SF Bay Area
Joined February 2008
A retired NASA engineer who had worked on the Space Shuttle program for 25 years was hired by SpaceX at age 62. He described the first week as the most disorienting experience of his professional life. At NASA, a design change required 3 meetings, 2 committees, a review board, and 6 to 18 months of documentation. At SpaceX, his new supervisor said "if it works, build it. If it doesn't, change it by Friday." He sat at his desk after the first day and called his wife. He told her he felt like a man who had been swimming with ankle weights for 25 years and someone just cut them off. He could move. He could decide. He could build something in the morning and test it in the afternoon. The constraint that he had accepted as the nature of aerospace engineering turned out to be the nature of bureaucracy. Within 6 months he had contributed to more design iterations than he had completed in his last 5 years at NASA. Not because he was working harder. Because the time between having an idea and testing the idea collapsed from months to hours. The same brain. The same knowledge. A different operating system. He described a specific moment where he proposed a modification to a Raptor engine component. At NASA, the proposal would have entered a queue. At SpaceX, the modification was machined by the end of the day and tested by the following morning. He watched his idea become a physical object in 18 hours. At NASA, 18 hours would not have been enough to schedule the first meeting to discuss whether to schedule a meeting. He told an interviewer: "I didn't get smarter when I went to SpaceX. I got faster. The intelligence was always there. The system was in the way." The difference between SpaceX and NASA is not talent. NASA has extraordinary talent. The difference is the time between a thought and a test. SpaceX compresses it. NASA elongates it. The same engineer produces 10x more at SpaceX than at NASA because the bottleneck was never the engineer. It was the meetings about the meetings about the work.
2,133
13,464
1,602
90,715
10,658,168
When attackers use new sophisticated #AI, enterprise defenders cannot rely on legacy #cyber with AI only bolted on top. I’m excited about what @CylakeAI is building from the ground up, with customers keeping full control of their data and infrastructure. Thanks RenĂ© Bonvanie for the insightful conversation.
Cybersecurity has always been asymmetric: attackers only need to find one opening, while defenders have to protect everything that matters. Now, AI is changing the scale and speed of that equation. @chandna, Partner at @GreylockVC and Cylake board member, believes we're entering an era of machines fighting machines, where increasingly sophisticated attacks powered by “bad AI” will require equally capable “good AI” on defense. In Episode 6 of Inside Cybersecurity, Asheem joins @renebonvanie to discuss what AI means for the cybersecurity stack, why truly AI-native architectures need to be built differently, and what three decades in cybersecurity have taught him about the people and companies that successfully navigate major technology shifts. 🎧 Watch Episode 6 of Inside Cybersecurity: cylake.substack.com/p/good-a

1
2
18
1,143
Asheem Chandna retweeted
One of the worst predictors of founder success we've tracked is how well someone pitches; the correlation between pitch quality and outcome was often negative. Zuckerberg was so awkward in early investor meetings that VCs wondered if he could ever manage anyone, and Larry Page refused interviews and earnings calls for years. Bezos had to pitch 60 different investors to raise his initial $1 million. Highly articulate people are great with the 30min process of telling a story to strangers, but this is a pretty different skill to building a company. Founders who spend years optimising to be persuasive have often optimised away from the building skills that compound over the 10yrs of execution that come afterwards; it’s incredibly hard to do both well. The articulate founder will impress your partners but the awkward one will return your fund.
