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Nirja Bhatt looks intimidating on paper: Columbia, Harvard Business School, strategy consulting. But she calls herself "a duck in water” i.e you never see what’s moving beneath the surface. It took her two years of analysis paralysis, ten abandoned ideas, and learning to normalize embarrassment before she could finally start.Nirja is the founder of Laani, a pre-launch personal care brand for women, built around the categories nobody talks about. In this episode, she and Avnish go back to the very beginning.They get into: 1. How do you start when you have ideas but no capital? 2. Why validate a problem, not an idea? 3. How do you make peace with betting your own savings on yourself? 4. Should you raise money before you have a product? 5. And what actually separates the founders who make it?6. An honest conversation about the part of the founder journey nobody photographs.Chapters00:00 Intro: Meet Neerja Bhatt, founder of Laani01:30 Growing up in Baroda, raised by grandparents03:00 Rejected by every dream school: the USC detour04:30 How a professor's letter got her into Columbia07:30 Q1: How do I start with no capital and too many ideas?08:30 Analysis paralysis: 10 ideas and the HBS trap11:00 Moving back to India: the waste management chapter16:30 Q2: Passion vs. market gap — how to pick your problem19:00 Talking to 200 women: customer validation done right21:00 Q3 (Gubbachi founders): Hero products vs. commodity staples26:30 To raise or not to raise: funding pre-launch29:00 Final advice: persistence and eating a lot of shit30:00 Outro

Chakradhar Gade had the résumé everyone's supposed to want: engineering, CFA, a hedge fund, and felt like he'd lost himself inside it. So he walked away to sell milk.This is the story of how a finance guy who once mapped "the IRR of a cow" learned that the spreadsheet was a lie, lost all his money proving it, and rebuilt Country Delight from first principles, one customer relationship at a time.Avnish Bajaj and Chakradhar get into the questions most founders sit with alone: 1. What do you do when a successful career leaves you with "a huge loss of identity"? 2. Should you bootstrap and survive, or raise aggressively and run? 3. How long does it really take to learn a business you've never been in? 4. How do you tell real customer love apart from people just being nice to you? 5. When the model that "looked very beautiful in Excel" collapses, what replaces it?A conversation about chasing meaning over status, why bootstrapping bought six years of depth, and why, in Chakri's words, "there's no downside" to starting.Chapters 0:00 Welcome & introducing Chakradhar Gade1:35 Growing up in Guntur, Infosys & chasing meaning4:43 From MBA to Wall Street — why he chose finance7:33 The decision to quit New York and become a doodhwala12:05 The IRR of a cow (and why Excel lied)14:51 Bootstrap or raise? The real answer17:00 Raising from friends & family without ruining relationships21:02 From ₹80 lakhs to ₹200 crores a month23:01 The milkman model & month 60 retention32:34 Final advice: take more risks, there is no downside

Are entrepreneurs born or made? Asish Mohapatra is certain it's the second and he'll tell you plainly he's good at maybe 3 of the 10 things a founder needs.Asish is the co-founder of OfBusiness and Oxyzo, which he built into one of India's largest B2B commerce and lending businesses. But this conversation with Avnish isn't about the scale, it's about the intellectual honesty underneath it.In this episode, they get into:1. How did you get comfortable in your own skin? Was there a trigger?2. Are entrepreneurs born or made, and how do you decide which skills to build vs. buy?3. How do you pick a co-founder (and run a company with your spouse)?4. Why would you never hire someone at their last salary?5. Do you have to go public and when?6. A conversation about failing early, being honest about it, and finding the 🎧 New episodes of Unstarted every Thursday. For founders. By founders.Chapters00:00 Cold open01:30 The boss he fired, the mentor he kept03:30 The 10% you keep for life07:30 Are founders born or made?08:30 Why I got comfortable failing08:45 Build it or buy it?15:30 Picking a co-founder (and a wife)19:00 Why I work 20-hour days19:35 Baby is six days older than the company22:45 The vulnerabilities he leads with28:00 Never hire at their last salary30:30 Always the next IPO?35:00 Be yourself. Keep building your superpower.

