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Explore every episode of the podcast A Product Market Fit Show | Startup Podcast for Founders

Dive into the complete episode list for A Product Market Fit Show | Startup Podcast for Founders. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

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TitlePub. DateDuration
He runs 3 dinners a week instead of cold outbound—and closes $500K+ ARR deals. | Nick Fleisher, Co-Founder & CEO of Sandstone28 sept. 202600:49:10

Most investors told Nick not to hire a salesperson before he had product market fit. He hired the top rep in legal tech anyway and called him a product market fit finder. That rep signed a paid five-year deal in his first week, over lunch. By the time Sandstone came out of stealth, they had done hundreds of demos and had $10M+ of pipeline waiting. Sandstone just raised a $30M Series A.

In this episode, Nick breaks down why the intros he never asked for were the moment he knew PMF was real, how sitting next to customers and watching them work turned into their biggest integrations, and why they fired design partners whose problems did not match the market.

Why You Should Listen

  • Why intros you never asked for are the truest early signal of PMF.
  • How hiring an elite AE pre-PMF bought them a product market fit finder, not a quota.
  • Why saying yes to every design partner request leads you away from the market.
  • How two or three dinners a week convert prospects to demos almost every time.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, Sandstone, Nick Fleisher, legal tech, in-house legal teams, AI for legal, contract lifecycle management, enterprise sales, design partners, hiring an AE, founder-led sales, word of mouth referrals


Chapters

  • 00:00:00 Intro
  • 00:02:14 The Referrals That Proved PMF
  • 00:05:36 How to Actually Drive Word of Mouth
  • 00:07:15 The Idea Born Inside McKinsey Legal
  • 00:11:38 Why Legal Never Got a CRM
  • 00:17:07 Quitting and Raising From Sequoia the Same Day
  • 00:25:53 The Design Partners They Fired
  • 00:30:20 Hiring an AE Before You Have PMF
  • 00:40:32 Two Dinners a Week That Fill the Pipeline
  • 00:47:03 Go Spend Time With Customers in Person

Send me a message to let me know what you think!

Revenue fell from $25M to $8M—so he raised $75M in crowdfunding and ignored VCs. | Dan Novaes, Co-Founder & CEO of Mode Mobile21 sept. 202600:51:06

Dan's first app made over $1M in two months. Then Facebook sent a cease and desist and killed it. His next company, Mode Mobile, grew revenue 32,481% in three years and ranked #1 on the Deloitte Fast 500. Then his crypto advertisers went bankrupt, revenue fell from $25M to $8M, and he cut half his staff. No VC wanted a declining Series B. So he raised $5M from his own users in three months—then $75M more.

In this episode, Dan breaks down how paying people to use their phone actually makes money, why revenue concentration and not growth is what nearly killed Mode, and how to run a creator-led marketing campaign at $30 a video.

Why You Should Listen

  • Why the product market fit that feels insane is often the kind that dies fastest.
  • How building on someone else's API cost him two different companies.
  • Why extending your payback period is the fastest way to run out of cash.
  • How to know within $20K to $30K whether creator-led marketing works for you.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, Mode Mobile, Dan Novaes, crowdfunding, Reg A, consumer apps, rewards apps, creator-led marketing, UGC creators, user acquisition, revenue concentration, Android apps


Chapters

  • 00:00:00 Intro
  • 00:03:09 The App He Built In A Week
  • 00:06:38 $1M In Two Months
  • 00:08:25 Facebook Shuts It Down
  • 00:15:39 The Pivots Before Mode
  • 00:20:42 32,481% Growth To The Fast 500
  • 00:26:26 Revenue Concentration Nearly Kills It
  • 00:31:50 How Paying People To Play Works
  • 00:37:53 Creator-Led Growth For $30 A Video
  • 00:47:09 What Makes A Crowdfund Work

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He turned off a product with 20M users and went from 70 people to 7—then raised a $47M Series A. | Keith Peiris, Co-Founder & CEO of Lightfield14 sept. 202600:45:31

Keith raised a $43M Series B for Tome. The product had 20 million users. But retention was terrible and nobody cared enough to complain. So he turned it off before he knew what he'd build next, went from 70 people to 7, and started over. Lightfield just closed a $47M Series A.

In this episode, Keith breaks down how he knew Tome would never grow up, why customers lighting up your Slack at 3am is the signal you actually want, and the exact playbook he used to sell an AI-native CRM to YC founders before he charged them a dollar.

Why You Should Listen

  • Why angry customers are a better signal than 20 million happy ones.
  • How to know when optimizing metrics will never re-inflect your business.
  • Why you have to kill the old product before you can find the new one.
  • How to win founders with free software and events instead of cold email.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, Lightfield, Keith Peiris, Tome, pivoting a startup, AI native CRM, agentic system of record, cutting burn, go-to-market, selling to YC founders, launch videos, B2B SaaS


Chapters

  • 00:00:00 Intro
  • 00:02:27 The Customers Who Were Hopping Mad
  • 00:07:41 20M Users, Almost No Retention
  • 00:09:27 When Your Business Works But Won't Inflect
  • 00:11:24 Why His Board Said Burn the Boats
  • 00:18:29 Turning Off the Product Before Knowing What's Next
  • 00:22:13 Reinventing the System of Record
  • 00:30:25 How to Sell to YC Founders
  • 00:36:04 Making a Launch Video Hit a Million Views
  • 00:44:08 The One Piece of Advice

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VCs chased crypto and passed on his “boring” startup—then he raised $385M at a $2B valuation. | Aaron Schumm, Founder & CEO of Vestwell07 sept. 202600:49:49

Aaron started Vestwell in 2016. Two years in, he had $500K in ARR and an investor asking if it would ever make money. During the 2021 bull market, VCs told him 401ks were too boring—they were busy chasing crypto. Then Morgan Stanley signed. Today Vestwell has 2.5 million people saving on the platform, over $200M in ARR, and just raised $385M at a $2B valuation.

In this episode, Aaron breaks down why he white-labeled everything instead of building his own brand, how losing the JP Morgan bid as a 40-person startup still turned into one of his largest partnerships, and how a methodical cap table let him raise a Series A on a couple hundred thousand in revenue.

Why You Should Listen

  • Why letting your customers keep their brand beats competing with them.
  • How to raise a Series A with only a few hundred thousand in ARR.
  • Why losing an enterprise deal is the start of the sale, not the end.
  • Why you never regret firing someone too soon.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, Vestwell, Aaron Schumm, fintech, 401k, retirement savings, enterprise sales, channel partnerships, white label software, Series A fundraising, Morgan Stanley


Chapters

  • 00:00:00 Intro
  • 00:02:05 The Morgan Stanley Deal That Proved PMF
  • 00:08:32 A 401k So Bad It Started a Company
  • 00:10:23 Building V1 in a Regulated Industry
  • 00:17:07 Turning Advisors Into a Sales Channel
  • 00:23:57 Raising an A on $200K of Revenue
  • 00:31:16 Too Boring for the Crypto Bull Market
  • 00:38:45 Losing JP Morgan, Then Winning It Back
  • 00:43:23 Never Regret Firing Too Soon

Send me a message to let me know what you think!