37
44
5
521
41,281
Asheem Chandna retweeted
Age when they started these companies: Michael Dell, Dell: 19 Jim Casey, UPS: 19 Steve Jobs, Apple: 21 Thomas Burberry, Burberry: 21 Walt Disney, Disney: 22 Arthur Davidson, Harley-Davidson: 22 Paul Allen, Microsoft: 22 Gerard Heineken, Heineken: 23 Whitney Wolfe, Bumble: 25 Larry Page, Google: 25 William Hewlett, HP: 25 Richard Schulze, Best Buy: 25 Sergey Brin, Google: 25 Akio Morita, Sony: 25 Phil Knight, Nike: 26 Steve Wozniak, Apple: 26 David Packard, HP: 26 Sara Blakely, Spanx: 27 John Mackey, Whole Foods: 27 Fred Smith, FedEx: 27 Steve Case, AOL: 27 Pierre Omidyar, eBay: 28 Sandra Lerner, Cisco: 28 Katrina Lake, Stitch Fix: 28 Eugene Schueller, L’OrĂ©al: 28 Charles Walgreen, Walgreens: 28 Charles Rolls, Rolls Royce: 29 Dee Hock, Visa: 29 Elon Musk, SpaceX: 30 Jeff Bezos, Amazon: 30 Erling Persson, H&M: 30 Jensen Huang, Nvidia: 30 Fusajiro Yamauchi, Nintendo: 30 Chester Carlson, Xerox: 31 Scott Cook, Intuit: 31 Leonard Bosack, Cisco: 31 Werner von Siemens, Siemens: 31 Robin Li, Baidu: 32 Oprah Winfrey, Harpo: 32 Armand Peugeot, Peugeot: 32 Travis Kalanick, Uber: 32 Jerry Sanders, AMD: 32 James Gamble, P&G: 33 Larry Ellison, Oracle: 33 Jack Ma, Alibaba: 34 William Procter, P&G: 35 William Boeing, Boeing: 35 Marc Benioff, Salesforce: 35 Rowland Macy, Macy’s: 36 J.C. Jacobsen, Carlsberg: 36 Reid Hoffman, Linkedin: 36 Reed Hastings, Netflix: 36 Namihei Odaira, Hitachi: 36 Doris Fisher, The Gap: 37 Milton Hershey, Hershey: 37 Hugo Boss, Hugo Boss: 38 Masaru Ibuka, Sony: 38 Tory Burch, Tory Burch: 38 Wayne Hughes, Public Storage: 38 Rich Barton, Zillow: 38 Henry Ford, Ford: 39 Cher Wang, HTC: 39 Gordon Moore, Intel: 39 Vera Wang, Vera Wang: 40 Jeffrey Brotman, Costco: 40 Gustaf Larson, Volvo: 40 Robert Noyce, Intel: 41 Christian Dior, Christian Dior: 41 Asa Candler, Coca-Cola: 41 Eric Yuan, Zoom: 41 Chip Wilson, Lululemon: 42 Soichiro Honda, Honda: 42 Jerry Baldwin, Starbucks: 42 Robin Chase, Zipcar: 42 Diane Greene, VMware: 43 Charlie Ergen, Dish Network: 43 Charles Geschke, Adobe: 43 Ralph Roberts, Comcast: 43 Macon Brock Jr., Dollar Tree: 43 Sam Walton, Walmart: 44 Jim Kimsey, AOL: 44 Thomas Edison, GE: 45 Jim Sinegal, Costco: 47 Adi Dassler, Adidas: 48 Marcus Goldman, Goldman Sachs: 48 Tony Ryan, Ryanair: 49 Leo Goodwin, Geico: 50 Bernie Marcus, Home Depot: 50 Harold Stanley, Morgan Stanley: 50 Gordon Bowker, Starbucks: 51 Gary Burrell, Garmin: 51 Chung Ju-Yung, Hyundai: 51 Ray Kroc, McDonald’s System: 52 Joseph Campbell, Campbell Soup: 52 Henri NestlĂ©, NestlĂ©: 52 Yoshisuke Aikawa, Nissan: 53 Bill Porter, E*Trade: 54 Sheldon Adelson, Las Vegas Sands: 55 Arianna Huffington, Huffington Post: 55 Ferdinand Porsche, Porsche: 56 Kawasaki Shƍzƍ, Kawasaki: 59 Charles Flint, IBM: 61 Colonel Sanders, KFC: 62 Dave Duffield, Workday: 65 Lisa Gable, Strap-Mate: 70
32
177
15
924
124,799
Asheem Chandna retweeted
So Tenzai is #1 on @Hacker0x01's business VDP leaderboard - for the second quarter in a row. Here's the news: this time we did it using an open-weight model anyone can download. Same result as the frontier model, ~30% cheaper per report, and only 3.5% false positives. And here's the real news: These models are highly capable to power offensive AI operations at scale. Attackers can and will build malicious agents with these models. The write-up: tenzai.com/blog/an-open-weig

1
8
2
23
12,359
Asheem Chandna retweeted
The only AI list you need in 2026 Founders, researchers & builders. FRONTIER LAB FOUNDERS @sama— OpenAI CEO @demishassabis — Google DeepMind CEO @darioamodei — Anthropic CEO CHINA'S OPEN-WEIGHT WAVE @Kimi_Moonshot — Moonshot AI / Kimi (Yang Zhilin's lab) @jietang — Zhipu co-founder & chief scientist @JustinLin610 — built the Qwen series at Alibaba THE PIONEERS / GODFATHERS @ylecun — Turing Award, pioneer of CNNs @fchollet — creator of Keras @karpathy — Anthropic, AI educator @AndrewYNg — Coursera co-founder RESEARCHERS WORTH READING @ch402 — Chris Olah, interpretability (Anthropic co-founder) @ai_explorer25— Researcher, AI commentary @leopoldasch— "Situational Awareness," ex-OpenAI Superalignment @thsottiaux— leads OpenAI Codex
17
42
3
224
40,710
Asheem Chandna retweeted
