Founder Thesis

ThePodium.in

Dickens said, it was the best of the times, it was the worst of the times. The words have never been truer.  Best because there’s never been a better time to be an entrepreneur.  Worst because the clutter is mind-numbing. Founder Thesis breaks through the noise to bring you stories of success & failure, grit & struggle, bouquets & brickbats from some of the most brilliant entrepreneurs in India. 

  1. The Two-in-One Startup: Why Anil Goteti Built Scapia as Card + OTA

    4 दिन पहले · वीडियो

    The Two-in-One Startup: Why Anil Goteti Built Scapia as Card + OTA

    Ever wondered how credit card companies actually make money and why your rewards never seem to add up?    Anil Goteti, Founder of Scapia, reveals the hidden business of cards: from interchange fees and breakage profits to why banks spend ₹3,500 acquiring each customer and still wait three years to break even.    The business of cards in India is a multi-billion dollar industry built on economics most consumers never see. Anil Goteti spent eight years at Flipkart mastering consumer behavior before diving into this opaque world with Scapia, a travel-focused credit card that's raised $72 million to challenge how the card business operates.    In this masterclass conversation with host Akshay Datt, Anil deconstructs the entire value chain: how merchant discount rates get split between issuing banks, acquiring banks, and payment networks like Visa and Mastercard, why co-branded card partnerships exist, and how rewards programs are designed so 50% of points expire unused, a profit center called breakage. He exposes why traditional banks charge forex markups of 3-5% on international spending, how customer acquisition costs in the card business have ballooned to ₹3,000-3,500 per customer, and why it takes six to nine years of card usage before banks see real profit.    Anil also shares Scapia's contrarian approach: zero fees, zero forex markup, instant transaction visibility, and making reward redemption so easy it threatens the breakage model competitors rely on. Beyond card economics, this episode explores how Scapia survived when RBI banned their banking partner from issuing new cards, why the business of cards in India is still massively underpenetrated compared to Western markets, and how the convergence of fintech and travel creates dual revenue streams that make their aggressive customer economics sustainable at scale.   What You'll Learn:   👉The complete business model of credit cards: how interchange fees, MDR splits, rewards programs, and interest income create the revenue stack  👉Why banks spend ₹3,000-3,500 acquiring each card customer and still need three years to reach breakeven on that investment  👉How Scapia built a $72M card business with zero fees by monetizing through travel commerce and challenging the breakage profit model  👉The hidden economics of co-branded cards: how fintech companies and banks share risk, revenue, and customer acquisition costs  👉Why India's card business is poised for explosive growth with only 6-7 cards per 100 people versus 300+ in developed markets  👉Real-time product innovation that's reshaping the card business: instant forex conversion, transparent rewards ledgers, and seamless bill payments #CreditCardBusiness #CreditCardEconomics #InterchangeFees #MDRExplained #CardBusinessModel #CreditCardIndustry #CobrandedCards #RewardsPrograms #BreakageProfits #ForexMarkup #CustomerAcquisitionCost #CardUnitEconomics #PaymentNetworks #IndiaFintech #CreditCardStartups #FintechBusinessModel #TravelFintech #CardIssuingBusiness #BankingPartnership #CreditCardRevenue #StartupIndia #FintechIndia #CardPayments #digitalpayments   Disclaimer: The views expressed are those of the speaker, not necessarily the channel

    1 घं॰ 25 मि॰
  2. From Kolkata Streets to US Millionaire: Raution Jaiswal's Inspiring Journey