He sold his 8-figure business to bet on a side app—then grew it to 20x in a year. | Andrew Antos, Co-Founder & CEO of Within31 août 202600:49:31

Andrew spent two and a half years selling AI contract review to lawyers. It stalled at $800K. He rebuilt the company around finance teams and grew that to $10M. Then he demoed a little internal tool on the side at his own conference, and nobody wanted to talk about anything else. It did $350K in five weeks. He sold the $10M business and went all in on the side tool—Within went from zero to nearly $20M in 18 months.

In this episode, Andrew breaks down the 30-and-100 rule he uses to validate every idea, how he turned every customer conversation into a database that tells him what to build next, and why nine out of ten experiments have to fail.

Why You Should Listen

  • Why 30 conversations validate an idea and 100 customers reveal product market fit.
  • Why the thing everyone asks about matters more than the thing you launched.
  • How to tell that slow growth is a market problem, not a go-to-market problem.
  • How to run four bets a quarter with a kill metric on every one.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, Within, Klarity, Andrew Antos, enterprise AI, AI transformation, pivoting a startup, enterprise sales, legal tech, finance automation, AI agents, customer discovery, voice of customer


Chapters

  • 00:00:00 Intro
  • 00:02:04 The Side Tool Everyone Wanted
  • 00:04:26 $350K in Five Weeks
  • 00:05:42 AI for Lawyers Before AI Worked
  • 00:12:44 Stuck at $800K
  • 00:13:43 Choosing Finance Over Legal
  • 00:17:40 The 30 and 100 Rule
  • 00:24:59 Selling the $10M Business
  • 00:32:17 Building a Company Data Brain
  • 00:40:01 Nine of Ten Bets Fail

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He spent $0 on marketing for 2 years—then raised $400M at a $3.25B valuation. | AJ Loiacono, Co-Founder & CEO of Judi Health24 août 202600:55:03

AJ spent two years selling health benefits with no customers and no references. His competitors told buyers their service was free. He charged a flat fee and told the truth about where the money actually went. Two years in, at $10M ARR, a Fortune 500 company called him. Judi Health just raised $400M at a $3.25B valuation.

In this episode, AJ breaks down how he beat three Fortune 15 giants by operating 70% more efficiently, why he spent zero on marketing for two years and let customers sell for him, and the one hiring signal he refuses to ask about directly.

Why You Should Listen

  • Why $10M ARR still felt like nothing against three Fortune 15 competitors.
  • How to sell healthcare when your answer to "who are your customers" is "just you."
  • Why he spent $0 on marketing and made customers the brand ambassadors.
  • How he spots A players without ever asking them about the mission.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, Judi Health, Capital Rx, AJ Loiacono, pharmacy benefit management, PBM, healthcare startup, enterprise sales, transparent pricing, bootstrapping, self-insured employers, hiring for mission


Chapters

  • 00:00:00 Intro
  • 00:02:11 Why Healthcare Has No Shortcuts
  • 00:05:34 What Judi Health Actually Does
  • 00:11:27 Opacity As A Business Strategy
  • 00:15:12 Bootstrapping In A Regulated Market
  • 00:21:50 Selling The First Risky Customers
  • 00:27:15 Winning Bids When Rivals Look Free
  • 00:33:37 Zero Marketing And A Service Moat
  • 00:42:20 Hiring For Mission And A Players
  • 00:52:35 Founder Advice On Focus And Discipline

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He spent $150K on brand before he had a product—then closed $1.5M ARR in 1 month. | Niklas Lindgren, Co-Founder & CEO of Endra17 août 202600:46:17

Niklas quit law school to install CCTV cameras in iPhone repair shops. Eight years later he sold that business to private equity at 26. Then he went after the most boring software in the world: the 1997 tool engineers use to design the wiring and plumbing inside buildings. He spent $150K on a website before he had a product and DM'd engineers on Reddit to find his first users. His first month of sales was $1.5M, all enterprise. Endra has now raised $75M, including a $50M Series A led by a16z.

In this episode, Niklas breaks down why he spent $150K on brand before there was a product, how DMs in Reddit engineering threads turned into $300K enterprise contracts, and the hiring principles he used to screen the first 50 employees.

Why You Should Listen

  • Why spending $150K on brand before you have a product can be the right call.
  • How DMs in Reddit threads turned into $300K enterprise contracts.
  • Why your customer's competitors are your best sales channel.
  • How to know when 80% output is actually enough to sell.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, Endra, Niklas Lindgren, MEP engineering, AI for construction, vertical AI, enterprise sales, brand building, Reddit marketing, hiring principles, agentic design software


Chapters

  • 00:00:00 Intro
  • 00:02:23 $1.5M of Enterprise Revenue in One Month
  • 00:04:22 Why Enterprises Couldn't Say No
  • 00:06:04 What Endra Actually Does
  • 00:08:27 Law School to CCTV Cameras
  • 00:12:06 Recruiting Two Goldman Engineers
  • 00:17:11 Finding Users in Reddit Threads
  • 00:26:02 $4M, $20M, Then $50M From a16z
  • 00:35:00 Spending $150K on Brand Before a Product
  • 00:40:11 The Hiring Principles Manual

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He lost all 5 of his first deals—then built the next Looker and raised $250M. | Colin Zima, Co-Founder of Omni10 août 202600:52:38

Colin spent eight years building Looker into a $2.7B Google acquisition. Then he left to compete with his own product. He thought traction would take a month—it took nine. A hundred demos got him five verbally-committed customers, and he lost all five. So he spent two months killing bugs, went on one podcast, and won every single trial that came out of it. Omni just raised over $250M.

In this episode, Colin breaks down how to tell the difference between a product that's genuinely better and one the market just doesn't want, why founding with $30M didn't stop them from staying stingy, and the LinkedIn playbook that turned 6,000 connections into a 90% response rate.

Why You Should Listen

  • Why losing every deal doesn't mean the idea is wrong—and how to know the difference.
  • Why real differentiation shows up as "wow" moments in demos, not signed contracts.
  • The LinkedIn social-selling playbook that built Omni's first pipeline.
  • Why hiring sellers from your old industry hands you their Rolodex on day one.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, Omni, Colin Zima, Looker, business intelligence, BI tools, enterprise SaaS, AI analytics, social selling, LinkedIn outbound, founder-led sales, innovator's dilemma


Chapters

  • 00:00:00 Intro
  • 00:01:58 The Moment of True Product Market Fit
  • 00:06:16 Losing All Five Deals and Doubling Down
  • 00:10:43 Leaving Looker to Compete With Looker
  • 00:17:39 Founding With $30M and Staying Stingy
  • 00:22:09 A Hundred Demos Before the Flywheel
  • 00:32:15 No Silver Bullet—Just Do More of Everything
  • 00:38:32 The LinkedIn Social-Selling Playbook
  • 00:46:07 Hiring the Best People You've Worked With

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He fired almost everyone, kept 2 engineers—then grew 12x and raised a $30M Series A. | Rafael Broshi, Co-Founder of Notch03 août 202600:52:42

Rafael launched a crypto insurance product in 47 states, backed by a real carrier. Everyone told him it was genius. Nobody needed it. He shut it down with $2M left in the bank, fired almost everyone, and rebuilt with two engineers on $20K a month. Notch just raised $30M.