Recommended reading for the weekend: 1. @alexandr_wang — Why I'm Building Muse 2. @gregisenberg — AI-native services: a $100B opportunity 3. @FranklnTempletn — Macro Views: Growth Holds, Pressure Builds 4. @Google — Behind Project Suncatcher, our moonshot to put AI in space 5. @EpochAIResearch — The plunging price of thought 6. @AnthropicAI — Measurements for understanding the pace of AI development inside frontier labs Hope everyone has a great weekend!
37
372
11
3,671
231,008
hey @boardyai analyze my profile and tell me the most useful person in your network I should meet next, and why
2
1
8
1,984
Asheem Chandna retweeted
Nvidia CEO defines what it means to be smart and importance of seeing around the corners
3
32
2
157
32,385
Asheem Chandna retweeted
NEWS: Greylock just raised a $1.5B fund. Despite making its biggest-ever investment in Anthropic last year, the firm says it's still betting that the biggest AI companies of the next decade haven't been founded yet—and is doubling down on leading first checks. I sat down exclusively with @saammotamedi & @chandna bloomberg.com/news/articles/

5
7
71
9,805
Asheem Chandna retweeted
Today, we are officially announcing Greylock 18, our new $1.5 billion early-stage fund. @chandna and @saammotamedi sat down with Natasha Mascarenhas(@nmasc_) from @business to share our take on this moment in AI, our concentrated approach to backing founders, and why we believe the biggest companies of this wave are still ahead. Link to the article in the comments.
7
4
40
6,433
Asheem Chandna retweeted
Today, we are announcing Greylock 18, a new $1.5 billion early-stage venture fund. A company begins when a founder sees a future others cannot yet see. There is no team, product, or revenue. Only a deep insight and the courage to start. Being early is lonely work. For years, being right can look exactly like being wrong. Greylock has spent more than six decades partnering with founders through those earliest moments to build enduring companies. Airbnb, Facebook, and Palo Alto Networks all began as improbable ideas driven by founders determined to make them inevitable. AI has made the map blank again. Every part of the economy is now open to reinvention. We believe many of the defining AI companies do not yet exist. We invest selectively and partner deeply with the founders we back. Each Greylock partner makes only one or two new investments a year because the work demands depth. We bring the full attention, network, and resources of Greylock to every partnership. We are builders backing outliers. Founders have their choice of investor. When a founder chooses to partner with Greylock, we understand the weight of that choice and the profound responsibility that comes with it. We seek to be a founder’s first believer and long-term partner. Greylock 18 is our commitment to what does not exist yet.
124
61
18
779
175,908
Asheem Chandna retweeted
Most people think character is something you're born with. It isn't. It's the residue of five decisions you keep making — usually without noticing. 1. What you pay attention to. Attention is the raw material of experience. William James said it a century ago: my experience is what I agree to attend to. The phone in your hand isn't stealing your life. It's revealing what you keep choosing to look at. 2. What you tolerate. The behaviors you don't push back on become the behaviors around you. From your own procrastination to a colleague's interruption — silence reads as consent. 3. What you commit to in writing. A value you haven't put on the calendar is a preference. Timeboxing your day is how you turn intention into identity. Schedule builders, not to-do list makers. 4. Who you spend time with. You don't rise to the level of your goals. You fall to the level of the people whose discomfort you've learned to share. Pick carefully. 5. What you do with discomfort. This is the one underneath the other four. Every distraction, every broken commitment, every avoided conversation traces back to an unwillingness to sit with a feeling. Time management is pain management. None of these are personality traits. They're decisions. Which means tomorrow you can make different ones.
