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Sarah Wang
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Sarah Wang✓

@sarahdingwang

General Partner @a16z growth fund How you do anything is how you do everything

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1.4K Following19.7K Followers2.1K Posts
  1. Sarah Wang✓@sarahdingwang
    One of my favorite parts of being a growth investor at @a16z is that we get to take bold, high conviction bets even at the earliest stages of company building. When Martin first intro'ed me to @drfeifei, World Labs wasn't fundraising but the path was pretty clear: get involved as early as possible. Watching Fei-Fei, @jcjohnss and @BenMildenhall dream up new worlds, push the frontier forward with state of the art models and build an incredible culture this past year was a privilege and joy. This team is truly N of 1. Congrats to @theworldlabs and @AMD a partnership led by the two of fucking best CEOs in the world. I can’t wait to see what they build together. And none of this would be possible without my world class venture partner @martin_casado, whom I got to see firsthand roll up his sleeves on every level of the company. The best to ever do, imho.
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    Fei-Fei Li @drfeifei
    18936952.6K
  2. Fei-Fei Li✓@drfeifei
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  3. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @DavidGeorge83: Great piece on @databricks and our history w them. @alighodsi is the original Technical Terminator. @bhorowitz's take on Ali: "We see great entrepreneurs but their market opportunity is limited, and then we see companies that have a great market opportunity but the entrepreneur is not big enough to fulfill that. But this was a case where we had both... Last month, Databricks crossed a $7 billion revenue run rate, growing 80% year over year, and was valued at $190 billion. The entrepreneur, it turned out, is big enough."
    benahorowitz.eth @bhorowitz
    04067
  5. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @oliviakoshy: we raised a lot more money(!!!) so we could throw away a product used and loved by thousands of customers and entirely rebuild it from scratch for a new era of software are we crazy? yes is it correct? also yes! so much more to share soon 💜
    Barry McCardel @barrald
    In May, we had just closed our best quarter ever – and of course decided to re-build @hexanalytics from scratch. Today we're announcing two things: Hex 4.0, the first analytics platform truly built for agents; and a $100m fundraise at a $1.2B valuation, led by @peakxvpartners The world is changing fast, and we're not slowing down! Read more here:
    03075
  6. Sarah Wang✓@sarahdingwang
    Ali Ghodsi: "There’s no agentic work that’s automated the whole enterprise. That has just not happened." "The models are smart enough, but they just don't have the context that exists inside of any organization." "And if you just fused that and gave that context into the AI models, just the frontier today, I think there's so much productivity gains you could get for any organization on the planet." Ali has a singular understanding of how AI will integrate into the enterprise, and Databricks is going to define the future of the firm. Awesome piece. He is the best combination of foresight, commercial Genghis Khan-ness, and technical depth we've ever seen. Awesome piece and even more fired up about Databricks than when Growth first partnered in 2019!
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    benahorowitz.eth @bhorowitz
    66837K
  7. Sarah Wang✓@sarahdingwang
    It's one thing to add AI to your product...it's another to reimagine the entire platform from first principles for the era of agents. So fired up for Hex 4.0. Congrats @barrald @crcolgrove and the entire @hexanalytics team!
    Barry McCardel @barrald
    In May, we had just closed our best quarter ever – and of course decided to re-build @hexanalytics from scratch. Today we're announcing two things: Hex 4.0, the first analytics platform truly built for agents; and a $100m fundraise at a $1.2B valuation, led by @peakxvpartners The world is changing fast, and we're not slowing down! Read more here:
    32261.5K
  8. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @barrald: In May, we had just closed our best quarter ever – and of course decided to re-build @hexanalytics from scratch. Today we're announcing two things: Hex 4.0, the first analytics platform truly built for agents; and a $100m fundraise at a $1.2B valuation, led by @peakxvpartners The world is changing fast, and we're not slowing down! Read more here:
    024091
  9. Sarah Wang✓@sarahdingwang
    Nothing scarier this Halloween than agents with production access
    Alex Immerman @aleximm
    Your favorite multi-agent system. Happy Halloween from the @a16z Growth swarm: Dots, Grokbot, Devin, OpenClaw, travel agents, long-running agents, a few still in stealth, and one human-in-the-loop. Coming for that headless CRM.
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  10. Alex Immerman✓@aleximm
    Your favorite multi-agent system. Happy Halloween from the @a16z Growth swarm: Dots, Grokbot, Devin, OpenClaw, travel agents, long-running agents, a few still in stealth, and one human-in-the-loop. Coming for that headless CRM.
