PODCAST · business
BILLIONS
by Guillaume Moubeche
After building my company to a $150M valuation in 4 years, I had one question left: How do you build a billion-dollar company? I’m Guillaume Moubeche, and on the BILLIONS Podcast, I’m taking you inside the room with the world’s most iconic builders, founders, and investors to find the answer. This is more than just another startup podcast; it’s a masterclass in high-growth SaaS, AI implementation, and wealth creation.From SaaS growth strategies and AI Agent pivots to the raw truth behind venture capital and exit strategies, we go where others don't.What you’ll learn on BILLIONS:SaaS Scal
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25
Why the "SaaS is dead" narrative is completely wrong - Aaron Levie [box]
Today on BILLIONS, I'm sitting down with Aaron Levie, the co-founder and CEO of Box, who has rapidly transitioned his enterprise platform from a pure SaaS model into a cutting-edge playground for autonomous AI agents.Aaron has a masterclass view of the data infrastructure that legacy tech giants wish they controlled. In this conversation, we pull back the curtain on the high-stakes battle for sovereign AI. We unpack the real fallout of the U.S. government's unprecedented export controls on Anthropic's frontier models, why data platforms like Snowflake are posting blockbuster quarters amidst the AI boom, and how specialized tools like Cursor show that the future of intelligence is multifaceted, not winner-take-all.If you want to understand where the real economic value of applied AI resides over the next decade, this is the blueprint.In this masterclass, we break down:The Export-Control Precedent: Inside the unprecedented restriction of Anthropic's frontier model from non-US users and why Aaron calls it a brand-new moment in AI regulation.The Safety-Rhetoric Boomerang: How AI safety messaging scared the government into a model-approval pipeline — and why some safety advocates may quietly prefer that outcome.China's $50B Scenario: Why Aaron believes China can simply throw $50B at compute to stay in the race and why France, Japan, the UK, and Germany may be forced to build their own sovereign models.The Multifaceted Intelligence Future: Why the AI market won't be "winner-take-all," and how Cursor's applied-layer harness (routing tasks across cheap and premium models) became the template.Building for Machine Users: How Box adapted its file system MCP server, CLI, Markdown editing, HTML compatibility so agents and people work off the same data.Why More Agents Make SaaS More Valuable: Why deploying 100x more agents than employees increases the value of the underlying CRM, ERP, and content systems instead of killing them.The CS-Grad Dislocation: A grounded look at the shifting job market away from Big Tech layoffs and into AI startups and industries like life sciences and manufacturing.TIMELINE : 00:00 – Turning Box from SaaS into an AI agent platform03:00 – Sovereign AI: why countries will build their own models05:51 – Can open and Chinese models catch up to the frontier?08:51 – The chip embargo debate and Jensen Huang's argument14:09 – AI safety, regulation, and government model approval18:29 – Why AI won't be winner-take-all (the Cursor case study)21:33 – How Box built a file system for AI agents27:17 – Is SaaS dead? Why agents make software more valuable30:48 – Will AI replace jobs? The truth about CS grads
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24
Why focus on only ONE product built a $1B super-brand (on just $6,000) - Pete Maldonado [Chomps]
Today on BILLIONS, I'm sitting down with Pete Maldonado, the visionary who took $6,000, one failed food venture behind him, and zero institutional backing and built a dominant food empire that's approaching $1 billion in revenue this year.Pete and his co-founder Rashid bet everything on a category the entire industry assumed was dead: the gas-station meat stick. For nearly ten years they bootstrapped taking less than $1M in primary capital prioritizing extreme operational focus and deleting complexity at every corner. They stayed so maniacally disciplined that they only ever scaled one product format : meat sticksusing just 12 core recipes to capture market share from corporate giants.But extreme efficiency comes with massive friction. Pete opens up about the devastating reality of underestimating their explosive demand curve, which cost them 9 figures in lost revenue last year alone, the inside story of surviving an overnight COVID collapse with Trader Joe's, and why he chose to step down as CEO to hand over the keys to his co-founder.In this masterclass, we break down:The $6,000 Side Hustle Genesis: How a personal trainer used early Shopify tools and a $99 Photoshop Elements subscription to design a world-class brand from his desk.The Rule of Deleting Complexity: Why going deep on a single SKU beats going wide, and how relentless simplicity early on became the reason they could scale at all.The 9-Figure Forecasting Nightmare: The brutal operational pain of undershooting cultural shifts and cutting massive amounts of purchase orders when demand outpaces supply.The Over-the-Register Museum Trap: How an unexpected plexiglass policy at Trader Joe's wiped out retail sales overnight during COVID—and the pivot that saved the team from layoffs.The Hidden Weight of Personal Guarantees: Moving past bank-debt structures that put family homes on the line to engineer a 100% secondary private equity deal with Stride Consumer Partners.Stepping Down at the Peak: Pete's candid psychological transition from active day-to-day CEO to hands-off Chairman to protect his family time and scale the company further.TIMELINE : 00:00 – Building Chomps on $6,000: a $6,000 food brand from nothing09:46 – Brand awareness vs. distribution: never hit a shelf before the customer knows you11:53 – Riding the diet tribes: CrossFit, Paleo, Whole30, Keto, and now GLP-119:13 – The 2016 Trader Joe's inbound: staying methodical and rejecting advisor pressure to over-expand28:05 – Forecasting demand and surviving COVID33:31 – The plexiglass "museum": surviving canceled COVID orders with zero layoffs37:17 – Personal guarantees & the 100% secondary raise: de-risking the families40:46 – Casting a wider net: breaking the bottom-of-funnel ROAS trap to unlock top-of-funnel scale46:15 – Stepping down: from CEO to ChairmanREFERENCESRashid Ali Noah Kagan Tim Ferriss Liz Carter The Million Dollar Weekend Nutrisystem Jenny CraigTrader Joe'sWhole FoodsSproutsThrive MarketJack Link'sSlim JimStride Consumer PartnersShopifyWordPressAmazon Whole30 Approved CrossFit Paleo Keto GLP-1
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23
The man who built a bank for people banks don't want - Jason Wilk [Dave]
