Anil Kumar (@anilk247) profile picture

Husband. Father. Son. Brother. Friend!

Tampa, FL
Joined September 2009
Photo by Anil Kumar (@anilk247)Photo by Anil Kumar (@anilk247)Photo by Anil Kumar (@anilk247)Photo by Anil Kumar (@anilk247)Photo by Anil Kumar (@anilk247)Photo by Anil Kumar (@anilk247)Photo by Anil Kumar (@anilk247)Photo by Anil Kumar (@anilk247)Photo by Anil Kumar (@anilk247)Photo by Anil Kumar (@anilk247)
Anil Kumar retweeted
Marty has run the New York City Marathon every year since 1980 and finished his 43rd tonight as the last man across the line. He said it would be his final one his mind is still willing, but his body isn’t. A remarkable way to end the streak. Congratulations on 43 NYC Marathons, Marty. ❤️
Readers added context they thought people might want to know
The runner’s name is James Thomas, not Marty. The person who filmed and spoke with him (@MickmickNYC) confirmed this. He is not the 90-year-old Marty Granoff (who ran his 6th NYC Marathon in 2026, last previously in 1983). Source: x.com/MickmickNYC/st…
72
2,190
191
24,768
640,500
Anil Kumar retweeted
SORRY WHAT?!
We’ve raised $1.3M from YC & Afore Capital so you never have to type or speak again. Typing is slow. Talking into your computer is awkward. Subvocal fixes both Our glasses give you the speed of speech without you making a sound or touching a keyboard. It tracks your internal speech muscles with non-contact sensing and decodes silent, almost invisible mouthing into text at more than 200 words/min. Pre-orders are now live at: subvocal.co/preorder?utm_sou…
68
150
12
3,909
528,132
Launching RNAFoundry.com – we manufacture personalized cancer vaccines.
333
1,297
262
6,182
823,094
A year ago, Microsoft, Alphabet and Meta generated $60.7 billion of free cash flow in a single quarter. This summer, $7.4 billion. They didn't sell less. Revenue grew 19% at Microsoft, 25% at Alphabet and 26% at Meta. What changed is the bill: $125.6 billion in three months for data centers, chips and servers, double what they spent a year earlier. Meta put 54 cents of every dollar of revenue into capex. Alphabet spent $9 billion more than it took in, its second negative quarter in a row, and this morning its stock fell 12%. If it closes down more than 9.77%, it will be its worst day after earnings since going public in 2004. The detail that worries me most is in Google's search numbers. Search ads grew 12% and still missed expectations. Philipp Schindler, Alphabet's chief business officer, said part of the reason is that AI Mode makes less money per search. So Google is spending record sums to build a product that earns less than the one it replaces. For twenty years these were the best businesses ever invented. You wrote the code once, sold it to billions of people, and almost every new dollar of revenue fell to the bottom line. AI doesn't work like that. Every answer runs on a chip someone had to buy and on electricity someone has to pay for. Big Tech is turning into something closer to a utility: huge upfront costs, long paybacks, and profits that depend on keeping the machines full. That can still be a great business. But it is a different business, and investors are only starting to price it that way. The old moat was code. The new one is cash.