    24 अक्टू॰ · वीडियो

    From Kolkata Streets to US Millionaire: Raution Jaiswal's Inspiring Journey

    In this episode, Raution Jaiswal reveals how he built InsuredMine from $40,000 in funding to $5 million ARR, competing against giants like Salesforce in the US insurance agency software market.   Starting as an immigrant founder with no insurance background, Raution bootstrapped his way through the brutal early days, moonlighting while building his first product, pivoting from a consumer app to B2B CRM, and eventually capturing 17 of the top 50 insurance agencies in America.    He shared the journey in this candid conversation with host Akshay Datt. Raution breaks down his "Trojan Horse" go-to-market strategy, positioning InsuredMine as a friendly add-on to legacy systems before becoming the central hub of agency operations. He discusses why modern product architecture is his secret weapon, how he's embracing AI to move from automation to prescriptive intelligence, and why he chose to return to India after 18 years in the US to run his American business and give back through his foundation. This is a masterclass in vertical SaaS, capital efficiency, and contrarian company building in a massive but overlooked market.   Key Highlights:   👉How Raution built InsuredMine to $5M ARR with only $40K in funding, competing against Salesforce and legacy insurance software giants  👉The "add-on" Trojan Horse strategy that helps InsuredMine infiltrate agencies and become their central operating system  👉Why modern product architecture is InsuredMine's biggest competitive moat against billion-dollar competitors with legacy tech debt  👉Raution's pivot from B2C insurance wallet app to B2B agency CRM, and how he validated the business with 50 paying customers before quitting his job  👉How InsuredMine is leveraging AI to move from generative features to predictive analytics to prescriptive recommendations for insurance agents  👉Why Raution moved back to India after 18 years in the US to run his American business and launch his foundation for underprivileged students   Chapters:  00:00 - Raution Jaiswal's InsuredMine Origin Story  01:20 - US vs India Insurance Industry Landscape  05:25 - How Insurance Distribution Works in America  10:26 - The Problem InsuredMine Solves for Agencies  14:24 - Building CRM for Insurance Agency Market  17:25 - InsuredMine vs Legacy Agency Management Systems  20:54 - Why VCs Chase InsuredMine Despite Bootstrapping  24:33 - The $40K to $5M ARR Journey  27:24 - Scaling InsuredMine Without Venture Capital  29:03 - Bootstrapping Secrets and Capital Efficiency Playbook  32:09 - Managing US Business from India Strategy  35:41 - Product Evolution from Automation to AI  37:06 - Building World-Class Support at Scale  40:38 - Running Global SaaS Company from Bangalore  42:10 - From Kolkata Streets to US Entrepreneur  47:59 - Paying It Forward Through Education Foundation  50:59 - Building Trust-Based Sales Without VC Money  52:38 - Product Roadmap and AI CRM Vision  56:03 - AI Agents vs Human Insurance Agents   #InsurtechStartup #BootstrappedStartup #VerticalSaaS #InsuranceAgencySoftware #InsuranceCRM #SaaS #StartupIndia #FounderStory #USInsuranceMarket #InsuranceTechnology #AIinInsurance #StartupBootstrapping #IndependentInsuranceAgents #PropertyCasualtyInsurance #SalesforceAlternative #AgencyManagementSystem #InsuranceDistribution #CapitalEfficiency #StartupJourney #B2BSaaS #InsuranceInnovation #StartupPodcast  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