On this episode of BILLIONS, I'm sitting down with Jason Wilk, four-time founder and CEO of Dave, the neobank built to take on the predatory overdraft fees that quietly bleed billions a year from the Americans who can least afford them.Jason's story is one of the wildest comebacks in fintech. After going public via SPAC in January 2022, Dave hit a $5 billion valuation, then the macro turned.Rates spiked, growth capital dried up, and within nine months the stock had collapsed 98%, dragging the company's market cap down to roughly $50 million, less than the cash sitting on its own balance sheet.Most teams would have panicked, slashed headcount, or sold cheap. Jason did the opposite: he froze hiring, refused layoffs, killed every non-core product, and put the entire company behind one number, unit economics. Today Dave is back to a nearly $4 billion market cap, with 2026 guidance of over $700M in revenue and over $300M in EBITDA, a ~$400M earnings swing in just a few years.In this masterclass, we break down:The $75 microloan bet : how Dave used cash-flow data instead of FICO to underwrite the smallest loan in the country, importing a model that worked in India and Africa but no one had cracked in the US.120 meetings for a Series A : why traditional VCs had never even heard of overdraft fees, and what it took to finally get the check.Surviving a 98% wipeout : the operational playbook Jason ran when growth capital ground to a halt and raising more was off the table.Making millionaires at the bottom : how a Performance Stock Unit structure turned the crash into the biggest wealth-creation event in the company's history."VC money is just very high-APR debt" : why Jason wishes he'd taken his $10M Series A as venture debt and kept the equity.Eating other people's margin : Dave's new credit card and multi-product roadmap, aimed at the $100B+ a year Americans pay in credit card APRs and late fees.TIMELINE :00:00 – Why he declared war on the $34 overdraft fee01:55 – The $75 microloan that ignores your credit score04:26 – 120 investor meetings to close the Series A09:48 – Going public via SPAC at a $5B valuation11:15 – How the stock crashed 98% in 9 months16:19 – Making employees millionaires at rock bottom19:38 – From burning $100M to $300M in EBITDA23:17 – Why VC money is worse than a loan shark27:00 – The new credit card attacking a $100B market43:29 – Running a $4B company with 300 peopleREFERENCES :Jason WilkSV Angel Ron ConwayPaul GrahamGoBuyside / « Gocleff » Dave PlaidAcorns BankSimple Norwest Venture Partners Tiger Global Y Combinator
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22
Why the world’s biggest tech companies may never IPO again - Peter Singlehurst [Baillie Gifford]
On this episode of BILLIONS, I'm sitting down with Peter Singlehurst, who built the private companies team from scratch at legendary investment firm Baillie Gifford, deploying billions into more than 100 of the most important private companies on the planet.Peter operates on a timeline that makes typical venture capitalists look shortsighted. From backing Tesla in 2013 at a $3B market cap to entering SpaceX at a $30B valuation, his strategy completely bypasses the short-term noise of quarterly earnings.In this masterclass, he breaks down why optimizing for the highest possible price at an IPO is a lethal mistake, the massive arbitrage hidden within the world's most misunderstood tech giant (ByteDance), and the raw post-mortem of their highest-profile mistake: Northvolt.We break down:The Philosophy Swerve: How a philosophy graduate skipped a PhD to build a multi-billion dollar growth engine and why Baillie Gifford deliberately hires people with no finance background.The Death of the IPO Monopoly: Why the world's most valuable hyper-growth companies no longer need public exchanges to unlock liquidity.Debt Kills, Dilution Doesn't: Peter's contrarian warning to scaling founders on why leverage is a ticking time bomb for pre-profitable businesses.The ByteDance Arbitrage: The inside story of buying shares at ~4x free cash flow while Western investors ran away.The Northvolt Post-Mortem: A transparent breakdown of their highest-profile mistake and how to spot a venture-stage asset masquerading as a growth-stage giant.Disrupting the 2-and-20 Norm: How Baillie Gifford structures an ultra-LP-friendly 1-and-10 fee model charged on invested capital, not committed capital.TIMELINE : 00:00 – "You get the shareholders you deserve": the long-term underwriting mindset00:53 – From philosophy to growth equity: why Baillie Gifford avoids finance backgrounds05:44 – Entry mechanics: Tesla's $3B public entry vs SpaceX's $30B private scale08:23 – The leverage trap: why a little dilution never killed a business, but debt does13:50 – Democratizing elite assets: how the Schiehallion Fund opens up Stripe, SpaceX & Databricks to everyday savers23:15 – Designing the ideal IPO: why chasing the highest possible price destroys public-market trust30:07 – The founder risk matrix: Bezos' 1997 shareholder letter & Musk's "bet the house" blueprint35:30 – The ByteDance arbitrage: buying shares at ~4x free cash flow52:47 – Flipping the venture fee model: the LP-friendly 1-and-10 on invested capital56:09 – The Northvolt post-mortem: growth equity risk vs venture equity riskREFERENCESElon Musk Jeff Bezos Jeff Bezos’s letter to his shareholders in 1997Warren Buffett Larry AshbrookHendrick Borginon Baillie Gifford Tesla SpaceX ByteDance Amazon Alibaba Anduril Bending SpoonsAirbnbSpotify StripeDatabricksAffirmWiseTempusKlarna FigmaNorthvoltUberLyftMeta (Facebook)
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21
Why high valuations are secretly killing tech unicorns — Martino Cadoni [Deepl]
On this episode of BILLIONS, I'm sitting down with elite finance operator Martino Cadoni, current CFO of DeepL (one of Europe's leading AI companies) and the veteran strategist behind one of Central Europe's biggest banking IPOs.Martino cut his teeth in corporate America's legendary "CFO factory" the grueling General Electric leadership program, working relentless 996 schedules to solve high-stakes financial fires across the globe. From being flown to Budapest on a day's notice to re-evaluate multi-million dollar reserves in two weeks during a currency crisis, to managing capital and balance-sheet strategy as deputy CFO at HSBC, Martino knows exactly what it takes to build institutional readiness.In this masterclass, he pulls back the curtain on private vs. public markets, exposing the lethal structural mistakes tech unicorns make during down rounds and explaining exactly how legacy banking giants accidentally funded their own demise.In this masterclass, we break down:The GE CFO Factory: Inside the intense 996 operational rotation program that builds high-agency, first-principles problem solvers.The "Zombie Corn" Trap: Why raising capital at massive valuations with high preferred share thresholds completely paralyzes tech startups when the market turns.The Balance Sheet Obsession: Why optimizing accounts payable, invoice due dates, and basic payment timing yields instant cash flow wins that most tech companies completely step over.The AI Billing Paradigm Shift: Navigating the massive industry uncertainty around revenue models—from traditional per-seat subscriptions to usage and outcome-based billing.How Traditional Banking Lost: Why legacy financial institutions wasted billions on stock buybacks and short-term dividends instead of innovating, allowing Revolut and Nubank to ruthlessly strip away their market share.TIMELINE : 00:00 – Finance as an Accelerator: The core value-creation thesis + who Martino is (from a $749M banking IPO to DeepL).01:26 – The GE "CFO Factory": Rotations, the 996 schedule, the Budapest currency emergency, and the Toyota/agile principles behind high-agency finance.10:34 – The Balance Sheet Obsession: Why tech over-indexes on the P&L, and the easy cash wins in accounts payable, invoice timing, and FX.17:48 – Public Markets, SOX & the Cost of Capital: Building precise guidance, how interest-rate cycles dictate fintech lending, and Revolut's revenue diversification.27:49 – The "Zombie Corn" Trap: How high preferred-share thresholds freeze startups when the market turns and the common-share advantage.35:12 – Down Rounds & Cap Table Management: Pitching fresh investors a path to upside, and why a concentrated cap table lets you manage LPs one-on-one.41:26 – Why DeepL & the AI Billing Shift: Joining Europe's AI race, and the industry struggle to move from per-seat to usage and outcome-based pricing.50:13 – Defensibility & the Short-Term Trap: Avoiding FOMO, building embedded moats, and how legacy banks burned billions on buybacks while Revolut and Nubank ate their lunch.REFERENCESThierry PietonKazuma ShipchandlerJohn Elkann Jarek KutylowskiMatt Cohler Danny RimerGeneral Electric (GE) Converteam Moneta Money BankKlarna DeepL Revolut BenchmarkIndex VenturesIVPIconicB2VentureGICATomicoOntario Teachers' Pension Plan
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20
How a $75 sneaker bot became a $300M/Month financial engine - Steven Schwartz [Whop]
