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

How to Run a Profitable Services Firm in the AI Era | Sridhar Muppidi (ello.ai)

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

From Zero to 400 Harbors: Building FreshToHome's $320M Supply Chain

Most founders chase venture capital like oxygen, but the man who pulled off India's first major dot-com exit built a bootstrapped SaaS company to over $100M in revenue without a single growth round. He also argues that $500 billion of global ad spend is being set on fire every year, and that marketing as we know it is quietly broken. 

The man behind India's first internet portal, Rajesh Jain sold IndiaWorld to Sify for $115 million in 1999, a deal he closed in 15 days at 166 times revenue, just before the dot-com bubble burst. He then spent nearly a decade failing at everything before turning Netcore Cloud into a full-stack MarTech platform now serving 6,500+ brands across 40 countries, helping them retain customers across email, WhatsApp, and AI-driven personalization.   

Across this conversation with host Akshay Datt, Rajesh explains why 90% of marketing budgets go to acquisition while customers quietly churn, why he runs his company like an autocracy rather than a democracy, and how MarTech AI agents and "AI twins" will reshape customer retention marketing. As the AI boom draws constant comparisons to 1999, hearing from a founder who survived one bubble and is now betting on the next makes this especially timely. 

 👉How Rajesh Jain sold IndiaWorld to Sify for a $115 million acquisition in just 15 days, and why timing the exit mattered more than building the business 

👉Why he calls $500 billion of global digital ad spend pure waste, with 90% of marketing budgets going to acquisition and only 10% to retention 

👉What it actually takes to build a bootstrapped SaaS company to $100M+ revenue without VC, and why he says Netcore is "funded by its customers" 

👉How MarTech AI agents, a "Co-Marketer," and consumer "AI twins" will change customer retention marketing over the next few years 

👉Why Rajesh failed at nearly everything for 7 years after his dot-com exit, and the lesson he learned about chasing technology instead of problems  

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 - Born for the Nation: Origin Story  

02:04 - From Civil Engineering to Computers  

05:55 - IIT Bombay to Columbia University  

09:48 - Two Years Inside US Telecom  

13:08 - Returning to India to Build  

14:09 - The Failures Before India Internet Pioneer  

16:02 - The IndiaWorld Idea That Worked  

24:50 - Building India's First Internet Portal 

38:44 - The $115 Million Dot-Com Exit  

49:43 - Why He Never Became a VC  

50:53 - How Netcore Cloud Started  

57:32 - The SMS Business That Got Killed  

01:05:00 - From CPaaS to MarTech Pivot 

01:11:00 - The AdTech Tax Wasting Billions  

01:22:43 - How MarTech AI Agents Work  

01:27:50 - AI Twins and Customer Retention Marketing  

01:35:00 - Bootstrapped SaaS Company With Zero VC  

01:45:49 - Outcome-Based Pricing for MarTech  

02:06:09 - The Man Who Helped Elect a PM  

#RajeshJain #NetcoreCloud #FounderThesis #AkshayDatt #IndiaWorld #Sify #BootstrappedStartup #MarTech #SaaSIndia #IndianStartups #DotComExit #CustomerRetention #AIagents #MarketingAutomation #StartupFounderIndia #HowToBootstrapSaaS #IndiaInternetHistory #B2BSaaS #ProfitableStartup #aiinmarketing   

Disclaimer: The views expressed are those of the speaker, not necessarily the channel

Rajesh Jain (Netcore Cloud) on How to Bootstrap a SaaS Company to $100M Revenue

Most founders chase the billion-customer dream and the unicorn lottery at the same time. This India VC funding strategy conversation dismantles both, as Rajeev Kalambi of Cactus Partners explains why he deliberately refuses the power law, why there is no single Indian market, and how he targets steady returns instead of moonshots.

With 26 years across corporate banking, investment banking, and buy-side fund management, Rajeev Kalambi brings a downside-first discipline rarely heard in venture capital, having lived through three funding cycles in just five years.

At Cactus Partners, the early-growth fund he co-founded, he writes first institutional cheques at Series A into post product-market-fit companies with industry-beating gross margins, deliberately occupying the underfunded gap between crowded seed funds and late-stage private equity.

