A Product Market Fit Show | Startup Podcast for Founders

He exited to Snap for $166M— built an AI video startup, then raised $50M. | Alex Mashrabov, Founder of Higgsfield AI

Alex built the original Snapchat filters-- and sold his company to Snap for $166M.  Then he left to start Higgsfield. The company just raised a $50M Series A to help brands create AI-generated video ads at scale.  We go deep on why he thinks Adobe is in trouble, how top advertisers are already producing 10,000+ ad creatives a year, and why the companies winning in AI video aren't building foundation models. Why You Should Listen * Why consumer AI apps are a trap (and what to build instead) * How to drive early growth * The economics of AI-generated video * How to know when to pivot away from traction that has no long term Keywords startup podcast, startup podcast for founders, AI video generation, generative AI startup, social media marketing AI, B2B SaaS growth, founder pivot, AI startup fundraising, creator marketing, product market fit 00:00:00 Intro 00:06:29 Selling to Snap and Working With Evan Spiegel for Four Years 00:08:28 The Origin Story of HiggsField 00:17:47 The Real Use Cases for GenAI Video Today 00:27:26 The First Product and Why They Pivoted Away From Consumer 00:29:08 The $10 Billion Short Form Drama Market Nobody Talks About 00:33:26 Going All In on Social Media Advertising 00:41:16 When He Knew He Had Product Market Fit Retry Send me a message to let me know what you think! [https://www.buzzsprout.com/twilio/text_messages/1889238/open_sms]

How his AI-first services company grew $0 to $40M ARR in one year. | Eric Foster, Founder of Tenex

Eric spent 30 years in cybersecurity. Built and sold an MSSP to private equity for hundreds of millions. Then he started Tenex and hit $43 million in revenue in ONE YEAR.  This isn't theory. This is a founder who's done it multiple times breaking down exactly how AI-native companies are about to eat every services industry alive. If you're building anything that touches AI, services, or enterprise sales, this is the episode. Why You Should Listen * Why selling outcomes beats selling products every time * How to close enterprise deals in 60 days instead of 12 months * The difference between AI-native and AI-bolted-on companies * Why founder-led sales is non-negotiable in the early days * How to build for IPO from day one without slowing down Keywords startup podcast, startup podcast for founders, AI startup growth, founder-led sales, zero to one startup, enterprise sales strategy, AI native company, managed services startup, cybersecurity startup, product market fit 00:00:00 Intro 00:10:29 Selling His Last Company for $100Ms 00:15:10 The Origin Story of TENEX 00:36:47 How They Hit $43M ARR in Year One 00:43:27 The 30 Second Demo That Closes Enterprise Deals 00:47:10 Why Selling Outcomes Beats Selling Products 00:51:29 The Mechanics of Going From Zero to $40M ARR 01:01:09 Go to Market and Founder Led Sales 01:05:32 When He Knew He Had Product Market Fit Retry Send me a message to let me know what you think! [https://www.buzzsprout.com/twilio/text_messages/1889238/open_sms]

Q3 2025 w/Carta: What you need to raise a Series A. | Peter Walker, Head of Insights at Carta

Carta's Peter Walker is back with the freshest data on what's actually happening at the early stage—and it's not what you're reading on X. While headlines scream about record-breaking rounds, the reality on the ground tells a different story.  Seed deals are down. Time between rounds is stretching. And there's a brutal divide between the companies getting all the attention and everyone else.  We dig into the exact valuations, graduation rates, team sizes and revenue you need for Seed and Series A... plus why the lowest-quartile seed rounds are failing at twice the rate. If you're raising or planning to raise, this is the episode. Why You Should Listen * The round size that cuts your Series A odds in half * Why smaller teams are winning (and what that means for your hiring plan) * The real median valuations at pre-seed, seed, and Series A right now * How long it actually takes to get from seed to Series A in 2024 * When taking secondary as a founder makes sense (and when it doesn't) Keywords startup podcast, startup podcast for founders, seed round valuation, Series A fundraising, startup fundraising data, venture capital trends, pre-seed funding, startup metrics, founder secondary, seed to Series A Chapters: 00:00:00 Intro  00:02:46 Seed Valuations and Who Actually Graduates to Series A  00:06:58 What Founders Outside the Hot Cohort Should Do  00:11:44 Team Sizes Are Shrinking and Employees Are Getting Less  00:17:40 Crowded Categories and Competing with Foundation Models  00:24:47 Founders Starting Companies for the Wrong Reasons  00:33:32 When Founder Secondaries Make Sense  00:39:55 The Actual Median Valuations at Pre-Seed Seed and Series A Send me a message to let me know what you think! [https://www.buzzsprout.com/twilio/text_messages/1889238/open_sms]