Is traditional international banking officially obsolete?On this episode of BILLIONS, I'm sitting down with Steven Schwartz, co-founder of Whop, the internet marketplace that is quietly constructing a brand-new financial infrastructure for global creators.What started as a simple $75 sneaker bot sold in Facebook groups has exploded into a massive global network. Today, Whop is a powerhouse where nearly 40,000 people earn over $300 million every single month, and the platform processes nearly $1 million daily in physical product sales alone.Steven breaks down how they partnered with stablecoin giant Tether to unlock open financial networks for unbanked regions across the globe, why they are deliberately driving traditional credit card processing fees to zero, and why 70% of his entire corporate team consists of former founders.In this masterclass, we break down:The Facebook Group Bootstrapping: How Steven and his co-founder Cameron built an iOS app to flip Yeezys and turned a micro-win into an addiction.The Core Pivot: Moving from niche downloadable software keys to hosting full community ecosystems with integrated chat rooms and video courses.The Midtown Micro-Payments Project: The wild story of building laminated QR code profiles to route Apple Pay and Venmo donations directly to the homeless.Commoditizing the Gatekeepers: Why Whop refuses to profit off standard credit card processing and is actively racing payment margins to zero.The On-Chain Future: How stablecoin rails let an entrepreneur in Nigeria, Thailand, or anywhere without reliable banking infrastructure send and receive money across borders, building a real business without ever needing a legacy bank account.Hiring High Agency: Why Whop acquires companies first and foremost for talent, bringing in former founders who are high-agency, obsessive, and have already built zero-to-one products, rather than chasing headcount.TIMELINE 00:00 – The $75 Sneaker Bot: monitoring Nike's Twitter to auto-buy rare drops03:09 – The Pivot: from niche software keys to courses & private communities05:34 – Payments Philosophy: the homeless QR-code project & racing fees to zero08:34 – The Tether Bet: stablecoins & bypassing legacy banks for the unbanked19:32 – "Powered by Whop": the viral loop & the zero-fee ecosystem23:48 – Acquiring for Talent: why 70% of the team are former founders40:04 – From Alabama Construction to $180K/Month: real-world impact42:38 – "Eating Glass": the perseverance to deliver a global mission
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19
Very few growth moats will survive AI - Sandy Diao [Descript]
On this episode of BILLIONS, I’m sitting down with Sandy Diao, an elite growth operator who has been remarkably right about major market trends long before the rest of the ecosystem.Sandy helped scale products to 200 million users by leading early growth efforts as employee number 30 at Pinterest. She then joined Descript as their first ghost hire, architecting an automated affiliate model that drove 25% of all new users completely self-service.Her thesis is a warning to every modern SaaS operator: the siloed channel specialist is obsolete. In a world flooded by AI-generated content, traditional acquisition paths are collapsing. The future belongs to full-stack, unified operators who realize that trust is the only channel that compounds.In this masterclass, we break down:The Pinterest Support Trench: How responding to raw customer tickets unlocked the insights to rewrite onboarding and drive massive user activation.Data-Inspired vs. Data-Driven: Why chasing exact precision can paralyze early growth, and why directional insights are the secret to building high-velocity engines.The Descript Affiliate Machine: How to structure automated, self-service loops that scale acquisition without expanding headcount.The Death of Growth Moats: Why traditional software channels are decaying and how to transition to a unified growth framework.Auditing Your Engine: Sandy's precise multi-step diagnostic process for troubleshooting an underperforming distribution strategy.TIMELINE : 00:00 – Why most growth moats won't survive the AI era01:03 – The Support Trench: How customer tickets rewrote Pinterest's onboarding10:00 – Overcoming Team Friction: How to align engineering with rapid growth experiments16:06 – From B2C to B2B: Spotting high-intent institutional signals in consumer data18:17 – Data-Inspired vs. Data-Driven: Why chasing absolute precision kills execution velocity25:09 – The Descript Affiliate Loop: Building a self-service machine that drove 25% of new users38:00 – Retention in the AI Era: Maintaining product durability when switching costs drop41:10 – The Growth Collapse: Why the siloed channel specialist is officially obsolete44:03 – The Growth Audit: Her foundational framework to diagnose an underperforming engine47:02 – Adaptive Moats & Unfair Advantages: Why the permanent distribution moat is deadREFERENCES : Ben Silbermann Evan Sharp Pinterest Descript IndiegogoThe ONE Smart Piano TeachShare Adobe Facebook/Meta Twitter (X) Coca-Cola Burt's BeesStripeGoogle AdsMeta Pixel (ex-Facebook Pixel)Claude ChatGPTGemini Power law outcomes GEO (Generative Engine Optimization)
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18
From Revolut employee #3 to building a £5B energy giant - Alan Chang [Fuse Energy]
On this episode of BILLIONS, I'm sitting down with Alan Chang, Co-Founder and CEO of Fuse Energy—a tech-driven energy company that has completely shattered the UK market.Alan was employee #3 and Chief Revenue Officer at Revolut. Instead of coasting on fintech success, he and his co-founder Charles took that hyper-growth playbook and weaponized it against traditional utility giants like British Gas and Octopus. In just three years, Fuse has exploded from £2M to £400M in annual revenue, achieving a £5 billion valuation.If you want to know how a lean tech team can buy a wind turbine, acquire a grid operator, and out-execute legacy multi-billion dollar incumbents, this is your blueprint. In this masterclass, we break down:The Revolut Exit: Why Alan walked away from fintech because the problem was "largely solved".The £1M MVP: How they bought an energy license for £50K and a single wind turbine for £750K, using a mix of their own capital and an early round.Anti-Democracy Culture: Why running a startup by committee fails, and why top performers should be paid 10x more than bottom performers.Full-Stack Infrastructure Control: Why Fuse is currently buying a grid operator to dominate supply. Internal AI Weaponization: How Fuse is building internal AI agents (PR reviews and error-tracking) to keep their team incredibly small and efficient.TIMELINE 00:00 – Leaving Revolut: Moving from a "solved" fintech industry to an unsolved energy crisis.04:20 – The £1M Full-Stack MVP: Door-knocking for a wind turbine and securing an energy license.09:33 – The Efficiency War: Why European energy costs are 3x higher than China's.13:31 – Controlling the Grid: Why Fuse is actively acquiring a grid operator.17:05 – The Execution Layer: Rejecting complex designs and demanding simplicity.22:36 – High-Performance Compensation: Why top engineers make 10x more than the bottom tier.28:50 – VC Term Sheets: Setting absolute founder-control red lines with investors.36:50 – The Main Job: Why recruiting absolute elite talent takes up the majority of a CEO's day.43:52 – Product Design: Building beautiful micro-solar and balcony battery products for consumers.46:05 – Weaponizing AI Internally: Building PR review and error-tracking agents to optimize code.REFERENCES Nik Storonsky Charles OrrRevolut (Antoine le Nel : Episode 9)British GasOctopus EnergyFuse Energy
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17
The fastest revenue engine in SaaS history: $5.4B run rate in 10 Years - Ron Gabrisko [Databricks]
