The Lobster Talks Podcast by Lobster Capital

How Firebase co-founder Andrew Lee pivoted his way to a $175M valuation and why Big Tech threats shouldn't scare you. Building a massive venture-scale business requires finding acute customer pain, even if it means pivoting away from years of work. Serial founder Andrew Lee shares how he built and sold Firebase to Google, ran into the realities of corporate inertia, and returned to Y Combinator to build Tasklet, an AI command center burning millions on inference.  We cover why investor hype follows extreme growth rates, why incumbents move slower than you think, and how to stay ahead of model providers like OpenAI and Anthropic. What you will learn: How a customer development call transformed a struggling chat app into FirebaseWhy Google's threats to build competing products are usually emptyThe exact metrics Tasklet used to raise at a $175M valuation before Demo DayHow to avoid getting wiped out by frontier models from Anthropic and OpenAIWhy 100% month-over-month growth rate trumps total run rate every single time 📌 Watch now and subscribe for more smart, fast, founder-first interviews. Chapters:  00:00 $30M Inference Teaser 00:14 Meet Andrew Lee 02:25 From Chat to Firebase 05:31 Demo Day Misstep 08:09 Early Checks and Runway 10:45 Why Return to YC 18:34 Tasklet Explained 21:47 Beyond Chat Interfaces 23:05 Future of Software Companies 24:11 YC Roaster Ad Break 24:51 Next Big Question 24:56 Competing With Claude 25:51 Why Tasklet Wins 26:55 Model Marketplace Bet 28:30 Traction Growth Advice 29:18 Painkiller Problems 31:41 Idea Maze Grind 32:46 Timing The Pivot 34:45 Raising Early In YC 38:21 Bigco Threat Reality 39:15 Google Acquisition Lessons 42:24 Carving Niches To Win 45:37 Founder Focus Exception 47:12 Stay Out Of Their Way 48:35 Wrap Up And Links 🎧 Listen on the go:  Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP  Apple: https://apple.co/4cZ8RMm  My other YouTube Channel: https://www.youtube.com/@lobstercap This Lobster Talks episode is brought to you by YC Roaster, a free tool helping founders improve their YC applications.  🔗 https://ycroaster.com

AI-native startups are no longer selling software to incumbents; they are replacing them completely to capture full margin. Vincent, CEO of Penta, breaks down how he abandoned traditional SaaS to build an AI-native commercial insurance brokerage. We explore why legacy brokers are anti-efficiency, how AI collapses back-office overhead by 90%, and why lean teams of two founders can comfortably scale past $10M ARR. What you will learn: - Why traditional SaaS sales fail in legacy industries and how full-stack replacement wins. - How AI natively shrinks back-office headcount to 1/10th of traditional insurance operations. - The exact unit economics behind 3x productivity gains per headcount. - Why legacy carriers are structurally disincentivized from adopting efficiency tools. - How to leverage AI loops to replace manual human workflows across professional services. 📌 Watch now and subscribe for more smart, fast, founder-first interviews. Chapters: 00:00 AI Replaces Workers 00:29 Meet Penta Founder 01:16 Why Brokers Reject SaaS 02:52 What AI Native Means 05:17 Margins and Distribution 07:27 Legacy Company Playbook 09:48 Self Improving AI Loops 10:50 Next Industries to Disrupt 13:11 Corgi and Market Hype 14:38 How Brokers Work Today 16:43 Scaling Back Office with AI 18:35 Can Carriers Go AI Native 21:02 Regulation Blocks Efficiency 21:39 Insurance Pricing Reality 21:58 Middleman Speed Problem 22:34 AI Fixes Broker Errors 23:31 Hiring and Getting Covered 23:49 Tiny Teams Big Revenue 26:28 Broker Model vs SaaS 27:15 AI Native Unit Economics 29:58 Jobs Displaced by AI 30:53 Humans as Bot Workarounds 32:44 Abundance vs Job Loss 34:10 Hacker House to YC 38:17 Finding Penta Online 38:35 Final Thanks and Wrap 🎧 Listen on the go: Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP Apple: https://apple.co/4cZ8RMm My other YouTube Channel: https://www.youtube.com/@lobstercap This Lobster Talks episode is brought to you by YC Roaster, a free tool helping founders improve their YC applications. 🔗 https://ycroaster.com

