A Product Market Fit Show | Startup Podcast for Founders

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
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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was a software engineer who noticed a massive problem: accounting software for startups was broken, manual, and weeks out of date.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!

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
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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
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Ryan was a successful lawyer with a massive problem. He couldn't find a task management tool that worked for his firm, so he built one himself. He thought he'd solved the problem, but for 8 agonizing months, he couldn't sell a single subscription.
In this episode, Ryan breaks down the gritty reality of bootstrapping Filevine into a $3B legal tech startup doing over $200M in revenue. He shares how a random Instagram ad campaign ended his sales drought, how he fought off a Tiger Global-backed competitor built on Salesforce, and how he's completely rewriting his company's architecture to win the AI legal tech war against the likes of Harvey and Legora.
Why You Should Listen
How 8 months of zero sales almost broke him.
Why building customizability into your core product is the ultimate defense.
How to recruit top engineers when you have zero funding.
Why SMBs often have "beer money but champagne tastes."
How to pivot from SaaS to AI.
Keywords
startup podcast, startup podcast for founders, legaltech, product market fit, bootstrapping, B2B SaaS, enterprise sales, AI startup, founder story, finding pmf

00:00:00 Intro
00:07:20 Recruiting an Amazon Engineer with No Funding
00:11:52 The First Conference and the "Terrible" MVP
00:15:23 The Dark Months: Zero Sales from Cold Calling
00:19:28 The GTM that Saved the Company
00:27:36 Why In-Person Events Beat Cold Calling
00:36:19 Moving Upmarket to Avoid Demanding SMBs
00:37:32 Beating a $50M Salesforce-Backed Competitor
00:46:45 Rewriting Filevine for the AI Era
Send me a message to let me know what you think!