A Product Market Fit Show | Startup Podcast for Founders

Alex spent two years building AirOps nights and weekends during the pandemic before raising a single dollar. A chance conversation with Sam Altman—while walking down the street during SF Pride—sent him down the LLM rabbit hole months before ChatGPT existed. He pivoted his product toward AI, picked marketers as his customer, and never looked back.
In this episode, Alex breaks down why he picked marketers over every other AI use case after watching them build 80-step workflows on his platform, the consultative sales motion that converts almost every pilot to annual at $60K–$250K ACVs, and why positioning—not product—was the unlock that took AirOps from $1M to $13M ARR.
Why You Should Listen
Why picking the highest-taste customer is more important than picking the biggest market.
How proof-point-driven outbound gets you past the "nobody's heard of you" problem.
Why the founder-to-seller handoff is a forcing function for focus—and when to make it.
How a consultative, education-led sale converts almost every pilot to annual contract.
Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, AI marketing, content engineering, SEO, AEO, AI search, enterprise sales, SaaS growth, AirOps, Alex Halliday, Greylock

Chapters
00:00:00 Intro
00:03:06 Two Years in the Idea Maze
00:06:51 Why He Picked Marketers Over Everyone Else
00:14:36 What Best-in-Class Content Looks Like Now
00:25:42 From $1M to $13M ARR
00:28:29 Building a Repeatable Sales Machine
00:36:15 Competing in the Hottest AI Category
00:38:44 The Moment of True Product Market Fit
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Isaiah pivoted mid-YC, landed in the bottom 10% of his batch, and watched 180 investors say no—their reason: phone calls won't exist a year from now. Voice AI was not yet a thing. With almost no money left, he and his co-founder bet everything on building AI phone calls from scratch. Bland went from pre-seed to a $40M Series B in a year.
In this episode, Isaiah breaks down how a $60K billboard and a strategic influencer campaign generated close to a billion impressions, why he fired 50% of his customers right after raising a Series A, and the enterprise sales playbook that lands six- and seven-figure contracts with companies most people have never heard of.
Why You Should Listen
Why 180 VCs saying your market won't exist is actually a bullish signal.
How two billboards and a wave of micro-influencers generated a billion impressions.
Why firing half your customers right after raising your Series A can save your roadmap.
How internal newsletters and org-chart mapping win six-figure enterprise deals.
Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, voice AI, AI phone calls, enterprise sales, Bland AI, YC pivot, billboard marketing, influencer marketing, call center automation, Isaiah Granet

Chapters
00:00:00 Intro
00:02:34 A Typhoon Replaces an Entire Call Center
00:11:52 The YC Pivot and 180 Rejections
00:19:05 Betting the Company on In-House AI
00:24:11 The Billion-Impression Billboard Campaign
00:34:49 Firing 50% of Customers After Raising $20M
00:38:43 The Enterprise Sales Playbook
00:50:52 The Moment of True Product Market Fit
Send me a message to let me know what you think!

Anada Lakra just raised a $21M Series A for BoldVoice, a $150/year pronunciation app that helps immigrants speak English with confidence. But she started from zero in her Harvard dorm room and a problem most VCs didn't think was big enough. She recruited a Hollywood accent coach, shipped a bare-bones V1, and got into YC.
In this episode, Anada breaks down why she launched a consumer app when every investor was chasing B2B, how a Reddit thread called "Judge My Accent" became an early growth hack, and why switching to annual-default pricing transformed her unit economics overnight.
Why You Should Listen
Why building a consumer app in the 2020s is not as crazy as VCs think.
How Reddit threads and guerrilla marketing drove BoldVoice's first thousand users.
Why defaulting to annual pricing gave her instant CAC payback.
How she grew from zero to $1M ARR and raised a $21M Series A.
Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, consumer app, B2C startup, pronunciation app, accent coaching, AI app, YC startup, mobile app growth, Anada Lakra, BoldVoice

Chapters
00:00:00 Intro
00:02:14 The Accent Problem Nobody Was Solving
00:11:49 Getting Into YC with No Revenue
00:22:48 Shipping V1 from a Dorm Room
00:29:31 Guerrilla Growth on Reddit and Facebook
00:36:05 Cracking the YouTube Influencer Playbook
00:48:09 Why Annual Pricing Changed Everything
00:50:47 The Moment of True Product Market Fit

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Bobby  launched Protege in early 2024 to connect data holders with AI model builders. He raised a $10M seed with almost no demand pipeline. A year later, Protege jumped 30x to $30M in GMV and raised $30M from a16z.
In this episode, Bobby breaks down how he built a 250-partner data network by leveraging prior healthcare relationships, why he flies from New York every week to close seven-figure enterprise deals, and why the "texting terms" litmus test tells you if a deal is real.
Why You Should Listen
Why ignoring a customer's "no" can be the best sales move you make.
How flying to see buyers weekly became the number one growth driver.
Why the gap between A and A-plus talent is worth blowing your budget for.
How Protege went from $1M to $30M GMV in a single year.
Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, AI data, enterprise sales, founder-led sales, data licensing, healthcare AI, a16z, B2B startup, Bobby Samuels, Protege
Chapters
00:00:00 Intro
00:03:01 Building the First Data Network
00:06:12 Why In-Person Sales Changed Everything
00:16:08 Going to Market with No Pipeline
00:21:07 Ignoring the Lab's No
00:27:40 From $1M to $30M in One Year
00:34:55 Why A-Plus Talent Is Worth It
00:38:28 The Moment of True Product Market Fit
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Maju ran Prime fulfillment technology for all of Amazon — same-day, one-hour shipping, global logistics during the pandemic. He became CEO at Bolt. Then he walked away to start Spangle in a basement with a co-founder, convinced AI could replace e-commerce infrastructure as we know it.
In this episode, Maju breaks down why 40% of e-commerce traffic loses its context the moment it arrives on a brand's site, how Spangle's AI dynamically rebuilds the entire storefront in real time for each visitor, and why he believes the future of commerce will be a battle between AI seller agents and AI buyer agents.
Why You Should Listen
Why 40% of your marketing traffic is wasted the moment it hits your site.
Why the future of e-commerce is a showdown between AI seller agents and AI buyer agents.
How he signed 11 enterprise brands in under a year with a free POC and rev-share pricing.
Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, e-commerce, AI commerce, agentic commerce, personalization, dynamic storefronts, conversion optimization, enterprise SaaS, Series A, Spangle, Maju Kuruvilla

Chapters
00:00:00 Intro
00:01:25 Amazon VP to Basement Startup
00:06:23 Why AI Changes E-Commerce
00:09:34 The 40% Traffic Gap
00:17:43 AI Merchandising in Real Time
00:23:17 Raising $50M for the Seller Agent
00:33:12 Signing 11 Enterprise Brands
00:37:17 The Moment of True Product Market Fit
Send me a message to let me know what you think!