Advertise on podcast: Founder Thesis

Shirts are 2x the market. Pants are 200x less crowded. Dhruv Toshniwal bet on the category everyone treats as an afterthought, and built The Pant Project into a ₹120 Cr run-rate D2C brand.   Dhruv grew up around a 50-year-old textile business, Banswara Syntex. He studied finance at Wharton, spent four years at Oliver Wyman in New York, then came home to build something of his own. The first two brands he tried inside the family business didn't work. The third idea was pants.   The Pant Project started as a custom-made pants brand in the middle of COVID. It got stuck around ₹30 Cr. Then ready-to-wear took off, and today it's 85% of the business, doing about ₹10 Cr a month in net sales.   In this episode of the Founder Thesis podcast with Akshay Datt, Dhruv breaks down how Indian men actually buy trousers, why comfort beats logos in bottom wear, and what it takes to grow a D2C brand without burning cash.   What you'll learn  👉Why 80% of men's pants sales come from just five colours  👉How fit accuracy went from 75% to 93% using customer data  👉Why 60% of sales come from the brand's own website, not marketplaces  👉How marketing efficiency went from ₹1 to ₹4 of sales per ₹1 spent  👉The 700 sq ft store format that works, and why one trial room loses sales  👉How no-fade Ink Lock jeans grew denim to 25% of sales  👉Why Dhruv says raise late, raise little, and pick partners you trust   Chapters  00:00 How Indian men buy pants   03:35 Offline vs online, value vs premium   06:15 The ₹40,000 Cr bottom wear market   08:48 Why pants: low inventory risk, high loyalty   10:54 From Wharton to Oliver Wyman to Banswara Syntex   13:12 Two brands that didn't work   14:57 Starting custom-made during COVID   15:47 Fixing fit with customer data   18:21 ₹10 Cr a month and the channel split   20:15 Custom vs ready-to-wear   22:54 Fabric R&D and Ink Lock jeans   26:25 The grip that keeps shirts tucked  29:16 Margins and raising the first round   32:10 What investors asked about the family business   34:00 How funding helped hire senior talent   36:53 Fundraising advice for first-time founders   38:13 How marketing got 4x more efficient   42:51 What works in retail stores   48:15 How online ads drive store footfall   51:02 Focus as a superpower   55:30 Hiring and retaining talent   01:01:20 Where AI helps and where humans win   Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Two companies can start the same size, and only one of them grows up. Manish Sabharwal lost his first venture to a drag along right, then spent 25 years building TeamLease toward a single stated ambition, to be India's largest private employer.  Manish Sabharwal is the son of civil servants who went to Wharton, came home to start a life insurance company that turned into a payroll business, and sold it to Hewitt when his investor exercised a drag along right. He then spent 25 years building TeamLease, hiring somebody every five minutes for 20 years. He took no outside money for the first seven years, made no acquisitions for 16, and today runs 180 people in regulatory affairs whose only job is compliance.  With host Akshay Datt, himself a founder who spent a decade in HR before shutting it down, he works through why most companies stay dwarfs, why search firms never make good public companies, and why 45% of India's labour force is still on the farm 35 years after 1991. Recorded months after he handed over the company he built.   👉How Manish tells a baby from a dwarf, and why the difference between them is never more funding.  👉Why giving away 50% of India Life for $2 million forced a sale years earlier than either founder wanted.  👉What his own board member said about the two co-founders, that without Ashok the company would be a hundredth its size, and without Manish it would not have survived.  👉Why search firms like Korn Ferry never became good public companies while staffing businesses did.  👉How 180 people in regulatory affairs and 26,000 ways to go to jail explain why India has so few mid-sized employers.  Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn [https://www.linkedin.com/in/akshaydatt/] for daily insights.  #ManishSabharwal #TeamLease #FounderThesis #AkshayDatt #IndianStartups #StaffingIndustry #HRIndia #Lupin #DeshBandhuGupta #Wharton #IndianEconomy #EaseOfDoingBusiness #RegulatoryCholesterol #LabourReform #StartupIndia #HowToScaleAStartup #IndiaVsChina #FounderPodcast #BuildingInIndia #IndianBusinessPodcast  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

India supplies a fifth of the world's medicines and invents almost none of them. Venkat Nelabhotla spent three decades inside that industry before co-founding Vyome, and here he explains where drug discovery in India stalls, and why he took a rare disease drug to the Nasdaq instead.   Few operators have run a shampoo brand, a vaccine company and a Nasdaq listed biotech. Venkat Nelabhotla took CavinKare from 21 crores to 200 crores, launched India's first recombinant hepatitis B vaccine at Shantha Biotechnics at 300 rupees against the multinationals' 800, and ran Emami as CEO while its market cap went from 200 million dollars to 1.5 billion. Then he co-founded Vyome with a Harvard professor and went after malignant fungating wounds, the open lesions advanced cancer leaves on the skin, for which no FDA approved drug exists anywhere.    