Annie Liao (@AnnieLiao_2000) started Build Club (@buildclub_) as friends co-working at a Starbucks on weekends. Three years later it has 70,000 builders across 60 cities, and she runs the city lead program herself with AI. She went from data and AI at Westpac to BCG, venture capital and Relevant AI. Now she’s building Solaris (@solaris_ai_), a personal AI coach for every employee at a company. Solaris has only been in market for four months, works with Singtel, and runs on a team of five. On today’s episode: why looksmaxxing and aura might be the next business edge, what Build Club learned from the church about scaling a community, why a training platform can’t fix AI adoption, and the most overrated AI skill. Timestamps 0:00 - Intro 0:45 - Hot Takes: Looks, Aura & Competitive Advantage 2:16 - What is "Taste" in the AI Era? 4:00 - Origin Story of Build Club 5:24 - Getting "AI Pilled" 10:11 - Scaling Community from 10 to 100 12:10 - What is Build Club? 17:42 - From Community to Product: Starting Solaris 19:24 - Biggest Pushback from Companies 29:41 - Rapid Fire Round

Roman Czerny (@romanbuildsaas) sold his first SaaS, Coco AI, for a seven-figure exit at 28, built on just $500 to start. His next attempt pulled 2,000 people onto a waitlist but converted zero, so he pivoted into GojiBerry AI (@gojiberryai) instead, a platform that finds high-intent leads and lets AI agents contact them. GojiBerry went from $0 to $4M ARR in one year, crossing $1M ARR before joining Y Combinator. On today's episode: why AI SDRs don't actually work yet, the pitch that made people pay before the product even existed, and how running six X accounts and twelve marketing channels at once became their growth engine. Timestamps 0:00 Intro 1:00 Hot Take: AI SDRs Don't Fully Work 2:32 Roman's Entrepreneurial Journey 5:30 Choosing the Right SaaS Category 6:23 B2C vs B2B for First-Time Founders 7:09 Bootstrapping with Only $500 13:53 How GojiBerry Works (Product Demo) 15:03 $0 to $4M ARR: The Growth Story 16:45 12 Acquisition Channels & Marketing Strategy 22:30 Why We Joined YC After $1M ARR

Filip Panoski (@FilipPanoski) spent seven years building five different products with zero traction, before quitting a $7,000/month developer job to go all in on his sixth attempt. That attempt became Bazzly (@bazzlyai), a solo SaaS that promotes companies on Reddit on autopilot, now doing $15,000/month. On today's episode: why distribution is overrated past a certain stage, the cold DM template that landed his first users and his business partner, and the six months of near-zero certainty it took to fix a 40% churn rate. Timestamps: 0:00 Intro, Filip & Bazzly 1:03 Hot Take: Distribution Is Overrated 3:12 Seven Years, Five Failed Products 5:52 Finding a Recurring Pain Point 9:34 Building a Waitlist & DMing Strangers 10:18 The First Cold DMs 11:14 What Makes a Good Cold DM 12:11 Quitting the Job 13:52 "Get Customers From Reddit On Autopilot" 15:30 How Bazzly Actually Works 16:49 $100 MRR to $1,000 MRR in Two Months 18:22 Fixing the Core Offer 20:39 Six Months on Savings, No Certainty 22:01 Partnering With Tibo 24:28 Pricing a B2B Product 25:59 The Goal: $100K MRR 26:44 Why Staying Bootstrapped 29:24 A World Where Bots Outnumber Humans 31:00 The Most Underrated Way to Get Customers 32:55 Rapid Fire Questions

Christine (@0xsexybanana), co-founder of Axis Robotics spent eight years ago studying mechanical engineering and working with ABB and KUKA robots before pivoting through stablecoin payments and landing on physical AI data. @axisrobotics has raised $12M to build a distributed training engine where anyone with a browser can teach robots. The network already has 200,000+ contributors and a dataset of 50,000+ robot trajectories across 207 tasks. On today's episode: why noisy human data beats "perfect" AI data, why simulation might be the key to physical AI's GPT moment, and the uncomfortable truth about people getting paid to train the robots that'll eventually replace them. Timestamps: 0:00 Intro: Building the Data Layer Behind Physical AI 1:34 Hot Take: Noisy Data vs. Perfect Data 3:16 Why Simulation Data Will Bring the GPT Moment for Robotics 7:25 From Stablecoin Payments to Robotics Data 10:08 Why Axis Chose Data Over Building Robots 16:10 Live Demo: Training a Robot Arm Like Playing FIFA 24:02 How Contributors Get Paid (Tokens + Stablecoin) 26:42 Inside the $12M Seed Round Pitch 32:08 200K+ Contributors & Viral Growth via @base 38:38 Sim-to-Real: The Living Data Engine 41:34 Token & Web3 Plans for Axis Robotics 43:00 Rapid Fire Questions

Kiko Zang (@kikochomps) spent three years as COO of Orca, one of Solana's largest DEXs, before leaving to build Chomp (@chompdotfyi), a social game where users predict what everyone else really thinks. The first version hit 50,000 users and 2 million+ answers, and she's since raised $3.6M to build it out further. On today's episode: why AI taking every job might be a good thing, the algorithm that predicted Trump's win before the 2024 election, and the belief graph she's using to map what the world actually believes. Timestamps: 0:00 - Intro & Welcome 2:07 - Spicy Take: AI Will Take All Our Jobs 4:00 - Work Culture & Sleep Habits 5:37 - Self-Expression as the New Currency 7:04 - Kiko's Origin Story: From China to the World 15:19 - Leaving @orca_so & the DAO Governance Dream 20:47 - What Crypto Reveals About Human Behavior 28:44 - The Surprisingly Popular Algorithm & Election Prediction 42:39 - Growth Strategy & Leaving Crypto Behind 59:02 - Rapid Fire Questions & Closing

Firuz Alimov (@firalim) spent two decades in banking, finance, and consulting before co-founding Aether Builders, where he helps companies redesign their operations with AI and automation. He's consulted for 1,500+ companies and built and owned 60 himself. On today's episode: why "everything AI" is a trap, the $15K AI bill that made a Malaysian company quietly rehire humans, and the humanoid pitch that got him kicked out of a VC's room. 0:00 Intro & Guest Background 1:07 The "Everything AI" Problem 2:07 AI in Medicine: From NLP to LLMs 5:36 Humanoid Robots in Everyday Life 8:40 Building Aether Builders: $10M AI Transformations 10:31 Early AI Journey: OpenAI Playground to Video Generation 12:49 AI's Impact on Jobs & Industrial Revolution 15:44 Consulting 1,500+ Companies: Root Cause Analysis 29:49 Southeast Asia's AI Advantage 39:17 Rapid Fire Round