137
360
45
2,934
554,552
Anil Kumar retweeted
Announcing three major scientific discoveries, one each in mathematics (harmonic analysis), computer science (complexity theory), and physics (quantum field theory). AI starting to help us improve our understanding of the universe! openai.com/index/building-sc…
685
2,034
874
16,197
3,215,272
Anil Kumar retweeted
I got tired of all the spam calls I was getting so I had @bot find my number listed on sites and file the removals. I made it a free skill so you can do the same. x.ai/bot/fUj6TYhiW_cjtzWvbsF… @SpaceXSI @elonmusk
1,046
1,110
228
8,626
4,868,002
Anil Kumar retweeted
Real life, baby
19,229
96,338
45,743
774,893
99,075,514
I spent 48 hours in SF hanging out with billionaires, data labs and AI founders and execs running $1B to $100B companies. My observations: 1. Sooo MANY stories of data brokers making like $2M a WEEK selling company data to labs. I can't tell if it's the beginning or a bubble, and I kept wondering which niches are left. Digging into it actively. 2. At dinner, someone asked the table, "If a new model drops next month, does your company get better or worse?" HALF the table went quiet! I think that's the best question to ask about any AI startup right now. 3. The bar people talk about now is hitting $1B in revenue in 12 months (I guess that's the new unicorn?). What I didn't hear much about is retention. AI revenue can come in fast and leave fast, and I think we're going to see a lot of stories of AI companies with huge revenue and terrible retention. 4. It's pretty clear we're living through the reinvention of the computer. The model is the CPU, the harness is the operating system, and skills and plugins are the apps. Thinking about it that way makes it easier to see where the whitespace is. 5. We're maybe 12 months from an agent that can watch you work for a week and then do your job without any instructions. The screen recording plus agent memory plus local model combination makes this possible right now. 6. Agent harnesses feel like the new GPT wrappers, in a good way, especially vertical ones. The best teams I talked to treat the model as swappable. One founder walked me through routing different models to different jobs: one for taste and visuals, a cheaper one for the everyday stuff, another for text. They use prompts they can move across models over fine-tuning, and A/B test the output on what users actually do with it: do they edit it, export it, share it? A vertical harness is basically four things: the connectors for that industry's data, evals written by people who know the work, rules for what the agent can and can't touch, and a clean screen for a human to review. The model is maybe 20% of it. 7. There's a lot of reverse engineering going on/cloning going on more than I've ever seen. People are decompiling software and rebuilding it with agents, and someone showed a suite of like 10 apps that are worth $5B+ each all that he cloned open source. Me and everyone are still thinking through what it means when software gets this easy to copy. 8. My guess is the value moves to data. If the software can be rebuilt quickly, what's worth paying for in a legacy SaaS company is the years of customer data and workflows inside it. Some SaaS companies are secretly data companies. Gets me thinking about how do you truly value data for this saas companies? Like if we were buying these dying saas companies at 2x ARR before (as example), maybe there is a better metric. Idk, just thinking out loud here. 9. It feels like a good chunk of legacy software won't make it to the agentic era, especially anything built around people clicking through a lot of screens. 10. Every company I talked to wants to pipe its internal data into one place and expose it to agents through MCP. Then they look at the data and realize it's a mess: five versions of the same customer, old Slack channels, PDFs nobody can search. Cleaning that up feels like a big consulting opportunity! 11. A lot of founders are building the basic building blocks for agents: APIs, data layers and tools. Some of the companies I saw barely have a UI because the main user is an agent. I really believe the startups that build primitives to this agentic era will do extremely well. Building blocks is the best way to think about it. 12. Labs can get plenty of training data, but it's harder to get real examples of agents failing inside companies. Whoever has those logs has something valuable. 13. Someone running a big consumer company told me the next fight is over memory. The model that remembers the most about you wins, and the smartest model matters less than people think. 14. Physical AI came up a lot. Astra I think was the first model that got people into AI can actually do CAD, and I think a lot of people are thinking what does vibe manufacturing really look like. The line I keep thinking about came from a robotics founder: the hardest problems in AI are deployment problems now, not research problems. Their robots work on their own, call a human when they get stuck, and every one of those calls becomes training data. 15. Cybersecurity companies are having a moment and are actually cool companies to build now, especially the ones that clean up after a breach. Every agent with access to your systems is a new door into your company, and a lot of those doors were left open. 16. Some startups are worth more dead than alive now. A shutdown company with 5 years of Slack, email and code can get paid for licensing all of it. I wouldn't be surprised if founders start factoring that into when they shut down. 17. People are starting to talk about monetizing the agent web. It feels really early, but when the most popular user of the internet is an agent, what startups should you be building? 18. I think agent insurance is coming. Once an agent makes an expensive mistake, insurers will want audits before they cover anyone. 19. Several people said the hire they want most is someone with taste who can write evals. The models are getting good at generating ideas, so the hard part is judging which ones are good. 20. New trend I observed: startup raises VC, uses venture dollars to become a creator, startup fails, founder falls back on being a full-time creator and incubates other products bootstrapped. 21. Getting SIGNIFICANT distribution is HARD right now. Founders are sponsoring buses, buying billboards like crazy and throwing parties with famous DJs to get noticed. Kinda feels dotcom era in that sense. Attention is what's scarce! The growth guy going viral sharing his UGC strategy from Wispr Flow is a good example. It's the sauce everyone wants, and I truly believe there are probably only 50 people on the planet who know how to scale these types of businesses efficiently in this era. Always good to get that dose of SF. I felt sooo lucky to have such an incredible trip during such an incredible time in building businesses. Surreal in so many ways. Happy to be home and locked in. Until next time!