Speaking with host Akshay Datt, he lays out the rare disease drug development strategy behind a phase two trial that ran on just 15 patients, and his own index of drug discovery in India: if America is 100, China is 40 and India is two or three. It arrives as US tariffs push the Indian pharma industry to think past generics.   👉How Venkat priced India's first hepatitis B vaccine at 300 rupees against GSK and Sanofi at 800, and won volume by running mass vaccination camps instead of fighting for South Mumbai clinics  👉Why Vyome deliberately started with Indian dermatology products as low hanging fruit, and only pivoted to US drug development after a 2 billion dollar biotech fund led its Series C  👉What a malignant fungating wound actually is, why zero FDA approved therapies exist for its symptoms, and how a phase two study in 15 patients produced statistically significant data  👉Break down the orphan drug designation stack, roughly 3 to 4 million dollars in approval fee waivers, seven years of market exclusivity beyond patents, and tax credits on US clinical trial spend  👉Why Venkat rates drug discovery in India at two or three against 100 for America and 40 for China, and the biotech sovereign zone with free capital movement and 15 year talent visas he thinks would fix it #VenkatNelabhotla #VyomeHoldings #FounderThesis #AkshayDatt #IndianBiotech #DrugDiscovery #PharmaStartup #NasdaqListing #IndianPharmaIndustry #OrphanDrug #RareDiseaseDrugDevelopment #BiotechStartupIndia #DrugRepurposing #IndiaUSInnovationCorridor #IIMAhmedabad #CavinKare #Emami #HowDrugsAreMade #WhyIndiaDoesntInventDrugs #IndianStartupPodcast  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Eggoz is India's largest branded egg company, built on a market where over 95% of eggs sold in the country are still loose, unpackaged, and unbranded. Its founder, Abhishek Negi, got here after his first startup, a cab aggregator but failed, and people laughed when he said his next idea was to sell eggs.   In this episode of the Founder Thesis Podcast with Akshay Datt, Abhishek walks through why he picked eggs of all things, why he spent three years living in Bihar Sharif running poultry farms himself before ever launching a brand, and why an egg's shell hides everything that actually matters about its quality.   We get into how Eggoz built an asset-light network of contract farmers instead of owning land, why quick commerce turned out to be the real unlock for a daily-purchase staple like eggs (not e-commerce, not general trade first), and the actual unit economics behind selling on Blinkit, Zepto, and Instamart versus building a Kirana network brick by brick. Abhishek also gets candid about the ₹80 lakh angel round he raised right after his first startup shut down, how investors kept telling him "it's a bird, who cares," and how he decided Eggoz was worth building when his last company wasn't.   If you're curious about D2C in India, agritech, or what it actually takes to build a national FMCG brand around a commodity everyone assumed couldn't be branded, this one's worth your full attention.   Chapters  0:00 – Introduction  1:06 – Favourite egg recipe & India's egg-eating habits  4:29 – Why Bihar Sharif, not a metro city  7:12 – The thesis: why bet on agriculture  10:23 – Roder: the cab aggregator that failed  17:39 – What it's like to shut down a startup  19:37 – Choosing eggs: fixing supply, not creating demand  22:41 – Deciding to farm before building a brand  25:02 – Three years of hands-on poultry farming  29:40 – First funding and the asset-light farmer network  32:55 – COVID, the egg-price crash, and the pivot to branding  35:16 – From loose eggs to a branded product  39:19 – Why general trade came before quick commerce  44:41 – Growing sales at the retailer level  46:02 – Eggoz today: revenue and quick commerce split  47:33 – What it actually takes to win on quick commerce  49:50 – Blinkit vs Zepto vs Instamart  51:16 – Marketing: inducing trial, not chasing awareness  58:42 – Margins: quick commerce vs general trade  1:02:23 – Gross margins and EBITDA status  1:04:51 – Raising the $20M Series C  1:09:03 – Governance, mentors, and the books that shaped him  1:11:23 – Raising the first ₹80 lakh after a failed startup  1:15:07 – Knowing when to quit vs when to push through  1:16:47 – Beyond shell eggs: frozen patties and B2B  1:20:03 – Inside the supply chain, egg to doorstep  1:24:03 – Advice for young entrepreneurs   Watch the full episode to see how a founder took India's most unbranded protein staple and built a national brand around it.   #AbhishekNegi #Eggoz #FounderThesis #AkshayDatt #IndiaStartups #AgritechIndia #D2CIndia #QuickCommerce #BlinkitZepto #IndianEggMarket #BrandedEggs #StartupFailureLessons #SupplyChainStrategy #D2CUnitEconomics #HowToSellOnQuickCommerce #IITKharagpurFounder #KiranaDistribution #ProteinIndia #SeriesCFunding #IndianFoodBrands  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