Is the traditional "per-seat" SaaS model officially obsolete? In 2016, Ron Gabrisko joined a startup with less than $1M in ARR. It was a company of 50 engineers and a product beloved by developers who had never even spoken to a sales rep. Ten years later, Databricks is a $134B giant doing $5.4B in ARR and they are still growing at a staggering 65% year-over-year.No CRO in history has built a revenue engine this fast, from this early a starting point. Ron didn't do it by following the standard Silicon Valley playbook; he did it by pioneering Consumption-Based Pricing and leveraging Open Source as the ultimate top-of-funnel engine. In this masterclass, we break down: Consumption vs. Seats: Why Databricks tied its pricing to the "most basic unit of value" and how it fueled a $100B+ valuation.The Open Source Funnel: How to monetize a community without "locking them in".Building Trust with Engineers: Why Ron hires "really technical sales folks" to add value rather than just pitching.Scaling through Innovation: Why Databricks didn't stop at one product, but built a sticky ecosystem (Spark, Delta, MLflow).The GenAI Future: Why owning and protecting your data is the "secret sauce" for the next decade of AI.Timeline : 00:00 – The $5.4B Machine01:20 – Joining Databricks at sub-$1M ARR with 7 PhD founders04:12 – Selling to engineers: hiring "really technical sales folks"06:29 – Killing the SaaS Seat: consumption and the "most basic unit of value"09:22 – Net retention 130%: the multi-product open source strategy14:53 – Planning 65% YoY: the science of forecasting19:03 – Structuring 5,000+ sellers: verticalization and outcome-based selling29:11 – "Don't give your data to us": the data ownership philosophy33:54 – Usage-based vs value-based: why pricing is public on the websiteREFERENCESBen HorowitzAli GhodsiElon Muska16zBerkeley, MIT, Stanford RegeneronAnthropicOpenAI Gemini / GCPSalesforcePalantirAdobeNeonApache SparkDelta LakeMLflow Apache IcebergHadoop GenieLake Watch Lakehouse Databricks One
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16
$100M ARR in 7 quarters: inside the $10B AI machine - Reggie Marable [Sierra]
On this episode of BILLIONS, I’m sitting down with Reggie Marable, the Chief Revenue Officer at Sierra. Reggie’s path wasn't a straight line. He went from being a professional linebacker in the CFL to working in a Sprint call center, and eventually rose to become the Head of Sales for Slack North America. After years at Salesforce, he walked away to join Sierra as employee #23.Founded by Bret Taylor (former Salesforce Co-CEO) and Clay Bavor, Sierra has reached a $10B valuation and is on a path to $100M ARR in just seven quarters. Their secret? A business model that should terrify every legacy SaaS founder: Outcome-Based Pricing. In this masterclass, we break down:The Sierra Sprint: How to scale to a $10B valuation in record time.Service as Software: Why Sierra only charges customers when a problem is actually resolved.The Sales Shift: Why Reggie left a massive leadership role at Slack for an early-stage startup.Hiring for the AI Era: Why Reggie looks for "humble, hardworking, and low-ego" talent over pedigree.The Recovery: How getting fired earlier in his career became the foundation for his $10B mindset.TIMELINE :00:00 – "If your dreams don't scare you...": The Muhammad Ali mindset.01:17 – From the CFL to a Sprint call center: Reggie’s raw beginnings.04:07 – The "fired" moment: How losing his job led to a total reinvention.05:33 – The Salesforce & Slack era: Mentoring 200+ people and scaling Slack North America.10:00 – Why Reggie left Slack to become employee #23 at Sierra.12:23 – Outcome-based pricing: Why the "per seat" model is dying.16:20 – AI agents in the wild: Real-world results for Cigna, Singtel, and Sonos.19:00 – The resolution model: Charging for solved problems, not software access.31:15 – Operational cadence: How a $10B startup manages its weekly rhythm.35:50 – Hiring strategy: Why "humble and hardworking" beats high-ego sellers.44:10 – The "diversity" advantage: Building high-performance teams through inclusion.47:16 – Reggie’s final advice: "Success is a winding road."REFERENCES :Muhammad Ali Jay-Z Dr. Martin Luther King Jr. Brian TracyAlbert EinsteinNelson MandelaBrett TaylorClay BavorRyan RaddingElliot GreenwaldLily WangStephanie EvansGreg MarshMandy St. Leger Morehouse College Canadian Football League SprintSalesforceSlackSierraCigna Next SingtelAfrotech & Sistas in Sales
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15
Creating a $140B market: The secondary market masterclass - Larry Aschebrook [G Squared]
Today on BILLIONS, I'm sitting down with Larry Aschebrook, the guy who invented a market that Wall Street didn't think existed.Larry started personally buying shares in Twitter and Uber on the side and he realized: there are thousands of employees sitting on life-changing paper gains, with zero liquidity, waiting for companies that might never IPO.So in 2011, he quit his safe university job and launched G Squared, a fund to solve that problem. Nobody took him seriously. The secondary market was "taboo." Companies thought selling shares meant you were failing.Today, he manages $5 billion. He turned a $150M Spotify bet into $1 billion. He made $800M on Coursera. And the market he built is now worth $140 billion a year.Larry, welcome to BILLIONS.TIMELINE : 00:00 : The psychology of the secondary market pioneer. 01:13 : Quitting a decade-long career for a "ghost" market. 03:23 : The Hustle: Cold-calling alumni for early Twitter and Uber shares. 05:41 : The $150 million Spotify bet and the $9M personal risk with zero collateral. 11:19 : Data Arbitrage: How Larry knew record labels were secretly buying Spotify. 15:43 : Scaling G Squared: From a $35 million pool to $7 billion AUM. 20:05 : Why DPI (Cash Back) is the only metric that matters, and why paper gains are a lie. 25:09 : The Scars: Learning from the "quick commerce" collapse and other losses. 37:09 : The Future: OpenAI, SpaceX, and the evolution of private liquidity. 53:12 : Advice for Founders: Why you must hire "grinders," not just pedigree.REFERENCES : Daniel Ek Spencer McLeodMitchell GreenJim SimonsElon Musk Spotify Twitter Uber Palantir Coursera Anthropic OpenAI SpaceX Stripe Wiz Toast NetflixApple Music Instacart Postmates Meituan Alibaba Turo GetaroundKlarna Revolut Databricks 23andMe Gorillas Pagaya
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McKinsey's AI leader moved to head a $2B AI workforce - Matthew Fitzpatrick [Invisible]
Is the traditional SaaS model officially dead ? On this episode of BILLIONS, I’m sitting down with Matthew Fitzpatrick, the man Fortune 500 CEOs called when they didn’t know what to do with AI.Matthew walked away from one of the most prestigious roles in tech, leading 1 000 engineers at McKinsey’s QuantumBlack Labs to lead Invisible Technologies.Invisible is the "invisible" engine behind the AI revolution. They don't just build software; they provide the RLHF (Reinforcement Learning from Human Feedback) and the data that trains the models the entire world is building on. With $100M raised at a $2B+ valuation, Matthew is proving that the future isn't in selling tools, but in selling outcomes.In this masterclass, we break down:The McKinsey Exit: Why a top AI leader "jumped ship" for a $2B startup.The Death of SaaS: Why "Outcome-based pricing" is replacing the subscription model.The Enterprise Gap: Why 90% of companies are failing to get AI into production.The Scaling Laws: The truth about data bottlenecks and the future of AI training.Process as Code: How Invisible integrates human intelligence with AI to solve "impossible" problems.TIMELINE : 00:00 The data bottleneck: Why Enterprise AI is currently "stuck"01:01 Why McKinsey’s AI chief left to lead a $2B unicorn02:33 The "Four Platforms": How Invisible actually works05:58 SaaS vs. Outcomes: The pricing model of the future09:19 Why the "AI Bubble" reality check is coming15:12 The "Capability Gap" holding back the Fortune 50022:15 RLHF & Data: Building the workforce behind the major models31:42 "Process is Code": The new architecture for billion-dollar companies41:10 Matthew’s advice for founders: Don't just build a "wrapper"48:20 The future of the "Invisible" empireREFERENCES :Mary MeekerElon Musk Étude MIT SloanÉtude NBER (National Bureau of Economic Research)Article BloombergMcKinsey & Company Quantum Black Invisible Technologies SwissGear Y CombinatorWeCP (We Create Problems)Databricks SnowflakeJevons paradox Reinforcement learning from human feedback (RLHF)Chain-of-thought reasoning Revolut