In this conversation with host Akshay Datt, he argues that India is really three or four economies and only the top 10% truly pays, that premium beverages can never scale because you are effectively shipping water, and that smart investors sell picks and shovels rather than prospecting for AI gold. He also breaks down his 5 Ts framework and why GMV masks the only number that matters, the take rate. As funding stays disciplined and China Plus One reshapes Indian manufacturing, his anti-power-law thesis lands at the right moment.

👉Why Cactus Partners rejects the venture power law and underwrites growth risk instead of mortality risk, targeting consistent returns over unicorn bets

👉How the firm stayed 2x up by 2023 while peers nursed 50 to 70% drawdowns, by holding valuation discipline through the 2021 euphoria

👉What the 5 Ts framework (Team, TAM, Tech, Traction, Transaction) reveals about how a disciplined VC actually screens an early-growth deal

👉Why the "1.4 billion consumer" pitch is a trap and profitable consumer brands must target only the top 10% with the ability and intent to pay

👉How to read a B2B aggregator's real value through take rate, not inflated GMV, and why premium beverages drown in the cost of shipping water

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 Qualifies Someone to Be a VC

02:35 - Buy Side vs Sell Side Explained

05:48 - Inside a Sports and Consumer Fund

08:45 - Why Premium Beverages Cannot Scale India

15:55 - The Consumer Thesis: Targeting India's Top 10%

18:11 - Why This VC Backs Asset-Heavy Manufacturing

25:43 - Avoiding Herd Instinct and AI Hype

28:43 - Underwriting Growth Risk, Not Mortality Risk

38:23 - The 5 Ts Framework for Picking Founders

42:23 - Why the Series A Funding Gap Exists

49:05 - The Anti-Power Law Investment Thesis

01:00 - Picks and Shovels: How to Invest in AI

#FounderThesis #AkshayDatt #RajeevKalambi #CactusPartners #IndiaVCFunding #VentureCapitalIndia #SeriesAFunding #IndianStartups #StartupFunding #PowerLaw #AntiPowerLaw #PicksAndShovels #ChinaPlusOne #IndiaManufacturing #ProductMarketFit #GMVvsTakeRate #VCInvestmentStrategy #HowVCsPickStartups #EarlyGrowthVC #startupvaluation

Disclaimer: The views expressed are those of the speaker, not necessarily the channel

The Series A VC Reshaping Indian Startup Funding | Rajeev Kalambi @ Cactus Partners

Most founders pitch VCs without understanding the math that decides their fate, and Amrit Chandan learned this the hard way after raising $19M for his battery startup Aceleron and losing it to a 24-hour boardroom ultimatum. This conversation breaks down the UK venture capital trap, the cap table mistakes that cost founders their companies, and the playbook he is using to build his next AI startup Lorefully to profitability with zero VC.  

A Forbes 30 Under 30 climate tech founder whose family migrated from India to Kenya to the UK, Amrit Chandan co-founded Aceleron in 2016 to build the world's first serviceable lithium-ion battery, raising over $19M from Toyota Mobility 54, Mercia, and BGF across seven years before being forced out as CEO in June 2022. Aceleron entered administration in September 2023 and was acquired by Pune-based Advik Hi-Tech in April 2024, after which Amrit co-founded Lorefully, an AI knowledge intelligence platform that captures expert conversations at live events. The platform has captured 5.5 million words of expert knowledge in five months, runs with just six people, has taken zero institutional VC, and is on track for £500K in revenue and profitability this quarter.   

In this conversation with host Akshay Datt, Amrit unpacks why UK venture capital structurally takes too much founder equity too early, the 24-hour ultimatum that ended his first company, why first-time hardware founders should license their IP instead of manufacturing, and how a free booth at InstallerSHOW unlocked £400K for the organiser and saved his second startup. The episode lands at a moment when European VC dilution dynamics and the climate tech funding squeeze are pushing more Indian founders to rethink the institutional capital playbook.