In this episode, Rafael breaks down how a POC he entered through the back door turned into a seven-figure contract, why "isn't everyone doing this?" is the feedback you actually want, and how to tell whether an enterprise deal makes you a real company or just their dev shop.

Why You Should Listen

  • Why "that idea is genius" is a warning sign, not a compliment.
  • How entering a POC last still made them the front runner.
  • Why the enterprise deals that scale need zero customization.
  • How to stop hiding your idea and go straight to your dream customers.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, Notch, Rafael Broshi, AI agents, insurance technology, customer experience automation, regulated industries, enterprise sales, POC strategy, pivoting a startup, on-prem deployment


Chapters

  • 00:00:00 Intro
  • 00:02:00 The Moment of True Product Market Fit
  • 00:10:07 One Enterprise Deal or Ten
  • 00:15:24 A Genius Idea Nobody Needed
  • 00:24:33 Picking the Right Wave to Ride
  • 00:34:37 Down to $2M, Firing Almost Everyone
  • 00:41:48 Getting Enterprise to Take Your Call
  • 00:48:07 The POCs That Aren't Real POCs

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He worked out of a police department for free for a year—then built a $6.8B company. | Ben Rudolph, Co-Founder of Peregrine27 juil. 202600:40:44

Ben and his co-founder had no product, no law enforcement background, and no pitch—just an offer to help detectives solve cases. One commander took a chance, handed them background checks, and said "let's see what you can do." They worked out of that police department every day for 18 months. Peregrine just raised $250M at a $6.8B valuation.

In this episode, Ben breaks down how researching every police captain in the Bay Area landed their first design partner, why working as free crime analysts for 18 months was "the purest form of method acting," how forward-deployed engineers drove them from $1M to $3M to $10M ARR, and the 120% RFP prep that won a contract written for a billion-dollar competitor.

Why You Should Listen

  • Why doing your customer's job is the fastest path to product market fit.
  • How two founders with no product convinced a police department to let them in.
  • Why over-investing in deployment became a growth engine, not a margin problem.
  • How obsessive research wins enterprise deals when you have zero credibility.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, Peregrine, govtech, public safety technology, forward deployed engineers, selling to government, enterprise sales, data integration, design partners, Ben Rudolph


Chapters

  • 00:00:00 Intro
  • 00:01:07 The Moment of True Product Market Fit
  • 00:11:51 Getting a Police Department to Say Yes
  • 00:16:45 Slow Growth and Word of Mouth
  • 00:19:49 Forward-Deployed Engineers Before They Were Cool
  • 00:27:34 Cracking Government Go-To-Market
  • 00:34:08 Winning an RFP Written for Someone Else

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1st-time solo founder does 90 interviews in 90 days—closes a $25M Series A 2 years in. | Damien Lewke, Founder of Nebulock20 juil. 202600:50:28

Damien left his job to start a startup solo. Two years later, Nebulock closed a $25M Series A. In between: 90 customer interviews in 90 days, a year of design partners, and a Fortune 500 deal that closed in 6 weeks.

In this episode, Damien breaks down how his 90-in-90 customer discovery sprint killed his original architecture before he wasted money building it, how his design partner program converted 100% into paying customers, and how a POC playbook needing just 2 hours of customer time closed a Fortune 500 in 6 weeks.

Why You Should Listen

  • How 90 customer interviews in 90 days saved him from building the wrong product.
  • Why every single design partner converted into a paying customer.
  • How a 2-hour POC playbook closed a Fortune 500 in just 6 weeks.
  • Why procurement—not your champion—decides how fast your deal closes.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, cybersecurity startup, solo founder, customer discovery, mom test, design partners, enterprise sales, POC process, AI security, Nebulock, Damien Lewke

Chapters

  • 00:00:00 Intro
  • 00:01:20 The Moment of True Product Market Fit
  • 00:11:33 Going Cold Turkey as a Solo Founder
  • 00:23:07 90 Interviews in 90 Days
  • 00:36:44 Raising $8.5M Off a Manifesto, Not a Deck
  • 00:39:36 Every Design Partner Converted to Paid
  • 00:44:00 Building a Repeatable POC Playbook
  • 00:48:20 The Procurement Black Hole

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He tries 1,000 ideas a decade & kills nearly all—that's how X built Waymo & Google Brain. | Astro Teller, CEO of Moonshots at X (Alphabet)13 juil. 202600:48:06

Astro has run X, Alphabet's Moonshot Factory, for 16 years. His teams created Waymo, Wing, and Google Brain—by testing over 1,000 ideas a decade and killing nearly all of them. His whole system rests on one uncomfortable rule: celebrate the people who kill their own projects.

In this episode, Astro breaks down why you should do the hard thing first, how pre-written kill criteria force intellectual honesty, and why X maximizes learning per dollar instead of progress—and never tracks whose idea it was.

Why You Should Listen

  • Why working on the riskiest part first is the key to testing new ideas
  • How writing kill criteria a year in advance stops you from running a zombie startup.
  • Why progress doesn't matter when launching a new startup.
  • How to come up with big ideas like Waymo and Wing.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, Astro Teller, Google X, moonshot factory, Alphabet, Waymo, innovation process, kill criteria, idea validation, deep tech


Chapters

  • 00:00:00 Intro
  • 00:04:15 Inside Alphabet's Moonshot Factory
  • 00:07:22 The Card Counters of Innovation
  • 00:14:00 Learning per Dollar, Not Progress
  • 00:23:04 Killing Ideas with Testable Hypotheses
  • 00:26:34 Train the Monkey First
  • 00:35:16 Kill Criteria: A Message to Your Future Self
  • 00:41:59 The Moment of True Product Market Fit

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He raised $75M—but kept his team to 21 people & pays everyone the same salary. | Cos Nicolaescu, Co-Founder of Accrual06 juil. 202600:57:38

Cos was the CTO of Brex, which he helped scale from 40 people to over 1,000. Before that, he led engineering at Stripe. When he finally left, he had no startup idea—just a co-founder he trusted and one rule: whatever they built had to have massive impact. Six months of brainstorming later, they landed on accounting.

In this episode, Cos breaks down why he capped the company at 21 people after raising $75M, why everyone—engineers and salespeople alike—earns the exact same salary, how he hit a 100% pilot-to-production conversion rate with top accounting firms, and the counterintuitive process he used to pick accounting over every other industry.

