Savan Patel

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Savan Patel

Savan Patel

@SavanPatel7

Software Engineer - OS Performance

Santa Clara, CA Katılım Nisan 2011
520 Takip Edilen229 Takipçiler
Gokul Rajaram
Gokul Rajaram@gokulr·
POD-OF-ONE: THE NEW ORG BUILDING BLOCK As a @coinbase board member, t’s been a privilege to watch @brian_armstrong @emiliemc, and the Coinbase team build a true AI-native company. Brian's whole post is worth reading in depth. I want to focus in on one thing that Coinbase is testing: “one-person product teams.” Most of the AI discourse has focused on one-person companies. The more powerful and more broadly applicable construct will likely be one-person teams inside companies. The old product org split context across 3 people. The designer held the user experience. The PM held the customer and prioritization context. The engineer held the code and systems context. Coordination was the price you paid to combine those views into one shipping decision. Agents reduce that coordination cost. A single high-agency person can now ask agents to draft flows, write code, run QA, summarize customer feedback, generate variants, check edge cases, and produce release notes. This model rewards a very specific kind of builder: • Technical enough to inspect the work • Product-minded enough to choose the right problem • Tasteful enough to reject mediocre output • Fast enough to ship before the org forms around the idea The scarce skill is judgment. One strong person with customer context and good taste can now do the work of a small pod. One weak person with agents just creates more output for someone else to review. This changes how early-stage founders should hire. The most useful hiring question is now: “Can this person own the outcome end-to-end?” That’s a higher bar than a functional job description. It blends product sense, technical range, design taste, writing clarity, and operating discipline. The title matters less. The span matters more. Call it pod-of-one thinking. A pod-of-one builder can go from ambiguous customer pain to shipped v1 without waiting for specs, mocks, tickets, handoffs, or meetings. Agents fill in missing labor. The human carries the context. Teams still matter. They should form when the surface area is real: multiple customer segments, production risk, complex GTM loops, or enough product depth that specialization pays for itself. Before that, a pod-of-one may be the fastest shipping unit in the company. Founders: hire people who can be pods-of-one, who can carry the whole problem in their head and use agents to increase their throughput.
Brian Armstrong@brian_armstrong

This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian

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CYBER SPACE
CYBER SPACE@cyberspace015·
@SavanPatel7 Hi there! If you need help recovering your account, kindly message me directly. I'll guide you through the process step by step.
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Savan Patel
Savan Patel@SavanPatel7·
Hey @Flipkart, there’s a serious security flaw in your login system. You allow access using either email or phone number. When a deactivated number gets reassigned to someone new, they can directly log in the original account revealing personal data, addresses, and orders 1/2🧵
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Savan Patel
Savan Patel@SavanPatel7·
@flipkartsupport Encryption doesn’t help here because someone can just login by getting OTP on email /phone number. And when the phone number is no longer associated with the original owner, it still can be used to access the account and data
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FlipkartSupport
FlipkartSupport@flipkartsupport·
@SavanPatel7 We are extremely concerned as we use the strongest encryption systems available to protect your accounts. We want to look into this right away. Give us a chance to fix this by sharing your registered details through DM, a safe and private channel. twitter.com/messages/compo…
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Savan Patel
Savan Patel@SavanPatel7·
Please fix this urgently — require both email + phone verification (or proper ownership checks) for logins and number changes. #FlipkartSecurity
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Savan Patel
Savan Patel@SavanPatel7·
Sorted as in I was relieved that it wasn’t hacked. But the account still suffers from split login.
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Savan Patel
Savan Patel@SavanPatel7·
@Aunindyo2023 What are the absolute demand numbers? Percentage only is not enough to conclude. Maybe demand rose sharply and scaling to meet it only with local production is not enough? How is the trend during this time window? How is the breakdown in production for local and imported?
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Savan Patel
Savan Patel@SavanPatel7·
@nummanali Good article. Minor error on claim I would say. It should be: LLMs strive for plausible and correctness over performance.
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Numman Ali
Numman Ali@nummanali·
I think this must be the most well researched technical article on X I’ve learnt more about SQL databases in this article than my whole career The argument of plausible vs correctness in LLM code outputs is so well articulated Highly recommended read
Hōrōshi バガボンド@KatanaLarp