6
92
6
469
26,535
Asheem Chandna retweeted
A Stanford psychologist spent 4 years proving that the simple act of walking generates 60% more creative ideas than sitting, and the experiment she designed to kill every alternative explanation is one of the most decisive findings in modern psychology. Her name is Marily Oppezzo. She got the idea for the study while walking with her advisor at Stanford to discuss her thesis topic, and the paper she eventually published in the Journal of Experimental Psychology in 2014 is sharp enough that it should have ended the seated meeting on the day it came out. She ran 4 experiments on 176 people. Same person tested twice. Once sitting, once walking. The creativity tasks were the standard ones psychologists have used for decades to measure how good a brain is at generating novel useful ideas. The result was almost too clean to publish. 81% of participants in the first experiment produced more creative ideas while walking than while sitting. In the second experiment, 88%. In the third, 100%. Every single person walked into a more creative version of themselves. On average, people generated 60% more novel useful ideas the moment their legs started moving. The skeptical question is the obvious one. Maybe it was the fresh air. Maybe it was the scenery passing by. Maybe it was the change of environment doing the work, not the walking itself. Oppezzo killed every one of those explanations with one experimental decision. She put people on a treadmill facing a blank wall. No scenery. No fresh air. No environmental change. Just legs moving in place while staring at white drywall. The 60% boost held. Then she ran the experiment that closed the case completely. She took participants outside in two conditions. Half of them walked through a Stanford courtyard. The other half were pushed through the exact same courtyard in a wheelchair. Same outdoor stimulation. Same scenery passing at the same speed. The only difference was whether the legs were moving. The walkers produced dramatically more novel high-quality ideas than the wheelchair group. The outdoors did almost nothing on its own. The walking did everything. This is the part of the study that hit hardest when I read it the first time. She also tested the opposite kind of thinking. Convergent thinking. The kind where there is one right answer and you have to narrow down to it. Word puzzles where 3 words share a hidden fourth word that connects them. The seated participants did slightly better on these. Walkers got slightly worse. Walking is not a general intelligence enhancer. It does one specific thing. It opens up the divergent search inside your brain. The part that generates options. The part that produces unexpected connections. The part that takes a problem and finds five ways into it instead of one. When you need to converge on the single right answer, sit down. When you need to find the answer in the first place, get up. The mechanism is now well understood. Walking selectively activates what neuroscientists call the default mode network, the system inside your brain that runs when you are not consciously focused on anything. The DMN is where mind-wandering happens. Where memories cross-reference each other. Where ideas that have been sitting in separate folders inside your head finally bump into each other. When you sit at a desk and force yourself to concentrate, you suppress the DMN. When you walk at a natural pace, the executive part of your brain gets just busy enough handling the walking that the DMN comes online and starts doing the work that focus was blocking. The most useful finding in the entire paper is the one almost nobody quotes. The boost did not turn off the moment people stopped walking. Participants who walked first and then sat back down stayed elevated. Their next round of seated creativity work was still significantly better than people who had been sitting the whole time. The rest lingered for at least several minutes after the legs stopped moving. You do not need to do creative work while walking. You need to walk before the creative work. The brain holds the state. The history of this is the part that should haunt anyone who still does meetings in chairs. Charles Darwin built a gravel loop behind his house in Kent called the Sandwalk and walked it 3 times a day for the rest of his life. The theory of evolution was developed one lap at a time on that path. Nietzsche walked up to 10 hours a day during the years he wrote his most important books and openly said the work was conceived on his feet. Beethoven composed for the morning and walked for 5 hours every afternoon with a pencil in his pocket for when something landed. Kahneman said the best thinking of his Nobel Prize-winning career happened on leisurely walks with Amos Tversky. Steve Jobs refused to take important conversations sitting down. He held them on foot. Every one of them was using the system Oppezzo would not measure until 2014. They just did not know what to call it. The question worth sitting with is the one almost nobody asks. Every meeting you have ever attended sitting around a table was a meeting held at a fraction of the brain power that was actually available to the people in the room. Every brainstorm that got stuck inside a conference room. Every problem you tried to solve at a desk and gave up on. Every idea you could not quite get to. The intervention is the easiest one in modern science. No supplement. No app. No subscription. No training program. Just a pair of legs and 15 minutes. The Stanford lab proved it. The philosophers knew it. The neuroscience explains it. And almost everyone reading this is still trying to think their way out of problems sitting completely still.