Why You Should Listen

  • Why the only reason to join an early-stage company should be the equity, never the cash.
  • How Accrual hit a 100% pilot-to-production conversion rate selling to the largest accounting firms.
  • Why he raised $75M but refuses to grow past 21 people.
  • How to tell real product market fit from the "just one more feature" trap.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, AI accounting, vertical AI, enterprise sales, pilot to production, Brex, Stripe, Cosmin Nicolaescu, Accrual, lean team


Chapters

  • 00:00:00 Intro
  • 00:01:56 The Moment of True Product Market Fit
  • 00:09:46 Collapsing 6+ Tools Into One Platform
  • 00:18:07 Leaving Brex to Start From Scratch
  • 00:31:41 Landing H&R Block and Armanino
  • 00:34:57 A 100% Pilot-to-Production Playbook
  • 00:43:26 A 21-Person Company by Design
  • 00:51:38 One Salary for Everyone

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He quit Stripe and hit $10M ARR in 4 years—with $0 marketing spend. | Anurag Goel, Founder of Render29 juin 202600:47:43

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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He shut down his last startup and gave the money back—then hit $1M ARR in 6 months. | George, Founder of Monk22 juin 202600:46:05

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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He quit his $50M ARR startup to work as a paralegal—then raised a $60M Series A. | Dan Mishin, Founder of Manifest15 juin 202600:42:37

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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He churned 100% of his revenue on purpose—then grew 10x to $2M ARR in under 12 months. | Ali Khokhar, Founder of Amigo AI08 juin 202600:53:00

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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He hit $1M ARR by sending 500,000 cold emails—then raised a $25M Series A in 6 days. | Mark Hughes, Co-Founder of Solidroad01 juin 202600:42:52

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

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Q1 2026 w/Carta: What you need to raise a Series A. | Peter Walker, Head of Insights at Carta25 mai 202600:38:28

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

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How to get a VC (like me) to wire you $2M in under 2 weeks (the FOMO playbook) | Solo Episode18 mai 202600:21:47

I meet 1,000+ founders every year. Most are bad at fundraising.

I also interview 100+ of the world's best founders on my podcast each year. Most are incredible at fundraising.

One raised $14M in 17 days. another was 3x oversubscribed on a $3M round. another closed a seed in hours from a single X post. All are first-time, unproven founders.

They don't waste time becoming "friends" with VCs. They have a business to build. They treat fundraising for what it is: a process where you manufacture FOMO as fast as possible, take the money, and move on.

This video breaks down the 4 steps the best fundraisers use to raise fast. The same 4 steps taught at YC and 500 Startups (where i went). The same 4 steps you can run on thousands of VCs worldwide to close $2-3M in weeks not months.

Why You Should Listen

  • Why you need to reach out to 50 VCs on the same day just to end up with three term sheets.
  • How to engineer intro blurbs that make VCs feel like they're already late to the game.
  • Why setting fake deadlines is the fastest way to destroy all your credibility with investors.
  • How one founder raised $3M in five weeks by starting with a $1.5M target and driving FOMO.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, fundraising, raising a seed round, VC pitch, FOMO, startup fundraising playbook, term sheets, investor meetings, Pablo Srugo, venture capital

Chapters

  • 00:00:00 Intro
  • 00:01:30 Step 1: Build a List of 50 Qualified VCs
  • 00:06:00 Step 2: Engineer the Intros
  • 00:14:00 Step 3: Compress the Timeline
  • 00:20:00 Step 4: Manufacture FOMO
  • 00:26:00 Three Rules to Never Break

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Coinbase's ex-CPO bet on AI agents before ChatGPT—now he's closing 7-figure Fortune 500 deals. | Surojit Chatterjee, Founder of Ema11 mai 202600:37:27

Surojit spent 14 years at Google building mobile ads into a $100B+ business and then took Coinbase public as Chief Product Officer in 2021. In early 2023, before "agent" was even a word in AI papers, he started Ema in stealth—betting on a future where teams of AI agents would replace the "human glue" inside Fortune 500s.

In this episode, Surojit breaks down how a Hitachi deployment across 55,000 employees became Ema's true PMF moment, why he spent the first year obsessed with SOC 2, ISO 42001, and air-gapped architecture before chasing revenue, and why one client just cut their HR team from 1,000 people to 550 by automating 65,000 monthly job changes.

Why You Should Listen

  • Why true PMF is when your average salesperson can sell the product without you in the room.
  • How a single Hitachi deployment unlocked credibility for every Fortune 500 deal that followed.
  • Why a cold email—not a warm intro—turned into Ema's largest partner today.
  • How partnering with PwC and KPMG became a faster wedge into the C-suite than any conference.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, AI agents, enterprise AI, AI employees, Fortune 500 sales, Surojit Chatterjee, Ema, agentic AI, enterprise software


Chapters

  • 00:00:00 Intro
  • 00:02:00 Hitachi Was the PMF Moment
  • 00:04:10 What Ema Actually Does
  • 00:11:48 From Coinbase to a Pre-ChatGPT Bet
  • 00:28:48 The Cold Email That Won a Top Partner
  • 00:30:52 Small Dinners Beat Massive Conferences
  • 00:36:11 The Moment of True Product Market Fit

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How this 1st-time founder went from closing customers for $500 a month to $300,000 a year. | Sean McCarthy, Founder & CEO of BackOps04 mai 202600:55:46

Sean was spending four days a week inside customer warehouses at Amazon Shipping when he noticed the same thing everywhere: back-office admin staff churning every six months, buried under the same repetitive claims and reshipping tasks. He talked to eighty-five warehouse owners, quit Amazon in July 2024, and cold emailed his way to a pre-seed round within weeks.

In this episode, Sean breaks down why he paused all sales to rebuild BackOps as an enterprise-grade platform, how an SOP recorder that takes eight minutes replaced months of deployment delays, and the scrappy enterprise playbook—from sending donuts to warehouses to building the customer's board deck for them—that wins $300K Fortune 500 deals.

Why You Should Listen

  • Why talking to 85 customers before writing a line of code is worth more than anything.
  • How an eight-minute screen recording replaced months of SOP-writing delays.
  • Why "what are your problems?" fails in enterprise and a pointed use case wins eight out of ten times.
  • How to structure pilots that auto-convert so you never end up in post-pilot purgatory.

Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, supply chain, AI automation, enterprise sales, BackOps, first-time founder, warehouse operations, logistics AI, Sean McCarthy, agentic AI


Chapters

  • 00:00:00 Intro
  • 00:02:24 Beating a Giant on 5% Odds
  • 00:09:25 Eighty-Five Warehouse Interviews
  • 00:16:33 V1: A Slack Bot for Reshipping
  • 00:22:05 Pausing Sales to Rebuild for Enterprise
  • 00:34:49 The Scrappy Enterprise Sales Playbook
  • 00:48:23 Two Intentional Wow Moments in Every Demo
  • 00:53:40 The Moment of True Product Market Fit

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He built for 2 years before raising a dollar—then hit $13M ARR and a $40M Series B. | Alex Halliday, Co-Founder & CEO of AirOps27 avr. 202600:40:45

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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180 VCs rejected him—then a $60K billboard got him to $2M ARR in 4 months. | Isaiah Granet, CEO of Bland AI20 avr. 202600:52:22

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

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She bet on a consumer app when every VC wanted B2B—then grew to $10M ARR. | Anada Lakra, Founder of BoldVoice16 avr. 202600:52:20

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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He raised a $10M seed with no revenue—then grew 30x to $30M in year two. | Bobby Samuels, Founder of Protege13 avr. 202600:39:24

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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He ran Prime fulfillment for Amazon—then raised $20M to replace e-commerce with AI. | Maju Kuruvilla, Founder of Spangle 09 avr. 202600:42:01

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

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She got rejected by 22 VCs—then built 6sense to $100M+ in revenue. Now she's back for AI. | Amanda Kahlow, Founder of 1mind06 avr. 202600:52:13

Amanda spent 16 years running a services business for Cisco and Intel. When she tried to productize her business, 22 VCs rejected her. That became 6sense, a $200M ARR company. After stepping aside as CEO and taking five years off, she's back with an AI startup called 1 mind. 