This YC biotech startup built a genetic kill switch to end cancer. Here is how 3 Oxford PhDs cracked the platform. FinalDose is taking on a $5 trillion market by shifting from traditional search-and-edit gene therapies to search-and-destroy target architectures. By combining CRISPR shape-change mechanics with frontier AI models, they prove how hardware constraints dissolve when software timelines hit deeptech. We sit down with the founders to breakdown their foundational patent, YC batch execution, and the timeline to commercialization. What you will learn: - Why 60 years of targeted protein pharma missed the underlying DNA driver signature - How FinalDose engineered a Cas9 conformational shape change into a cellular kill switch - The exact framework used to validate their platform in just 40 days during YC - How AI models collapse drug discovery costs by 10X and accelerate timelines by 3X - The delivery vectors needed to clear targeted organs like the liver, lung, and skin - How mutation burden per year dictates the biological ceiling for human longevity 📌 Watch now and subscribe for more smart, fast, founder-first interviews. 00:00 Intro 00:18 The $5 Trillion Thesis: Ending Cancer 02:11 Why 60 Years of Pharma Targeted the Wrong Mechanism 04:08 The Eureka Moment: Turning CRISPR into a Kill Switch 06:12 The AI Unlock: Harnessing Conformational Changes 08:04 How YC Forced a Bio Startup onto Software Timelines 10:14 Defending a Foundational Patent Against Big Pharma 13:16 Solving the Specificity and Delivery Bottlenecks 16:11 Can We Delete DNA Damage to Live 300 Years? 19:15 10x Cheaper, 3x Faster: The New Bio Playbook 🎧 Listen on the go: Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP Apple: https://apple.co/4cZ8RMm My other YouTube Channel: https://www.youtube.com/@lobstercap This Lobster Talks episode is brought to you by YC Roaster, a free tool helping founders improve their YC applications. 🔗 https://ycroaster.com

This YC biotech startup built a genetic kill switch to end cancer. Here is how 3 Oxford PhDs cracked the platform. FinalDose is taking on a $5 trillion market by shifting from traditional search-and-edit gene therapies to search-and-destroy target architectures. By combining CRISPR shape-change mechanics with frontier AI models, they prove how hardware constraints dissolve when software timelines hit deeptech. We sit down with the founders to breakdown their foundational patent, YC batch execution, and the timeline to commercialization. What you will learn: - Why 60 years of targeted protein pharma missed the underlying DNA driver signature - How FinalDose engineered a Cas9 conformational shape change into a cellular kill switch - The exact framework used to validate their platform in just 40 days during YC - How AI models collapse drug discovery costs by 10X and accelerate timelines by 3X - The delivery vectors needed to clear targeted organs like the liver, lung, and skin - How mutation burden per year dictates the biological ceiling for human longevity 📌 Watch now and subscribe for more smart, fast, founder-first interviews. 00:00 Intro 00:18 The $5 Trillion Thesis: Ending Cancer 02:11 Why 60 Years of Pharma Targeted the Wrong Mechanism 04:08 The Eureka Moment: Turning CRISPR into a Kill Switch 06:12 The AI Unlock: Harnessing Conformational Changes 08:04 How YC Forced a Bio Startup onto Software Timelines 10:14 Defending a Foundational Patent Against Big Pharma 13:16 Solving the Specificity and Delivery Bottlenecks 16:11 Can We Delete DNA Damage to Live 300 Years? 19:15 10x Cheaper, 3x Faster: The New Bio Playbook 🎧 Listen on the go: Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP Apple: https://apple.co/4cZ8RMm My other YouTube Channel: https://www.youtube.com/@lobstercap This Lobster Talks episode is brought to you by YC Roaster, a free tool helping founders improve their YC applications. 🔗 https://ycroaster.com

The first AI founder in YC history doesn't sell software. He converts tokens directly into capital at a 3x return. Most founders sell tools. Thomas built an autonomous entity that hires itself out for digital labor, collects payments, and reinvests the profit into compute. We break down the unit economics of token arbitrage, why selling AI software is a strategic error, and how OpenAI and Anthropic are bankrolling YC batch startups with millions in free compute. What you will learn: - What token arbitrage looks like when converting compute into a 3x cash return - Why selling autonomous profits as a SaaS product destroys enterprise value - How the OpenAI $2M uncapped SAFE token deal impacts YC startup dilution - Why domain data moats protect agentic companies from frontier lab cannibalization - The precise balance between RL exploration and exploitation in revenue models - How human founders scale engineering loops while an AI manages ops 📌 Watch now and subscribe for more smart, fast, founder-first interviews. TIMESTAMPS: 00:00 Meet Thomas AI Founder 01:16 Why AI Led Companies 01:37 Virtual Human Money Maker 02:35 How Thomas Earns Today 03:30 Tokens to Profit Loop 05:22 Future Economy And Redistribution 06:20 Why Not Sell Thomas 09:16 Can Labs Copy This 12:06 Why Personify Thomas 15:47 Safety Guardrails And Open Source 19:49 Scaling Tokens And Machines 21:49 Token Budget Strategy 22:30 Scaling ROI Carefully 23:51 Unlimited Tokens Experiment 24:49 Delayed Learning Signals 25:20 Agents and Instant Payments 26:05 No Human Nudges Rule 27:11 Exploration Versus Greed 28:22 Tracking Thomas Publicly 29:18 Fundraising and Margins 32:31 Hiring for Learning Loop 34:22 Money as Value Proxy 37:18 Deploying AGI at Scale 39:08 YC and AI Founders Future 42:00 Investor Reactions and Wrap 🎧 Listen on the go: Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP Apple: https://apple.co/4cZ8RMm My other YouTube Channel: https://www.youtube.com/@lobstercap This Lobster Talks episode is brought to you by YC Roaster, a free tool helping founders improve their YC applications. 🔗 https://ycroaster.com