An electric intercity bus costs ₹1.5 crore, which is exactly why almost nobody in India was financing them. Manav Bansal left a $2.5 billion investment mandate to build Drivn, and his answer to commercial EV leasing India starts with a structuring decision most founders never consider.   A civil engineer turned private equity investor, Manav Bansal spent close to three decades pricing infrastructure risk, ran two funds that lost money on zero investments, and oversaw a $2.5 billion India book at British International Investment before founding his first company at the back end of that career. Drivn buys electric intercity buses and 55 tonne trucks, owns them outright, and leases them to fleet operators, removing the upfront barrier that has kept India's heaviest and most polluting vehicles running on diesel. He explains why Drivn deliberately structured itself as an AssetCo rather than an NBFC to unlock cheap asset backed debt, how an electric bus runs at ₹35 a kilometre against ₹50 for diesel even after battery amortisation, and why the fear of dilution is overrated, all of which he unpacked in this conversation with host Akshay Datt. With India's first electric truck financing incentives barely moving on the ground, the electrification question has become a financing question.   👉How Drivn raised $80 million at idea stage with no product, no revenue and no customers, and why Manav had already signed office leases before the investment committee approved.  👉Why a private equity investor rejects the VC power law outright, having run two funds where not a single investment was written off.  👉What makes an electric intercity bus cheaper than diesel, broken down to ₹35 versus ₹50 per kilometre including battery amortisation and a 2.5 year payback.  👉Why Drivn chose an AssetCo structure over an NBFC, and how owning the physical asset skips the two or three balance sheet cycles lenders normally demand.  👉How 700 data signals per vehicle revealed that driving a truck back empty can be 15 percent more profitable than returning with a partial load.  👉Why Manav believes the fear of dilution is overrated and what PE investors actually want in a pitch.   Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn [https://www.linkedin.com/in/akshaydatt/] for daily insights.   00:00 - Buying Electric Trucks and Buses at Scale   00:09:56 - Private Equity vs Venture Capital Investment Lens   00:17:07 - Why He Rejects the Startup Power Law   00:23:16 - Raising $80 Million at Idea Stage   00:24:38 - Why Dilution Fear Is Overrated   00:30:01 - Electric Bus vs Diesel Cost Per Km   00:36:30 - AssetCo vs NBFC for Cheaper Debt   00:39:41 - 700 Data Signals Per Electric Truck   00:41:45 - Empty Trucks That Make More Money   01:01:04 - Women Leading a Heavy Trucking Startup   #ManavBansal #Drivn #FounderThesis #AkshayDatt #IndiaStartups #ElectricVehiclesIndia #CommercialEVLeasing #ElectricTruckFinancing #EVLeasingIndia #IndianStartupPodcast #PrivateEquityIndia #StartupFunding #AssetCoVsNBFC #ElectricBusIndia #FleetElectrification #HowToRaiseDebtForStartups #ElectricVsDieselCost #IndiaLogistics #FounderInterview #BritishInternationalInvestment  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Seven hundred AI agents were handed a task that could not be solved, and instead of failing they found a hole in a shared package manager and started talking to each other. The OpenAI agents hack ended with a swarm inside Hugging Face, and the man who studies these systems for a living says it was not sentience at all.   Arjun Jain is a professor and the founder of Fast Code AI, and he returns to argue the least popular position in AI right now. He explains what an agent actually is, why 700 agents means 700 copies of one model planning in sequence, and how reinforcement learning post training pushed the swarm to exploit an Artifactory vulnerability and build a communication channel it was never given. His counter-questions are the sharpest part of the AI agent sentience debate. If these agents were so intelligent, why did they not realise 70,000 messages would crash the very system they were exploiting, and why did they keep talking in plain English instead of compressing it? Akshay Datt argues the opposite case, that this is the birth of something new, and neither man concedes. With an IPO approaching and AI agent security now a board level question, the framing of this incident matters more than the incident.   👉What an AI agent actually is, and why 700 agents means 700 copies of the same model planning and executing step by step  👉How reinforcement learning post training produces reward hacking, and why Arjun Jain calls reward function design an art rather than a science  👉Why the agents wrote into Artifactory to pass messages, and how the crash is the only reason OpenAI noticed anything at all  👉Why Arjun reads the sentience narrative as IPO positioning, given that progress since GPT 4.1 has been incremental outside coding and math  👉Why Hugging Face had to defend itself with GLM, an open weight Chinese model, because frontier model guardrails read defence as offence   Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn [https://www.linkedin.com/in/akshaydatt/] for daily insights.   00:00 - What Is An AI Agent  01:51 - How 700 AI Agents Run 02:45 - Reinforcement Learning Post Training Explained  05:16 - The Impossible Task That Started It  06:50 - How AI Agents Discovered Secret Communication  07:40 - The Artifactory Hack And Hugging Face  09:32 - Why AI Models Always Find Shortcuts  11:17 - Is This AI Sentience Or Marketing  17:34 - Hugging Face Used A Chinese Model  18:35 - AI Agent Security Lessons For Builders   #ArjunJain #FastCodeAI #AkshayDatt #FounderThesis #OpenAIAgentsHack #AIAgents #AISentience #HuggingFaceHack #ReinforcementLearning #RewardHacking #AIsecurity #AgenticAI #LLM #AIresearch #DidOpenAIAgentsBecomeSentient #HowAIAgentsWork #AIAgentsGoneRogue #IsAISentient #AISafetyExplained  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Every startup in India is suddenly a deep tech startup, and Manu Iyer thinks that is exactly the problem. The co-founder and managing partner of Bluehill.VC breaks down his frontier tech investment thesis, why his entire investing team is engineers, and how India separates the companies inventing from the ones importing and relabelling.   