In this episode, Amanda breaks down why she always goes enterprise-first when everyone tells her to start small, how she used an AI clone of herself to pitch 60 VCs and raise 1mind's Series A in three days, and why she believes the entire sales process—SDRs, AEs, sales engineers—is about to be collapsed into a single AI "superhuman."

Why You Should Listen

  • Why 22 VC partner meetings said no—and how one change fixed it overnight.
  • How she used an AI clone of herself to close a Series A in 3 days.
  • Why starting enterprise-first beats moving upmarket.
  • Why outbound AI email is a race to the bottom and what to build instead.

Keywords startup podcast, startup podcast for founders, product market fit, AI agents, AI sales, enterprise sales, 6sense, 1mind, finding pmf, B2B SaaS, AI enabled services, net dollar retention

Chapters

  • 00:00:00 Intro
  • 00:05:58 22 VC Rejections—Until She Found the Right Co-Founders
  • 00:08:49 Why She Always Starts Enterprise-First
  • 00:22:00 Five Years Off—Then the AI Wave Hit
  • 00:27:32 Why AISDRs Are a Race to the Bottom
  • 00:43:23 Using Her AI Clone to Raise the Series A
  • 00:49:52 The Moment of True Product Market Fit

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How this AI founder is on track to hit $50M ARR just 2 years after launch. | Tarek Alaruri, Co-Founder of Stuut02 avr. 202600:47:16

Tarek already built a B2B software company to $30M ARR. But when the AI wave hit, he realized he could build a generational business by automating the manual world of accounts receivable. So, he left to start Stuut.

In this episode, Tarek breaks down how he reached $1M ARR in a couple of months and is on track to hit up to $50M this year. He reveals how he pre-sold his first $65k contract with just wireframes, why he forces new customers to introduce him to five peers, and the brutal reality of finding message-market fit through hundreds of cold calls.

Why You Should Listen

  • How to pre-sell a $65k enterprise contract before writing code.
  • The "Closing Discount" hack to generate 5 referrals from every new customer.
  • Why finding "Message Market Fit" is more important than your ICP.
  • How to spot and avoid early-stage startup "vultures".
  • Why scaling a B2B sales motion requires hiring misfits over pedigree.

00:00:00 Intro
00:01:41 Leaving a $30M Startup to Build with AI
00:08:06 Finding Message Market Fit Through Cold Calling
00:20:07 Pre-Selling a $65k Contract with Wireframes
00:27:51 The Voice AI "Aha" Moment
00:33:07 The Closing Discount Referral Hack
00:37:18 The Brutal Reality of B2B Sales
00:42:19 Hitting $1M ARR and Pacing for $50M
00:45:05 Why Product Market Fit is Never Truly Found

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He launched a free product for enterprise customers—then grew to $12M ARR in 2 years. | Bhaskar Sunkara, Founding CTO of AppDynamics30 mars 202600:44:59

Description

Bhaskar was employee #1 at AppDynamics, which was sold to Cisco for $3.7B. He and co-founder Jyoti found a way to change how enterprise monitoring tools worked. From tracking low-level code metrics that ops teams didn't understand to monitoring what the business actually cares about.

In this episode, Bhaskar breaks down how that one insight won them Netflix and Priceline as early customers, why they ran production POCs that no competitor would dare try, and how a free download called AppDynamics Lite generated over 60% of their leads—in an industry where getting started normally took weeks of professional services and six-figure contracts.

Why You Should Listen

  • Why selling to developers is operating on hard mode.
  • How one-day POCs became the killer enterprise sales weapon.
  • Why freemium disrupted an industry that required weeks of professional services to get started.
  • How they grew from $2M to $12M in revenue in just one year post launch.

Keywords 

startup podcast, startup podcast for founders, product market fit, AppDynamics, application monitoring, enterprise SaaS, B2B sales, finding pmf, freemium strategy, Cisco acquisition, production POC

Chapters

  • 00:00:00 Intro
  • 00:11:33 Choosing the ICP
  • 00:20:37 Landing Netflix with Freemium
  • 00:28:44 Growing from $2M to $12M in Year Two
  • 00:30:10 The Free Download Strategy That Generated 60% of Leads
  • 00:32:04 Days from the NASDAQ Bell—Then Cisco Offered $3.7B
  • 00:41:28 The Moment of True Product Market Fit

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He raised $41M in one year to replace enterprise accountants with AI. | Yogi Goel, Founder of Maxima26 mars 202600:43:49

Yogi spent 20 years living the nightmare of enterprise accounting. As a senior finance leader at Rubrik, he watched highly paid professionals spend three weeks every month manually wrangling data into spreadsheets—a problem that caused mass burnout and multi-million dollar stock corrections.

When ChatGPT launched, Yogi knew the technology was finally ready to solve the problem. In this episode, he breaks down how he left his executive track to found Maxima, how he landed massive enterprises like Scale AI and Rippling as early design partners, and why he managed to raise $41M from top-tier VCs like Kleiner Perkins and Redpoint before he even had a pitch deck.

Why You Should Listen

  • How a 1st-time founder raised an $11M Seed and a $30M Series A in a year.
  • Why replacing accountants with AI is a bigger opportunity than replacing SaaS tools.
  • How to use the "Design Partner Playbook" to secure Fortune 500 customers.
  • Why charging for an MVP creates the friction you actually need to find true PMF.
  • The difference between selling "digital shelves" and selling "folded laundry" in the age of AI.

Keywords

startup podcast, startup podcast for founders, AI in accounting, enterprise SaaS, product market fit, finding pmf, raising seed round, raising series a, B2B sales, design partners

00:00:00 Intro
00:07:37 Leaving a CFO Track to Become a Founder
00:11:52 Raising an $11M Seed Round from Kleiner Perkins
00:20:07 The Design Partner Playbook
00:22:34 Why You Must Charge Your Early Design Partners
00:28:36 The Aha Moment for Product Market Fit
00:33:20 Selling "Folded Laundry" Instead of "Digital Shelves"
00:36:47 Raising a $30M Series A Pre-Emptively

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How he grew his AI startup from $2M to $20M ARR in 12 months. | Omar Haroun, Co-Founder of Eudia23 mars 202600:49:29

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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She raised $20M from Accel to replace QuickBooks with AI. | Helen Hastings, Founder of Quanta19 mars 202600:56:39

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

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He moved to the US with nothing. Now he does $750M ARR. | Mateo Marietti, Founder of CookUnity16 mars 202600:56:24

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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This 3x founder hit $1M ARR in 5 months. Here's his playbook. | Roy Moussa, Founder of GetVocal12 mars 202600:44:13

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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He made 0 sales for the first 8 months. Now he does $200M+ ARR. | Ryan Anderson, Founder of Filevine09 mars 202600:56:43

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

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He built heads down for a year. Then landed a $1M contract. | Sam Jones, Co-Founder of Method Security05 mars 202600:45:13

Sam spent years at the Air Force and Palantir before deciding to build Method Security. Instead of launching an MVP and iterating with customers, he did the opposite: he shut out the world and built in the dark for a year based on his own conviction.