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$0 to $100M ARR in 3 months: The AI plan to run every company - Ben Cera [CloudKitchens & Polsia]
On this episode of BILLIONS, I’m sitting down with Ben Cera, the man who helped Travis Kalanick (Uber Founder) build CloudKitchens, and who is now building the "God Mode" for startups: Polsia.Polsia is an AI that builds and runs companies autonomously. No employees, no meetings, just 24/7 execution. Ben is currently at a $6M annual run rate with a 30% week-on-week growth and he plans to hit $100M ARR in just 3 months. If you want to understand how AI agents are replacing the traditional SaaS model and how "Product-Market Fit" has become a search problem, this is your masterclass.In this episode, we break down:The CloudKitchens Era: Lessons learned from building a global giant with Travis Kalanick.The Autonomous Blueprint: How Pulsia builds companies from scratch without human intervention.$100M ARR in 90 Days: The aggressive growth strategy behind the AI revolution.The "SaaS-pocalypse": Why the software you use today is about to be replaced by agents.The "Taste" Economy: Why humans are moving from "builders" to "orchestrators."TIMELINE : 00:00 "Click a button, get a company": The vision for Polsia01:12 Building with Travis Kalanick: The CloudKitchens masterclass04:45 The $100M ARR Plan: How to scale an AI company in 90 days09:30 Why Product-Market Fit is just a "Search Problem"15:10 The SaaS-pocalypse: Replacing legacy software with AI agents22:40 How Polsia finds demand and builds products autonomously31:15 The Meta Ads Strategy: Scaling from $10/day to millions38:50 Why "Taste" is the only human skill left in the AI era45:10 Influencer-led distribution: The new "Billion-dollar" funnel53:05 Ben’s advice for founders: Stop building for others, build for yourselfREFERENCESTravis Kalanick (X/Twitter) Rick Rubin CloudKitchensFuture FoodsPolsiaChatGPT ClaudeSora 2 Uber Meta Ads ShopifyStripeUniversal PaperclipsWikipedia / Craigslist / Amazon HubSpot DoorDash
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$0 to 2 Unicorns: bootstrap vs $250M VC - Jason Cohen [WP Engine]
On this episode of BILLIONS, I’m sitting down with a legendary architect of the SaaS world: Jason Cohen, founder of WP Engine and Smart Bear.Jason has "cracked the code" twice, using two diametrically opposite strategies:- The Pure Bootstrap: He built Smart Bear to millions in profit with zero outside funding, eventually leading to a unicorn valuation.- The VC War Machine: He raised $250 million from Silver Lake for WP Engine, scaling it to $400M in revenue and 200,000 customers by 2024.This is a masterclass in capital efficiency. Whether you are a solo-founder or a venture-backed CEO, Jason’s framework for building "enduring companies" is the raw truth you won't hear in most boardrooms.TIMELINE : 00:00 - Why AI products almost never work01:20 - Switching from Bootstrapping to $250M VC rounds04:51 - The SaaS-pocalypse: The truth behind HubSpot & legacy decline09:30 - Solving legacy problems with AI-powered search16:17 - Experts vs. Muggles: The three categories of AI products21:55 - Why evergreen insights beat AI hype26:06 - The Power Move: Firing yourself as CEO to save the company34:01 - The "301 Redirect" strategy for management transitions40:48 - Hidden multipliers and the labor of love44:02 - The Raw Truth: Post-exit depression and infinite optionality58:25 - Redefining identity: Leveraging accumulated wisdomREFERENCES : Heather BrunerAnnie Duke Daniel Pink Lazar JovanovicElon Musk SmartBear WP Engine HubSpot BasecampShopify Waymo Notion Google SheetsElasticsearch Algolia Lovable Claude Code
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Never wrote a line of code, now a $6.6B unicorn : the vibe coder - Lazar Jovanovic [Lovable]
Lazar Jovanovic is the world's first official "Vibe Coding Engineer." Working at Lovable (the AI startup that hit $100M ARR in just 8 months) Lazar is proving that the future of software engineering isn't about syntax; it's about taste and intent.In this episode, we dive into how Lazar ships production-grade apps for a $6.6B unicorn without writing a single line of manual code. We discuss the "SaaS-pocalypse," why ignorance is a superpower in the AI era, and how you can transition from a traditional role to a Vibe Coder.TIMELINE : 00:00 - Meet the world's first "vibe coding" engineer01:06 - Why "not knowing how to code" is your new superpower04:43 - Is software maintenance dead in the age of AI?09:15 - The Lovable story: hitting $100M ARR in 8 months15:42 - The end of bootstrapping? Vibe coding vs. the old way24:16 - SaaS-pocalypse: the future of software interfaces29:47 - Beyond code: the only metrics that matter for AI products37:01 - Will enterprises ever adopt AI-generated code?44:35 - The "Aladdin & Genie" trick for mastering AI prompts56:05 - How to become a vibe coder (no permission required)REFERENCES : Warren MasonKurt Cobain Pieter Levels.Marc LouVictor Wembanyama Elena VernaJony IveLovable Claude OpenAIShopify Stripe TechCrunch Salesforce HubSpot 28 Days of LovableShe BuildsAladdin and the Genie
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The 15-day pivot that saved a $1.3B company - Des Traynor [INTERCOM]
Today on BILLIONS, I'm sitting down with Des Traynor, co-founder of Intercom.In 2023, his company was stuck at 10% growth. Customer service teams were shrinking. The old model was dying. So he did something radical: he launched an AI agent priced at $0.99 per resolved conversation. Not per seat. Per outcome.The result? Growth doubled to 25%. $343M in revenue. And a complete reinvention of a $1.3B company in 18 months.TIMELINE : 00:00:00 - 00:01:02 : Des Traynor - Intercom00:01:02 - 00:05:22 : The $1.3 billion bet on AI : moving 15 days after ChatGPT launched00:05:22 - 00:09:08 : Why building AI is not building SaaS00:09:08 - 00:12:51 : The "torture test" for engineering reliability00:12:51 - 00:20:14 : Developing the "white smoke" moment for product00:20:14 - 00:25:16 : Defining what "good" looks like in AI00:25:16 - 00:34:53 : The Blockbuster warning: Adapt or die00:34:53 - 00:40:27 : Killing hallucinations with actor-critic logic00:40:27 - 00:48:55 : Outcome-based pricing and the future of CRM00:48:55 - 00:55:56 : The end of frontline customer service jobsREFERENCES : Fergal Reid Ciarán Lee Eoghan McCabeMarc Andreessen If Anyone Builds It, Everyone DiesOpenAI / ChatGPTZendeskSalesforce Fin.AIGong ClickUpDALL-ECursor WindsurfDevinClaude CodeAttioClarifyNetflixThe Cheeky Pint
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Building Odoo's American war machine - Wilfried Juncker [Odoo]
