01 / The problem
AI can write code. Shipping still requires a system.
Models made the first draft cheap. Everything around it, deciding what to build, keeping the scope honest, remembering the launch date, is still done in six tabs and a group chat.
Software creation needs a better production system.
02 / Our approach
Make the path narrow enough to trust.
One stack for builds, one place for the plan, and an agent that can reach both. Every automated step leaves evidence a founder can inspect before it gets expensive.
03 / The company
A small team building for a global market.
MVPurr is made by Recite Labs, a small team that ships its own side projects with it. The first customers are the ones we talk to on Telegram.
04 / The stage
Early access, with the control plane live.
The studio, the MCP server and the launch tools are in production. The isolated build runner is in early access for invited projects.
Say what is live.
Product status should be legible to users, partners and ourselves. The changelog only lists production.
Earn autonomy.
The agent gets more responsibility only when the surrounding checks can support it.
Optimize for shipping.
A smaller product in production teaches more than an elaborate plan that never leaves a document.