    59 मिनट
  3. How SquadStack is Winning the AI Services Race with Apurv Agrawal

    16 अक्टू॰ · वीडियो

    How SquadStack is Winning the AI Services Race with Apurv Agrawal

    How did Apurv Agrawal transform SquadStack from a data collection startup into India's leading AI-powered BPO generating ₹200+ crore ARR?    This episode reveals the 10-year journey to finding true product-market fit and disrupting India's massive outsourcing industry.  Apurv Agrawal, Co-Founder and CEO of SquadStack, shares the remarkable evolution from Squadrun's gig economy roots to becoming India's most advanced AI-native contact center platform. Starting as a horizontal marketplace for data collection tasks, SquadStack pivoted multiple times before discovering their breakthrough in distributed calling services during COVID-19. What began as weekend experiments became enterprise solutions for major brands like Kotak, Axis Bank, and Bajaj. Apurv reveals how they built a billion-interaction dataset, achieved 95% AI implementation success rates while competitors fail, and created a unique hybrid workforce combining stay-at-home professionals with local agencies across tier-2 and tier-3 cities. He candidly discusses the emotional definition of PMF, why founders can't fight market forces, and his contrarian leadership philosophy of "leading with love" that attracted 19% ex-founders to his team. With voice cloning technology and hyper-personalized customer journeys, SquadStack is reshaping how enterprises handle sales, support, and collections through AI-human collaboration. He shared this transformative journey in this insightful conversation with host Akshay Datt, offering invaluable lessons on market timing, vertical focus, and building sustainable competitive moats in the AI era.   Key insights you'll discover:    👉How Apurv built SquadStack into a ₹200+ crore ARR leader through strategic pivots and market timing  👉Lessons from transitioning from horizontal gig marketplace to vertical AI-BPO specialist serving enterprise customers  👉SquadStack's breakthrough approach to distributed workforce management combining individual professionals with agency partnerships across India  👉Revolutionary AI implementation strategies achieving 95% success rates while industry reports 95% failure rates  👉Deep dive into voice cloning technology and hyper-personalized customer journey automation transforming contact center operations  👉Founder philosophy on high-agency hiring  👉Ubuntu leadership principles, and why love-based culture attracts exceptional entrepreneurial talent #BPOstartups #AIautomation #IndianstartupsPMF #productmarketfit #distributedworkforce #contactcenterAI #voicecloning #enterpriseAI #gigeconomyIndia #BPOdisruption #remoteworkIndia #startupfunding #founderstory #entrepreneurshipIndia #AIimplementation #customerserviceAI #startuppivot  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

    2 घं॰ 4 मि॰
  4. Madhav Bhagat on Leaving Google to Build SpotDraft and Redefine LegalTech

    9 अक्टू॰ · वीडियो

    Madhav Bhagat on Leaving Google to Build SpotDraft and Redefine LegalTech

    How did a Google engineer turn a 90% revenue loss into a $XXM ARR LegalTech success story?    Madhav Bhagat's SpotDraft journey reveals the secrets of AI timing, opinionated product strategy, and global SaaS scaling.   From losing $900K in collections with his NYC nightlife startup DrinkLink to building SpotDraft into a leading contract lifecycle management platform, Madhav Bhagat's entrepreneurial journey is a masterclass in resilience, pivot strategy, and AI-first thinking.    After leaving Google where he helped scale Google Classroom to millions of users, Madhav co-founded SpotDraft with the vision of democratizing legal technology. What started as a tool for freelancers evolved into an enterprise-grade CLM platform that now serves major companies like PhonePe, Airbnb, and Panasonic. The company has achieved double-digit millions in ARR with 60% revenue coming from the US market.   In this candid conversation with host Akshay Datt, Madhav shares how SpotDraft reduced contract implementation times from 2 years to 60 days, leveraged AI cost reductions from $40 to 4 cents per contract, and built an opinionated product that outcompetes giants like icertis and Docusign. He reveals why being early to AI wasn't always an advantage, how non-technical teams now ship code using AI agents, and why focusing on mid-market customers over enterprise deals became their winning strategy. This episode offers invaluable insights for SaaS founders navigating AI adoption, international expansion, and building sustainable competitive advantages in crowded markets.   What you'll learn from this episode:   👉How Madhav built SpotDraft from Google exit to $XXM ARR in LegalTech  👉Why AI timing matters more than being first, and lessons from pre-GPT to post-GPT era  👉SpotDraft's opinionated product strategy that reduced implementation from 2 years to 60 days  👉Secrets of scaling SaaS globally with 60% US revenue from India base  👉How AI agents are transforming organizations and enabling non-technical teams to ship code  👉Why mid-market focus beats enterprise deals in competitive SaaS markets    #legaltech #startups #AIstartups #saas #startupfounder #AI #B2BSaaS #startupjourney #entrepreneurship #indianstartups #founderstory #artificialintelligence    Disclaimer: The views expressed are those of the speaker, not necessarily the channel

    1 घं॰ 46 मि॰
  5. From building Cars24 to creating an AI Native Hiring-Tech Platform: Avinav Nigam (TERN Group)

    25 सित॰ · वीडियो

    From building Cars24 to creating an AI Native Hiring-Tech Platform: Avinav Nigam (TERN Group)