  👉How Aceleron raised over $19M from Toyota Mobility 54, Mercia, and BGF to build serviceable lithium-ion batteries that could be repaired instead of thrown away 

👉Why Amrit was given a 24-hour ultimatum to step down as CEO in June 2022, and what happened in the five weeks after when the investor pushing for his removal walked away 

👉What UK venture capital does structurally that takes too much founder equity too early, and why he ended up at 15% ownership before Series B 

👉How a free booth at InstallerSHOW 2025 unlocked over £400,000 in sponsor revenue for the organiser and saved his new company Lorefully 

👉Why first-time hardware founders should license their intellectual property instead of trying to manufacture, based on Amrit's own $19M lesson 

👉How Lorefully captures 5.5 million words of expert knowledge at trade shows using human facilitators and AI, on track for profitability with just six staff  

#AmritChandan [https://www.youtube.com/hashtag/amritchandan] #Lorefully [https://www.youtube.com/hashtag/lorefully] #Aceleron [https://www.youtube.com/hashtag/aceleron] #FounderThesis [https://www.youtube.com/hashtag/founderthesis] #AkshayDatt [https://www.youtube.com/hashtag/akshaydatt] #IndianFounders [https://www.youtube.com/hashtag/indianfounders] #UKStartups [https://www.youtube.com/hashtag/ukstartups] #ClimateTech [https://www.youtube.com/hashtag/climatetech] #BatteryStartup [https://www.youtube.com/hashtag/batterystartup] #VentureCapital [https://www.youtube.com/hashtag/venturecapital] #CapTable [https://www.youtube.com/hashtag/captable] #FounderDilution [https://www.youtube.com/hashtag/founderdilution] #HardwareStartups [https://www.youtube.com/hashtag/hardwarestartups] #AIstartups [https://www.youtube.com/hashtag/aistartups]

Disclaimer: The views expressed are those of the speaker, not necessarily the channel





Is Venture Capital Built to Break Founders - Amrit Chandan @ Lorefully

Most Indian AI startups are racing to build chatbots for Indic languages. Dr. Siddharth Panwar took a different bet, building India's first non-invasive brain-computer interface on 60,000 hours of EEG data that hospitals were about to throw away.  

Trained at Stanford as an electrical engineer and forged at IIT Delhi as a brain scientist, Dr. Siddharth Panwar spent ten years sitting outside neurologists' rooms collecting EEG data that nobody else wanted. That patience became NeuroDx.ai, the deeptech startup behind MANAS-1, India's first 400-million-parameter brain foundation model trained on 60,000 hours of EEG signals from over 25,000 patients.  

In conversation with host Akshay Datt, Siddharth explains why the West gave up on EEG too soon, why a non-invasive brain-computer interface can capture 80 percent of Neuralink's value at a fraction of the cost, and why Indian VCs still struggle to underwrite frontier scientific risk in AI neurodiagnostics. Selected as one of twelve IndiaAI Mission sovereign AI champions, NeuroDx is the only physiological foundation model in the cohort, arriving exactly as Indian deeptech enters its sovereign AI moment.  

👉How Siddharth Panwar built India's first 400-million-parameter brain foundation model, MANAS-1, with zero institutional VC on the cap table 

👉Why the Western medical system gave up on EEG and how AI foundation models are bringing it back into clinical relevance 

👉What separates MANAS-1 from Neuralink, and why a non-invasive brain-computer interface scales to populations that brain surgery never can 

👉How NeuroDx aggregated 60,000 hours of EEG data from 25,000 patients by salvaging signals that hospitals were deleting every month 

👉Why being selected as 1 of 12 IndiaAI Mission sovereign AI champions changes the financial and policy economics of building deeptech in India  

Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn [https://www.linkedin.com/in/akshay-datt] for daily insights.  

00:00 - Introduction  

00:02:14 - What Brain Computer Interface Really Means  

00:03:09 - Non-Invasive Alternative to Neuralink  

00:04:11 - EEG: India's Forgotten Diagnostic Edge  

00:13:36 - EEG as the Language of Brain  

00:16:19 - MANAS-1: India's Brain Foundation Model  

00:21:02 - 400 Million Parameters Explained Simply  

00:30:09 - Inside the IndiaAI Mission Selection  

00:35:00 - Bootstrapping a Frontier AI Lab  

00:49:19 - Why $10M is India's Biggest Test  

#NeuroDx #SiddharthPanwar #FounderThesis #AkshayDatt #MANAS1 #BrainComputerInterface #BCI #IndiaAIMission #DeeptechIndia #IndianStartups #Neuralink #EEG #FoundationModels #SovereignAI #AINeurodiagnostics #NonInvasiveBCI #IITMandi #BootstrappedStartup #HealthcareAI #IndianDeeptech 

Disclaimer: The views expressed are those of the speaker, not necessarily the channel

India's Non-Invasive Answer to Elon Musk's Neuralink | Siddharth Panwar @ NeuroDx

Six months before India's first real credit cycle hit, one MSME digital lending founder quietly stopped approving 30% of his eligible borrowers. The full story of how Alok Mittal of Indifi Technologies read a signal that his entire industry missed, in conversation with host Akshay Datt.  

