Cursor for Product Managers

As AI coding agents handle implementation, the bottleneck shifts to deciding what to build. Create the intelligent product management tool that analyzes customer data, proposes features, and generates specs that coding agents can execute.

Coding agents like Cursor and Devin are getting remarkably good at writing software. But they still need to be told what to build. The bottleneck is shifting from "how do we implement this?" to "what should we implement?"

The Vision: Imagine a tool where you upload customer interviews, support tickets, and product usage data, then ask: "What should we build next?" The system would:

• •Analyze patterns across thousands of customer interactions
• •Propose new features with AI-generated UI mockups and data models
• •Break down work into tasks that coding agents can execute directly
• •Replace traditional PRDs and Figma mocks with executable specifications

Why This Matters: Product managers today spend weeks gathering requirements, writing specs, and creating mockups. If AI can write the code, AI should also help define what code to write. The companies that figure this out will ship 10x faster.

The Opportunity: The product management software market is $15B+, but it's still built around human workflows—Jira tickets, Confluence docs, Figma files. The AI-native PM tool will look nothing like today's tools.