Imagen de portada del espectáculo A Product Market Fit Show | Startup Podcast for Founders

A Product Market Fit Show | Startup Podcast for Founders

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Every founder has 1 goal: find product-market fit. We interview the world's most successful startup founders on the 0 to 1 part of their journeys. We've had the founders of Reddit, Gusto, Rappi, Glean, Cohere, Huntress, ID.me and many more. We go deep with entrepreneurs & VCs to provide detailed examples you can steal.  Our goal is to understand product-market fit better than anyone on the planet. Rated one of the world's top startup podcasts.

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290 episodios

Portada del episodio He shut down his last startup and gave the money back—then hit $1M ARR in 6 months. | George, Founder of Monk

He shut down his last startup and gave the money back—then hit $1M ARR in 6 months. | George, Founder of Monk

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 Send me a message to let me know what you think! [https://www.buzzsprout.com/1889238/fan_mail/new]

Ayer - 46 min
Portada del episodio He quit his $50M ARR startup to work as a paralegal—then raised a $60M Series A. | Dan Mishin, Founder of Manifest

He quit his $50M ARR startup to work as a paralegal—then raised a $60M Series A. | Dan Mishin, Founder of Manifest

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 Send me a message to let me know what you think! [https://www.buzzsprout.com/1889238/fan_mail/new]

15 de jun de 2026 - 42 min
Portada del episodio He churned 100% of his revenue on purpose—then grew 10x to $2M ARR in under 12 months. | Ali Khokhar, Founder of Amigo AI

He churned 100% of his revenue on purpose—then grew 10x to $2M ARR in under 12 months. | Ali Khokhar, Founder of Amigo AI

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 Send me a message to let me know what you think! [https://www.buzzsprout.com/1889238/fan_mail/new]

8 de jun de 2026 - 53 min
Portada del episodio He hit $1M ARR by sending 500,000 cold emails—then raised a $25M Series A in 6 days. | Mark Hughes, Co-Founder of Solidroad

He hit $1M ARR by sending 500,000 cold emails—then raised a $25M Series A in 6 days. | Mark Hughes, Co-Founder of Solidroad

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! [https://www.buzzsprout.com/1889238/fan_mail/new]

1 de jun de 2026 - 42 min
Portada del episodio Q1 2026 w/Carta: What you need to raise a Series A. | Peter Walker, Head of Insights at Carta

Q1 2026 w/Carta: What you need to raise a Series A. | Peter Walker, Head of Insights at Carta

The AI boom is making founders feel like the market is wide open, but the data tells a sharper story: valuations are up, round sizes are bigger, and the bar to “count” in a top-tier fund’s Monday meeting keeps rising. We sit down with Peter to translate Q1 2026 venture capital trends into founder reality, from seed-stage pricing distortions driven by AI infrastructure to the quieter pressure building across the rest of the startup market. We get specific on early-stage fundraising benchmarks and why Series A now looks riskier than many people assume. Median Series A valuations have climbed close to 2x in a few years, while typical raises jumped from roughly $8M to $10M to $13M to $15M. That changes everything: ownership targets, follow-on costs, and the outcome math that pushes investors (and founders) toward “decacorn-plus” expectations. If you are pitching $100M ARR as the endgame, you may already be behind. Then we zoom out to the forces shaping who wins: Bay Area gravity, a real valuation gap versus other hubs, and practical tactics like visiting the Bay to capture network effects without uprooting your life. We also dig into defensibility in AI application startups, where building is faster but competition is fiercer, plus the rise of smaller teams and solo founders, and what that means for hiring, equity, and motivation on early teams. Chapters * 00:00:00 LLM Hype And Bubble Warning * 00:02:13 Five Stars Then We Begin * 00:03:02 Seed Prices Spike In AI Infra * 00:07:10 2026 Benchmarks For Pre-Seed To A * 00:09:36 Series A Doubles And Exit Math * 00:12:54 Bay Area Gravity And Valuation Gap * 00:18:22 Defensibility Gets Harder In AI Apps * 00:23:22 Smaller Teams Solo Founders Talent Shifts * 00:35:20 VC Fund Shakeout And Final Share Ask Send me a message to let me know what you think! [https://www.buzzsprout.com/1889238/fan_mail/new]

25 de may de 2026 - 38 min
Soy muy de podcasts. Mientras hago la cama, mientras recojo la casa, mientras trabajo… Y en Podimo encuentro podcast que me encantan. De emprendimiento, de salid, de humor… De lo que quiera! Estoy encantada 👍
Soy muy de podcasts. Mientras hago la cama, mientras recojo la casa, mientras trabajo… Y en Podimo encuentro podcast que me encantan. De emprendimiento, de salid, de humor… De lo que quiera! Estoy encantada 👍
MI TOC es feliz, que maravilla. Ordenador, limpio, sugerencias de categorías nuevas a explorar!!!
Me suscribi con los 14 días de prueba para escuchar el Podcast de Misterios Cotidianos, pero al final me quedo mas tiempo porque hacia tiempo que no me reía tanto. Tiene Podcast muy buenos y la aplicación funciona bien.
App ligera, eficiente, encuentras rápido tus podcast favoritos. Diseño sencillo y bonito. me gustó.
contenidos frescos e inteligentes
La App va francamente bien y el precio me parece muy justo para pagar a gente que nos da horas y horas de contenido. Espero poder seguir usándola asiduamente.

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