939
1,991
583
21,250
2,542,452
Anil Kumar retweeted
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.
2,129
13,444
1,607
90,563
10,683,962
Anil Kumar retweeted
Nana Saheb. What a man. What a loss. I shared a wonderfully warm relationship with Nana Patekar. We didn’t meet nearly as often as I would have liked, but whenever we did, it felt like we’d last met yesterday. He took particular pride in the fact that a fellow Maharashtrian had made a name for himself in photography. There was invariably a warm word of encouragement, inevitably accompanied by a generous helping of his trademark acidic wit. Unpredictable. Intense. Fiercely individualistic. Nana Sahib didn’t merely enter a room. He took possession of it. His presence and aura were quite extraordinary. One of my most cherished memories of him is from what may well have been among his last formal portrait sessions, when I photographed him for my exhibition, HONEST: Portraits of Character. He insisted I come to his farm near Pune to make the pictures. Before the shoot, he wanted to know exactly how many people were coming. Not because he was concerned about the size of the crew, but because lunch would be served. And what a lunch it was. An extensive, delicious, home-cooked Maharashtrian feast. Every single person, from my assistants and spot boys to the drivers, was seated and fed in his main dining area. And there was Nana Saheb himself, walking around the tables, personally serving everyone an extra puri and another helping of his famous mutton. No hierarchy. No fuss. Just extraordinary hospitality from a man who could intimidate an entire film set with one raised eyebrow. After lunch, he proudly took me around his sprawling property, including his gymnasium, where he casually knocked off a dozen tricep dips. Stone cold. No warm-up. At an age when most people consider getting off the sofa a fairly respectable workout. And then came a moment of such spectacularly morbid humour that it could only have been Nana. He showed me a neatly stacked pile of firewood that he’d kept ready for his own funeral. I thought he was joking. He wasn’t. He explained, with complete seriousness, that the wood had been carefully kept dry because wet wood produces too much smoke. And he didn’t want people at his funeral crying because the smoke was getting into their eyes! I laughed till my sides hurt. Only Nana Sahib could plan his own cremation and somehow make it a comedy routine. A phenomenal actor. A voice that defined a generation. An utterly original personality. And beneath that famously formidable exterior, a deeply generous and solid human being. His passing feels terribly personal. Like a punch in the guts. I’m profoundly grateful that I got to make those portraits of him. But even more grateful for the hours we spent together, the conversations, the laughter and the privilege of seeing the man beyond the legend. My heartfelt condolences to Malhar, Neelu ji and everyone who loved him. Rest easy, Nana Saheb. There will never be another quite like you.
30
104
7
903
29,455
Anil Kumar retweeted
Starlink is much bigger than faster internet It gives a country an entirely new layer of infrastructure that reaches people traditional networks still cannot More connectivity means more education, more businesses, more productivity and more people connected to the global economy Countries that move fast will benefit from it Countries that keep delaying are choosing to leave that growth on the table
193
310
22
2,040
304,150
Anil Kumar retweeted
SpaceXAI engineer (ex-Cursor): "99% of people still use GrokBot like Google and only 1% are building teams of self-learning agents i'm running 10-20 Grok cloud agents in a loop. I have a Chief of Staff, a PM agent and 15+ worker agents" in a 20-minute workshop, a SpaceXAI engineer showed how to build cloud agents that will work for you 24/7 this replaced a $500 agentic engineering course watch today, then read the article below on how to use GrokBot at 100% of its power
9
39
148
25,624
Just wrapped our earnings call. It was a very strong close to what was a record fiscal year for Microsoft. · Annual revenue: $331B, +18% · MS Cloud: $214B, + 27% · And Azure: $100B, +41% And even bigger opportunity ahead! I wanted to share some more perspective on two areas of focus for us:
760
1,107
201
16,865
2,275,424
Very thorough analysis 🙌
A family had both memberships for 2 years. Costco and Sam's Club. $65 and $60. $125/year for two warehouse clubs 8 miles apart. They tracked 100 identical products across both stores. They compared gas prices for 12 months. They tested the pharmacies, the return policies, the apps, the food courts, and the store brands side by side. Their neighbor a consumer spending analyst reviewed the data and said: "Sam's Club wins on price more often than Costco loyalists will ever admit. Costco wins on quality and services by a margin Sam's Club can't close. You don't need both. You need the one that matches how your family actually shops." She scored both across 10 categories. One winner per round. A final scorecard that settles the debate. The loser will surprise you. The winner depends on one question most families never ask. Here's the full breakdown 🧵