    How did a founder who sold millions of cars and managed billions in real estate become the CEO competing with Palantir for government healthcare contracts?   In this episode, we explore Avinav Nigam's journey from Cars24 to building TERN Group, an AI-powered healthcare recruitment platform solving the global nursing shortage.   Avinav Nigam has built companies worth over $10 billion in enterprise value across three different industries - and his latest venture might be his most ambitious yet. After co-founding Cars24 (India's used car unicorn) and IMMO Capital (a European real estate investment platform), Avinav is now tackling the global healthcare crisis with TERN Group, an AI-native recruitment platform that's already generating ₹250 crores ARR in just 24 months.    What makes this story remarkable isn't just the impressive metrics - 40% month-on-month growth, 88% conversion rates, and competing with enterprise giants like Palantir for government contracts - but the deeply personal mission driving it. After witnessing his colleague's death due to healthcare system failures and seeing talented Indian nurses exploited by unethical recruitment agents, Avinav built a zero-cost platform that charges employers instead of workers.    In this candid conversation with host Akshay Datt, he reveals how AI is revolutionizing healthcare recruitment, why he believes "AI replaces humans who don't use AI," and his vision for becoming the future of human mobility across borders.   Key Highlights   👉How Avinav built three successful companies across cars, real estate, and healthcare - reaching $10B+ enterprise value   👉TERN Group's explosive growth: ₹250 crores ARR, 40% MoM growth, and 88% conversion rates in 24 months  👉Why charging employers instead of healthcare workers created a more profitable and ethical business model   👉 How AI-powered interviews assess 80 nursing specializations across 28 different attributes with human-level accuracy   👉 The global healthcare worker shortage crisis: 15 million workers needed by 2030 and how TERN is solving it   👉 Competing with Palantir and other enterprise giants for billion-dollar government healthcare contracts   #CrossBorderBusiness #AIFirstCompany #HealthcareWorkforce #TalentMobility #EthicalRecruitment #MarketplaceModel #RealEstateInvesting #StartupJourney #FutureOfWork #GlobalTalentShortage #B2GContracts #CompoundedCompanies #DigitalTransformation #InternationalExpansion  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

    1 घं॰ 44 मि॰
  6. 100 AI Unicorns From India: Rahul Agarwalla's Bold Prediction | SenseAI Ventures

    18 सित॰ · वीडियो

    100 AI Unicorns From India: Rahul Agarwalla's Bold Prediction | SenseAI Ventures

    How did a serial entrepreneur who built AI solutions for Toyota and Honda before ChatGPT existed become India's pioneering AI-first venture capitalist?   In this episode, we explore Rahul Agarwalla's bold prediction of 100 AI unicorns emerging from India and his contrarian investment framework that's reshaping the startup ecosystem.   Rahul Agarwalla, Managing Partner at SenseAI Ventures, brings a unique perspective to AI investing - having built and sold three AI/ML companies since 1996, including enterprise solutions used by Fortune 500 giants like Toyota, Honda, and Canon. As India's first AI-focused VC fund, SenseAI has deployed over ₹200 crores across 31 investments, achieving four successful exits while pioneering the shift from AI infrastructure to applications.   In this candid conversation with host Akshay Datt, Rahul reveals his VDAT framework for evaluating AI startups, explains why most "AI wrappers" will fail, and shares controversial takes on outcome-based pricing, founder requirements, and market timing. With AI startups capturing 57.9% of global venture capital in 2025, Rahul's insights on building sustainable AI businesses, navigating the India-US corridor, and identifying the next wave of AI unicorns provide essential guidance for founders and investors riding the AI revolution.   Key Highlights:    👉How Rahul built AI solutions for Toyota and Honda before the ChatGPT era and transitioned to become India's first AI-focused VC   👉The VDAT framework: Why variety, data, architecture, and team are the only metrics that matter when evaluating AI startups   👉Why "AI wrappers" will fail and how to build defensible AI-native applications that OpenAI can't replicate overnight   👉SenseAI's contrarian bet on applications over infrastructure and why outcome-based pricing will replace traditional SaaS models   👉The roadmap to 100 AI unicorns from India and why technical founders are non-negotiable for AI success   👉Market insights on AI tooling opportunities and the shift from foundational models to specialized vertical solutions   Subscribe to the Founder Thesis Podcast for more deep-dive conversations with India's most innovative entrepreneurs and investors. Follow us on LinkedIn for exclusive content, founder insights, and startup ecosystem updates. Visit founderthesis.com to discover more inspiring founder stories and actionable insights from India's leading entrepreneurs.   #AI #venturecapital #AI startups #IndianStartups #StartupEcosystem #AIinIndia #TechEntrepreneur #DeepTech #StartupFunding #AIInvesting #ArtificialIntelligence #MachineLearning #AIVentureCapital #AIApplications #AIInfrastructure #OutcomeBasedPricing #AIWrappers #VDATFramework #DefensibleAI #AIUnicorns  Disclaimer: The views expressed are those of the speaker, not necessarily the channel

