Unleash the Avatar Gameplay Trailer | Early Alpha | Watch on TV in 4K!Varun Mayya2026-09-22 | Unleash the Avatar Gameplay Trailer | Early Alpha | Watch on TV in 4K!Anthropic Accidentally Leaked Their Most Powerful AIVarun Mayya2026-03-27 | ...This tool just fixed one of the most time-consuming parts of AI filmmaking! @UtopaiStudiosVarun Mayya2026-03-27 | ...Good Software Engineers Are Really LazyVarun Mayya2026-03-26 | ...Meta & Google Must Pay $6 Million Because a Kid Couldnt Stop ScrollingVarun Mayya2026-03-26 | ...Software Engineering in 2026 Is NOT What You ThinkVarun Mayya2026-03-26 | ...This AI app lets you control cows completely virtually!Varun Mayya2026-03-25 | ...Claude can now control your entire computer for you!Varun Mayya2026-03-24 | ...Y Combinator is finally coming to India!Varun Mayya2026-03-24 | ...Why the Best Founders Are All GamersVarun Mayya2026-03-24 | ...Carl Peis Advice to His Younger SelfVarun Mayya2026-03-24 | ...Carl Pei on Whats Next for NothingVarun Mayya2026-03-23 | ...Higgsfield Just Built Its Own Netflix But for AI Generated VideosVarun Mayya2026-03-23 | ...Why Nothing Opened a Physical Store in IndiaVarun Mayya2026-03-22 | ...Is This Nothings Secret Weapon?Varun Mayya2026-03-22 | ...Andrej Karpathy Just Ranked Which Jobs AI Will Kill FirstVarun Mayya2026-03-22 | ...Carl Pei’s Prediction About the Future of JobsVarun Mayya2026-03-22 | ...Carl Pei on AI, Mobile Wars & Why Gamers Make Better EntrepreneursVarun Mayya2026-03-22 | ...Is this the era of Indians finally looksmaxximg?Varun Mayya2026-03-21 | ...Indian Engineers Need to Wake Up. Nothing CEO on AI, India Plan & Future of Tech JobsVarun Mayya2026-03-21 | In this conversation, we sit down with Carl Pei, founder of Nothing, to talk about how he built a phone company from scratch in a hypercompetitive market like India. We get into how Nothing stood out not by having the biggest budget but by noticing a simple thing: all the big brands were trying to sell to everyone, which meant nobody was really selling to anyone specific.
We then go deep on how a phone actually gets made, from deciding what the product stands for to managing hundreds of supplier relationships, keeping cash from getting stuck in inventory, and shipping on time when delays cost millions. Carl also talks about where Nothing is headed with AI, what Essential Apps is really pointing toward, and why he thinks the entire idea of an operating system is going to change completely within the next few years.
We then wrap up by talking about people and culture, why Carl brought everyone back to the office five days a week, what that did to the quality of hiring, and what he thinks the next few years mean for software engineers who are not actively paying attention. If you’re someone who wants to understand how a hardware startup actually competes, how Carl thinks about building for the long term, and where phones and AI are headed, this episode is absolutely worth your time.
00:00 – Introduction 02:16 – Breaking into a commodity market 05:08 – How Nothing plans to be uncopyable 06:25 – Beyond vibe coding 07:50 – The way we build software has changed 09:25 – The process of phone manufacturing 15:04 – Distribution strategy 21:50 – Why Nothing opened a physical store 25:32 – Nothing's content playbook 29:34 – First hires are never your best hires 35:27 – Carl Pei's learnings 41:19 – The OS that makes apps obsolete 46:50 – Closing ThoughtsGoogles New AI Designs Full Apps From Just One PromptVarun Mayya2026-03-19 | ...Militaries Are Now Using Real AI-Powered Spy Cockroaches!Varun Mayya2026-03-18 | ...Pokémon Go Players Unknowingly Trained Delivery RobotsVarun Mayya2026-03-17 | ...NVIDIA DLSS 5 Makes Games Look Like Real LifeVarun Mayya2026-03-16 | ...This Indian startup just built an AI that finds you jobs!Varun Mayya2026-03-16 | ...This Guy Used ChatGPT To Build His Dog A Cancer Vaccine!Varun Mayya2026-03-15 | ...The Real Secret Behind Every Successful BusinessVarun Mayya2026-03-15 | ...Scientists Just Copied a Fruit Fly Brain Inside a Laptop!Varun Mayya2026-03-13 | ...The Most Underrated Marketing HackVarun Mayya2026-03-12 | ...Anthropic Just Released the Map of Which Jobs AI Is Actually TakingVarun Mayya2026-03-12 | ...The Biggest Lie in Marketing DataVarun Mayya2026-03-11 | ...This Is Why Most Teams FailVarun Mayya2026-03-11 | ...LTX-2.3 Just Changed Free AI Video ForeverVarun Mayya2026-03-11 | ...Your Degree Wont Make You SuccessfulVarun Mayya2026-03-10 | ...Hard Work Wont Make You SuccessfulVarun Mayya2026-03-10 | ...Why Indian Startups Are Unprofitable | KATA 6Varun Mayya2026-03-09 | Welcome to the sixth session of the 16-Kata series. This one takes on one of the most quietly destructive problems in business and life: attribution. Figuring out what's actually responsible for your success or failure, and why most people get it completely wrong.