In this episode, Sam breaks down his contrarian approach to building a platform for the enterprise and government. He reveals how he raised millions from Andreessen Horowitz with just a prototype, why he refuses to hire a sales team, and how he landed a seven-figure contract right out of the gate.

Why You Should Listen

  • Why he ignored the "talk to users" advice and built in the dark for a year.
  • How to raise a $5.5M seed round from a16z in just 3 days.
  • The "2-Hour Bootcamp" strategy that shortens enterprise sales cycles.
  • Why keeping your engineering team dangerously small creates speed.
  • How to turn a design partnership into a $1M+ contract.

Keywords

startup podcast, startup podcast for founders, product market fit, cybersecurity, a16z, Palantir, enterprise sales, design partners, government contracting, founder led sales

00:00:00 Intro
00:02:00 From Air Force to Palantir
00:06:28 The "Shared Notion Space" of Ideas
00:10:04 Raising Seed from a16z in 3 Days
00:17:23 The "Dark Period": Building Without Users
00:22:23 Structuring Enterprise Design Partnerships
00:28:48 The "2-Hour Bootcamp" Sales Strategy
00:31:03 Why the Org Chart is Flat (15 Reports to CTO)
00:34:02 Converting Pilots to Commercial Contracts
00:41:07 The Moment of True Product Market Fit

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He raised $150M with $0 revenue. Then hit $1M ARR in 4 months. | Michel Tricot, Co-Founder of Airbyte02 mars 202600:42:59

Michel raised $185M and achieved a unicorn valuation before he fully cracked monetization. How? By building a community so strong it broke his engineering team.

In this episode, Michel breaks down the chaotic journey from a failed YC marketing idea to becoming the standard for open-source data movement. He reveals why he killed a high-growth fintech product, how he used the "Magic Wand" question to find his true direction, and the specific insight that allowed Airbyte to hit $1M ARR in just 4 months after launching their enterprise product.

Why You Should Listen

  • How to hit $1M ARR in 4 months with a bare-bones product.
  • The "Magic Wand" framework for validating startup ideas.
  • Why you should sometimes optimize for Vanity Metrics.
  • How to raise $150M+ by solving the "build vs buy" dilemma.
  • The critical difference between Project Market Fit and Product Market Fit.

Keywords

startup podcast, startup podcast for founders, open source business model, data infrastructure, product market fit, Y Combinator, pivoting, fundraising, developer tools, Airbyte

00:00:00 Intro
00:09:37 The Failed Marketing Product & COVID Pivot
00:16:13 The "Magic Wand" Framework for Ideas
00:20:52 Launching Open Source to Solve "Build vs Buy"
00:24:39 Bootstrapping a Community on Reddit & Hacker News
00:30:17 Why Too Many Users Broke the Team
00:34:32 Project Market Fit vs. Product Market Fit
00:36:16 Hitting $1M ARR in 4 Months
00:37:53 Managing a Unicorn Valuation Without Revenue
00:41:20 Advice for Early Stage Founders

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He failed for 5 years. Then hit $20M ARR with 100% outbound. | Didi Gurfinkel, Founder of Datarails26 févr. 202600:38:28

Didi spent five years building a product that no one really wanted. He raised $10 million, tried endless pivots, and was known as the "black sheep" of his investors' portfolio. Then, with his back against the wall, he made one final bet on a boring, unsexy market: FP&A for Excel users.

In this episode, Didi breaks down how that final pivot turned into a rocket ship. He reveals why he sold cheap monthly contracts to prove demand, how he used his kids to automate LinkedIn outreach, and why targeting the market everyone else ignores (Excel lovers) was the key to unlocking massive growth.

Why You Should Listen

  • How to survive 5 years of wandering before finding PMF.
  • Why he sold $790/month contracts to validate a pivot.
  • How to scale from $0 to $20M ARR with 100% outbound sales.

Keywords

startup podcast, startup podcast for founders, product market fit, finding pmf, pivot, B2B sales, outbound sales strategy, FP&A software, excel automation, Didi Gurfinkel

00:00:00 Intro
00:02:42 The First 5 Years of Wandering
00:11:39 Being the "Black Sheep" of the Portfolio
00:14:12 Identifying the FP&A Opportunity
00:20:55 The Pivot: Selling $790/Month Contracts
00:30:30 Scaling from $1M to $20M with Outbound
00:33:18 Why the Mid-Market is Wide Open
00:34:22 The Moment of True Product Market Fit

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His startup powers OpenAI's Voice Mode. Last month, they became a unicorn. | Russ d’Sa, Co-Founder of LiveKit23 févr. 202600:55:18

Russ was running a moderately successful live streaming startup. Then he got a terrifying offer from a tech giant: sell to us for cheap, or we'll crush you. He had no leverage. He was about to fold.

Then he got an email from OpenAI. They had secretly built ChatGPT's voice mode on his infrastructure. Overnight, everything changed. 

In this episode, Russ reveals the wild story of how LiveKit became the backbone of multimodal AI, why he almost sold his previous company for parts, and how to survive when the biggest companies in the world are breathing down your neck.

Why You Should Listen

  • How to secretly power ChatGPT’s voice mode.
  • Why you should build "boring" infrastructure instead of AI apps.
  • How to negotiate an acquihire when you have no leverage.
  • Why a "sell or die" threat from a tech giant was the best thing to happen.
  • How to pivot from a failed consumer app to a unicorn infrastructure play.

Keywords

startup podcast, startup podcast for founders, product market fit, AI infrastructure, multimodal AI, OpenAI, ChatGPT voice mode, founder stories, pivot, LiveKit

00:00:00 Intro
00:02:49 The OG YC Batch Experience
00:07:08 How to Sell a Failing Startup
00:15:51 The "Good Cop, Bad Cop" Investor Negotiation
00:35:56 The First Voice AI Demo That Flopped
00:38:29 The Secret Email from OpenAI
00:43:47 How to Scale Stateful Voice Agents

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He pivoted at $1M ARR—then raised $120M. | Kevin Tian, Co-Founder of Doppel19 févr. 202600:36:21

Kevin was building a successful startup in the NFT space. They'd hit $1M ARR. But he looked at the market and realized it wasn't big enough. So he made the terrifying choice to pivot the entire company into cybersecurity.

In this episode, Kevin breaks down how he navigated that transition without killing the business. He reveals how he sold his first $5k/month contract with no product, why he raised a massive seed round he didn't need, and how he convinced Andreessen Horowitz to lead his Series A in the middle of a strategic shift.

Why You Should Listen

  • How to pivot from a bad market to a unicorn opportunity.
  • Why he sold a $5k/month contract with zero product.
  • How to raise a Series A from a16z during a pivot.
  • Why you never truly "find" Product Market Fit.
  • The danger of building for a niche market (and how to escape).