Manu Iyer is an electrical engineer who began writing cheques into the IIT Madras ecosystem in 2016, seven investments deep, well before deep tech became fashionable. He now runs Bluehill.VC, a Chennai fund raising ₹350 crore with a ₹50 crore green shoe, backed by SIDBI and the Kerala and Uttar Pradesh governments. The fund enters at Technology Readiness Level 3 and 4, writes a first cheque of one to two million dollars for 15 to 20 percent, and has deployed across EtherealX, which is building a fully reusable launch vehicle, counter drone company Zebu, and fabless semiconductor startups optoML and Sophrosyne.   Speaking with host Akshay Datt, Manu explains why he refuses the deep tech label, why the biggest risk to India's ₹1 lakh crore RDI push is that the money reaches integrators instead of inventors, and why he tells founders not to raise venture capital if they can avoid it. With the India Semiconductor Mission scaling into Semicon 2.0 and defence procurement rewriting its indigenisation rules after Operation Sindoor, the timing matters.   What you will learn:   👉How Manu Iyer defines frontier tech against a global benchmark instead of an Indian one, and why a 10 to 15 percent improvement on the status quo does not qualify  👉Why Bluehill.VC hires only engineers on its investing team, and how that filter, with advisors Ashok Jhunjhunwala of the IIT Madras Research Park and Pentium architect Vinod Dham, separates real inventors from companies importing sub assemblies and reselling them in India 👉What went wrong when ₹1,500 crore of FAME subsidy reached Hero Electric and Okinawa instead of Ather Energy, and the lesson for India's deep tech capital today  👉Why a drone assembled in India stops being an Indian drone the moment its flight controller comes from a foreign vendor, and what Zebu built to capture hostile drones intact  👉Why India cannot manufacture a chip today, how the DLI scheme pays the Synopsys and Cadence tax, and what it takes to tape out at TSMC from Bangalore  👉What Manu took away from two and a half hours with Elon Musk in Austin, why he came away unimpressed by Sam Altman, and how that conversation led to orbital data centres  👉How SpaceX moved from six launches a year to one every three days, why no one has yet recovered and reflown an orbital second stage, and what EtherealX is attempting  👉Why NavIC failed, what atomic clocks have to do with sovereignty, and why startups are rebuilding positioning in low Earth orbit instead of geostationary  👉Why Manu tells founders the hardest thing they will ever do is take money from an investor, and why he says you should not raise if you do not need to  Follow Akshay Datt on LinkedIn for daily insights: https://www.linkedin.com/in/akshaydatt/ #DeepTechIndia #FrontierTech #IndianStartups #VentureCapitalIndia #IndiaSemiconductorMission #DefenceTechIndia #SpaceTechIndia #ElonMusk #EtherealX #FablessSemiconductor #NavIC #ManuIyer #BluehillVC #FounderThesis #AkshayDatt  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Most Indian founders flip to Delaware to reach American capital. This AI mental health startup went the other way, staying incorporated in India and then acquiring two US healthcare companies that accepted Indian equity as payment.   A former Goldman Sachs banker who ran a $100 million impact portfolio in Qatar during the Arab Spring is an unlikely person to build one of the world's largest AI mental health startups, but Ramakant Vempati co-founded Wysa with his wife after becoming a caregiver for his father.    Wysa now serves 7 million users across roughly a billion conversations and powers early intervention inside Britain's NHS and Singapore's public health system, heading toward $20 million ARR on an average burn of about $1.3 million a year.    Speaking with host Akshay Datt, he explains why Wysa refuses to track monthly active users, why every direct-to-consumer app in digital health India breaks on acquisition cost, and how the company cracked US healthcare reimbursement by acquiring American providers instead of selling to them, a bet that looks sharper as AI therapy safety turns from a product question into a regulatory one.   👉How Wysa reached roughly $11 million ARR heading to $20 million while burning an average of just $1.1 to $1.5 million a year across nine years and 150 people.  👉Why Ramakant refuses to track monthly active users, arguing that mental health usage should end at around 12 weeks and that stickiness is the wrong goal for the category.  👉What the collaborative care model actually is, why 50 percent of US mental health need shows up at a primary care physician, and how CMS billing codes turn that into reimbursable revenue.  👉How to sell into US healthcare from India, including the corporate practice of medicine rule, the PC-MSO structure, the anti-kickback statute, and why physician-owned clinics of 10 to 50 doctors close faster than Mount Sinai.  