The session walks through how Nike lost $25 billion by chasing what was easy to measure over what actually built the brand, why Indian startups stay unprofitable by overdosing on performance marketing, and why tools like coupon codes, ROAS, and "how did you hear about us" forms give you garbage data. It also applies the same lens to life, challenging ideas like "hard work leads to success" and "the best product wins" as textbook poor attribution, and asking a room spending 10 lakhs on degrees whether those degrees had anything to do with where they are today.
Whether you're in marketing, building a company, or just trying to figure out why certain decisions aren't paying off the way you expected, learning how to attribute correctly changes how you spend your money, your time, and your energy. If you're optimizing the wrong inputs in your business or your life, this one's for you.
00:00 - Highlights 00:59 - What Is Attribution? 03:40 - Creators Who Steal Credit 05:06 - ROAS Is Killing Your Brand 07:50 - How Nike Lost $25 Billion 09:52 - The Performance Marketing Death Spiral 13:20 - Your Survey Data Is Lying to You 16:50 - The Proxy Attribution Hack 18:31 - Shares Are the Only Metric That Matters 20:48 - How People Actually Buy Things 24:00 - Bad Products Advertise for Competitors 25:08 - The Only Attribution Method That Works 26:36 - Did Your Degree Even Matter? 29:00 - There's No Single Path to Success 34:32 - Hard Work Is Not Enough 36:00 - The Actual Formula for Business Success 37:43 - Closing ThoughtsTwo Nothing 4a Pro features that genuinely impressed meVarun Mayya2026-03-08 | ...I Built a Prediction App for India vs NZ Using EmergentVarun Mayya2026-03-07 | ...Microsoft just announced Project HelixVarun Mayya2026-03-06 | ...OpenAI just launched a new model called GPT-5.4Varun Mayya2026-03-06 | ...Apple just launched MacBook Neo, its cheapest MacBook ever!Varun Mayya2026-03-04 | ...You Can Now Move Your AI Memory to Claude for FreeVarun Mayya2026-03-03 | ...The Biggest Tech Announcement of 2026: Why You NEED to Watch Nvidia GTCVarun Mayya2026-03-02 | Register for Nvidia GTC: nvda.ws/3M9DJ3ZWill AI Crash The Economy By 2028?Varun Mayya2026-03-01 | ...This Could Be AIs Biggest Breakthrough in 10 YearsVarun Mayya2026-03-01 | ...Why Most Young Entrepreneurs Fail!Varun Mayya2026-02-28 | ...Trump Just Blacklists Anthropic as a National Security RiskVarun Mayya2026-02-28 | ...Jack Dorsey just fired half his company because of AI!Varun Mayya2026-02-27 | ...The Truth About Working With Mark ZuckerbergVarun Mayya2026-02-27 | ...The Man Behind Metas Super IntelligenceVarun Mayya2026-02-27 | ...Zuckerbergs Secret Plan To WIN The AI Race | Meta AI Chief Reveals FutureVarun Mayya2026-02-26 | In this episode, we sit down with Alex Wang, former founder of Scale AI and now Chief AI Officer at Meta, to understand what Meta Superintelligence Labs is actually building. We talk about how Meta is designing its AI organisation from scratch, focusing on research depth, talent density, and long-term scientific foundations instead of short-term wins.
We then understand how Meta balances frontier research with real-world products, and how models, infrastructure, and consumer applications all work together. They focus then shifts to AI agents, including wearables like the Ray-Ban Meta glasses.
Finally, we talk about leadership, what it is like working with Mark Zuckerberg. So if you’re someone even remotely interested in AI, this conversation has it all.
00:00 - Highlights 00:57 - Introduction 01:46 - What is Meta Super Intelligence Labs? 03:31 - Balancing Research vs Product 05:17 - What's the team structure at MSL? 06:16 - Why Meta is betting big on personal agents 07:05 - What is Meta's identity in the AI race? 08:21 - The hardware vision beyond the phone 09:28 - When will Meta Ray-Bans get modern AI? 11:22 - Lessons from being an 18-year-old entrepreneur vs. today 13:54 - Why Alex left Scale AI to join Meta 16:18 - Alex's Unconventional Views on AI 18:10 - Should Meta have a chief philosopher for AI? 19:21 - What's it like working with Mark Zuckerberg? 21:12 - Closing thoughts