He added AI to parking lots—then raised $3.5B. | Alex Israel, Founder of Metropolis

Alex and his co-founders spent 2018 pitching parking lot owners on computer vision tech. Every meeting ended the same way: "Cute startup, come back in 30 years."  So they did something else—they bought the parking operators and implemented the AI themselves. VCs called them delusional. But today, Metropolis has 20 million members and adds 1 million new members every month. Every 1-2 seconds someone signs up. Alex's biggest lesson? When enterprise customers won't adopt your tech, don't convince them—buy them. Sometimes the only way to disrupt an industry is to become the industry.  Why You Should Listen: * The "growth buyout" playbook—buy old companies to force your tech  * Why adding friction made their product better  * The counter-intuitive metric: success = less time users spend in your product * Why VCs said "absolutely not" to their best strategic move Keywords: startup podcast, startup podcast for founders, Metropolis, Alex Israel, computer vision, growth buyout, parking technology, M&A strategy, enterprise sales, B2B SaaS 00:00:00 Intro 00:03:05 Seeing the parking opportunity 00:06:37 The original vision 00:12:33 Raising $7.5M and leasing the first two parking lots 00:16:04 First customer transaction 00:22:58 The growth buyout strategy 00:27:54 Acquiring SP Plus with 23,000 employees 00:34:32 Building beyond parking Send me a message to let me know what you think! [https://www.buzzsprout.com/twilio/text_messages/1889238/open_sms]

He left a $2B ARR company to build AI agents—then hit $1M ARR in < 6 months | Amit Shah, Founder of Instalily

Amit walked away from being President of 1-800-Flowers after scaling it from $500M to $2B because he saw smart people trapped in dumb systems. His insight: half of global GDP is 90% manual work—salespeople entering data instead of selling, technicians reading manuals instead of fixing.  He started Instalily in Spring 2023 when everyone said AI agents were impossible. Instead of replacing workers, he built AI that finds signals in noise—telling each salesperson exactly which deal to focus on right now. The results are insane: $1M ARR within months, tripling revenue year two, delivering $150M+ value to single customers.  His secret? While competitors pitched flashy demos, Amit's team attended 100+ trade shows to understand actual operator pain. They hired fresh AI grads who "shipped fearlessly" instead of senior talent stuck in old paradigms. Why You Should Listen: * How "operator market fit" beats product market fit for enterprise sales * The GTM playbook that hit $1M ARR in months by attending 100+ trade shows * Why hiring AI-native grads crushed hiring senior talent for AI products * How focusing on time-to-value unlocked enterprise deals * The counterintuitive approach: augment the best parts of jobs, not the worst Keywords: startup podcast, startup podcast for founders, Instalily, Amit Shah, AI agents, enterprise sales, operator market fit, B2B SaaS, AI automation, vertical SaaS 00:00:00 Intro 00:04:42 Leaving 1-800-Flowers 00:09:55 Starting when everyone said AI agents were impossible 00:11:51 The vision—amplify the best parts of work, not replace the worst 00:16:59 Operator market fit over product market fit 00:20:48 Landing first $2B enterprise customers  00:29:00 The 100+ trade show GTM strategy that actually worked 00:33:02 Why they hired AI-native grads instead of senior talent 00:34:51 Hitting $1M ARR in months Retry Send me a message to let me know what you think! [https://www.buzzsprout.com/twilio/text_messages/1889238/open_sms]