Product market fit

Magic Patterns: The AI Design Tool for Product Teams

Magic Patterns: The AI Design Tool for Product Teams

Founders Alex and Teddy of Magic Patterns discuss their journey from numerous pivots to building a profitable, $1M ARR AI design tool with a two-person team. They share insights on finding product-market fit by focusing on customer obsession, the technical details of their prompt-to-prototype platform, and their experience in YC.

RevenueCat: Powering Subscriptions for the App Economy

RevenueCat: Powering Subscriptions for the App Economy

In a YC interview, RevenueCat co-founders Jacob Eiting and Miguel Carranza discuss their journey from experiencing the pain of in-app purchases to building a critical piece of infrastructure for the mobile economy. They cover their early-stage conviction, the keys to selling to developers, and the operational and personal lessons learned while scaling to a globally distributed team.

Juicebox: AI Agents for the Hiring Process

Juicebox: AI Agents for the Hiring Process

Co-founders David Paffenholz and Ishan Gupta share their journey building Juicebox, an AI recruiting platform. They discuss their pivot from a music app to leveraging LLMs for talent search, how they achieved product-market fit, and their vision for AI agents that automate top-of-funnel recruiting.

Numeral: Building the Global Tax Platform

Numeral: Building the Global Tax Platform

Co-founder Sam Ross discusses Numeral's journey from a personal e-commerce pain point to a venture-backed global tax platform. He covers the market opportunity created by outdated incumbents, the 'do things that don't scale' approach to finding product-market fit, lessons from fundraising, and how Numeral leverages AI to automate complex compliance workflows, shifting from a tool to a full-service solution.