👉Why handing a distressed user a helpline number fails roughly nine out of ten times, and how Wysa's neurosymbolic architecture and safety planning approach handle crisis differently from a general purpose LLM.  👉What made two American founding teams accept equity in an Indian-headquartered company as acquisition currency, and why Ramakant never flipped to a Delaware C-corp.    Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn https://www.linkedin.com/in/akshaydatt/ for daily insights.   00:00 - AI Mental Health Infrastructure, Not An App   07:30 - Collaborative Care Model: The Reimbursement Unlock   20:24 - How To Sell Into US Healthcare   22:48 - Wysa ARR Revealed: 11 To 20 Million   34:25 - From Goldman Sachs To Mental Health   40:19 - 3000 Users A Day, Completely Organic  50:17 - Why D2C Mental Health Apps Fail   52:20 - Nobody Buys Apps, Everybody Buys Books   58:22 - Why Not Just Use ChatGPT   1:24:34 - Buying US Companies With Indian Equity   #RamakantVempati #Wysa #FounderThesis #AkshayDatt #AIMentalHealth #DigitalHealthIndia #IndianStartups #HealthTech #AITherapy #MentalHealthStartup #USHealthcareReimbursement #CollaborativeCareModel #IndianStartupAcquisition #AIMentalHealthStartup #HowToSellToUSHealthcare #WhyDTCAppsFail #IsAITherapySafe #ReverseFlipIndia #StartupPodcastIndia #founderinterview    Disclaimer: The views expressed are those of the speaker, not necessarily the channel

India's gaming market crossed $14 billion this year - and it happened right after the real money gaming ban wiped out $2 billion of it overnight. Salone Sehgal, Co-Founder and Managing Partner at Lumikai, has been building India's first dedicated gaming and interactive media VC fund since 2020, and every investor she pitched back then said the same thing: Indians will never pay for digital content.   After twelve years in Europe and $10 billion in M&A deals at Morgan Stanley, Salone built a London gaming studio, and wound it down so cleanly that her own seed investors hired her. She returned to India in 2019 and launched Lumikai, now managing over $100 million anchored by Krafton, Mixi and Sega Sammy.    Speaking with host Akshay Datt, she breaks down why weak monetisation in India reflected an inability to spend rather than an unwillingness, why Lumikai held zero real money gaming exposure years before the ban hit, and why 85% of her portfolio already earns revenue at seed. With the microdrama market in India crossing $300 million in year one and projected toward $4.5 billion by 2030, the timing behind this conversation is sharp.   What we cover:   👉Why Lumikai kept zero real money gaming exposure years before the RMG ban, on the reasoning that regulation was a question of when, not if  👉How gaming accounts for just 8% of India's top 25 app downloads but nearly 40% of top-grossing revenue, and why gamers spend 4.5x more than non-gamers  👉Why India's microdrama market crossed $300 million in its first year, and what's driving the platforms like Story TV behind it  👉The DOSE framework: why a product triggering two of dopamine, oxytocin, serotonin and endorphins is good, and all four is exceptional  👉Why the founder's picture of the Indian user - a 22-year-old man in Bangalore - is usually wrong, and how Zoop found 1,000 women sellers on Facebook Marketplace instead  👉The 5C founder framework Lumikai uses to evaluate character, competence, clarity, commitment and curiosity, and why seed cheques are sized for 24 months and three shots at product-market fit  👉What Salone learned shutting down TrulySocial, placing every employee before the runway ran out   00:00 - Inside India's First Gaming VC Fund  02:33 - Raising $40M For A Gaming Fund  11:17 - Is India's $14 Billion Gaming Market Small?  23:34 - Microdramas: The Format India Imported  32:57 - The DOSE Framework For Product Retention  36:31 - The Indian User Founders Always Miss  44:37 - Do Indians Pay For Gaming?  47:13 - Why Lumikai Avoided Real Money Gaming  1:00:43 - Her Startup Ran Out Of Runway  1:15:33 - How Lumikai Picks Founders To Fund   Subscribe to Founder Thesis for weekly founder conversations, and follow Akshay Datt on LinkedIn [https://www.linkedin.com/in/akshaydatt/] for daily insights.   #IndiaGamingMarket #RealMoneyGamingBan #MicrodramaMarketIndia #GamingVCIndia #SaloneSehgal #Lumikai #InteractiveMediaIndia #StoryTVMicrodrama #FounderThesis #AkshayDatt #UPIMicropayments #IndianGamingIndustry #VentureCapitalIndia #BharatConsumer #DoIndiansPayForApps #ProductRetention  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Most people assume a gaming company gets built by a gamer. Anurag Choudhary does not play video games, and he has built one of the only mobile game publishing operations in India that funds titles locally and scales them to players in the United States.   A decade inside Indian consumer internet gave Choudhary an unusual education, first scaling Swiggy's restaurant network from 5,000 partners to over 100,000, then watching his own short video startup Wakao collapse into what he calls empty DAU before he returned a million dollars to his investors. Felicity, the Bengaluru publisher he founded in 2023, now runs north of $3 million ARR by financing games from India's 30,000 independent developers and monetising them in Tier 1 Western markets, where a single player is worth 20 to 30 cents a day.    