58
Anil Kumar retweeted
🚨#BREAKING: A 28-year-old confirms he has spent the last 10 YEARS of his life interviewing World War II combat veterans to keep their stories alive... ...in fact, for the last 10 years, he has interviewed World War 2 veterans EVERY SINGLE DAY He started as a teenager, ditching school to ride his BIKE to the local retirement home, walking up to the front desk and asking to, "meet some World War II heroes." His name is Rishi Sharma. He's crossed all 50 states and half the world. He's slept in his car and lived on gas-station food to afford it. He asks these men for hours of their memories, and then he hands the entire recording to their families... ...FOR FREE So that 200 years from now, a great-great-grandchild will know not just their hero's name, but how he laughed, how he cried, and what he sacrificed. Rishi has no military family, his parents immigrated here from India. He does it out of pure gratitude. In his words: "My parents were given the opportunity to immigrate and raise a family because of veterans like these. It's a debt of love I'll spend my entire life trying to repay..." As one 100-year-old Marine who stormed Iwo Jima told him, remembering the flag going up: "The hair on my arms still stands up when I think about how beautiful it was." THAT is America. 250 years of ordinary people doing extraordinary things... God bless our veterans. 🇺🇸🇺🇸
1,391
16,119
807
93,071
3,235,609
Anil Kumar retweeted
After the final whistle Cape Verde's coach Bubista went for a handshake, but Scaloni gave him a warm hug instead. What a moment! 🇦🇷🇨🇻 nitter.cf/caesar_mayor/status/20…
102
471
33
9,037
682,935
Anil Kumar retweeted
Bill Ackman literally gave a 44-minute masterclass that explains money better than any business school. 1. Starting early is the single biggest advantage you have. If you save $10,000 at age 22, never add another penny, and earn 10% a year, you have $600,000 by retirement. wait until 32 to start, and the same money only grows to $232,000. The decade you lose at the beginning costs you more than any decade later because compounding does its heaviest lifting at the end. 2. The return rate matters even more than most people grasp. That same $10,000 at 22 earning 10% becomes $600,000. At 15% it becomes over 4 million. At 20%, the rate Warren Buffett has achieved, it becomes 25 million. Einstein called compound interest the most powerful force in the universe. Ackman's lecture is essentially a demonstration of why. 3. Avoiding losses matters as much as chasing returns. if you reach for a 20% return but lose half your money every 12 years from bad decisions or a rough patch, your 25 million collapses to 1.8 million. Buffett's rule one is never lose money. Rule two is never forget rule one. the math of recovery is brutal, so protecting the downside is not caution, it is strategy. 4. Debt is safer, but the upside is capped. Equity is riskier, but the upside is unlimited. In the lemonade stand example, the lender who put up $250 earns a steady 10% and gets paid back first if the business fails. the equity investor who put up $500 earns over 100% if it succeeds but gets wiped out if it fails. The equity holder earns more precisely because they took the risk the lender refused. 5. The risk that matters is permanent loss, not price movement. most people think risk is the stock price bouncing up and down every day. Ackman says ignore that. the real risk is whether you will permanently lose your money. Short-term volatility is noise. the question that matters is whether you get your capital back with a return over the long run. 6. Avoid startups and complicated businesses. You do not need 100% a year to build a fortune. you need 10 to 15% over a long period. so skip the lemonade stands and unknown ventures. Invest in public companies that are established, liquid, and have to clear real hurdles before going public. If you cannot understand how a business makes money, avoid it no matter how good its track record. Ackman cites Enron, a business almost nobody actually understood. 7. Invest in a business you could own forever. if the stock market closed for 10 years, you should not be unhappy holding it. Coca-Cola is his example. easy to understand, sells a syrup and earns a profit on every drink, the population keeps growing, and it is nearly impossible to disrupt with new technology. McDonald's is another. People have to eat, the food is cheap, and they keep growing. find a business you would be comfortable holding through anything. 