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?

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.

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Sources

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Generated by briefthecall.com from public web sources. Last updated May 25, 2026. Each claim is linked to its source above.

Automatically generated by AI from public sources. May be inaccurate or out of date. Remove or correct this profile →