Persona Library

As a UX designer, I've always wanted a tool like this. Every project starts with the same question: who are we building for? But personas are usually fabricated in a conference room, based on assumptions rather than data.

I wanted to know what data actually says about user personas — real behavioral patterns drawn from real products. So I gathered the data and created the profiles.

Persona Library is an open-source collection of 200+ deep persona profiles for the tools that run modern work — from Figma to Slack to Linear to 1Password. Each persona is community-sourced, validated, and designed to be immediately useful.

Designers can search, filter, and export personas for their own projects. But there's a second use case that emerged naturally: MCP servers. These personas help AI understand the user — giving language models real context about who they're building for.

I built this over a week of deep research — understanding what I really wanted from a persona tool, how to structure the data for maximum utility, and how to make it open and contributable.

The project also came out of a practical need: I was building MCP services for my own products and needed real persona data to feed into them. The library became both the tool and the data source.

The full library is open-source on GitHub. Community contributions are welcome — the goal is to make this the definitive open-source UX research dataset for modern software products.