Keywords

startup podcast, startup podcast for founders, product market fit, finding pmf, pivot, cybersecurity, crypto startup, a16z, raising series a, Kevin Tian

00:00:00 Intro
00:02:17 Meeting at Uber and the "Glass Eating" Phase
00:07:21 The First Idea
00:11:52 Selling the First $5k/Month Contract with No Product
00:16:52 The Decision to Pivot at $1M ARR
00:29:43 Network Selling to Enterprise Cybersecurity
00:32:03 Raising Series A from a16z During a Pivot
00:33:36 Why Product Market Fit is Not a One-Time Event
00:35:10 Action Produces Insights

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He sold his first startup for $100M. Then raised $250M in 18 months. | Dileep Thazhmon, Founder of Jeeves16 févr. 202600:55:54

Dileep sold his first company for over $100M. For his second act, he didn't just want another win; he wanted to solve a problem that banks refused to touch: global business banking.

In this episode, Dileep breaks down how Jeeves scaled to $7M ARR in just over a year by doing things that "don't scale"—like physically mailing credit cards to Argentina. 

He reveals the counterintuitive strategy of raising from dozens of small investors, how to pivot a fintech when interest rates skyrocket, and why being an outsider was his biggest advantage in building a global banking infrastructure from scratch.

Why You Should Listen

  • How to get to $7M ARR in one year through unscalable acts.
  • Why a "messy" cap table with 50+ investors is actually a secret weapon.
  • The "Beat Down" Framework: A brutal stress test for vetting your idea.
  • The offline marketing stunt that actually worked.

Keywords

startup podcast, startup podcast for founders, product market fit, fintech startup, global expansion, second time founder, Y Combinator, fundraising strategy, B2B banking, finding pmf

00:00:00 Intro
00:02:04 Selling His First Company for $100M
00:08:19 The "Beat Down" Framework for New Ideas
00:19:38 The One Metric That Matters for PMF
00:24:44 Why Join YC as a Second-Time Founder?
00:29:15 Shipping Cards to Argentina by Hand
00:39:13 The Pivot to Jeeves Pay When Cards Got Shut Down
00:43:25 The "Messy Cap Table" Fundraising Strategy
00:49:27 The Moment of True Product Market Fit

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He sold his first 2 startups. His 3rd grew to $1M ARR in 3 months. | Chaz Englander, Founder of Model ML12 févr. 202600:49:44

Chaz has founded 3 companies. The first sold for over $40M. The second sold to GoPuff for even more. Now, he’s on his third act with Model ML, having just raised $75M Series A <2 years in.

In this episode, Chaz breaks down the playbook behind his successes. He reveals how he raised his first million by pitching strangers on LinkedIn, why his delivery startup was just a text message system on the backend, and why speed is the only defensive moat left.

Why You Should Listen

  • How to pitch strangers on LinkedIn for angel checks.
  • Why you should always say you're raising "a bit more" than you actually are.
  • Why "Product Market Fit" is no longer static in the age of AI.
  • How to launch a massive consumer business.
  • Why getting a paid design partner isn't enough.

Keywords

startup podcast, startup podcast for founders, serial entrepreneur, fundraising strategy, product market fit, rapid scaling, AI startup, exit strategy, MVP, fintech

00:00:00 Intro
00:04:46 Pitching Strangers for Angel Checks
00:07:51 The "Fake" Fundraising Strategy
00:23:28 Why MVPs are Dead in the AI Era
00:25:01 Selling to GoPuff While Running Out of Cash
00:32:25 The Origin of ModelML
00:38:30 The Design Partner Playbook
00:46:13 From $5k to $100k MRR in 3 Months

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He fired all his customers. Then built a $1B startup in 2 years. | Jay Madheswaran, Co-Founder of Eve09 févr. 202600:52:16

Jay was running a respectable AI startup with $3M ARR. But he knew it wasn't a venture-scale rocket ship. So, he decided to fire all his customers, pivot the entire company, and bet everything on a new vertical: legal AI for plaintiff attorneys.

Eve went from zero to unicorn status in under two years, raising $100M at a $1B valuation. 

In this episode, Jay breaks down the brutal reality of pivoting a revenue-generating company, how to achieve "demo shock" in an antiquated industry, and why 4-hour user sessions were the first sign that he had struck gold.

Why You Should Listen

  • How threatening to shut down your product can reveal PMF.
  • Why firing all your existing customers might be the only way to scale.
  • How to achieve a 40% conversion rate from cold outreach to demo.
  • Why you should target mid market instead of enterprise if you want to deploy AI fast.

Keywords
startup podcast, startup podcast for founders, product market fit, finding pmf, pivot, legal tech, AI startup, B2B sales, unicorn startup, Jay Madheswaran, Eve

00:00:00 Intro
00:02:27 From VC to Founder
00:08:42 The First Idea: RPA for NLP
00:16:52 The Hard Decision to Pivot at 3M ARR
00:24:26 Product Discovery While Still Supporting Old Customers
00:33:56 40 Percent Conversion from Cold Outreach
00:39:56 Firing Customers to Find True PMF
00:41:06 The 4-Hour User Session Signal
00:46:05 From 1M to 10M ARR in One Year
00:49:11 The Moment of True Product Market Fit

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He wrote the book on Account Based Marketing. Here are his GTM secrets for enterprise. | Bassem Hamdy, Founder of Briq05 févr. 202600:39:17

Bassem took Briq from a failed data idea to a Series B leader in construction financial automation.But the path wasn't linear. 

In this episode, Bassem reveals how he pivoted to RPA bots, why he killed a high-growth fintech product to survive the 2023 cash crunch, and how he uses a relentless "Go-to-Market" strategy. He breaks down his exact ABM playbook, why he hates trade shows, and why he believes AI orchestration is a bigger shift than the cloud.

Why You Should Listen

  • How to identify the "Challenger" who will kill your deal.
  • Why trade shows are a waste of money (and what to do instead).
  • The "1-Person Webinar" hack to close high-value accounts.
  • The brutal reality of cutting 50% of staff to survive.
  • Why selling "risk reduction" beats selling "time saved."

Keywords

startup podcast, startup podcast for founders, product market fit, account based marketing, construction tech, go to market strategy, enterprise sales, finding pmf, robotic process automation, ai orchestration

00:00:00 Intro
00:06:23 The RPA "Aha" Moment with a Tech Giant
00:11:52 Selling Risk vs. Selling Time Saved
00:13:27 The "New CFO" Signal in Account Based Marketing
00:17:06 Identifying the "Challenger" in Enterprise Sales
00:23:22 The 1-Person Webinar Strategy
00:29:19 Killing the Fintech Product to Survive 2023
00:36:20 Why You Never Truly Have Product Market Fit

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He got rejected from YC—then grew to $1.8B in under 2 years. | Max Junestrand, Founder of Legora02 févr. 202600:52:15

Max went from a YC rejection to building a $1.8B company in less than two years. His company, Legora, is the fastest YC-backed company to become a unicorn in history. 

His path to insane growth was not standard: after raising a massive Series A, Max told his board he was pausing all new sales for six months to rebuild the product infrastructure.

In this episode, Max breaks down the "burn the boats" mentality that drove their growth, the specific demo tactics that convert 55% of prospects, and how to build an engineering culture that ships fast enough to beat incumbents like Thomson Reuters.

Why You Should Listen

  • Why he shut down sales for 6 months immediately after raising $35M.
  • How a single live demo stunt at a conference generated 150 qualified leads.
  • The aggressive pitch strategy that turned a YC rejection into an acceptance.
  • How to close a $10M round with Benchmark after a single meeting.
  • Why you should encourage your enterprise clients to run bake-offs.