Juno reached 20,000 daily active users with AI health tracking, took $2M from OpenAI, and cracked consumer growth. Here’s how. In this episode, I sit down with Marshall Gold, founder of Juno (YC Spring 26), to unpack how an Oxford genetics researcher turned personal health struggles into one of the standout consumer apps of the batch.  They break down the mechanics of consumer AI virality, why user-generated content ads are hitting a ceiling, and how $2M in OpenAI compute subsidizes their free tier. What you will learn: Why the average chronic illness diagnosis takes 7.6 years and how AI changes the mathHow Juno scaled past 100K signups and 20K DAUs with zero headcount expansionThe exact playbook for transitioning from paid user acquisition to organic loopsWhy UGC marketing fatigue will hit consumer apps over the next 12 monthsHow to structure $2M in compute credits to drive free-tier user referral enginesThe strategic rationale behind local edge models for patient privacy 📌 Watch now and subscribe for more smart, fast, founder-first interviews. TIMESTAMPS: 00:00 Seven Year Diagnosis Problem 00:07 Meet Juno Founder 01:01 Podcast Intro and Stakes 01:55 Marshall Health Journey 02:54 Chronic Illness Social Media 04:06 From Community to Product 05:43 Patient Interviews and YC 06:51 What Juno Actually Does 09:37 Why It Spreads Fast 10:27 Organic Growth Playbook 13:03 UGC Growth Is Fading 15:15 Engineering Virality Features 18:41 OpenAI Token Deal Explained 19:31 Scaling Costs and Free Tier 21:23 When Tokens Run Out 21:58 Edge Models and Privacy 22:50 When Phones Run LLMs 24:18 Scaling Growth Loops 27:54 B2C Versus B2B Virality 33:06 Consumer Growth Plateau 34:34 AI Personalization for Chronic Illness 35:41 OpenAI Health Competition 38:57 Apps Versus Superapps 40:22 Anthropic Case Study 42:31 Where to Find Juno 🎧 Listen on the go: Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP  Apple: https://apple.co/4cZ8RMm  My other YouTube Channel: https://www.youtube.com/@lobstercap This Lobster Talks episode is brought to you by YC Roaster, a free tool helping founders improve their YC applications.  🔗 https://ycroaster.com

Most founders think identity verification is just a boring compliance box. Alberto Rosas, CEO of Didit, flipped the script by offering a developer-first freemium model that took the US market by storm. In this episode, we unpack how Didit is using product-led growth to scale an infrastructure play that could outgrow the online payments market. What you will learn: - How Didit cloned the exact developer-first playbook Stripe used to hit a $100B scale - The exact mechanics of cracking PLG in a highly regulated, historically opaque industry - Why the explosion of AI bots will force humans to verify their identity multiple times a day - The structural reason why blockchain is completely inefficient for digital identity protocols - The 20x fundraising arbitrage: A raw look at raising capital in Europe versus Y Combinator Demo Day 📌 Watch now and subscribe for more smart, fast, founder-first interviews. Chapters 00:00 Playing the Big Leagues 00:22 Meet Didit and the Big Bet 01:22 Stripe for Identity 03:17 New Use Cases Beyond Compliance 09:16 AI Fraud and Daily Verification 12:44 Trust Scores and Identity Wallets 16:10 Does Identity Need Blockchain 19:11 Why Join Y Combinator 20:31 Moving to the US for Scale 24:38 YC Roaster Sponsor Break 25:44 YC Network Shortcut 26:19 Credibility And Access 27:40 Inside The YC Batch 29:15 Fundraising 20x Easier 29:41 Why YC Is Unique 31:21 Product Led Growth Basics 33:07 GTM Intuition Over Tests 36:51 Frictionless Transparent Product 39:10 Iterate Fast To Win 43:53 Big Vision And Predictions 45:17 Where To Find Didit 46:11 Final Thanks And Subscribe 🎧 Listen on the go: Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP Apple: https://apple.co/4cZ8RMm My other YouTube Channel: https://www.youtube.com/@lobstercap This Lobster Talks episode is brought to you by YC Roaster, a free tool helping founders improve their YC applications. 🔗 https://ycroaster.com