275
2,990
402
11,738
1,617,938
Asheem Chandna retweeted
A mathematician who shared an office with Claude Shannon at Bell Labs gave one lecture in 1986 that explains why some people win Nobel Prizes and other equally smart people spend their whole lives doing forgettable work. His name was Richard Hamming. He won the Turing Award. He invented error-correcting codes that made modern computing possible. And he spent 30 years at Bell Labs sitting in a cafeteria at lunch watching which scientists became legendary and which ones faded into nothing. In March 1986, he walked into a Bellcore auditorium in front of 200 researchers and told them exactly what he had seen. Here's the framework that has been quoted by every serious scientist for the last 40 years. His opening line landed like a punch. He said most scientists he worked with at Bell Labs were just as smart as the Nobel Prize winners. Just as hardworking. Just as credentialed. And yet at the end of a 40-year career, one group had changed entire fields and the other group was forgotten by the time they retired. He wanted to know what the difference actually was. And he said it wasn't luck. It wasn't IQ. It was a specific set of habits that almost nobody is willing to follow. The first habit was the one that hurts the most to hear. He said most scientists deliberately avoid the most important problem in their field because the odds of failure are too high. They pick a safe adjacent problem, solve it cleanly, publish it, and move on. And because they never swing at the hard problem, they never hit it. He said if you do not work on an important problem, it is unlikely you will do important work. That is not a motivational line. That is a logical one. The second habit was about doors. Literal doors. He noticed that the scientists at Bell Labs who kept their office doors closed got more done in the short term because they had no interruptions. But the scientists who kept their doors open got more done over a career. The open-door scientists were interrupted constantly. They also absorbed every new idea passing through the hallway. Ten years in, they were working on problems the closed-door scientists did not even know existed. The third habit was inversion. When Bell Labs refused to give him the team of programmers he wanted, Hamming sat with the rejection for weeks. Then he flipped the question. Instead of asking for programmers to write the programs, he asked why machines could not write the programs themselves. That single inversion pushed him into the frontier of computer science. He said the pattern repeats everywhere. What looks like a defect, if you flip it correctly, becomes the exact thing that pushes you ahead of everyone else. The fourth habit was the one that hit me the hardest. He said knowledge and productivity compound like interest. Someone who works 10 percent harder than you does not produce 10 percent more over a career. They produce twice as much. The gap doesn't add. It multiplies. And it compounds silently for years before anyone notices. He finished the lecture with a line I have never been able to shake. He said Pasteur's famous quote is right. Luck favors the prepared mind. But he meant it literally. You don't hope for luck. You engineer the conditions where luck can land on you. Open doors. Important problems. Inverted questions. Compounded hours. Those are not traits. Those are choices you make every single day. The transcript has been sitting on the University of Virginia's computer science website for almost 30 years. The video is free on YouTube. Stripe Press reprinted the full lectures as a book in 2020 and Bret Victor wrote the foreword. Hamming died in 1998. He gave his final lecture a few weeks before. He was 82. The lecture that explains why some careers become legendary and others disappear is still free. Most people who could benefit from it will never open it.
144
1,843
183
8,099
1,182,712
RIP @MarkMobiusReal "One must always take calculated risks in life but let me say this: the world belongs to optimists."