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    1711017.8K
  11. Sarah Wang✓@sarahdingwang
    Gotta love my fellow Sarahs!!! (many great ones outside of this list too) @sarahcat21 @saranormous
    Sarah Catanzaro @sarahcat21
    I’m reluctant to share this because I truly DGAF about these lists (there are so many truly brilliant investors with better track records who I deeply admire who are routinely missed) but… If you’re not named Sarah, you can’t sit with us @sarahdingwang @saranormous
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  12. Sarah Catanzaro✓@sarahcat21
    I’m reluctant to share this because I truly DGAF about these lists (there are so many truly brilliant investors with better track records who I deeply admire who are routinely missed) but… If you’re not named Sarah, you can’t sit with us @sarahdingwang @saranormous
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  13. Sarah Wang✓@sarahdingwang
    Computer use is finally entering its scaling moment. Better models, faster execution, stronger safety controls are all making agents actually practical for both consumer and enterprise work. Very bullish on the new paradigm of agents working productively in the background even for non technical users. Great pod from my partners @seema_amble @fabserafini with @AriX and @JamesZmSun!
    a16z @a16z
    OpenAI's computer-using agents can now operate almost any app the way a person does, clicking and typing through software that never got an API, and the team building them says they're close to beating expert humans on speed. Ari Weinstein works on OpenAI's consumer computer use products, and James Sun works on the enterprise side. Both were startup founders before joining OpenAI. They join a16z's Seema Amble and Fabrizio Serafini to discuss what OpenAI's Astra model changed for computer use, the controls enterprises need for agents they can no longer watch, why computer use works as a universal API for legacy ERPs and finance systems, and why they think cheap software will push UI to get better and more personal. 0:50 What Astra changed for computer use 3:23 Consumer vs. enterprise computer use 5:43 How James runs his workday with Dots 8:06 When computer use becomes superhuman 10:01 How much autonomy to give agents 11:36 What agents mean for ad-supported sites 13:51 Computer use as the universal API 17:21 Getting enterprises to trust agents 20:22 Why the best use cases are the boring ones 25:37 Why UI isn't going away 32:38 Advice for founders building on agents 37:31 Making computer use feel coherent 40:57 Computer use's scaling moment YouTube: @AriX @JamesZmSun @OpenAI @seema_amble @fabserafini
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  14. a16z@a16z
    OpenAI's computer-using agents can now operate almost any app the way a person does, clicking and typing through software that never got an API, and the team building them says they're close to beating expert humans on speed. Ari Weinstein works on OpenAI's consumer computer use products, and James Sun works on the enterprise side. Both were startup founders before joining OpenAI. They join a16z's Seema Amble and Fabrizio Serafini to discuss what OpenAI's Astra model changed for computer use, the controls enterprises need for agents they can no longer watch, why computer use works as a universal API for legacy ERPs and finance systems, and why they think cheap software will push UI to get better and more personal. 0:50 What Astra changed for computer use 3:23 Consumer vs. enterprise computer use 5:43 How James runs his workday with Dots 8:06 When computer use becomes superhuman 10:01 How much autonomy to give agents 11:36 What agents mean for ad-supported sites 13:51 Computer use as the universal API 17:21 Getting enterprises to trust agents 20:22 Why the best use cases are the boring ones 25:37 Why UI isn't going away 32:38 Advice for founders building on agents 37:31 Making computer use feel coherent 40:57 Computer use's scaling moment YouTube: @AriX @JamesZmSun @OpenAI @seema_amble @fabserafini
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    4244426156K
  15. Sarah Wang✓@sarahdingwang
    An amazing cause from an amazing couple I look up to 🙏🏻 @FeliciaHorowitz @bhorowitz
    martin_casado @martin_casado
    Thank you Ben and Felicia for this incredible generosity.
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  16. martin_casado✓@martin_casado
    Thank you Ben and Felicia for this incredible generosity.
