Andrew Chen

Who they are

Andrew Chen is a General Partner at Andreessen Horowitz — wrote 'The Cold Start Problem,' a book on how startups launch and scale using network effects, and co-leads a16z Speedrun, which writes checks up to $1M into brand-new startups.

Person

Andrew studied Applied Mathematics at the University of Washington — a quantitative foundation that shows up in everything he's done since. He came up through marketing and product roles at AudienceScience, then did a stint as Entrepreneur-in-Residence at Mohr Davidow Ventures before landing at Uber, where he ran Rider Growth during the company's hypergrowth years. From Uber he moved to a16z as a General Partner, focusing on consumer tech, gaming, and network-effects businesses. He's been writing at andrewchen.com — now migrated to Substack — for years, producing hundreds of essays on user acquisition, retention, growth loops, and network effects; the blog built his reputation as much as any job title did. In 2021 he published 'The Cold Start Problem,' which lays out a framework for how products escape the cold-start trap using network effects. The through-line across every move is the same question: how do products grow from zero to scale, and what makes that growth durable?

Company

Market

Network

Andrew has publicly co-invested alongside Li Jin, founder of Atelier Ventures, which focuses on the creator economy — a natural overlap with his consumer and network-effects thesis. His a16z platform connects him to a dense web of consumer and growth-stage founders. Possibly — his Speedrun initiative means he's also meeting a high volume of very early-stage founders on a regular basis.

  • Li Jin· Founder, Atelier Ventures

How they likely show up

  • Hundreds of published essays on growth and network effects → he thinks in frameworks, not anecdotes; expect him to reach for a mental model quickly.
  • Applied Mathematics degree + Uber growth role → he's comfortable with data and will likely want numbers behind any claim you make.
  • Long-running public blog that predates his VC career → he built his reputation through writing, not networking alone; he values independent thinking and original ideas over consensus.
  • Role described as 'hybrid' (operator-to-investor arc) → he's lived both sides of the table and will probe whether you actually understand what it's like to run growth inside a company.
  • Co-leads a16z Speedrun investing up to $1M in brand-new startups → he's comfortable with ambiguity and early chaos, not just polished Series A decks.
  • Content themes span generative AI, consumer tech, and AR/VR → he's actively updating his thesis in real time; he's not locked into a fixed worldview.

Conversation tips

  • → Reference a specific essay from andrewchen.com — 'The Hierarchy of Engagement,' 'Why consumer product is hard,' or any cold-start piece — it signals you've done real homework, not a LinkedIn skim.
  • → Lead with a network-effects angle if you have one; that's the lens he applies to almost everything and it'll earn credibility fast.
  • → Bring a concrete growth number or retention curve if you're showing a product — vague 'strong traction' claims won't land with someone who ran Rider Growth at Uber.
  • → Ask him about the Speedrun program — it's a current initiative he's actively building and he'll have opinions worth hearing.
  • → Don't frame AI as a buzzword layer on top of your product; he's writing and thinking about AI-native interfaces specifically, so the distinction matters to him.

Toolbox

Openers

  • Open by referencing 'The Cold Start Problem' and asking which of its network-effect stages he sees most founders misdiagnose today — it's his own framework and he'll have a sharp answer.
  • Mention the a16z Speedrun program and ask what patterns he's seeing in the very earliest cohorts — it's current, active, and distinct from standard GP conversation.
  • Reference his writing on generative AI and consumer interfaces and ask how his thinking on user retention has changed now that AI can personalize at scale — it sits at the intersection of his oldest thesis and newest interest.

Discovery questions

  1. In 'The Cold Start Problem' you map the atomic network concept — looking at what you're funding now through Speedrun, where do most teams fail to define their atomic network correctly?
  2. You've written extensively on why consumer product is hard — has generative AI changed the retention math, or does the engagement hierarchy still hold?
  3. You ran growth at Uber during hypergrowth and now you're writing checks into day-zero companies — what's the most common growth instinct that works at Uber scale but actively hurts a pre-product-market-fit startup?

Avoid

Don't pitch generic 'viral growth' or 'network effects' without a precise mechanism — he wrote the book on this literally, and vague use of his own vocabulary will signal you haven't done the work.

Sources

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Generated by briefthecall.com from public web sources on May 27, 2026. Each claim is linked to its source above.