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🇺🇸 a16z speedrun

14k following342k 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

Here's my thread about why you should: - quit whatever it is you're doing - build the startup you've wanted to build - work with me and the a16z team 1:1 - And yes, I'll invest $1M via a16z speedrun (and the earlier your startup, the better. apply here: sr.a16z.com) I want to start with some things I hear: "Nah, it's not the right time for me to launch a new startup. But why yes, I do scribble down new ideas all the time. And my best friend from work would be the perfect cofounder. Oh I even have a side project going..." There's always something around the corner: - a promotion that might happen - a job you want to get before you're "ready" to start a company - the perfect first hire that might free up in a month - a work project you want to finish up first - a sign that your idea is the perfect idea ... and a million other things But let me make the counterpoint, which is that the AI has created a unique window for launching new products. And it's ephemeral and (unfortunately) rapidly closing. - the startup window opens and shuts for a few years, once every decade. Wait it out now, and you'll have to wait 10+ years for the next one. After all, the AI wave is huge and comparable to what we saw in mobile, internet, desktop, etc. And if you look at the dates, you'll see -- 2007 for mobile, 1994 for web, 1984 for desktop. These waves happen sparingly. You could build Instagram in the first few years of mobile, but you don't want to be the photo-sharing app 8 years in. You could build Uber in the early days, but don't try to compete with them now. These windows are key. - the excitement for trying new products is at an all time high. On social media, we've now all seen first hand when new products are launched and hit great traction right off the bat. People have a hunger to try new products in a way that hasn't existed since the App Store launched. - one of the biggest problems for pre-AI products is that marketing channels are incredibly stagnant. Mobile ad channels are expensive, SEO is slow (and Google keeps taking over the search page), and you can't use aggressive virality anymore. Growth is hard. But if you have a new AI-driven take on a product category -- take advantage of the novelty effect! Before the marketing channels get swamped. - adding AI into an idea no longer requires a PhD in Computer Science :) This means that you can build totally wow breakthrough features into your product and impress your users simply by integrating APIs. You don't need to train any models, and your users may not even care what's under the hood. (just look at cursor, granola, etc -- they just care about great UX). The infrastructure is largely here, but the products are still early. There are still tons of great opportunities. - there's an incredible talent arbitrage right now. There aren't that many AI-native jobs, but everyone wants to learn more, so you can recruit top people if your product starts life day 1 as an AI product. - you might ask, can't I just work on this next year? Well -- maybe. These big waves are intensively competitive. The good ideas are getting snatched up right now, as people ask the question for how to apply AI to XYZ sector. And once the area is taken by a good team with real funding, you could maaaaybe fast-follow, but you're playing on hard mode at that point - there's never been a better time! After all, I found this fun post a while ago: Building a startup in 1995: - Buy & run a server - Code everything from scratch - Handle payments manually - Market with print ads Building a startup in 2025: - Click to deploy - AI writes code for you - 1 line of JavaScript to charge any credit card - 1 tweet goes viral = thousands of visitors (h/t @marc_louvion) - another good reason to get started: You're reading the right essay :) And now you know about a16z speedrun, which makes it possible for us to invest in very early startups, particularly in our favorite area of tech and entertainment and AI. This is still an experimental program, and we're committed to invest up to $1M in teams that are even pre-product and/or pre-traction, if you've had strong relevant experiences. Things are early enough that I am super hands on, and look forward to working with many of you! And the link again: sr.a16z.com and more program details: speedrun.a16z.com Ultimately, a big wave like this doesn't come often. It's easy to make excuses, and for those of you who know you want to be a founder one day, I encourage you to consider jumping in during 2025. - For those of you who want to wrap something at work, or are waiting for a promotion, or something else, I want to tell you a secret: No one will care, after you've spent 18-24 months+ in a single job, what happens next at that job. The tech industry changes quickly and you get rapidly diminishing returns from what you can learn/prove at a single place. You can cut it short, and jump into a new startup. - For those who are waiting for the perfect idea: Your first idea will probably suck. Well maybe that's too harsh, so the more polite way to say it would be that it's based on incomplete information. You don't have a product in front of real users and customers. You haven't explored all the competitive products. You haven't spent 1000s of hours talking to your users yet. You need to get started doing that, to get through the 100 variations of your sucky ideas to get to the real one. - For those who are waiting for a sign: Here's your sign :) - For those who don't have an idea: That's OK. Apply with some areas/sectors you are interested in, and we'll help you talk through the kinds of problems that are exciting - For those who want to work on another job before you know enough to start a company: You know this isn't logical. Plenty of founders get going before they have any significant work experience. Another set of founders often start companies in sectors where they have no prior expertise. You don't need more prep!

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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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