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