Keywords

startup podcast, startup podcast for founders, product market fit, AI legal tech, Y Combinator, hypergrowth, enterprise sales, Benchmark Capital, fundraising strategy, rapid scaling

00:00:00 Intro
00:06:51 Getting Rejected by Y Combinator
00:15:37 Living on 50k Euros with Design Partners
00:30:19 The Live Demo That Booked 150 Meetings
00:34:06 Raising $10M from Benchmark in 30 Minutes
00:35:13 Shutting Down Sales After Raising Series A
00:46:36 How to Win 85 Percent of Competitive Deals
00:50:05 The Moment of True Product Market Fit

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He sold dog food from his condo. Now he does $100M+ a year. | Russell Breuer, Founder of Spot & Tango29 janv. 202600:51:45

Russell went from working in private equity to hand-delivering dog food on the NYC subway at 5 a.m. He didn't start with a VC check; he started with a studio apartment kitchen and a belief that dog food was broken.

In this episode, Russell breaks down how he turned a side hustle into Spot & Tango, a direct-to-consumer giant doing over $100M in revenue. 

He reveals the gritty reality of early-stage CPG, why he vertically integrated his own factory when everyone else outsourced, and how a simple "fresh dry" product innovation called UnKibble unlocked massive scale.

Why You Should Listen

  • How to scale from a studio apartment kitchen to $100M+ revenue.
  • How a simple packaging choice created a premium brand identity.
  • Why your second product might become your biggest winner.
  • Why the best performing ad creative is often the cheapest.

Keywords

startup podcast, startup podcast for founders, product market fit, finding pmf, DTC startup, CPG brand, direct to consumer, scaling a startup, founder stories, Spot and Tango

00:00:00 Intro
00:02:30 From Private Equity to Dog Food
00:07:36 Hand-Delivering to the First Customer
00:11:57 The Dark Ages: Cooking in a Shared Kitchen
00:19:17 Pricing Strategy Without Sales Data
00:22:50 The Pink Butcher Paper Brand Identity
00:26:26 Launching UnKibble: The 9-Figure Product
00:31:52 Why Vertical Integration is a Moat
00:40:54 The Best Ad Creative is a Sticky Note
00:47:09 Selling Out Inventory in 4 Days

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He made 100 cold calls a day. Now his startup is worth $600M. | Harman Narula, Founder of Canary Technologies26 janv. 202600:52:03

Harman went from cold-calling hotels 100 times a day to building the category-defining guest management platform for the hospitality industry. Canary built a $600M company by first solving one tiny, annoying problem: paper credit card authorization forms.

In this episode, Harman breaks down how a simple digital form became the wedge into thousands of hotels. He reveals why they stuck with outbound sales long after hitting millions in revenue, the terror of collecting physical checks during the first week of COVID, and the exact moment he knew they had hit product-market fit.

Why You Should Listen

  • The "Activated Hair on Fire" framework: How to turn a latent problem into a must-have purchase.
  • Why outbound sales (and cold calling) is often your top early growth channel.
  • How to use a simple, "unscalable" wedge to unlock a massive market.
  • Why you should celebrate the lows: A counterintuitive take on managing founder psychology.
  • The story of signing 200+ customers in a single day (and finding true PMF).

Keywords

startup podcast, startup podcast for founders, product market fit, finding pmf, vertical saas, outbound sales, cold calling strategies, early stage growth, b2b sales, hospitality tech

00:00:00 Intro
00:02:13 From Management Consulting to Hotel Tech
00:11:32 The Paper Form that Launched a Company
00:17:35 The Activated Hair on Fire Framework
00:24:26 Landing the First Customer via Cold Call
00:28:21 Applying to YC 
00:32:35 Making 100 Cold Calls a Day
00:43:42 The COVID Cash Flow Panic
00:48:27 Signing 200 Customers in One Day

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He got 100k signups in 30 days. They all churned. 2 years later, he hit $10M ARR. | Rich White, Founder of Fathom22 janv. 202600:42:32

In this episode, Rich breaks down the wild story of Fathom's launch. He reveals how they secured a prime spot on the Zoom Marketplace and generated 100,000 signups in 30 days—only to realize 99.9% of them were useless. 

He discusses the pivot to monetization when the market crashed, how to design a product for viral loops, and why staying in private beta for 10 months was the best decision he ever made.

Why You Should Listen

  • Why getting 100,000 signups in a single month nearly killed the company.
  • How to use the "Iceberg Strategy" to build a defensible moat.
  • Why you should attack the "800-pound gorilla" incumbent.
  • How to hit $100k ARR by selling a roadmap that doesn't exist yet.
  • The "Visible Feature" mechanic that drives zero-cost viral growth in B2B.

Keywords

startup podcast, startup podcast for founders, viral growth, product market fit, AI startup, freemium strategy, Zoom marketplace, PLG, B2B sales, Fathom

00:00:00 Intro
00:03:14 Why Sales Reps Hated Gong
00:07:54 Betting on Transcription Costs Going to Zero
00:11:52 The 10 Month Private Beta Strategy
00:17:46 The Zoom Marketplace Launch
00:19:52 100k Signups and Zero Growth
00:26:39 Selling a Roadmap to Hit 100k ARR
00:33:53 The Viral Loop of Visible Bots
00:36:12 Why Enterprise Sales Was a Trap
00:39:51 The Moment of True Product Market Fit

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He grew his startup to $150M ARR & an IPO. Now he's back for the AI wave. | Bob Tinker, Founder of MobileIron & BlueRock19 janv. 202600:41:00

Bob is a serial entrepreneur who founded MobileIron, grew it to $150M in revenue, and took it public. Now, he's back with his fourth startup, BlueRock, tackling the next massive wave: agentic AI security.

In this episode, Bob breaks down the distinct difference between finding Product-Market Fit and finding Go-To-Market Fit—and why confusing the two can kill your company. 

He shares the exact questions he asked early customers to pivot from a generic mobile idea to a billion-dollar enterprise solution, the painful transition from founder-led sales to a repeatable playbook, and why he believes agentic AI is the "mobile wave" all over again.

Why You Should Listen

  • Why asking "what else is bothering you?" can uncover real pain points.
  • Why finding Product-Market Fit might actually increase your burn rate.
  • Why founder-led sales often fail to scale and what to do about it.
  • How to use a "Deal Grind" session to turn anecdotal sales wins into a scientific Go-To-Market machine.
  • Why identifying the right tech wave matters more than your initial idea.

Keywords

startup podcast, startup podcast for founders, product market fit, go to market fit, enterprise sales, founder led sales, mobileiron, agentic AI, cybersecurity startup, bob tinker

00:00:00 Intro
00:03:17 Talk to Customers Before Writing Code
00:15:28 Why Finding PMF Can Increase Burn Without Growth
00:17:51 The Founder "Magic Pixie Dust" Trap
00:25:34 The Deal Grind Exercise
00:31:43 From 1M to 80M ARR in 4 Years
00:32:54 Why Agentic AI is the Next Mobile Wave
00:38:30 The Famous Sequoia Tombstone Meeting
00:40:17 The Magic Question: What Else is Bothering You?

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© My Podcast Data · Independent project · Data from Apple & Spotify