Building AI Products: The Positioning Shift to 7 Figures

Building AI Products: The Positioning Shift to 7 Figures

Author: Omer Khan July 17, 2025 Duration: 44:55
He raised over $50M for TeamFlow, then fired two-thirds of his team when COVID ended. Flo Crivello pivoted to building AI products with Lindy, an agent platform that lets anyone automate workflows without code. The first version was so broken it sent emails saying "the user wants me to send an email to 50 software engineers." Flo reveals the AI product development lessons that took Lindy from a broken V1 to high 7-figure ARR, including the "Notion head fake" positioning strategy that made building AI products accessible by positioning against something familiar. You will learn why LLM products need to start with familiar positioning, how shipping embarrassingly broken AI features helped find pioneers, and when to rebuild everything at 100K MRR. Flo previously worked at Uber and spent years building a Twitter audience with 20 tweets a day. A single demo video converted that audience into 70,000 waitlist signups for Lindy in March 2023. 🔑 Key Lessons 🎯 Position your AI product against the familiar, not the alien: "AI employee" was too futuristic for a broken product. "If Zapier and ChatGPT had a baby" tapped into existing mental models when building AI products. 🚀 Ship an embarrassingly broken AI product to find pioneers: Lindy V1 sent emails that literally quoted the user's instructions. Early adopters forgave it because they bought the vision. 🪜 Climb the ladder of abstraction when building AI products: Lindy started as "update Salesforce after meetings," then generalized to any CRM, then any tool. Start specific, then keep generalizing. 📱 Build audience before launch with daily social content: Flo tweeted 20 times a day using a script to track volume. One demo video converted years of audience into 70,000 waitlist signups. 💰 Rebuild at 100K MRR if the AI product paradigm is broken: Flo spent 5-6 months rebuilding because the architecture could not deliver. When 99.9% of revenue is in the future, do not optimize for the present. Chapters Introduction and what Lindy does Flo's background at Uber and TeamFlow How COVID killed TeamFlow's growth How the idea for building AI products emerged from Salesforce automation The brutal pivot: firing two-thirds of the team Launching with a demo video and 70,000 waitlist signups When the AI product did not work Positioning: from AI employee to Zapier of AI The Notion head fake strategy Rebuilding while serving customers When MattVidPro's YouTube video accelerated growth Lightning round Resources Full show notes: https://saasclub.io/450 Join 5,000+ SaaS founders: https://saasclub.io/email

For anyone building a software company, the journey from an idea to a sustainable business is filled with specific, often daunting, questions. The SaaS Podcast-AI, Growth & Product-Market Fit for SaaS Founders exists to answer those with concrete stories, not abstract advice. Each week, host Omer Khan sits down with founders who have actually done it-they discuss the messy reality of securing those first few customers, the difficult adjustments needed to find true product-market fit, and the tactical decisions behind scaling to and beyond a million dollars in annual revenue. Conversations delve into the nitty-gritty of pricing models, sales processes, reducing churn, and the practical application of AI in a SaaS context. Omer’s perspective is shaped by having personally coached over a hundred and fifty founders past critical revenue milestones and conducting interviews with more than five hundred others. This depth of experience means every episode cuts straight to actionable insights, whether you’re painstakingly bootstrapping toward ten thousand in monthly recurring revenue or managing the complexities of rapid growth. The focus is relentlessly on proven strategies that have worked in the real world. Tuning into this podcast feels like gaining access to a private mastermind, a resource where thousands of other founders gather weekly to learn from the honest successes and setbacks of their peers.
Author: Language: English Episodes: 100

The SaaS Podcast - AI, Growth & Product-Market Fit for SaaS Founders
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