8. You want products people are loyal to and will pay a premium for. People buy generic flour and sugar without caring about the brand. but they want the Hershey bar, the Cadbury bar, the see's candy specifically. you do not want to sell a commodity that anyone can sell cheaper. You want something unique that customers refuse to substitute even at a 20% discount. 9. Low debt is a safety feature. In the lemonade stand example, $250 of debt was manageable. But if it had been $1,000 and the business hit a rough patch, it could have gone under and wiped out the shareholders. Find companies with little debt or so much profit relative to their interest payments that a bad year cannot sink them. 10. Barriers to entry protect your returns. You want a business that is hard for someone to compete with tomorrow. Coca-Cola's market presence is so strong that you expect to get a Coke at any restaurant. Pepsi has coexisted with it for decades, but neither can put the other out of business. If a competitor can show up next year with a better version and steal the customers, the business is not worth owning long term. 11. The best businesses are immune to outside factors you cannot control. Coca-Cola has survived 120 years through world wars, nuclear weapons, and every kind of crisis, and each year it makes slightly more money. You want companies that do not depend on commodity prices, interest rates, or currency moves. A business that keeps earning regardless of what is happening in the world is the kind you hold forever. 12. Low capital intensity is one of the most underrated qualities. The worst businesses require massive reinvestment to grow. The auto industry has to build enormous factories and buy machine tools before selling a single car, and those tools wear out. GM's stock barely moved over 40 to 50 years for exactly this reason. Coca-Cola, by contrast, sells a formula and collects a royalty. American Express takes a few percent of every dollar spent on its card. a business that earns a royalty on other people's capital is one of the best things you can own. 13. Pay down debt and build a cushion before you invest. If you have high-interest credit card debt, paying it off is a guaranteed return equal to the interest rate. same logic, to a lesser degree, with student loans at 6 or 7%. and you want 6 to 12 months of expenses in the bank so that losing your job tomorrow does not force you to sell. You can only handle market volatility if you do not need the money. 14. Be a buyer when everyone is selling and a seller when everyone is buying. The natural human tendency is the opposite, a lemming-like instinct to sell in a crash and buy in a bubble. people sold into the 1987 crash when they should have been buying. The only way to resist this is to be financially secure enough that the money at risk does not affect your life, so you can withstand the swings without panicking. 15. The stock market is a voting machine in the short term and a weighing machine in the long term. Ben Graham's idea, which Ackman repeats. short-term prices reflect the whims and emotions of investors. long term, prices reflect the actual value of the underlying businesses. If you buy good businesses at reasonable prices and hold them while they grow, you make money over time as long as you are never forced to sell at the wrong moment. 16. A stock is just a bond where you do not know the coupon. Flip a price-to-earnings ratio over, and you get an earnings yield. A stock at 10 times earnings is a 10% earnings yield, which you can compare directly to a 3% treasury. the difference is the bond's coupon is fixed and the stock's coupon, its earnings, moves up and down. Ackman wants an earnings yield higher than a treasury that will also grow over time, so he does not need to be right about explosive growth to earn a good return.
68
698
31
3,362
1,427,172
Winning against the Chinese. In China. At the Asian Relay Championships. Srabani, Sudeshna, Sneha & Tamanna in the 4x100 relay. Power. Speed. Grace. Commitment. But above all, teamwork. This clip has it all. I’m watching it on loop. More of this please. 🇮🇳
907
8,423
264
49,169
1,297,394
Anil Kumar retweeted
Yes, the United States has the most progressive tax system in the world. The top 1% pay 40% of taxes, the bottom 50% pay 3% of taxes. We can make it even more progressive by zeroing out taxes on the bottom half. It’s a small amount of the total tax revenue but very meaningful to people in this group.
Jeff Bezos said the bottom half of Americans should pay zero federal income tax. He cited a nurse in Queens making ~$75K and paying ~$12K in taxes saying “we shouldn’t be asking this nurse in Queens to send money to Washington.”
4,938
4,532
1,180
52,139
11,647,133