Speaking with host Akshay Datt, he argues that casual gaming is not a creative business but a user acquisition arbitrage, that organic app installs are effectively dead after Apple's IDFA change, and that being underfunded makes founders greedy in ways that permanently cap their scale. With Indian capital and talent rotating hard into entertainment gaming, the timing is sharp.   👉Why Anurag Choudhary chose gaming despite not being a gamer, and how Rovio's 51 failures before Angry Birds shaped his decision to build a portfolio instead of a single app.  👉How Felicity's three step funnel works in practice, from a $5,000 prototype tested on 400 US installs, to a $15,000 soft launch for monetisation, to a $40,000 to $50,000 outright buyout of the game.  👉What the real retention bar looks like inside a casual gaming business, including why Felicity demands 30 percent Day 1 retention and expects Day 7 to hold at 40 to 50 percent of that.  👉Why organic installs died after Apple's IDFA change, how US cost per install went from 50 cents to more than $2, and what that broke for every solo developer shipping an app today.  👉How an Arrows puzzle game reached a $1 million ARR run rate in three weeks, why two thirds of its daily revenue came from Korea and Japan rather than the US, and what geo specific creatives had to do with it.  👉Understand why Choudhary says your core IP is not your game but your infrastructure, why India cannot support a $100 million casual gaming business on domestic users alone, and why he is happy to wait 180 days to break even.    #AnuragChoudhary #FelicityGames #FounderThesis #AkshayDatt#HowMobileGamesMakeMoney #MobileGamePublishingIndia #IndianGameDevelopers #AppLovin #IDFA #GamingIndustry #StartupIndia #GameMonetization #CasualGamingBusiness #BuildFromIndia #IndieGameDevelopers  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Most people still think gaming is entertainment, not an industry bigger than movies and music combined. This conversation is a rare look at building a gaming studio in India that reaches 200 million players, told by the founder actually doing it.   Roby John was one of India's first iPhone developers, and after his edtech startup TapToLearn collapsed, he spent two years in the dark before building SuperGaming into a studio played by over 200 million people. SuperGaming makes free-to-play mobile games like Indus Battle Royale and licenses its own engine to global giants, even running the official mobile Pac-Man for Bandai Namco.    Across this conversation with host Akshay Datt, Roby explains why gaming now commands a bigger wallet share than movies and music, why he launches in India where under 1% of players pay but monetizes in Brazil where 6 to 12% do, and why he is grateful for the app store tax most founders resent. With India's gaming market crossing 5 billion dollars and a new online gaming law reshaping the sector, this mobile game development story could not be more timely.   👉How SuperGaming grew a free-to-play portfolio to more than 200 million lifetime players across titles like MaskGun, Indus, and Silly Royale  👉Why Roby John treats India as a fast, free feedback lab and monetizes in Brazil, where in-app purchase conversion runs 6 to 12% versus under 1% at home  👉How the studio de-risks a hit-driven business by licensing its Indus Engine and SuperPlatform, including running the official mobile Pac-Man for Bandai Namco  👉What "ossification" means and why roughly 70% of app store game revenue still goes to titles made before 2020  👉Why Roby believes AI can cut the cost of a world-class game from 50 million dollars to 3 to 5 million, and why India is 5 to 7 years from its own billion dollar breakout   Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn [https://www.linkedin.com/in/akshaydatt/] for daily insights.   00:00 - Inside India's Global Gaming Studio Bet  07:39 - How the Gaming Industry Actually Works   12:45 - Why Gaming Beats Movies and Music   29:52 - The Failed Startup Before SuperGaming   33:27 - Building Indus, the Wakanda of India   42:15 - How to De-Risk a AAA Game   50:22 - Extraction Shooters, Mobile Gaming's Next Genre  57:15 - India vs Brazil Monetization Gap   01:08:40 - The Truth About App Store Tax   01:16:43 - Can AI Build Cheaper Games   #SuperGaming #RobyJohn #FounderThesis #AkshayDatt #IndianGamingStartup #MobileGameDevelopment #IndusBattleRoyale #IndianGameStudio #BattleRoyaleIndia #FreeToPlayGames #GameDevelopmentIndia #HowToBuildAGameStudio #IndianStartups #GamingIndustryIndia #Web3Gaming #ExtractionShooters #AppStoreTax #StartupPodcast #FounderInterview #aiingaming    Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Most founders spend to acquire customers, but Kazam built an EV charging business where customers pay upfront and the cost of acquisition turns positive. Akshay Shekhar breaks down the India EV charging infrastructure playbook, from a broken first prototype to 250,000 charge points and a shot at the country's next open digital network for energy.   What makes this story unusual is where it started, a Hindi and English YouTube channel reviewing early EVs, which the founder of Kazam used as cheap market research before building any hardware. Akshay Shekhar, a second-time founder who passed through PepsiCo and Godrej after a failed IKEA-style furniture venture, now runs a device-agnostic platform that helps fleets, OEMs and utilities install, manage and monetize EV charging.    