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    5823614.3K
  17. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @YODELAGARZA: Patch or Die! Today we sent the following out to the CEOs in our portfolio regarding the widespread vulnerabilities that have been detected by AI agents: The previous week should make it obvious that things have changed. Vulnerabilities are being discovered and exploited at a rate that has never been seen before. While there has been a flood of new vulnerabilities AI agents are being adopted at scale multiplying the potential risk. Agents not only help automate the attacker lifecycle, every ai agent is an insider threat. Your environments are designed to withstand attacks from the outside, not from within. As such, we are suggesting company leaders consider the following changes: 1 - Ensure you're sufficiently staffed for security. The average enterprise allocates roughly 10% of its tech spend to security. Consider doubling that. There are likely thousands of vulnerabilities that need fixing in your environments. Security through obscurity no longer works, all that can be exploited will be exploited. 2 - Establish a zero tolerance policy for secuirty bugs in new features and product releases. Re-examine launch and release schedules and consider delays to ensure all vulnerabilities are patched before deploying new features or products. 3 - Double tap the zombies. Find all old legacy environments that have been neglected and turn them off. Labs, test environments, zombie CI/CD projects etc. Turn it off for now. If it isn’t tied to revenue, kill it. 4 - End the risk acceptance process. Over the last 10 years the risk acceptance process has morphed from a way to accept risks to enable the business, to a way to justify never fixing security issues. Adopt a zero tolerance policy for security issues and risks.
    0360115
  18. Sarah Wang✓@sarahdingwang
    Great advice
    Erik Torenberg @eriktorenberg
    Ari Emmanuel’s book is excellent
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  20. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @a16z: Marc Andreessen says the gap between what AI-native startups and incumbents think AI can do is the widest he’s ever seen: "The AI-native early stage startups have just a completely different view on what they can do with AI than the typical incumbents in almost any industry, almost without exception." "AI is just racing ahead in capability even week by week... There are going to be a lot of industries that are really up for grabs in a fundamentally more profound way than maybe has been the case in the past." "The founders are gonna have a level of superpowers coming from the use of these tools and these technologies that they just simply haven't had in the past... Had I had Astra and Netscape in 1994, like, oh my God. Like, Ben, what would you and I have been able to do at Netscape?" "Those entrepreneurs are gonna color way outside the lines. We already see this. They're not gonna think of themselves as like, 'I'm just a software company,' or, 'I'm just a hardware company,' or even, 'I'm just an AI company.'" @pmarca @bhorowitz
    a16z @a16z
    Today, a16z Crypto is becoming a16z Frontier. Since joining a16z in 2013, @cdixon has focused on technologies that look futuristic well before they reach the mainstream. Those themes led to investments in Oculus, Skydio, Zipline, Coinbase, Solana, and Uniswap. Frontier expands that mandate beyond crypto to back "outer planet" founders who are building new technologies and creating markets that may take years to develop. Chris joins @pmarca, @bhorowitz, and @eriktorenberg to discuss why crypto has become part of the broader tech landscape, why Frontier fills a hole in the firm's architecture, and why they'd rather be too early than too late. They also get into why the gap between AI-native startups and incumbents is the widest Marc has ever seen, how AI could pull forward 20 years of frontier technology, why stablecoins may become the way AI agents pay each other, how AI is breaking the internet's business model, and why today's 18-year-olds are about to become superhumans. 0:50 Introducing a16z Frontier 2:49 Smartphone parts to drones and VR 4:47 Backing the "outer planets" 7:11 Good ideas that look like bad ideas 10:43 The JP Morgan photo in Marc's office 15:13 Good tech ideas eventually work 16:53 AI may pull tech 20 years forward 18:18 The widest AI gap Marc's ever seen 22:06 Workers adopt AI before companies do 26:32 Old use cases vs. AI-native ones 30:08 Beyond "product manager brain" 34:45 AI can reverse engineer any hardware 38:23 The case for open source AI 46:36 How AI breaks the internet's model 49:11 VR, homebrew hacking, multiplayer AI 54:00 If you're 18, study "modern alchemy" YouTube: Not an offer or solicitation. None of the information herein should be taken as investment advice; Some of the companies mentioned are portfolio companies of a16z. Please see for more information. A list of investments made by a16z is available at
    0340068
  21. a16z@a16z
