GPT-4 Startups
5 case studies with real revenue and traction data from gpt-4 startups.
Do Anything is an AI-powered autonomous agent platform that executes tasks without explicit prompts. The founder Garrett created it as a side project while building Pipe Dream, demonstrating the capability to analyze YouTube channels, create content plans, generate presentations, and handle complex workflows automatically through natural language requests.
Cursor is an AI-powered code editor that reimagines how engineers build software by moving beyond traditional code writing toward intent-based, higher-level programming. Launched in 2022 after just 3 months of development, Cursor achieved legendary growth reaching $100M ARR in 20 months and $300M ARR within 2 years, driven entirely by product quality and organic word-of-mouth adoption. The team differentiates itself through custom model development, dog-fooding, and a human-in-the-loop philosophy that keeps engineers in control while leveraging AI to automate repetitive tasks.
Intercom, a 14-year-old customer communication SaaS business making hundreds of millions in ARR, faced declining growth and nearly hit zero net new ARR before pivoting to AI-first agents (Fin). Six weeks after GPT-3.5 launched, Owen McCabe led a dramatic organizational transformation—cutting costs, firing 40% of employees, and betting ~$100M on AI—resulting in Fin growing 300%+ annually and reaching eight-figure ARR with a path to $100M+ ARR within three quarters.
Airtable is a no-code platform that democratizes business app creation. Founded 13 years ago by Howie Liu, it achieved early product-led growth success and became a SaaS darling. Recently, Airtable has undergone a major transformation to become AI-native, restructuring into 'fast thinking' and 'slow thinking' teams to ship AI capabilities weekly while maintaining infrastructure stability. Howie personally uses Airtable's AI agent Omni extensively and spends significant compute resources testing AI capabilities daily.
StudyMate is a student learning platform built by Zevi Arnawitz, a non-technical PM at Meta with zero coding background, using AI-powered development tools like Cursor and Claude. The app allows students to upload study materials and generate interactive quizzes with multiple question types. Zevi developed an innovative workflow using slash commands, Claude code review, and multiple AI models working in concert to build, review, and refine features without writing code himself.