Today on BILLIONS, I'm sitting down with Wilfried Juncker.He's the Managing Director for Odoo's Americas a Belgian software unicorn that just hit a €8 billion valuation.Under Wilfried's watch, Odoo's Americas operation exploded from 35 people in 2016 to over 950 in America only.In this episode, we're digging into how Wilfried built Odoo's American war machine, what it takes to conquer a new market from scratch, and how he's fighting high SMB churn while scaling at breakneck speed.While SAP and Oracle charge millions for ERP, Odoo's open-source model is democratizing enterprise software and Wilfried built the Americas war machine that's making it happen.Wilfried, thanks a lot for being here!TIMELINE : 00:00:00 - 00:01:05 : Odoo's explosive growth from 70 to 2,000 employees00:01:05 - 00:02:30 : The early days and Wilfried's journey at Odoo00:02:30 - 00:05:25 : Entering the US market with channel partners strategy00:05:25 - 00:09:25 : Open source model and freemium conversion tactics00:09:25 - 00:14:20 : Building the partner ecosystem and revenue sharing00:14:20 - 00:18:07 : Scaling partner relationships and management approach00:18:07 - 00:24:12 : Hiring and retention philosophy - promote from within only00:24:12 - 00:27:14 : Industry specialization vs size-based team structure00:27:14 - 00:34:32 : Managing SMB churn while maintaining growth00:34:32 - 00:42:17 : Demo-first culture and bottom-up sales approach00:42:17 - 00:48:20 : Resource allocation and offline marketing strategy00:48:20 - 00:52:27 : Unconventional customer acquisition tactics00:52:27 - 00:54:29 : Building local ecosystems and final thoughtsREFERENCES :- Oracle NetSuite- Microsoft Dynamics- SAP- Acumatica- Sage- Epicor- Infor- QuickBooks- HubSpot- GitHub- Lemlist- Clay- Lucia- NPR- NASA
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From selling startups to Google to backing multibillion‑dollar AI winners - Anish Acharya [a16Z]
Today on BILLIONS, I'm sitting down with Anish Acharya.He sold his first company to Google. His second to Credit Karma — then stayed and helped scale their U.S. Card business to nearly a billion dollars in annual revenue.In 2019, Andreessen Horowitz made him a General Partner. Since then, he's led the Series A in Deel, which just hit a $17.3 billion valuation in October 2025.Most VCs have never operated anything. Anish built, scaled, sold, and then learned how to pick.Anish, thanks a lot for being here !TIMELINE : 00:00:00 - 00:02:30 : Anish Acharya’s entrepreneurial journey00:02:30 - 00:06:28 : Why 2008 and today are the most exciting times for founders00:06:28 - 00:11:38 : The AI model competition and Google's comeback00:11:38 - 00:14:50 : Why the "LLM wrapper" fear is no longer relevant00:14:50 - 00:20:07 : Multi-model approach and the future of AI applications00:20:07 - 00:24:01 : Learning from Credit Karma and the importance of winning00:24:01 - 00:29:14 : Why paternalism kills products and going with human nature00:29:14 - 00:35:28 : AI's human impact and why it's different from social media00:35:28 - 00:42:45 : The future of coding, jobs, and why SaaS isn't dead00:42:45 - 00:55:21 : Investing in Deel, AI companionship, and what it costs to winREFERENCESMark Zuckerberg Sam Altman Sergey Brin Nicolas Dessaigne - Billions EP2Andrej Karpathy Alex Bouaziz Shuo Wang Harry Stebbings - Billions EP4Eugenia Kuyda Credit KarmaDeel ChatGPT Gemini Claude GrokCursor Lovable HarveyReplikaWabiLife360 PapayaQwen
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The man who helped OpenAI to go from millions to billions in revenue - Zack Kass [Open AI]
Today on BILLIONS, I'm sitting down with the man who had the hardest sales job in Silicon Valley history: Zack Kass.Before ChatGPT was a household name, it was just a research lab. Zack was Head of Go-To-Market. He joined when OpenAI was around a hundred people doing two million in revenue. His job? Sell human-level intelligence to Fortune 500 executives who didn't even know what a token was.He built the playbook for Microsoft. For Coca-Cola. He turned a nonprofit lab into an eighty billion dollar superpower. Then he walked away.Zack, thanks a lot for being here!TIMELINE00:00:00 - 00:06:34 : Joining OpenAI as the first sales person00:06:34 - 00:09:47 : The early GPT-3 wrapper ecosystem00:09:47 - 00:11:03 : Strategy behind ChatGPT's development00:11:03 - 00:16:45 : The chat interface decision and market response00:16:45 - 00:21:04 : ChatGPT's explosive growth and company atmosphere00:21:04 - 00:26:45 : Lessons from viral growth and Microsoft partnership00:26:45 - 00:30:21 : Scaling challenges and the "bigger boat" moment00:30:21 - 00:33:44 : Personal burnout and health crisis00:33:44 - 00:37:29 : AI as humanity's last invention00:37:29 - 00:45:21 : Technology, inequality, and policy failures00:45:21 - 00:48:35 : Global AI competition and geopolitics00:48:35 - 00:50:18 : AI's potential to solve major problems00:50:18 - 00:54:33 : The next renaissance and education transformationREFERENCES- Sam Altman- Brad Lightcap- Lukas Biewald- Chris Van Pelt - John Maynard Keynes- Elon Musk- Jeff Bezos- Koch brothers- "The Next Renaissance: AI and the Expansion of Human Potential" by Zach Cass- "Attention Is All You Need" - Figure Eight- Lilt- Weights & Biases - Scale AI - Jasper - Harvey - Bain & Company- Waymo- Prenuvo- DeepSeek- OpenAI- RLHF- CRISPR - Jevons paradox - Jaws
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The growth playbook behind Revolut's $100B+ growth engine - Antoine Le Nel [Revolut]
Today on BILLIONS, I'm sitting down with Antoine Le Nel the guy who spent 7 years scaling Candy Crush into one of the most addictive products ever created... then walked away to go kill traditional banking.At King, he helped turn a mobile game into a machine that prints billions. When Activision bought them for $5.9 billion, he could've stayed forever.Instead, he joined Revolut in 2021 — right as most fintech were collapsing. Three years later? $75 billion valuation. $4 billion in revenue. 65 million customers.His secret? Ignoring everything Silicon Valley preaches about growth.Antoine, thanks for being here!TIMELINE :00:00:00 - 00:01:07 : Scaling Candy Crush to a $5.9 billion exit00:01:07 - 00:03:38 : How to avoid the "one-hit wonder" trap in gaming00:03:38 - 00:06:54 : The Facebook hack that reached 70% of global users for free00:06:54 - 00:10:35 : Activision's acquisition and the reality of pre-ipo stock options00:10:35 - 00:16:59 : Why Revolut prioritizes unit economics over venture capital hype00:16:59 - 00:21:00 : Decoding the exponential LTV curve that defies banking logic00:21:00 - 00:30:13 : Charging for the card: A masterclass in buying user engagement00:30:13 - 00:46:01 : Killing the middleman: Revolut's secret to autonomous, lean teams00:46:01 - 00:54:08 : From ROI to F1: Building a generational brand with Audi00:54:08 - 01:00:53 : The uncomfortable truth about brand value and engineering mindsetsREFERENCES:- Mark Zuckerberg - Nik Storonsky- Patrick Collison- King Digital Entertainment - Activision Blizzard - Stripe - Booking.com - Primavera Sound - Como football team- Audi F1- Drive to Survive- Revolut Business
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The CEO who turned down VCs, bought back his company, and built a $1.7B SaaS empire - Ross Andrew Paquette
Today on BILLIONS, I'm sitting down with Ross Andrew Paquette, the CEO who broke every Silicon Valley rule: he bought OUT his investors before buidling a 1.7 billion dollar empire. He founded Maropost in 2011, and by 2016, it ranked #7 on the PROFIT 500 as one of Canada's fastest-growing companies.Ross, thanks a lot for being here!TIMELINE : 00:00:00 - 00:01:12 : From lifestyle business to a $1.7 billion empire00:01:12 - 00:03:32 : The 75% ebitda secret and why growth at all costs is a trap00:03:32 - 00:05:37 : Founder mode and signing clients every single day00:05:37 - 00:08:18 : Why "experienced" executives fail and the return to young and hungry teams00:08:18 - 00:12:14 : The $37 million wire transfer to buy out investors00:12:14 - 00:16:18 : Why advisory boards beat professional investor boards every time00:16:18 - 00:26:48 : The contrarian ipo strategy for australia and canada00:26:48 - 00:33:08 : Why you should never take vc money if you want to keep your drive00:33:08 - 00:51:56 : The brutal reality of m&a and culture integration00:51:56 - 01:00:48 : Two metrics that actually matter: revenue and profitREFERENCES :- Adam Robinson - Larry Ellison - Patrick Campbell - Elephant & Highland Europe - Summit, Insight, TA - Shopify Plus- Atlassian - Oracle - Attentive & Klaviyo .- Groq - Neto & Retail Express - Australian companies acquired by Maropost - Findify - Swedish search/merchandising company acquired by Maropost- ProfitWell & Baremetrics- Stripe