Suhail, founder of LunaBill, builds voice AI that automates hospital billing calls and recovers lost payments. He explains how insurers use long holds to kill claims. He describes taking an industry job to learn workflows, scaling voice into full revenue-cycle automation, and why AI can unstick legacy healthcare systems.

Silicon Valley loves software, but the massive gains of the next decade belong to atoms. Fleetzero founder Steven Henderson joined YC to solve a multi-billion dollar problem: decarbonizing ocean freight without crushing the global economy. By redesigning cargo ships from scratch, eliminating onboard crew infrastructure, and deploying massive battery hybrids, Fleetzero is undercutting diesel on pure unit economics. What you will learn: - The exact math behind a 5,200 nautical mile voyage on a single battery charge. - Why alternative green fuels like ammonia and methanol will cause global shipping costs to skyrocket. - How removing human crew quarters slashes ship construction CapEx by 60% to 80%. - The contrarian wedge strategy of using hybrid ports to fund infrastructure build-outs. - How to raise capital from top-tier VCs as a total Silicon Valley outsider. 📌 Watch now and subscribe for more smart, fast, founder-first interviews. Chapters: 00:00 Maersk Comes Around 00:26 Meet Fleetzero 01:11 Ships as Robots Vision 02:06 Why Electric Enables Remote 02:36 Maintenance Is the Real Job 04:30 Autopilot Today Edge Cases 05:24 Cheaper Safer Cleaner Future 08:56 Humans Still in Loop 09:55 Crew Numbers and Lookout Rule 11:07 Octopod Teleoperation Demo 12:39 Batteries and Port Charging 15:20 Hybrid Wedge for Infrastructure 17:33 Beyond Batteries Nuclear Fusion 21:11 Piracy and Security Angle 23:04 Sea Power and Shipbuilding Decline 24:28 Sea Power Revival 25:31 Crew Costs Shock 27:57 Zero Crew Ships 29:18 Product First Strategy 31:08 Partner Not Shipyard 32:08 Maersk Turns Ally 34:16 Contrarian Investing Talk 37:13 YC Network Playbook 41:57 Hiring In Houston 44:14 Roadmap And Wrap 🎧 Listen on the go: Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP Apple: https://apple.co/4cZ8RMm My other YouTube Channel: https://www.youtube.com/@lobstercap This Lobster Talks episode is brought to you by YC Roaster, a free tool helping founders improve their YC applications. 🔗 https://ycroaster.com

The boots on the ground download from YC P26 Demo Day in San Francisco shows the macro venture market is shifting fast. We sit down right after talking to founders on the floor to analyze the wild valuation spikes, the hardware renaissance, and the new breed of post revenue companies utilizing the accelerator. Learn why the traditional boundaries of seed and Series A are completely dissolving. What you will learn: The math behind the latest 500 million dollar YC valuationsWhy companies with 1 million plus ARR are giving away 7 percent equityHow in silico simulations are dropping biotech R&D costs from millions to hundreds of dollarsThe operational mechanics of an AI running a company with a human legal proxyWhy Standard Capital and others are building the next framework for Series A cohorts 📌 Watch now and subscribe for more smart, fast, founder-first interviews. Chapters:  00:00 Valuations Feel Crazy 00:20 Demo Day Debrief Setup 01:14 YC Rhythm And Energy 02:38 Bubble Talk And Big Rounds 04:32 Hardware Is Back 08:25 YC As A Growth Hack 11:16 Post PMF YC Debate 15:12 How Investors Price Risk 18:28 AI Meets Bio Breakthroughs 27:22 Fund Timelines And Patience 30:50 The World Accelerates Fast 34:04 AI Run Companies At YC 38:52 Wrap Up And Sign Off 🎧 Listen on the go:  Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP  Apple: https://apple.co/4cZ8RMm  My other YouTube Channel: https://www.youtube.com/@lobstercap This Lobster Talks episode is brought to you by YC Roaster, a free tool helping founders improve their YC applications.  🔗 https://ycroaster.com