. He describes operating principles for startups Sequoia backs—outsourcing non-core functions, building around strong technology and marketing, and managing primarily for cash flow rather than traditional finance metrics.
  5. In Q&A, he recounts how Sequoia’s recession “RIP” messaging unexpectedly went public and shares hiring/retention lessons from an internal conflict at Cisco over a key customer-focused executive.

IDEAS WORTH REMEMBERING

5 ideas

Sequoia’s core filter is market size and market dynamics, not pedigree.

He says Sequoia prioritizes the size and dynamics of the market, arguing that building a big company is “highly unlikely” without attacking a big market, and that they spend less time on credentials like where people went to school.

They invest in platforms as ecosystems—multiple complementary bets, not a single product.

Using Apple as an example, he describes investing across the surrounding “system” (memory, disk drives, floppy disks, GUI-related elements like the mouse) and even applications, noting Sequoia made over 15 investments in that category.

Bad board-level thinking can squander dominant positions and enable competitors.

He attributes some incumbent failures to boards that don’t recognize threats or opportunities, describing Xerox’s shift away from its strengths and contrasting it with Silicon Valley companies benefiting from Xerox PARC’s innovations.

Market timing and demand alignment matter more than technical success.

He says their worst outcomes weren’t because the technology failed, but because market dynamics and timing were wrong—building something with no buyers, or having product readiness and demand out of sync—leading Sequoia to stop funding.

Fundraising and evaluation run on storytelling—and on asking the right questions.

He emphasizes that entrepreneurs often can’t tell a clear story, and describes forcing one team to write their plan on the back of a business card; he also stresses Sequoia’s deliberate practice in asking questions to elicit what matters.

WORDS WORTH SAVING

5 quotes

We have always focused on the market, the size of the market, the dynamics of the market, the nature of the competition, because our objective always was to build big companies.

— Unattributed

If you don't attack a big market, it's highly unlikely you're ever gonna build a big company.

— Unattributed

With our checkbook at Sequoia, we were not interested in creating markets. It's too expensive. We were interested in exploiting markets early.

— Unattributed

Learning to tell a story is critically important because that's how the money works. The money flows as a function of the stories.

— Unattributed

We have never made a bad investment where the technology didn't work. ... But what didn't work was the dynamics of the market.

— Unattributed

Read the available transcript
Market-first venture investingTargeting large markets to build big companiesSystem/platform investing across complementary productsMarketing as a core startup functionOutsourcing and lean early operationsStorytelling and question-driven diligenceFailure post-mortems and market-timing risk

High quality AI-generated summary created from speaker-labeled transcript.

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