    1 घं॰ 40 मि॰
  7. Inside India's AI Cloud Gold Rush | Sharad Sanghi(Neysa) on GPUs, LLMs & Startups

    4 सित॰ · वीडियो

    Inside India's AI Cloud Gold Rush | Sharad Sanghi(Neysa) on GPUs, LLMs & Startups

    "Infrastructure always beats applications."    This is the core philosophy that made Sharad Sanghi one of India's most successful tech entrepreneurs.    While others built consumer apps, he built the data centers that powered them. Now at 56, he's doing it again with AI infrastructure, showing why betting on the plumbing beats betting on the applications.   Sharad Sanghi is a pioneer who built India's technology infrastructure backbone. He founded NetMagic in 1998, India's first data center company, scaling it to ₹3,600 crores revenue and 19 data centers before selling to NTT Communications for $116 million. Under his leadership, the company grew to serve 1,500+ enterprise customers with 300MW of IT capacity. After a successful exit, he's now building his second unicorn - Neysa, an AI cloud platform that raised $50 million in just 6 months. With degrees from IIT Bombay and Columbia University, and experience building the early internet backbone in the US, Sharad brings 30+ years of infrastructure expertise to India's AI revolution.   Key Insights from the Conversation:   👉Infrastructure-First Strategy: Building foundational technology layers creates more defensible businesses than applications  👉Crisis Management: Survived dot-com crash and 2008 financial crisis through disciplined focus on profitability over growth  👉Zero Layoff Philosophy: Maintained employment through multiple economic downturns, proving empathy drives long-term success  👉80-20 Cloud Strategy: Competed with hyperscalers by focusing on 20% of features that 80% of customers actually use  👉AI Market Opportunity: India's transition from labor arbitrage to product innovation creates massive global opportunities  👉Supply-Constrained Business: Data center and AI infrastructure businesses benefit from demand exceeding supply  👉Second Innings Mentality: Starting a new venture at 56 proves age is irrelevant when solving transformative problems  This insightful conversation was conducted by Akshay Datt, serial entrepreneur and host of Founder Thesis, India's leading startup-focused podcast featuring deep conversations with disruptive founders.  #DataCenter #CloudComputing #AIInfrastructure #StartupPodcast #TechEntrepreneur #IndianStartups #AICloud #Infrastructure #Entrepreneurship #TechFounder #CloudAI #DataCenters #AIRevolution #TechLeadership #StartupJourney #IndianTech #AIAdoption #TechInnovation #CloudInfrastructure #aibusinessideas    Disclaimer: The views expressed are those of the speaker, not necessarily the channel

    1 घं॰ 34 मि॰

रेटिंग और समीक्षाएँ

4.6
5 में से
10 रेटिंग

परिचय

Dickens said, it was the best of the times, it was the worst of the times. The words have never been truer.  Best because there’s never been a better time to be an entrepreneur.  Worst because the clutter is mind-numbing. Founder Thesis breaks through the noise to bring you stories of success & failure, grit & struggle, bouquets & brickbats from some of the most brilliant entrepreneurs in India.