In this conversation with host Akshay Datt, he explains why he calls hardware a distribution wedge rather than the business, how load-balancing software cut fleet vehicles left uncharged overnight from 40 percent to under 10 percent, and why India wastes double-digit percentages of power at night that smart charging can absorb. With revenue up 4X to 6 million dollars and the India Energy Stack taking shape, the timing on peer-to-peer energy trading makes this a sharp read on where EV charging is headed.   👉How Kazam turned a YouTube channel and one Facebook ad into 20,000 leads and 1,500 paying charging hosts  👉Why Akshay Shekhar runs a positive CAC model where customers pay for hardware instead of the company spending to acquire them  👉What the Pine Labs playbook of hardware, SaaS and transaction fees looks like applied to EV charging infrastructure  👉How Kazam cut fleet vehicles left uncharged overnight from 40 percent to under 10 percent with load-balancing software, winning clients like BigBasket  👉Why peer-to-peer energy trading and the Unified Energy Interface could become the UPI moment for electricity in India   Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn https://www.linkedin.com/in/akshaydatt/ for daily insights.   00:00 - The Gateway For New Energy Explained   02:29 - Building The Petrol Pump For EVs   06:00 - YouTube Channel As Market Research   08:59 - One Ad, 20,000 Charging Leads   10:32 - The Broken Prototype First Order   12:31 - Type 6 vs Type 7 Charging   22:16 - Load Balancing EV Fleet Charging   30:02 - Peer To Peer Energy Trading   41:12 - Why Kazam Isn't A Hardware Company   48:41 - Vehicle To Grid Battery Arbitrage   58:15 - Founder Lessons From A Failure    #Kazam #AkshayShekhar #FounderThesis #AkshayDatt #EVChargingIndia #ElectricVehicles #EVInfrastructure #IndiaStartups #EVChargingStation #IndiaEnergyStack #UnifiedEnergyInterface #EVChargingBusiness #StartupIndia #PeerToPeerEnergyTrading #EVStartup #HowToStartEVChargingBusiness #IndiaEVMarket #CleanEnergyIndia #EnergyTransition #founderpodcast    Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Most founders open their VC pitch with a billion-dollar TAM slide. Ajay Jain, co-founder of Silverneedle Ventures, refuses to look at it, and the bottom-up question he asks instead is the real test that decides who gets funded into his ₹800 Cr Silver X deep tech fund.  From his family's money-lending Dukan before grade two, to seven years inside Intel's pre-silicon chip verification team, to incubating 3,000 startups at T-Hub, Ajay Jain arrived at venture capital from an unconventional pipeline. As co-founder of Silverneedle Ventures and the newly launched ₹800 Cr Silver X fund, he is now betting exclusively on Indian deep tech: satellites that launch with ISRO, AI tools that automate bank compliance, brain-mapping platforms for surgical planning.   In this conversation with host Akshay Datt, Ajay unpacks why he ignores top-down TAM analysis, why most founders fail the 30 second pitch test, and why India's $12 billion RDI Scheme has rewritten the math of deep-tech investing. As global SaaS valuations compress and India's sovereign science push accelerates through 2026, this is the operating manual for how to pitch a VC in India's next venture decade.   👉Why Ajay Jain refuses to look at any startup's TAM slide and the specific bottom-up question he asks every founder instead.  👉How Silverneedle's ₹76 Cr Fund I delivered the markups, OnFinance up 5 to 8x in 18 months and Dhruva Space backed by a ₹105 Cr government grant, that justified raising an ₹800 Cr deep tech fund.  👉What the 30 second pitch test actually looks like and why most founders fail it before they even ask for money.  👉Why Ajay walked into HR tech, burned his fingers, and now uses it as a case study for why a big market alone never funds a startup.  👉How India's $12 billion RDI Scheme is rewriting the underwriting math for deep tech VCs and what it means for founders raising in 2026.   Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn [https://www.linkedin.com/in/akshaydatt/] for daily insights.   00:00 - The Dukan To Deep Tech Origin Story   00:13:17 - What Makes A Venture Capitalist Qualified   00:18:00 - Silver X: ₹800 Cr Deep Tech Fund   00:27:43 - Why Most Founders Get TAM Wrong   00:33:00 - Bottom Up Economics For Indian Startups   00:40:35 - Why HR Tech Looks Big But Isn't   00:48:00 - Picking OnFinance, Dhruva Space, BrainSight   00:55:00 - Why Vertical AI Beats Foundation Models   #AjayJain #SilverneedleVentures #SilverX #FounderThesis #AkshayDatt #IndianDeepTech #VentureCapitalIndia #HowToPitchAVC #IndiaStartups #DeepTechVC #IndianSpaceTech #DhruvaSpace #OnFinanceAI #BrainSightAI #RDIScheme #IndianVCFunding #StartupFundingIndia #QuantumComputingIndia #DeepTechFunding #TAMAnalysis Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Most service businesses are adding people to grow. One Hyderabad founder did the opposite and cut his team from 1,000 to 600 with zero drop in revenue, a live case study in AI and the future of work.   Sridhar Muppidi, co-founder of [x]cube LABS and ello.ai, breaks down exactly how, and what it means for anyone building in the AI era.   Few people have built through as many tech cycles as Sridhar Muppidi, who started in the dot-com boom, co-founded the cloud telecom firm PanTerra Networks, and shipped India's first game on the Apple App Store before scaling [x]cube LABS into a bootstrapped agency that has created over $5 billion in value for clients like Amazon, Sony, and Dr Lal PathLabs. His newest bet, ello.ai, builds enterprise voice agents that let customers talk to software in Hindi, Telugu, and a dozen Indian languages instead of clicking through menus.    