I celebrated my 88th birthday last week and I’m thankful to say that I’m feeling younger, stronger and wiser than ever. I get asked almost every single day what motivates me to keep working and stay active, and my answer is simple: nothing is impossible if you stop putting limits on yourself. One must always take calculated risks in life but let me say this: the world belongs to optimists. When I first became a fund manager in my 50s, many people thought that was too ambitious (or too late, too bold — you name it) because social norms tell us that we shouldn’t have a career change late in life, and that we should retire when we hit a certain age. We, as humans, often limit ourselves to boundaries we set for one another. But the truth is — life is what you make of it. Read my latest blogpost: bit.ly/4dQ3BKi
5
4
1,468
Excited to be a founding board member & investor at @CylakeAI. Thrilled to be working with this legendary group of leaders & friends again: @nirzuk, @jimgoetz, @MarkatPANW. Welcome @InQTeI and Katie Gray as strategic investors: we are honored to have you join. cc: @GreylockVC
We’ve formed our Board with @chandna, @jimgoetz, @MarkatPANW, and @nirzuk; leaders who helped build one of cybersecurity’s most consequential companies. We’re also announcing a strategic investment from In-Q-Tel. We're building a new architecture. bit.ly/4tzKLz3
3
12
4,529
My husband @saammotamedi doesn't go long-form on the internet very often. Excited for the world to hear his thoughtful takes on investing, ethos of @GreylockVC, and even standing desks and rice cookers
Last Uncapped episode of the year, feeling really grateful for what a fun project this has turned out to be. Closing out the year with one of my best friends @saammotamedi. Although I don't like to admit it to him, he's a remarkable investor and person. Greylock has been producing amazing returns for sixty years and I tried to stay serious for long enough stretches of time during this episode to hear some of Saam's insights about how it works. Hope you enjoy. (0:00) Intro (1:32) Greylock turning 60 this year (4:11) What’s persisted since 1965 (8:59) Apprenticeship (11:34) What's durable in venture (16:29) Greylock’s ethos (19:33) Incentive misalignments (24:44) Breadth vs depth in venture (29:28) Managing the team on inputs (34:00) Why incubations are so hard (43:22) Finding alpha (52:38) Greylock’s approach to portfolio services (59:18) Assessing wild revenue ramps (1:08:10) Horizontal vs vertical SaaS (1:11:34) Friendships and work (1:16:26) Saam's biological age 😂
4
5
83
23,573
Asheem Chandna retweeted
Blooper reel with Saam as I struggled to stay serious. This is my personal favorite clip we've ever produced.
Last Uncapped episode of the year, feeling really grateful for what a fun project this has turned out to be. Closing out the year with one of my best friends @saammotamedi. Although I don't like to admit it to him, he's a remarkable investor and person. Greylock has been producing amazing returns for sixty years and I tried to stay serious for long enough stretches of time during this episode to hear some of Saam's insights about how it works. Hope you enjoy. (0:00) Intro (1:32) Greylock turning 60 this year (4:11) What’s persisted since 1965 (8:59) Apprenticeship (11:34) What's durable in venture (16:29) Greylock’s ethos (19:33) Incentive misalignments (24:44) Breadth vs depth in venture (29:28) Managing the team on inputs (34:00) Why incubations are so hard (43:22) Finding alpha (52:38) Greylock’s approach to portfolio services (59:18) Assessing wild revenue ramps (1:08:10) Horizontal vs vertical SaaS (1:11:34) Friendships and work (1:16:26) Saam's biological age 😂
11
4
2
137
32,282
Asheem Chandna retweeted
Greylock is one of the best VC firms at incubations of all time. Palo Alto Networks ($130B), Workday ($57B), and many other great companies were started in their offices. I asked Saam about why it's so uncommon for VCs to be good at incubations:
Last Uncapped episode of the year, feeling really grateful for what a fun project this has turned out to be. Closing out the year with one of my best friends @saammotamedi. Although I don't like to admit it to him, he's a remarkable investor and person. Greylock has been producing amazing returns for sixty years and I tried to stay serious for long enough stretches of time during this episode to hear some of Saam's insights about how it works. Hope you enjoy. (0:00) Intro (1:32) Greylock turning 60 this year (4:11) What’s persisted since 1965 (8:59) Apprenticeship (11:34) What's durable in venture (16:29) Greylock’s ethos (19:33) Incentive misalignments (24:44) Breadth vs depth in venture (29:28) Managing the team on inputs (34:00) Why incubations are so hard (43:22) Finding alpha (52:38) Greylock’s approach to portfolio services (59:18) Assessing wild revenue ramps (1:08:10) Horizontal vs vertical SaaS (1:11:34) Friendships and work (1:16:26) Saam's biological age 😂
19
21
1
232
64,856