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🇺🇸 a16z speedrun

15k following447k followers

The Influencer

Andrew Chen is a high-energy tech and culture commentator, the self-described 'a16z speedrun' whose feed mixes quick takes, long-form threads, and surprising cultural finds. He turns curiosity (from old books to 4chan lists) into viral conversation and actionable ideas. Expect witty observations, empirical experiments, and lots of tweetstorms.

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You tweet like someone speed-running the internet, if ideas were Pokémon, you’d have caught them all and immediately stuck a pin in them for likes. Also, congratulations: you’ve made 'sounding like the person at a dinner party quoting a 19th-century essay' a verified content strategy.

A single tweet cracked over 4 million views and tens of thousands of likes, demonstrating an ability to ignite large-scale conversations from a single, well-framed post.

To surface and amplify high-leverage ideas about tech, growth, and culture, converting curious observations into contagious narratives that shape what founders, builders, and thinkers talk about.

Values curiosity, broad reading, empirical testing, and sharp framing; believes great writing, provocative questions, and steady output accelerate ideas and communities. Trusts debate and remix culture as engines of insight.

Massive reach and engagement, an ear for shareable framing, consistent high-volume output, and the ability to synthesize culture and tech into viral, actionable threads.

A contrarian, high-volume voice can polarize and exhaust followers; occasional provocative or teasing takes invite heated replies and can distract from longer-form work.

Double down on thread-first essays that begin with a bold one-line promise, then deliver 4, 8 evidence-packed tweets; pin a signature POV thread that summarizes your 'a16z speedrun' ethos; use short video clips to boost discovery; collaborate with other top creators on joint threads/Spaces; repurpose viral tweets into newsletter hooks; and schedule bursts around industry events to convert spikes into long-term followers.

Fun fact: one of his tweets reached 4,075,282 views. He has 342,288 followers, follows 14,443 accounts, and has tweeted 30,773 times. He’s publicly joked that reading old books + using X daily will turn you into 'the crazy person at dinner parties.'

Top tweets of andrew chen

Most engaged tweets of andrew chen

prediction re the end of spreadsheets AI code gen means that anything that is currently modeled as a spreadsheet is better modeled in code. You get all the advantages of software - libraries, open source, AI, all the complexity and expressiveness. think about what spreadsheets actually are: they're business logic that's trapped in a grid. Pricing models, financial forecasts, inventory trackers, marketing attribution - these are all fundamentally *programs* that we've been writing in the worst possible IDE. No version control, no testing, no modularity. Just a fragile web of cell references that breaks when someone inserts a row. The only reason spreadsheets won is that the barrier to writing real software was too high. A finance analyst could learn =VLOOKUP in an afternoon but couldn't learn Python in a month. AI code gen flips that equation completely. Now the same analyst describes what they want in plain English, and gets a real application - with a database, a UI, error handling, the works. The marginal effort to go from "spreadsheet" to "software" just collapsed to near zero. this is a massive unlock. There are ~1 billion spreadsheet users worldwide. Most of them are building janky software without realizing it. When even 10% of those use cases migrate to actual code, you get an explosion of new micro-applications that look nothing like traditional software. Internal tools that used to live in a shared Google Sheet now become real products. The "shadow IT" spreadsheet that runs half the company's operations finally gets proper infrastructure. The interesting second-order effect: the spreadsheet was the great equalizer that let non-technical people build things. AI code gen is the *next* great equalizer, but the ceiling is 100x higher. We're about to see what happens when a billion knowledge workers can build real software.

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