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Ali quit his job a few months after ChatGPT launched, convinced AI would eat labor marketplaces like Upwork. With no co-founder and no code, he collected $12K from real customers—using a faked demo and a cloned voice. Then he pitched 100 VCs in 10 days and got 47 straight 'no's.
In this episode, Ali breaks down how he banked $12K in revenue before writing a single line of code, how a $20/month Slack community drove Amigo's first $1M in ARR, and why he churned every existing customer to go all-in on $100K+ healthcare enterprise deals.
Why You Should Listen
Why validation only counts when dollars exchange hands.How a $20/month paid community turned into $1M in ARR.Why he refunded every customer and churned 100% of his revenue.Why founders must sell the first $2M themselves before hiring an AE.Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, AI agents, healthcare AI, enterprise sales, pre-seed fundraising, community-led growth, customer validation, pivot, Amigo AI
Chapters
00:00:00 Intro00:08:37 From Upwork to Starting Amigo00:13:30 $12K in Revenue Before Writing Code00:23:24 Pitching 100 VCs in 10 Days00:30:20 47 No's—Then FOMO Took Over00:37:12 The $20/Month Community Behind the First $1M00:45:47 Churning 100% of Revenue on Purpose00:01:49 The Moment of True Product Market FitSend me a message to let me know what you think!
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Mark was running a startup out of a tiny annex office in Dublin with zero product usage. Then one customer turned it on and overnight he saw usage spike to thousands of simulations. He got to $1M ARR 100% through outbound, by sending 500,000 cold emails. A few months ago he closed a $25M Series A.
In this episode, Mark breaks down the pivot from sales roleplay to customer support that unlocked his first real traction, the cold outbound playbook that took him to $1M ARR (500K emails, 250 meetings, 40 customers), and why doorstepping customers in Utah is what drove his net revenue retention to 186%.
Why You Should Listen
Exactly how to use a cold outbound strategy to hit $1M ARR.Why getting on 56 flights last year to visit customers led to 186% NRR.How he closed a $25M Series A in just 6 days.Keywords startup podcast, startup podcast for founders, product market fit, finding pmf, AI startup, customer support, cold outbound, Y Combinator, Series A, enterprise sales, SaaS, Solid Road
00:00:00 Intro00:06:10 The Pivot From Sales to Customer Support00:12:54 Why Moving to SF Changed Everything00:22:34 Cold Outbound to $1M ARR00:32:47 Doorstepping Customers for 186% NRR00:39:17 Closing a $25M Series A in 6 Days
ChaptersSend me a message to let me know what you think!
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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.
00:00:00 LLM Hype And Bubble Warning00:02:13 Five Stars Then We Begin00:03:02 Seed Prices Spike In AI Infra00:07:10 2026 Benchmarks For Pre-Seed To A00:09:36 Series A Doubles And Exit Math00:12:54 Bay Area Gravity And Valuation Gap00:18:22 Defensibility Gets Harder In AI Apps00:23:22 Smaller Teams Solo Founders Talent Shifts00:35:20 VC Fund Shakeout And Final Share Ask
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.
ChaptersSend me a message to let me know what you think!
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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 Intro00:01:30 Step 1: Build a List of 50 Qualified VCs00:06:00 Step 2: Engineer the Intros00:14:00 Step 3: Compress the Timeline00:20:00 Step 4: Manufacture FOMO00:26:00 Three Rules to Never BreakSend me a message to let me know what you think!
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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
00:00:00 Intro00:02:00 Hitachi Was the PMF Moment00:04:10 What Ema Actually Does00:11:48 From Coinbase to a Pre-ChatGPT Bet00:28:48 The Cold Email That Won a Top Partner00:30:52 Small Dinners Beat Massive Conferences00:36:11 The Moment of True Product Market Fit
ChaptersSend me a message to let me know what you think!
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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
00:00:00 Intro00:02:24 Beating a Giant on 5% Odds00:09:25 Eighty-Five Warehouse Interviews00:16:33 V1: A Slack Bot for Reshipping00:22:05 Pausing Sales to Rebuild for Enterprise00:34:49 The Scrappy Enterprise Sales Playbook00:48:23 Two Intentional Wow Moments in Every Demo00:53:40 The Moment of True Product Market Fit
ChaptersSend me a message to let me know what you think!
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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
00:00:00 Intro00:03:06 Two Years in the Idea Maze00:06:51 Why He Picked Marketers Over Everyone Else00:14:36 What Best-in-Class Content Looks Like Now00:25:42 From $1M to $13M ARR00:28:29 Building a Repeatable Sales Machine00:36:15 Competing in the Hottest AI Category00:38:44 The Moment of True Product Market Fit
ChaptersSend me a message to let me know what you think!
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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
00:00:00 Intro00:02:34 A Typhoon Replaces an Entire Call Center00:11:52 The YC Pivot and 180 Rejections00:19:05 Betting the Company on In-House AI00:24:11 The Billion-Impression Billboard Campaign00:34:49 Firing 50% of Customers After Raising $20M00:38:43 The Enterprise Sales Playbook00:50:52 The Moment of True Product Market Fit
ChaptersSend me a message to let me know what you think!
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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
00:00:00 Intro00:02:14 The Accent Problem Nobody Was Solving00:11:49 Getting Into YC with No Revenue00:22:48 Shipping V1 from a Dorm Room00:29:31 Guerrilla Growth on Reddit and Facebook00:36:05 Cracking the YouTube Influencer Playbook00:48:09 Why Annual Pricing Changed Everything00:50:47 The Moment of True Product Market Fit
ChaptersSend me a message to let me know what you think!
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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 Intro00:03:01 Building the First Data Network00:06:12 Why In-Person Sales Changed Everything00:16:08 Going to Market with No Pipeline00:21:07 Ignoring the Lab's No00:27:40 From $1M to $30M in One Year00:34:55 Why A-Plus Talent Is Worth It00:38:28 The Moment of True Product Market FitSend me a message to let me know what you think!
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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
00:00:00 Intro00:01:25 Amazon VP to Basement Startup00:06:23 Why AI Changes E-Commerce00:09:34 The 40% Traffic Gap00:17:43 AI Merchandising in Real Time00:23:17 Raising $50M for the Seller Agent00:33:12 Signing 11 Enterprise Brands00:37:17 The Moment of True Product Market Fit
ChaptersSend me a message to let me know what you think!
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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 Intro00:05:58 22 VC Rejections—Until She Found the Right Co-Founders00:08:49 Why She Always Starts Enterprise-First00:22:00 Five Years Off—Then the AI Wave Hit00:27:32 Why AISDRs Are a Race to the Bottom00:43:23 Using Her AI Clone to Raise the Series A00:49:52 The Moment of True Product Market FitSend me a message to let me know what you think!
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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 FoundSend me a message to let me know what you think!
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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 Intro00:11:33 Choosing the ICP00:20:37 Landing Netflix with Freemium00:28:44 Growing from $2M to $12M in Year Two00:30:10 The Free Download Strategy That Generated 60% of Leads00:32:04 Days from the NASDAQ Bell—Then Cisco Offered $3.7B00:41:28 The Moment of True Product Market FitSend me a message to let me know what you think!
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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-EmptivelySend me a message to let me know what you think!
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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 MonthsSend me a message to let me know what you think!
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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 FitSend me a message to let me know what you think!
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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 FitSend me a message to let me know what you think!
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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 MonthsSend me a message to let me know what you think!
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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 EraSend me a message to let me know what you think!
- Visa fler