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The college dropout who keeps ending up in billion-dollar exits - Cornelius Schmahl
Today on BILLIONS, I'm sitting down with Cornelius Schmahl — a college dropout who keeps finding his way into billion-dollar outcomes.At 23, Uber sent him to markets nobody wanted. South Africa. Uganda. Ghana. No playbook. Figure it out or fail.By 27, he was running Uber Russia. One problem: Yandex was winning.He helped engineer a 3.7 billion dollar merger — then walked away from operating entirely. Started writing angel checks. Lime. Liquid Death. BillionToOne.Climeworks. Four bets. Four unicorns.What does this guy see that everybody else misses?Cornelius thanks a lot for being on BILLIONS.TIMELINE : 00:00:00 - 00:03:58: From college dropout to Uber's unwanted markets00:03:58 - 00:09:02: The brutal reality of launching Uber in hostile territories00:09:02 - 00:16:06: Engineering violent price cuts and discovering the utilization game00:16:06 - 00:25:47: The Russia war - infiltrating Yandex and burning millions strategically00:25:47 - 00:32:35: The $3.7 billion merger and why timing beat fundamentals00:32:35 - 00:44:26: Angel investing reality check - why unicorns on paper don't pay bills00:44:26 - 00:52:28: The three-step framework that creates billion-dollar companies00:52:28 - 00:58:52: From billionaire dreams to therapy - the consciousness shift00:58:52 - 01:01:48: Marc Benioff email scandal and building leverage through controversy
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From losing $1B to running a $100m per year business - Noah Kagan [AppSumo]
Today on BILLIONS, I’m sitting down with Noah Kagan — the guy who got fired from Facebook before it was worth a trillion… and turned that loss into the biggest comeback story in online business.He went from losing a fortune on paper to building AppSumo, a $100 million-a-year bootstrapped empire - all without raising a single dollar of VC money.Noah, thanks a lot for being here!TIMELINE00:00:00 - 00:02:10 : The trillion-dollar miss at Facebook00:02:10 - 00:06:43 : Leadership lessons from Mark Zuckerberg's billion-dollar rejection00:06:43 - 00:12:13 : The lifetime deal dilemma destroying software value00:12:13 - 00:19:40 : Why most entrepreneurs never take action00:19:40 - 00:26:49 : Building discipline through small daily choices00:26:49 - 00:33:10 : The scary reality of AppSumo's uncertain future00:33:10 - 00:42:09 : Community quality crisis in the AI era00:42:09 - 00:48:58 : Testing new models before it's too late00:48:58 - 00:57:07 : Hiring secrets for bootstrap businesses00:57:07 - 01:04:29 : Finding contentment beyond the billion-dollar dreamREFERENCES- Mark Zuckerberg - Peter Thiel - Marc Andreessen- Sean Parker- Dustin Moskovitz- Soleio - Bill Gates - Steve Jobs - Moody- Christine Rogers- Jesse Mecham – - Ayman Al-Abdullah- Reid Hoffman- Million Dollar Weekend by Noah Kagan- AppSumo - TidyCal - Airbnb - Asana - Lemlist - Reclaim- Bolt- Hostinger- Emergent- Pika - YNAB- Vercel- Tabby - YC
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Growing to billion dollar valuation multiple times with Stan Masueras
Today on BILLIONS, I'm sitting down with Stan Massueras - the guy who's scaled companies to billion-dollar valuations not once, but multiple times.He was one of Facebook's first European sales hires in 2008, then helped Twitter expand across the continent and after that, he spent six years scaling Intercom to unicorn status. Now he's doing it all over again at ElevenLabs, the voice AI company that went from zero to $6B+ in under three years.In this episode, we'll dig into what it actually looks like to scale sales, how selling AI is fundamentally different from selling SaaS, and what Stan had to unlearn from the typocal Saas playbook to succeed at ElevenLabs.If you want to understand what it takes to repeatedly win at the billion-dollar level - and what breaks inside companies growing this fast - this episode is for you.Stan thanks for being here today!TIMELINE : 00:00:00 - 00:01:17 : From Facebook to ElevenLabs: Meet the billion-dollar scaler 00:01:17 - 00:05:21 : Why selling software in Europe breaks the US playbook 00:05:21 - 00:10:10 : The AI sales revolution: Killing the SaaS sales hierarchy 00:10:10 - 00:13:56 : No middle management, no titles: How ElevenLabs runs flat and fast 00:13:56 - 00:18:34 : Inside ElevenLabs’ $300M ARR sprint: Remote, lean, relentless 00:18:34 - 00:22:47 : Mastering two motions: creative tools vs enterprise AI 00:22:47 - 00:26:39 : Expanding from voiceovers to luxury AI agents 00:26:39 - 00:30:54 : Taking updates seriously: enterprise upsell strategy and product marketing 00:30:54 - 00:34:22 : Deepfake fears & Hollywood deals: AI voice ethics in action 00:34:22 - 00:40:45 : Billion-dollar impact: AI accessibility, ALS, and global translation 00:40:45 - 00:54:44 : Career regrets, recruiting lessons, and the real rocket-ship mindset REFERENCES :- Sheryl Sandberg - Jason Fried - (Basecamp) - Carlos Reina - Guillaume Kabane- Dave Gerhardt- Arthur Waller (PennyLane)- Harry Stebbings (20VC)- Matthew McConaughey- Bruce Springsteen- Mark Zuckerberg - Skyblog (Note: Mostly inactive now; legacy site)- Lemlist- Deel- Salesforce- Oracle- Canva- Figma- Zendesk- Lovabl- Synthesia- HeyGen- Coinbase- Sales Navigator (LinkedIn)- Y Combinator- Station F- SaasStock
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From selling his company to Booking.com to building a fintech unicorn! - Arthur Waller [Pennylane]
Today on BILLIONS, I’m sitting down with Arthur Waller, one of the sharpest French founders of his generation.He sold his first company to Booking.com in his twenties — and instead of retiring, he came back to build Pennylane, a fintech that turned accountants from enemies into growth partners and became one of europe fastest-growing unicorn.In this episode, we will discuss how six co-founders actually share power, what founders get wrong about fundraising terms and dilution, and what Arthur thinks about secondaries, freedom, and building a company that lasts twenty years.If you want to understand what it really takes to scale, cash-out without selling out, and keep your ambition alive after success - then this episode is for you!TIMELINE : 00:00:00 - 00:03:37 : First exit to Booking.com at 25 - the $80M deal structure00:03:37 - 00:08:08 : Why the earn-out worked and 3.5 years at Booking00:08:08 - 00:13:58 : Coming back stronger - choosing accounting as the next battlefield00:13:58 - 00:18:12 : Seven co-founders sharing power and equity splits00:18:12 - 00:24:01 : Fundraising strategy - diluting less than 10% early rounds00:24:01 - 00:30:34 : Making accountants allies instead of enemies00:30:34 - 00:36:08 : European expansion vs US market strategy00:36:08 - 00:41:56 : Secondary transactions - $30M for employees, $70M for founders00:41:56 - 00:46:38 : Staying private vs going public - the Stripe model00:46:38 - 00:48:43 : The one advice for young foundersREFERENCES : - Booking.com - Felix Blossier- Tancrède Besnard - Alexandre Roquoplo- Charles-Philippe Letellier- Brian Halligan- Partech- PayFit- Alan- Qonto- Indy- QuickBooks- NetSuite- Salesloft- Outreach- Sequoia Capital- Carta- Cegid- Shine- Stripe- Revolut- Andreessen Horowitz (a16z)
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How the next generation of billion-dollar investors think - Jonathan Userovici [Headline]
