A Product Market Fit Show | Startup Podcast for Founders

He raised $41M in one year to replace enterprise accountants with AI. | Yogi Goel, Founder of Maxima

Yogi spent 20 years living the nightmare of enterprise accounting. As a senior finance leader at Rubrik, he watched highly paid professionals spend three weeks every month manually wrangling data into spreadsheets—a problem that caused mass burnout and multi-million dollar stock corrections. When ChatGPT launched, Yogi knew the technology was finally ready to solve the problem. In this episode, he breaks down how he left his executive track to found Maxima, how he landed massive enterprises like Scale AI and Rippling as early design partners, and why he managed to raise $41M from top-tier VCs like Kleiner Perkins and Redpoint before he even had a pitch deck. Why You Should Listen * How a 1st-time founder raised an $11M Seed and a $30M Series A in a year. * Why replacing accountants with AI is a bigger opportunity than replacing SaaS tools. * How to use the "Design Partner Playbook" to secure Fortune 500 customers. * Why charging for an MVP creates the friction you actually need to find true PMF. * The difference between selling "digital shelves" and selling "folded laundry" in the age of AI. Keywords startup podcast, startup podcast for founders, AI in accounting, enterprise SaaS, product market fit, finding pmf, raising seed round, raising series a, B2B sales, design partners 00:00:00 Intro 00:07:37 Leaving a CFO Track to Become a Founder 00:11:52 Raising an $11M Seed Round from Kleiner Perkins 00:20:07 The Design Partner Playbook 00:22:34 Why You Must Charge Your Early Design Partners 00:28:36 The Aha Moment for Product Market Fit 00:33:20 Selling "Folded Laundry" Instead of "Digital Shelves" 00:36:47 Raising a $30M Series A Pre-Emptively Send me a message to let me know what you think! [https://www.buzzsprout.com/1889238/fan_mail/new]

How he grew his AI startup from $2M to $20M ARR in 12 months. | Omar Haroun, Co-Founder of Eudia

Omar already built and sold an AI startup for over $100M. But when the generative AI wave hit, he realized the technology wasn't just the future of software—it was the future of labor. So he started Eudia to completely transform how enterprise legal teams operate. In this episode, Omar breaks down how he scaled from $2M to $20M ARR in just 12 months. He reveals the exact cold email strategy he used to land C-suite design partners, why he bought an existing legal services company to accelerate his AI platform, and why replacing human labor with AI is the ultimate business model. Why You Should Listen * Why selling AI as a service is a much bigger opportunity than selling SaaS. * How to secure Fortune 500 design partners using cold emails. * Why playing to win beats playing not to lose. * How to build a data moat that AI wrappers can't compete with. * Why ARR shouldn't be your only measure of startup success in the AI era. Keywords startup podcast, startup podcast for founders, AI startups, product market fit, AI enabled services, legaltech, B2B SaaS, enterprise sales, finding pmf, generative AI 00:00:00 Intro 00:01:45 Why AI is the Future of Labor 00:04:55 Replacing In-House vs. Outsourced Legal Teams 00:09:35 Selling His First AI Startup for $100M 00:12:11 Why the $1 Trillion Law Firm Industry is at Risk 00:21:59 Landing Fortune 500 Design Partners via Cold Email 00:28:26 Playing to Win vs. Playing Not to Lose 00:33:45 Raising a $6M Seed Round with an 80-Page Transcript 00:38:53 Buying a Legal Services Company to Accelerate Growth 00:44:55 Scaling from $2M to $20M ARR in 12 Months Send me a message to let me know what you think! [https://www.buzzsprout.com/1889238/fan_mail/new]

She raised $20M from Accel to replace QuickBooks with AI. | Helen Hastings, Founder of Quanta