Can you be a founder without ever founding anything?Amarjeet Batra has spent 25 years building other people's companies, first Baazee, eBay, OLX, and now Spotify India, and never once thought of himself as an employee. He's what Avnish calls "professionally unstarted": a founder from within.Avnish and Amarjeet get into the questions most operators never say out loud: 1. If you have the skills, the confidence, and the network, but not the one big idea, what do you actually do with that? 2. Is raising a fund a solution, or a responsibility you take on before you've found the problem?3. Why would you choose 1% of a billion-dollar company over 100% of a ten-million-dollar one? 4. How do you build a category when ten players already exist and you've arrived last? 5. When is a difficult problem worth solving, and when does the market simply not care enough to pay?6. This is a conversation about range over specialisation, ownership without a cap table, and why some of the most entrepreneurial people you'll meet never start a company of their own.Chapters00:00 Cold open01:30 The professionally unstarted founder02:55 Baazi, the born-again moment05:10 Why I broke every rule of specialization08:30 The eBay epiphany: time to do something bigger09:43 China, and the scale that humbled me18:26 The power of moving last20:05 Building the category nobody built21:15 Is there still a marketplace to win?22:56 Disruption, distribution, and the AI shift23:58 Q: How do you actually scale an events business?26:15 Q: (cont.) Why your event might be the wrong product28:14 Q: Should we build a place to apprentice under founders?31:32 How to actually reach a busy operator34:20 Q: Difficult problem, or one nobody will pay for?35:09 Problem-first, and the willingness-to-pay test36:37 Vitamin or painkiller39:01 Play-front music: a business model flips41:09 Why success looks overnight

What does it actually take to build AI for 70 crore users?Vikram sits down with Rahul Chowdhury - co-founder and CTO of PhonePeto talk about how India's most scaled fintech is approaching AI. Not with hype or a top-down mandate, but with a quiet, deliberate, engineering-first philosophy that started four years ago with a small team focused on making developers happier.Rahul shares the inside story of PhonePe's AI journey from building their own LLM gateway and Agent Hub, to launching AI search with Microsoft, to betting on on-device models for privacy and cost. And it ends with the biggest idea of all: India's DPI stack has spent a decade making data AI-ready. The opportunity now is to use it to build the bank branch of one — truly personalized financial products for every Indian.If you're a founder, engineer, or product leader trying to understand where India's AI story is really headed, don't miss this.What you'll learn🔹 Why PhonePe avoided output metrics in year one of AI and why it worked🔹 How to build an AI culture without a top-down mandate🔹 What an LLM gateway is and why every scaled company needs one🔹 Why on-device models are the right bet for consumer AI in India🔹 How DPDP will reshape how companies think about AI and data🔹 Why India's role in global AI is in applied AI — not foundational models🔹 How DPI × AI creates the opportunity for hyper-personalized financial productsChapters0:00 Intro & who is Rahul Chowdhury02:30 PhonePe's AI journey: tinkerers to transformers06:00 The DevX team: why developer happiness came first10:00 Don't rush into AI — the engineering first mindset14:30 Building the LLM gateway & data stack18:00 Agent Hub: PhonePe's internal marketplace of agents22:00 AI Search with Microsoft & on-device models26:00 Why India needs edge models, not foundational ones30:00 DPI × AI: the bank branch of one34:00 Conclusion