Today on BILLIONS, I’m sitting down with one of Europe’s youngest General Partners — Jonathan Userovici from Headline, a global venture firm that spots the next billion-dollar companies before anyone else.Jonathan’s already backed some of Europe’s fastest-growing unicorns and he’s quietly redefining what it means to invest with both data and instinct.In this episode, I want to talk about the behind-the-scenes of fundraising, how he spots future billion-dollar founders, and where the biggest opportunities in AI are.And of course, we’ll talk cash — secondaries, cap tables, and the real economics behind staying hungry once you’re rich on paper.If you’ve ever wondered how the next generation of billion-dollar investors think — this episode is your blueprint.Jonathan, thanks a lot for joining!TIMELINE :00:00:00 - 00:01:09 : The rise and fall of unicorns 00:01:09 - 00:03:42 : Backing founders who build long-term compounders 00:03:42 - 00:08:48 : Speed of iteration: The ultimate founder advantage 00:08:48 - 00:12:46 : Unicorn playbook: 00:12:46 - 00:20:35 : Deal flow secrets: Scoring, signals, and global sourcing with AI 00:20:35 - 00:26:34 : Headline’s global roadmap strategy and industry watchlist 00:26:34 - 00:34:08 : The true trillion-dollar AI opportunity 00:34:08 - 00:42:20 : Secondaries, incentives, and cash: De-risking without losing hunger 00:42:20 - 00:49:12 : VC exits, liquidation prefs, and cap table traps to avoid 00:49:12 - 00:55:40 : Valuation games in the AI worldREFERENCES :- Arthur Mensch- Loïc Soubeyrand- Daniel Nathan- Christian Miele- Arthur Waller- Mistral AI- Black Forest Labs- Bioptimus- Harvey- Legora- Lovable- Grok- Swile- Pennylane- Homa Games
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Inside the playbook behind the podcast turned into a $400,000,000 venture fund - Harry Stebbings
Today on BILLIONS, I’m sitting down with Harry Stebbings — the guy who turned a microphone in his bedroom into a $400 million venture fund.He started The Twenty Minute VC as a teenager, and it became the place where the smartest founders of unicorns, and the world’s best investors all lined up to talk.In this episode, Harry opens up about the deals he missed, the unicorns he caught early like Linktree and Tripledot, and how he turned content into capital.If you’ve ever wondered how storytelling can build an empire, this is the playbook.TIMELINE : 00:00:00 - 00:03:36 : Turning content into deal flow: The 20VC playbook 00:03:36 - 00:06:26 : From obsession to insight: How Harry predicted the future of VC 00:06:26 - 00:09:03 : Why most VCs suck at content—and how to stand out 00:09:03 - 00:12:48 : $400M facepalms: Inside Harry’s biggest investment regrets 00:12:48 - 00:17:35 : What separates great founders from everyone else 00:17:35 - 00:27:50 : Building the fund: Raising $8M from a podcast mic to $400M 00:27:50 - 00:36:22 : The underrated VC weapon: High-impact content as revenue driver 00:36:22 - 00:44:52 : Going public vs staying private: Who really wins? 00:44:52 - 00:58:52 : Charisma, crisis, and credibility: The raw truth about founder DNA 00:58:52 - 01:04:23 : Bullish on Europe: Beating Silicon Valley at its own gameREFERENCES : - Peter Thiel- Michael Moritz- Alex Bouaziz (Deel)- Christina Cacioppo (Vanta)- Peter Fenton- Daniel Ek- Nick Storonsky - Marc Benioff- Guy Kawasaki- Steve Ballmer- Thibault Elziere - Torsten Reil- Mati Staniszewski- 20VC- Project Europe- a16z
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From building a multi-billion dollar company to General Partner at the world’s top startup incubator
Today on BILLIONS, I’m sitting down with Nicolas Dessaigne — the engineer who bet everything on one idea, built Algolia into a multi-billion-dollar global search platform… and then did something almost no founder ever does:he walked away.Nicolas went from obsessing over one company for a decade… to shaping hundreds of startups every year as a General Partner at Y Combinator, the most influential accelerator on the planet.In this episode, we will talk about why he left Algolia, how founders should think about liquidity, what really happens inside YC, and why the next wave of AI will be bigger — and stranger — than anyone expects.If you’ve ever wondered what happens when a unicorn founder switches sides and becomes the one choosing the next unicorns… this conversation will change the way you think about ambition, ego, and the future of startups.TIMELINE :00:00:00 - 00:06:39: Why I walked away from my billion-dollar company00:06:39 - 00:11:46: The brutal truth about founder liquidity and secondary sales00:11:46 - 00:17:35: Inside YC's investment strategy and partner dynamics00:17:35 - 00:22:31: How to spot the next unicorn founders before anyone else00:22:31 - 00:28:02: The AI company revolution happening right now00:28:02 - 00:34:50: Why your kids will outperform you with AI superpowers00:34:50 - 00:40:47: Robotics and the future of physical AI agents00:40:47 - 00:46:09: The model wars - who's really winning the AI race00:46:09 - 00:51:04: Why Google shocked everyone and OpenAI's real advantage00:51:04 - 00:54:44: The counterintuitive way to find billion-dollar startup ideasREFERENCES : - Bryan Onel, Oneleet founder - François Chollet, ARC Prize founder- Yann LeCun- Y Combinator
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The CMO who built a billion-dollar brand - and what he got in return - Udi Ledergor
Most marketers dream of having Gong’s billion dollar brand. But few realize that behind every courageous campaign, there’s an even more courageous marketer. In today’s episode of BILLIONS I have the pleasure to interview Udi Ledegor, chief evangelist and former CMO at Gong.I’ve known Udi for a few years now, and not only I’ve always been super impressed by how Gong’s brand is so unique but also by how great of a piano player Udi is!Udi thanks a lot for joining me today!Timeline :00:00:00 - 00:01:00 : How gong became a billion-dollar brand (before the revenue)00:01:00 - 00:04:38 : Punching above your weight: gong’s billboard strategy playbook00:04:38 - 00:07:26 : The viral formula: what makes content spread like fire00:07:26 - 00:11:26 : Gong labs content series: 1.5 people, zero excuses, maximum impact00:11:26 - 00:14:20 : Why content > distribution: rethinking roi the gong way00:14:20 - 00:17:19 : Turning content into pipeline: metrics, gating, and reciprocity00:17:19 - 00:21:44 : From free to unstoppable: scaling organic marketing and thought leadership00:21:44 - 00:27:04 : Super bowl ad on a startup budget: the story behind gong’s boldest move00:27:04 - 00:35:21 : Going enterprise: how gong landed fortune 10 clients (and what changed)00:35:21 - 00:49:38 : Retention, equity, and billion-dollar thinking as a non-founder execReferences :Courageous Marketing: The B2B Marketer's Playbook for Career Success by Udi LedergorKyle Lacy - CMO at DoceboMoneyball: The Art of Winning an Unfair Game by Michael LewCrossing the Chasm by Geoffrey Moore - Classic business book about bridging early adopters to early majorityMade to Stick by Dan Heath and Keith Heath - About principles of viral content and what makes things memorableThe Tipping Point: How Little Things Can Make a Big Difference by Malcolm Gladwell - About what becomes a trend and viral phenomenaInfluence, New and Expanded: The Essential Guide to the Psychology of Influence and Persuasion in Everyday Life by Robert Cialdini - Psychology book about persuasion, specifically reciprocity effect
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ABOUT THIS SHOW
After building my company to a $150M valuation in 4 years, I had one question left: How do you build a billion-dollar company? I’m Guillaume Moubeche, and on the BILLIONS Podcast, I’m taking you inside the room with the world’s most iconic builders, founders, and investors to find the answer. This is more than just another startup podcast; it’s a masterclass in high-growth SaaS, AI implementation, and wealth creation.From SaaS growth strategies and AI Agent pivots to the raw truth behind venture capital and exit strategies, we go where others don't.What you’ll learn on BILLIONS:SaaS Scal
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Guillaume Moubeche
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