Helen was a software engineer who noticed a massive problem: accounting software for startups was broken, manual, and weeks out of date. Instead of just building a shiny new dashboard on top of legacy platforms, she decided to completely replace the offshore accounting model with AI. In this episode, Helen breaks down how she raised a $4.7M seed round pre-product as a solo founder and why she chose to build an AI-enabled service instead of pure software. She reveals the exact user research playbook she used across 200 interviews, how to rebuild a monopoly like QuickBooks, why hitting product-market fit actually forced her to stop taking new customers, and how she raised a $15M Series A. Why You Should Listen * How to raise a $4.7M seed round as a solo founder with zero revenue. * Why building an AI-enabled service beats selling pure SaaS. * Why saying "yes" to too many customers will destroy your growth. * How to conduct 200 user interviews before writing a single line of code. * Why rebuilding a legacy monopoly is no longer a crazy idea. Keywords startup podcast, startup podcast for founders, product market fit, AI enabled services, fintech startup, user research, solo founder, raising seed round, B2B SaaS, finding pmf 00:00:00 Intro 00:02:13 The Origin Story 00:05:31 Doing 200 User Interviews Before Building 00:11:49 The "Magic Wand" Framework for User Research 00:14:33 Raising a $4.7M Seed as a Solo Founder 00:22:27 Why AI-Enabled Services Beat Pure SaaS 00:28:50 Rebuilding QuickBooks from Scratch 00:39:34 The Public Launch and PR Strategy 00:50:06 Why Saying "Yes" to Customers Hurt Growth 00:53:46 The Moment of True Product Market Fit Send me a message to let me know what you think! [https://www.buzzsprout.com/1889238/fan_mail/new]

He moved to the US with nothing. Now he does $750M ARR. | Mateo Marietti, Founder of CookUnity

Mateo had already built a successful food company in Argentina. But he wanted more. So he moved to New York with no network, no credibility, and a dream to build the "Spotify for Food." The first two years were messy. He nearly ran out of money multiple times, relied on corporate expense accounts to keep the lights on, and failed a major expansion into LA. But then, he noticed a strange behavior: some customers were ordering 10 meals at a time. That single insight led to a massive pivot, a partnership with world-class chefs, and eventually, a $750M run rate. In this episode, Mateo breaks down the gritty reality of building a marketplace from scratch, how to survive the "messy middle," and why sometimes you have to kill your revenue to save your company. Why You Should Listen * Why he shut down a $2M revenue stream to pivot to a model with $0 ARR. * How identifying the small group of users who would be "very disappointed" unlocked massive scale. * Why he failed at expanding the first time, but succeeded the second time by changing just one variable. Keywords startup podcast, startup podcast for founders, product market fit, food tech, marketplace startups, pivot, founder story, CookUnity, scaling a startup, immigrant founder 00:00:00 Intro 00:02:50 Moving from Argentina to New York 00:07:43 Why Leave a Successful Business? 00:13:37 The "Airbnb for Food" Vision 00:22:44 Faking Traction with Corporate Stipends 00:28:41 The $2M Pivot: Shutting Down On-Demand 00:34:54 Why Unit Economics Mattered More Than Revenue 00:42:14 The COVID Inflection Point & Chef Partnerships 00:48:09 Failing Fast in LA vs. Succeeding Later 00:51:54 The Moment of True Product Market Fit Send me a message to let me know what you think! [https://www.buzzsprout.com/twilio/text_messages/1889238/open_sms]

This 3x founder hit $1M ARR in 5 months. Here's his playbook. | Roy Moussa, Founder of GetVocal

Roy is a three-time founder who has cracked the code on enterprise AI. After selling his first company and realizing his second idea was too slow, he pivoted to solving a massive problem: customer service automation. In this episode, Roy breaks down how GetVocal went from zero to $1M ARR in just five months. He reveals the "Context Graph" technology that allows them to beat LLM wrappers, why he believes purely generative AI is useless for business, and how he turned a single deployment into an enterprise-wide contagion. Why You Should Listen * How to hit $1M ARR in 5 months with a single salesperson. * Why "Context Graphs" are the secret to building AI that doesn't hallucinate. * How to expand from a single agent to 80 agents across the enterprise. * The critical difference between Deterministic and Probabilistic AI  * Why starting with a personal passion project failed, but pivoting to enterprise worked. Keywords startup podcast, startup podcast for founders, product market fit, enterprise AI, customer service automation, finding pmf, context graphs, AI agents, B2B sales, Roy Moussa 00:00:00 Intro 00:02:29 From Engineer to 3-Time Founder 00:08:11 The Failed Pivot 00:12:49 Solving Sales Efficiency First 00:16:06 The Pivot to Customer Service 00:18:57 Why Chatbots Failed & The Hybrid AI Solution 00:25:43 What is a Context Graph? 00:34:46 The "Contagion" Effect: 80 Agents in 8 Weeks 00:39:34 Competing with Decagon & The Human-Centric Approach 00:41:58 Hitting $1M ARR in 5 Months Send me a message to let me know what you think! [https://www.buzzsprout.com/1889238/fan_mail/new]