A Product Market Fit Show | Startup Podcast for Founders

Anurag was employee #8 at Stripe, set for life and free to do anything next. Instead he spent a year and a half hunting for a problem worth decades of his life. He chose to build a product to make it simple for developers to ship apps, going head-to-head with AWS.
In this episode, Anurag breaks down how he hit $10M ARR in 4 years with zero marketing spend, why refusing to launch a free tier was his most expensive mistake, and how putting engineers on customer support rotations quietly shaped the entire product roadmap.
Why You Should Listen
Why you don't have real product market fit until your users sell the product for you.
How a sub-2-minute setup turned developers into a word-of-mouth machine.
Why skipping a free tier for years was his most expensive mistake.
How engineers doing support on rotation built the roadmap—and 6M+ developers.
Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, developer tools, cloud infrastructure, PaaS, Render, word of mouth growth, product-led growth, AI infrastructure, Stripe

Chapters
00:00:00 Intro
00:01:44 The Moment of True Product Market Fit
00:04:14 The #1 Driver of Word of Mouth
00:13:25 Why He Left Stripe to Build Render
00:23:48 Why AWS Would Never Build This
00:30:33 $10M ARR With No Marketing Spend
00:36:43 Engineers as the Support Team
00:42:19 Riding the AI Boom
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George had to wind down his last startup and give investors their money back. He went deep into the valley of despair, certain he'd missed his window to build something big. Then he met a co-founder, decided to start over, and started selling.
In this episode, George breaks down how a customer signed a $36K pilot off nothing but a Loom and a one-pager, how cold email took him from zero to $1M ARR with no sales team, and why a "seven out of ten" is the most dangerous hire you can make.
Why You Should Listen
How a customer signed a $36K pilot after a single Loom and zero calls.
Why he gave the money back on his last startup—and what "follow your energy" really means.
How cold outbound email built his first $1M ARR with no sales team.
Why a "seven out of ten" is the most dangerous hire you can make.
Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, fintech, accounts receivable automation, AI agents, cold outbound email, B2B SaaS, Series A fundraising, services as software

Chapters
00:00:00 Intro
00:01:39 The Moment of True Product Market Fit
00:03:33 Shutting Down a Small-Market Startup
00:07:44 Picking Fintech From Five Ideas
00:17:12 From Black Box to Full App
00:24:47 $1M ARR on Cold Email Alone
00:36:11 Why a "Seven" Is the Most Dangerous Hire
00:42:15 Compressing a $25M Series A
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Dan founded and scaled a $50M ARR, SoftBank-backed startup—and could've stayed to make tens of millions. Instead, he handed it to his chief of staff and started from scratch. He wanted something bigger. He took an entry-level paralegal job to learn everything about law hands on. Then he built Manifest, which just raised a $60M Series A.
In this episode, Dan breaks down why he did intake calls for 1,000 legal clients before building anything, how free Slack communities turned Fortune 500 HR managers into buyers without a dollar of ads, and why he refused to sell software to law firms even when investors told him he was crazy.
Why You Should Listen
How 2 months working as a paralegal beat years of customer discovery.
How free Slack communities turned Fortune 500 HR managers into clients.
Why earned media compounds like an asset while paid ads burn like an expense.
Why impact is the best driver for starting startups.
Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, legal tech, legal AI, AI-native law firm, immigration law, services as software, community-led growth, earned media, customer discovery, Dan Mishin, Manifest

Chapters
00:00:00 Intro
00:06:34 Walking Away from $50M ARR
00:13:12 Why Immigration Law Has AI Leverage
00:18:01 The AI-Native Law Firm Model
00:21:49 1,000 Intake Calls Before Building Anything
00:30:21 Turning Free Communities Into Buyers
00:37:20 Earned Media That Compounds
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Ali quit his job a few months after ChatGPT launched, convinced AI would eat labor marketplaces like Upwork. With no co-founder and no code, he collected $12K from real customers—using a faked demo and a cloned voice. Then he pitched 100 VCs in 10 days and got 47 straight 'no's.
In this episode, Ali breaks down how he banked $12K in revenue before writing a single line of code, how a $20/month Slack community drove Amigo's first $1M in ARR, and why he churned every existing customer to go all-in on $100K+ healthcare enterprise deals.
Why You Should Listen
Why validation only counts when dollars exchange hands.
How a $20/month paid community turned into $1M in ARR.
Why he refunded every customer and churned 100% of his revenue.
Why founders must sell the first $2M themselves before hiring an AE.
Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, AI agents, healthcare AI, enterprise sales, pre-seed fundraising, community-led growth, customer validation, pivot, Amigo AI
Chapters
00:00:00 Intro
00:08:37 From Upwork to Starting Amigo
00:13:30 $12K in Revenue Before Writing Code
00:23:24 Pitching 100 VCs in 10 Days
00:30:20 47 No's—Then FOMO Took Over
00:37:12 The $20/Month Community Behind the First $1M
00:45:47 Churning 100% of Revenue on Purpose
00:01:49 The Moment of True Product Market Fit
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Mark was running a startup out of a tiny annex office in Dublin with zero product usage. Then one customer turned it on and overnight he saw usage spike to thousands of simulations. He got to $1M ARR 100% through outbound, by sending 500,000 cold emails. A few months ago he closed a $25M Series A.
In this episode, Mark breaks down the pivot from sales roleplay to customer support that unlocked his first real traction, the cold outbound playbook that took him to $1M ARR (500K emails, 250 meetings, 40 customers), and why doorstepping customers in Utah is what drove his net revenue retention to 186%.
Why You Should Listen
Exactly how to use a cold outbound strategy to hit $1M ARR.
Why getting on 56 flights last year to visit customers led to 186% NRR.
How he closed a $25M Series A in just 6 days.
Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, AI startup, customer support, cold outbound, Y Combinator, Series A, enterprise sales, SaaS, Solid Road

Chapters
00:00:00 Intro
00:06:10 The Pivot From Sales to Customer Support
00:12:54 Why Moving to SF Changed Everything
00:22:34 Cold Outbound to $1M ARR
00:32:47 Doorstepping Customers for 186% NRR
00:39:17 Closing a $25M Series A in 6 Days
Send me a message to let me know what you think!