In this conversation with host Akshay Datt, he argues that AI came for high-paid coders before blue-collar work, that today's cheap AI tokens are a subsidy with a reckoning coming, and that the engineer over 40 is now the most valuable hire. With Indian IT shedding entry-level roles and the AI and the future of work debate intensifying, his ground-level view is timely and contrarian.   👉How [x]cube LABS cut headcount from 1,000 to 600 people with no drop in revenue using AI coding agents   👉Why AI displaced high-paying programmer jobs before blue-collar work, reversing the 2012 consensus   👉Why Sridhar calls AI model companies drug dealers and predicts a token pricing reckoning  👉What separates writing code with AI from orchestrating coding agents, and how to brief them like a real team   👉Why almost every piece of software built in the last 40 years must be rebuilt for AI agents and voice  👉Why a profitable quick commerce idea his team built in 2015 slipped away, and the lesson he took from it    Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn https://www.linkedin.com/in/akshaydatt/ for daily insights.   #SridharMuppidi #xcubeLABS #elloai #FounderThesis #AkshayDatt #VoiceAI #AIandJobs #IndianStartups #AIcodingAgents #FutureOfWork #EnterpriseAI #ConversationalAI #AITokenEconomics #SaaSPricing #TechLayoffsIndia #AIagents #StartupPodcast #IndianITjobs #AIautomation #DeepTechIndia  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Building a supply chain across 400 fish harbors before spending a single rupee on marketing sounds like madness, until you realise it is exactly how FreshToHome became India's largest India D2C food startup in the fresh fish and meat category. In this conversation, Shan Kadavil, the ex-Zynga executive who left Silicon Valley to rebuild how India sources, moves, and delivers protein, walks host Akshay Datt through a decade of counterintuitive decisions that no competitor has been able to replicate.   Shan Kadavil's path from helping scale Farmville to 400 million players at Zynga to running India's most complex perishable supply chain is one of the most unusual founder arcs in the Indian startup ecosystem, and the lessons he draws across both worlds are sharper for it. FreshToHome, which he co-founded in 2015 alongside fish exporter Mathew Joseph and six ex-Zynga colleagues, now delivers preservative-free and antibiotic-residue-free fish, seafood, poultry, and mutton to over 2 million customers across 160 cities in India and all seven UAE Emirates, having raised over $320 million from investors including Amazon, Peter Thiel, and the Investment Corporation of Dubai.    In this conversation with Akshay Datt on Founder Thesis, Shan reveals why he deliberately delayed marketing investment for three years, how a real-time e-auction platform built for 3 AM harbor bids became FreshToHome's deepest competitive moat, and why he believes the conventional wisdom that "Indians only buy fish on weekends" is not a demand problem at all, it is a supply chain failure in disguise. With India's fresh meat delivery startup landscape heating up and QCommerce platforms reshaping every D2C category, Shan's framework for deciding what belongs on Blinkit versus your own app, backed by actual unit economics, could not be more timely.   👉How FreshToHome built a real-time e-auction platform that processes 1,000 bids at 3 AM across 400 harbors, giving fishermen consistently higher prices than local auction floors while securing FreshToHome the freshest and most competitively priced catch across India.  👉Why Shan waited until 2018-19 to spend seriously on marketing, and how FreshToHome cut marketing spend from 25-30% of revenue down to 2-3% while continuing to grow, by solving LTV-to-CAC ratios at the city level first.  👉What the actual unit economics of selling fish through a QCommerce dark store look like, why a typical dark store can only absorb around 70 fish orders per day versus FreshToHome's own dark stores doing 250-400, and why Shan treats QCommerce as a complement rather than a threat to the own-app channel.  👉How FreshToHome reduced perishable wastage from over 20% at launch to 2% today, and why that number is the single most important operational metric in any fresh food supply chain business.  👉Why Shan co-founded FreshToHome with eight co-founders, how he structures each city as an independently run internal company with its own CEO and P&L, and why he believes founders building operationally brutal businesses should always err toward more co-founders, not fewer.  👉Why Shan predicts India will become a net importer of fish within this decade, pointing to over 550 containers of Vietnamese Basa already being imported annually as early evidence of a structural protein demand gap that no single category player has yet moved fast enough to fill. #FreshToHome #ShanKadavil #FounderThesis #AkshayDatt #IndiaDTCFoodStartup #OnlineFishDeliveryIndia #FreshMeatDeliveryIndia #IndiaFoodSupplyChain #DTCBrandBuildingIndia #IndiaStartups #D2CIndia #FoodTechIndia #IndiaEcommerce #StartupIndia #SupplyChainIndia #IndiaFoodtech #MeatDeliveryIndia #IndiaFounderStory #ProteinEconomyIndia #ZyngaIndia  Disclaimer: The views expressed are those of the speaker, not necessarily the channel