Harshil Mathur started Razorpay after quitting the highest-paying job on his campus, a role his whole family had just celebrated, because he walked in on day one and realised he was a guy who wanted to sit and code, not step onto an oil field.Then he spent a decade away from that: walking into bank after bank getting laughed out of the room, surviving the grind no funding can fast-track, and the night Yes Bank froze with customer money stuck inside it. This is the founder story, lived experience as an edge, why the rejections compounded in his favour, why the grind always comes, and the values that made the hard calls simple.And then the thing that pulled him back: agentic AI. "It went from being an assistant to an execution engine." Six years after he last wrote real code, Harshil locked himself in a room, asked "if I were to start Razorpay today, how would I build it?" — and rebuilt everything.The second half is an operator's view of what that shift actually changes: 1. Why AI magnifies an org's weaknesses instead of fixing them2. Why an agent with no plan drifts exactly like a company with no plan3. How Razorpay flipped its leadership hackathon and the bet behind Agent Studio4. Hosted by Avnish Bajaj with Vikram Vaidyanathan this is a conversation about building, walking away from it, and being pulled back, and what that says about where AI is headed.Chapters00:00 Introduction02:15 Growing up in Jaipur & coding since 6th grade05:30 IIT Roorkee, SDS Labs & building without permission10:45 Quitting a $100,000 Schlumberger job in 6 months14:20 The Facebook comment that sparked Razorpay18:00 100 banker rejections & how rejections compound24:10 Getting into YC with zero expectations35:30 Yes Bank freezes — one decision defines the culture40:00 Going back to coding after 6 years — AI changes everything52:00 Rebuilding Razorpay from scratch with AI agentsFollow Z47Website - https://www.z47.com/Instagram - https://www.instagram.com/z47.vc/LinkedIn - https://www.linkedin.com/company/z47-vc/

Anjali Sardana grew up in northern Virginia, studied biology at Georgetown, worked at Bain Capital — and then, without telling her parents, flew to India and founded Pronto: a platform building the world's largest labor organization network, starting with home services.In this episode of Unstarted, Anjali breaks down how she picked an operations business over a product business (and why), why she sees India's informal labor market as a trillion-dollar opportunity, and the founder mindset that got her through the messy, chaotic, sleep-deprived early days.She also gets brutally honest about faking confidence, hiring missionaries not mercenaries, and why she thinks most human limitations are completely made up.Chapters0:00 Intro — Meet Anjali Sardana1:20 Growing up in Virginia, studying biology at Georgetown3:10 The evolution framework that shaped her business thinking5:00 Product vs. operations vs. distribution — how she chose8:30 Why India? The labor-market thesis12:00 Moving to India with zero experience — and hiding it from her parents15:40 Fake it till you make it: raising a seed round at Bain Capital19:15 Running pilots, vibe-coding the app, and getting the first bookings24:00 The Kapil story — recruiting 30 workers in one afternoon28:00 Operating 24/7 with 5 people, sleeping in shifts31:30 Building culture: missionaries vs. mercenaries36:00 Urgency as a core value — actions beget information39:30 Conviction vs. market signals — how to balance both

India's GPU footprint is on track to grow 40x by 2030, from ~50,000 today to a couple of million. That number is bigger than any public forecast. Sharad Sanghi has the unusual standing to make it: he built Netmagic into India's most significant datacenter business, and he's now running Neysa, the only neo cloud in India that Semi Analysis has rated, backed by Blackstone.In this episode of Intelligent Indians, Rajinder Balaraman and Sharad cover:1. Why neo clouds exist as a category, and what hyperscalers structurally can't do for one market 2. The ITQ case study: how to define ROI before infrastructure 3. The three infra mistakes that quietly cost AI teams 10x their compute spend 4. Why power, not GPUs, is the real bottleneck, and why 50% of India's data centre capacity sits in one city 5. What India's AI Mission could actually unlock in the next phaseIf you're building AI infrastructure in India, tracking the space as an investor, or working on policy in the area, this is the operator view. From someone whose entire balance sheet depends on getting the call right.Chapters 00:00 India's AI Moment The Big Picture02:00 Welcome Introducing Sharath of Neysa03:30 How He Built India's First Data Centre with NetMagic06:00 How ChatGPT Sparked the Idea for Neysa18:00 India is 2nd Largest AI Consumer 21:00 50,000 GPUs Today. 2 Million by 2028 24:30 Neysa vs AWS, GCP, Azure 28:00 Why Indian Banks Are Early AI Adopters31:30 Financial Services, Healthcare, Manufacturing 35:00 PhonePe, Perfios, Hungama - Real AI Use Cases in India38:30 Why Most AI Projects Stay in Pilot and Never Reach Production52:30 GPU Obsolescence Risk — How Neysa Manages It55:00 Healthcare, Education, Agriculture — Where Founders Should Build58:30 IIT Bombay and the Bharat Gyan Project1:01:00 Why India Needs to Keep Its AI Talent at Home1:04:00 Why He Refused to Flip the Company Outside India1:06:30 What It Takes to Make India the AI Research Capital of the World