    Today, a16z Crypto is becoming a16z Frontier. Since joining a16z in 2013, @cdixon has focused on technologies that look futuristic well before they reach the mainstream. Those themes led to investments in Oculus, Skydio, Zipline, Coinbase, Solana, and Uniswap. Frontier expands that mandate beyond crypto to back "outer planet" founders who are building new technologies and creating markets that may take years to develop. Chris joins @pmarca, @bhorowitz, and @eriktorenberg to discuss why crypto has become part of the broader tech landscape, why Frontier fills a hole in the firm's architecture, and why they'd rather be too early than too late. They also get into why the gap between AI-native startups and incumbents is the widest Marc has ever seen, how AI could pull forward 20 years of frontier technology, why stablecoins may become the way AI agents pay each other, how AI is breaking the internet's business model, and why today's 18-year-olds are about to become superhumans. 0:50 Introducing a16z Frontier 2:49 Smartphone parts to drones and VR 4:47 Backing the "outer planets" 7:11 Good ideas that look like bad ideas 10:43 The JP Morgan photo in Marc's office 15:13 Good tech ideas eventually work 16:53 AI may pull tech 20 years forward 18:18 The widest AI gap Marc's ever seen 22:06 Workers adopt AI before companies do 26:32 Old use cases vs. AI-native ones 30:08 Beyond "product manager brain" 34:45 AI can reverse engineer any hardware 38:23 The case for open source AI 46:36 How AI breaks the internet's model 49:11 VR, homebrew hacking, multiplayer AI 54:00 If you're 18, study "modern alchemy" YouTube: Not an offer or solicitation. None of the information herein should be taken as investment advice; Some of the companies mentioned are portfolio companies of a16z. Please see for more information. A list of investments made by a16z is available at
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    Chris Dixon @cdixon
    6281577480K
  22. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @iampaulgrewal: Over my years at @meta, @coinbase and @cognition, I've had the experience of working for three founder CEOs of unique talent and accomplishment. Three consistent things about that experience are why I tell young people that there is no better environment to get really good early in your career:
    0120101
  23. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @MichelleLazzar: free comms advice: if you are being interviewed in any capacity- press, podcast, internal all hands, fireside chat, anything - and at the end the person interviewing you says - is there anything else we should cover - what did i forget to ask you - what am i not smart enough to ask you - do you have anything further to add do NOT respond with "nah i think we covered it all." this is an easy layup. take it, don't throw the shot away. say the thing again
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  24. Sarah Wang✓@sarahdingwang
    💪💪💪 no one better at the frontier! @cdixon
    Chris Dixon @cdixon
    0010859
  26. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @stuffyokodraws: The @resend team cares about craft more than almost anyone I know. Every detail at Forward was perfect :) Huge congrats on shipping Resend Inboxes for humans + agents, and Forge, their own email infra built from scratch 🔥 @zenorocha
    04090
  27. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @robrombach: so fast 🔥
    fal @fal
    Introducing FLUX 3 Max, the latest post-trained video model from fal Research in partnership with @bfl_ai. FLUX 3 Max is tied for #1 in image-to-video quality on independent third-party benchmarks, generating a 10-second, 720/768p video in ~12 seconds. For the next three weeks, FLUX 3 Max is 75% off, making it the most affordable frontier video model at its quality level.
    090115
  28. fal@fal
    Introducing FLUX 3 Max, the latest post-trained video model from fal Research in partnership with @bfl_ai. FLUX 3 Max is tied for #1 in image-to-video quality on independent third-party benchmarks, generating a 10-second, 720/768p video in ~12 seconds. For the next three weeks, FLUX 3 Max is 75% off, making it the most affordable frontier video model at its quality level.
    Download
    1421761.4K457K
  29. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @jeffzwang: We're excited to announce Exa 3.0! A huge number of improvements: - Bigger, better embeddings model driving core search - Higher quality highlights with further reduced token counts - Lower latency, cheaper search type "Lite" - Better reranking, particularly across long documents - Even better real-time news, sports, weather, and market data - Laundry list of other stuff Let us know what you think! 🫡
    Exa @ExaAILabs
    Introducing Exa 3.0: our largest ever improvement to search quality. Exa is now #1 on every benchmark we tested, from public evals to verticals like coding and GTM intelligence. It's the result of multiple research breakthroughs 🧵
    0120112
  30. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @ExaAILabs: Introducing Exa 3.0: our largest ever improvement to search quality. Exa is now #1 on every benchmark we tested, from public evals to verticals like coding and GTM intelligence. It's the result of multiple research breakthroughs 🧵
    01720108
  31. Sarah Wang✓@sarahdingwang
    Sarah Wang
    RT @martin_casado: I wonder if the introduction of gen AI software is similar to the move from metal to molded plastic in physical goods. There is a drop in total quality, but the lower cost massively increased the market. And market forces create Pareto optimality over time in price / quality.
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