A former venture capitalist who walked away from Canaan Partners to build the unglamorous business of lending to small Indian shops, Alok Mittal has spent a decade proving that 85% of India's MSMEs are not uncreditworthy, the financial system simply cannot tell them apart. Indifi Technologies, which he co-founded in 2015, has disbursed over $497 million across 55,000 businesses in 400 cities, using machine learning that ingests real-time data from partners like Swiggy, Amazon, and BharatPe.   

In this conversation, Alok explains why human underwriters cannot psychologically distinguish a 1% risk from a 5% risk, why his team cut 30% of borrowers in September 2023 while the industry kept growing, and how India's first real credit cycle in a decade is separating disciplined MSME digital lending operators from those who only got lucky during a good cycle.  

👉Why Alok Mittal cut lending to 30% of eligible borrowers in September 2023, six months before the industry recognized a full credit cycle was underway 

👉How Indifi's machine learning models discriminate between 1%, 5%, and 7% default probabilities that human bank underwriters cannot psychologically tell apart 

👉What vintage pool analysis reveals about lending businesses that standard NPA ratios systematically hide during hyper-growth phases 

👉Why Indifi's credit risk escalation during the 2024-25 cycle was 30% versus the industry's 70-80%, and the cultural choices that made the difference 

👉How API integrations with Swiggy, Amazon, and BharatPe replaced the need for physical bank branches in MSME credit underwriting 

👉Why only 15% of India's 60 million MSMEs have formal credit access today, and what alternative credit scoring will actually need to fix that  

Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn [https://www.linkedin.com/in/akshay-datt] for daily insights. 

00:00 - The Lending Business VCs Misjudge  

00:06:40 - Why NPA Metrics Always Lie 

00:12:00 - The 1% vs 5% Risk Problem 

00:25:00 - Lending to India's Forgotten 85%  

00:33:30 - Why He Left Venture Capital 

00:43:00 - The Digital Lending Wars 

00:49:55 - India's First Real Credit Cycle  

01:02:00 - Pressing the Red Button 

01:13:00 - Building a Risk Culture 

#AlokMittal #Indifi #IndifiTechnologies #FounderThesis #AkshayDatt #MSMELending #DigitalLendingIndia #IndiaFintech #NBFC #CreditCycle #IndianStartups #Fintech #SMEFinance #AlternativeCreditScoring #AIUnderwriting #IndiaCreditGap #FintechFounders #StartupIndia #EcosystemLending #LendingTech 

Disclaimer: The views expressed are those of the speaker, not necessarily the channel

What VCs Miss When Evaluating Lending Startups: Alok Mittal

Alekh Sanghera spent his early career as a digital payments consultant at MicroSave, working on Bill Gates Foundation and World Bank rural finance mandates, before realising that the smallholder farmer's biggest problem was not credit but market access.   

The Indian agritech startup he co-founded, FarMart, is now the country's largest output linkage platform, supplying Britannia, Reliance Retail, ITC, biofuel distillers, and animal feed giants while running a zero-inventory, asset-light business model.  

In this conversation with host Akshay Datt, Sanghera explains why most B2B marketplaces fail by chasing the trade spread, how FarMart pays farmers same-day by securitising enterprise invoices through SEBI-registered NBFCs, and why the village retailer is infrastructure rather than friction in the Indian food supply chain. The timing matters: India just hit 20 percent ethanol blending, maize and broken rice are now the largest grain feedstocks, and capital-efficient agritech models are the only ones still attracting growth funding in 2026.  

👉How FarMart hit a ₹3,600 crore revenue run rate without owning any warehouses, trucks, or inventory while running on a team of just 320 people. 

👉Why every Indian B2B commodity startup that tries to make money on the trade spread eventually destroys either its farmers or its buyers, and how FarMart instead monetises a stack of platform, logistics, and finance origination fees. 