Chirag Taneja built GoKwik into 1 in 5 D2C checkouts in India. But the path there was a series of bets that didn't work, jobs that didn't last, and one moment in 2020 where the suitcases for Canada were packed and waiting in his living room.In Episode 12 of Unstarted, Chirag sits down with Avnish Bajaj to talk about what it actually means to keep tinkering, and when tinkering becomes the thing that holds you back.They get into: 1. What's really important to start a business: idea, capital, or knowledge? 2. Why choosing the right problem matters more than solving any problem 3. The Canada PR that almost happened (and the suitcases that are still in his house) 4. Probabilistic thinking, and why "generate choices" beats "make decisions" 5. Should you have a co-founder you don't already know? 6. How he thinks about ESOPs, the size of the pieUnstarted is a Z47 series. For founders, by founders. New episode every Thursday.Chapters 00:18 From the shop floor to a 1-in-5 D2C company01:35 A banker father, a single parent, and "play with intent"03:15 Why he chose Delhi College over IIT Delhi Civil05:30 The first Asian team to build a Formula race car06:25 The Maruti bet that landed him on the shop floor07:10 Q: Idea, capital, or knowledge — what matters most?08:50 How Bombay Shaving Company became the foundation of GoKwik09:35 The right problem matters more than the right solution10:55 Payments were broken in 2005. They were still broken in 2017.11:50 Pick your game: badminton or golf?13:20 The Canada PR, the suitcases, and the trip that never happened15:25 Generate choices before you make decisions17:50 When the tinkerer turns on himself19:15 Why "what worked then" stops working at 1-to-1022:45 Q: When should you have a co-founder?24:45 Why arranged co-founders are too risky28:30 Closing

Most founders can't tell you the moment they decided to build. Vedang Patel can. He was 23, a finance analyst with IIM seats in hand, and he looked at the MBA-holder sitting next to him in office and asked himself one question: "Is that what I want to do?"The resounding no from every section of his brain, and the ₹5.25 lakh he and his co-founders had between them is what became The Souled Store. ₹1000 crore in revenue, ₹150–200 crore in profit, an NSE bell on the way.In this episode, Avnish and Vedang sit with three questions sent in by aspiring founders:1. How do you actually validate an idea?2. How do you separate polite encouragement from real market demand?Brand or revenue first?3. They also talk about the part most founders won't: the $10 million Vedang got "lost in frameworks" with, the 15-20 CR in personal-guarantee debt, and how exponential's cheque pulled him back.Chapters 00:00 Cold open01:30 From a cupboard of t-shirts to ₹1000 crore03:30 The Sunday-Monday test06:30 "She cried for days"08:30 Risk vs Recklessness11:00 Q: How do I validate my idea?13:30 ₹5.25 lakh, no money for movies15:30 Discounted PMF is false PMF17:00 Q: Polite encouragement or real demand?20:30 The empty chair of the customer24:30 When the $10 million came in27:30 "Maybe I should be inspired by Neera Modi"30:30 Q: Brand or revenue first?32:00 A brand is what the customer expects35:30 Why he never left Bombay38:30 The ESOP wall and the 5-10-85 rule41:30 "Don't overthink. Start."Follow Z47Website - https://www.z47.com/Instagram - / z47.vc LinkedIn - / z47-vc