x.com/i/article/2029…

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Savan Patel
Savan Patel@SavanPatel7·
@ChShersh Because genius people often think from the perspective of the first principles.
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Dmitrii Kovanikov
Dmitrii Kovanikov@ChShersh·
An SWE came to me and asked a very basic question. I assumed he’s a Junior. Later, I learned he gives a talk, so I attended. Turns out, the guy is cracked as hell. He described a highly complex low-latency lock-free multithreaded system (sub-10 ns hot path processing) he built.
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Niraj Shah
Niraj Shah@niraj_shah·
Well well - India’s New Diamond Rule: Only a Natural Diamond Can Be Called a Diamond: PTI
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Savan Patel
Savan Patel@SavanPatel7·
@NalinisKitchen In a business world, it’s called leverage. They do it because they can. The leverage they have is, it brings more business to the restaurants. Like it or not. If you or someone can build an alternative that helps restaurants at this scale, sure, they will back down.
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Nalini Unagar
Nalini Unagar@NalinisKitchen·
Zomato charges delivery fee - OK Zomato charges platform fee - OK Zomato charges packaging fee - OK If I pick up food myself from a restaurant, I pay for packaging. If Zomato delivers, I pay for packaging + delivery. That is fair. But why does Zomato also take a commission from the food price? The food is cooked by the restaurant. The business is built by the restaurant. Zomato is a delivery platform, not a restaurant, so charge for delivery and services, but taking a cut from someone else’s food business feels unfair. If you think I am wrong, go to a restaurant owner and ask them how unhappy they are with the Zomato/Swiggy platforms.
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A K Mandhan
A K Mandhan@A_K_Mandhan·
I met a guy today. Age: 38 Portfolio: ₹ 150 crores Lives in a 4 BHK, owns a few expensive cars. Started investing at the age of 28 (Got married at 26) Came from a humble background-no backups, grew up in a 1 BHK. Stocks allocation: 50% AIFs 30% Small-cap stocks 20% mid cap Goal: ₹ 400 crores by age 50. I asked him how he managed to build ₹150 crores and live such a lavish lifestyle at this age and speed. He replied that since his college days, he had stayed frugal and laser-focused on his work and career. He started his business at the age 26. He never chased any other girl except his college crush. He worked hard, stayed frugal & disciplined & built a great gym physique, and conviced his college crush to marry him whose father is worth ₹900 crores. Pure Grit. Zero Luck. What an inspiration.
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Savan Patel
Savan Patel@SavanPatel7·
@deedydas You’re simply promoting that pangram under the guise of the posts. Many people have genuinely insightful thoughts on various topics but find it challenging to articulate them effectively. AI serves as a boon for them, helpign present ideas in a compelling and cohesive manner.
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Savan Patel
Savan Patel@SavanPatel7·
@elonmusk — a feature request. It would be nice if X feed tweets clustered tweets (say within timeframe) by topic I follow. It will prevent rapid brain context switch from disconnected topics. Rather as a user, I can form a coherent thought on a topic for a min or so.
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Savan Patel
Savan Patel@SavanPatel7·
@CoderUday StackOverflow answers from experts on various languages are because they thoroughly understand the internals and read and comprehend the documentation. As long as there is decent, well-written, and up-to-date documentation for any language, this shouldn’t be an issue for LLMs.
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Uday
Uday@CoderUday·
Please solve my doubt🙏🙏 Currently AI is getting training on StackOverflow(.)com. Because of AI, people stopped posting question & answers on Stackoverflow. Which means no new data to AI for training. So after few year will AI become irrelevant as there is no new data??
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Savan Patel
Savan Patel@SavanPatel7·
@HariS19472025 @svembu Not always. It depends on implementation. Any backdoor for good guys is also a backdoor for a bad actors.
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DHelix
DHelix@HariS19472025·
@SavanPatel7 @svembu E2E encryption is just a feel good factor and yes, it may protect from random hackers. But it is just a false security. Backdoor is there in both in the device and the telecom network.
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Sridhar Vembu
Sridhar Vembu@svembu·
On the topic of privacy, there are three distinct cases I want to address: 1. The secret lover case 2. The violation we feel when a company uses our personal data to show ads to us 3. The secret rebel case The secret lover case also applies to org trade secrets and confidential data but "secret lover" is more catchy 😁 We work hard to ensure your privacy in case 1. Our tech stack and product are designed with this as a major goal. Let me come to case 2. By taking a vow to not use your data to try to sell you stuff, we protect you from that sense of distaste or violation. Our strong stand also ensures that corporate confidential data or trade secrets do not get leaked to those ad-related data mining systems. The secret rebel case is subject to the laws of the nations we operate in. Any company operating in a jurisdiction promising to protect a secret rebel against their own government is making a false promise. Sovereign power always prevails over mere companies. Whether it is Google or Apple, when they operate in India, they have to comply with Indian law and likewise Zoho has to comply with US law when operating in America. So while secret rebels can communicate like secret lovers do, secret rebels cannot expect courts to affirm their right to plot against their government. Our stand has been consistent on this matter. I have said these in our Zoholics events in many locations around the world for well over a decade.
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Savan Patel
Savan Patel@SavanPatel7·
@svembu Thanks! One more follow up. What’s your take on fingerprinting mandate (ability to traceback msg origin)? Currently the likes of WhatsApp do not comply to it. They have filed a lawsuit against govt challenging that it breaks true E2E encryption. Will zoho take similar route?
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