👉What forced FarMart to pivot four times, from an Uber for tractors to a rural BNPL card to a retailer SaaS, before landing on the output linkage model that powers its current scale. 

👉How FarMart turned 14,000 village retailers into a decentralised procurement force and why Sanghera refuses to disintermediate them despite a decade of startup orthodoxy that says otherwise. 

👉Why the ethanol blending mandate, the AgriStack rollout, and the Bharat Mart trade corridor are quietly creating a multi-billion dollar pipeline for grain-based Indian agritech founders.  

Subscribe to Founder Thesis for weekly founder conversations and follow Akshay Datt on LinkedIn for daily insights.  

00:00 - Inside India's Largest Agritech Output Platform  

03:00 - FarMart's Four Big Buyer Industries  

09:35 - The $400M Asset-Light Run Rate  

16:45 - Why Mandis Fail Indian Smallholder Farmers  

28:00 - Same-Day Payments Through Invoice Securitisation  

36:00 - The Zero-Inventory Agritech Playbook  

43:00 - Why Trading Spreads Never Make Money  

1:07:00 - From Failed Tractor App to Profit 

1:19:00 - FarMart's Public Listing Roadmap  

#FarMart #AlekhSanghera #FounderThesis #AkshayDatt #IndianAgritech #AgritechIndia #B2BMarketplace #AssetLightStartup #IndianStartups #FoodSupplyChainIndia #IndianAgriculture #RuralEntrepreneurship #StartupPivot #EthanolBlendingIndia #AgritechFunding #SmallholderFarmers #IndianFoodIndustry #AgritechFounder #StartupIndia #B2BSupplyChain  

Disclaimer: The views expressed are those of the speaker, not necessarily the channel

How to Build a Profitable B2B Marketplace in India: FarMart

When every networking engineer in Silicon Valley said TCP/IP was wrong for Ethernet, one IIT graduate from India ignored the consensus, built the internet's physical backbone, and still got passed over for CEO twice because of his ethnicity.   

Kanwal Rekhi, co-founder of TiE and the first Indian founder to list a venture-backed company on NASDAQ, joins host Akshay Datt to unpack the contrarian bets, the ruthless founder-evaluation framework, and his central provocation for the Indian startup ecosystem: India does not need more unicorns, it needs 10 million entrepreneurs.  Born in what is now Pakistan in 1945, Kanwal Rekhi arrived in the US in 1967 as part of India's first IIT emigrant wave, survived three layoffs, and co-founded Excelan, the first company to commercialise Ethernet and TCP/IP, taking it public on NASDAQ in 1987 with $22M in revenue and 70-90% gross margins. He later served as EVP and CTO at Novell when it reached $12 billion in market cap as the world's second-largest software company, before co-founding TiE, today the world's largest entrepreneur network.  

In this conversation with host Akshay Datt, Rekhi reveals why he ignores TAM entirely when evaluating founders, how one pricing decision transformed Excelan from a near-failing startup into a near-90% gross margin business, and why the Indian startup ecosystem is building for the wrong 40% of the country. He also traces how his decision to open-source Unix at Novell seeded the ecosystem that scaled Infosys, TCS, and Wipro, and describes how Silicon Valley Quad backs first-time founders with $3M seed rounds and deep mentorship.  

👉How Kanwal Rekhi built the internet's physical backbone by betting on TCP/IP for Ethernet when every competing company went the other direction, a contrarian call he credits as much to preparation as to luck. 

👉Why Kanwal ignores TAM and business plans entirely when evaluating seed-stage founders, and how he filters investments using 10 character-based traits including intellectual honesty, fairness in equity distribution, and revenue-per-employee instinct. 

👉How bundling hardware, software, cables, and a 100% money-back guarantee into a single $14,995 box, priced against Digital's $30,000 comparable solution, transformed Excelan from a struggling startup into a 90% gross margin business almost overnight. 

👉Why the Y2K crisis was not a lucky break for India's IT industry but a structural inevitability, and how Kanwal's own decision to open-source Unix at Novell directly enabled the ecosystem that scaled Infosys, TCS, and Wipro into global companies. 

👉What Silicon Valley Quad's model of $3-3.5M seed rounds for first-time founders actually looks like in practice, why the syndicate targets 25-30% equity, and how the math of 75% failure rates and 40-50x return targets makes the whole model work. 00:00 - Arriving in America with $8  

00:08:36 - Three Layoffs, Silicon Valley Move  

00:12:26 - The TCP/IP Bet Everyone Missed  

00:21:42 - 100 VC Rejections, One Yes  

00:33:12 - $22M IPO: First Indian on NASDAQ  

00:39:21 - Novell, Unix, and CEO Denied Twice  

00:48:14 - How India's IT Industry Got Lucky  

00:53:11 - TiE: 500 Founders Showed Up  

01:07:01 - Silicon Valley Quad's Seed Funding Model  

01:10:37 - The Founder Traits That Predict Failure   

#KanwalRekhi #FounderThesis #AkshayDatt #TiE #Excelan #SiliconValleyQuad #IndianStartups #SeedFunding #VentureCapital #IndianEntrepreneur #StartupIndia #NASDAQFounder #IITFounder #StartupFunding #FounderMindset #IndiaStartupEcosystem #AngelInvesting #startupmentor  

 Disclaimer: The views expressed are those of the speaker, not necessarily the channel

First Indian on NASDAQ: Kanwal Rekhi

Alok Goyal of Stellaris Venture Partners, the $600M fund behind Mamaearth, Whatfix, and Axtria, breaks down 13 years of lessons that every founder pitching VCs needs to hear.  

Alok co-founded Stellaris Venture Partners after a 'Brownian motion' career: a failed startup, eighteen months unemployed after the 2001 NASDAQ crash, and a decade running SAP India before venture found him.   

Today, the $600M fund backs Mamaearth, Whatfix, and Axtria, with over half of all cheques written before a founder has a single line of code. In this conversation with host Akshay Datt on Founder Thesis, Goyal reveals three anti-patterns that catch every VC at some point: market size estimates are almost always wrong; over-indexing on the market over the founder kills returns; and fearing Google or SAP will crush a startup is rarely justified, because incumbents have too much baggage to move. With agentic AI replacing entire job functions and a new US-India trade deal opening corridors for Indian software, this masterclass on early stage investing in India arrives at exactly the right moment.  

👉Why Alok Goyal stopped writing cheques for an entire year in 2024, and what he concluded about the AI shift that rewrote the Stellaris investment thesis. 

👉Why three predictable anti-patterns catch every VC at some point, from misjudging market size to fearing incumbents like Google will execute on obvious threats. 

👉Why the shift from AI co-pilot to autonomous agent changes software pricing from per-seat to per-outcome, and what every Indian SaaS founder must understand. 

👉What the Axtria story, where 22 employees used personal savings to buy out a top investor, reveals about the leadership quality Alok Goyal prizes above all else. 

👉Why cold emails have never, in 13 years and over 4,000 companies seen, produced a single Stellaris Venture Partners investment, and what founders must do to access India VC funding instead.  

Subscribe to Founder Thesis for weekly conversations with India's most consequential startup builders, and follow Akshay Datt on LinkedIn for daily insights on venture, AI, and the Indian startup ecosystem.  

00:00 - Why Most VCs Hide This Truth 

00:01:44 - From Broke Consultant to VC Founder 

00:11:46 - How Helion's Split Shaped India VC 

00:16:58 - The Dirty Secret of VC Returns 

00:27:04 - How 400 Companies Yield One Cheque 

00:36:09 - 40 Years of Software Evolution Explained 

00:42:20 - AI Co-Pilot to Agent Shift 

00:57:09 - Three Anti-Patterns Every VC Makes 

01:14:37 - Cold Emails Never Work in VC 

01:22:44 - The Leader You Follow to War  

#AlokGoyal #StellarisVenturePartners #VentureCapital #IndiaStartups #AkshayDatt #FounderThesis #IndiaVC #IndiaVCFunding #EarlyStageInvesting #AgenticAI #AIAgentsIndia #StartupInvestingIndia #HowToGetVCFunding #Whatfix #SaaSIndia #FounderJourney #IndianStartupEcosystem #startuppodcast   

Disclaimer: The views expressed are those of the speaker, not necessarily the channel

How to Raise VC Funding in India: Lessons from Stellaris

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. 