Prism
Prism is the first AI-native system for product discovery.
Core trick
Ingests interviews, usage data, and tickets, then runs agentic simulations that output revenue forecasts with confidence intervals and generated PRDs.
Description
Prism is the first AI-native system for product discovery. While coding agents like Cursor and Claude Code solve how to build software, Prism solves the harder problem: deciding what to build.
Product discovery is often disconnected and buried in spreadsheets. Prism changes that. It ingests customer interviews, usage data, and tickets to answer "What should we build next?" with rigorous, data-backed simulations.
Prism proactively identifies trends and runs agentic market simulations (e.g., "What if we shift to usage-based pricing?"), predicting revenue impact with confidence intervals. It explains the "why" behind decisions using transparent reasoning chains and closes the loop by generating implementation-ready artifacts, PRDs, Linear tickets, and specs, for your coding agents. Prism turns product strategy into code in seconds.
README excerpt
# Prism **The "Cursor for Product Managers"** Prism is the first AI-native system for product discovery. While coding agents like Cursor solve *how* to build software, Prism solves the harder problem: deciding *what* to build. Built for the **Anthropic Claude Code Hackathon** (Feb 2026). ## The Problem Every successful product requires understanding markets, synthesizing feedback, and prioritizing features. Today, this process is manual, disconnected, and buried in spreadsheets. Prism changes that. It ingests your customer interviews, usage data, and support tickets to answer "What should we build next?"—not with vague suggestions, but with rigorous, data-backed simulations. ## Key Features ### Automated AI Insights with Claude Opus 4.6  Opus 4.6 acts as your always-on analyst. By ingesting your data, it automatically identifies trends, alerts, and hidden opportunities, presenting them as **AI Insight Cards**. - **Deep Context**: Expand each card to view the root cause, supporting evidence, and suggested next steps. - **Interactive Exploration**: Includes suggested questions to ask Opus 4.6 for further analysis.  ### Contextual Pinning Never lose the thread of your analysis. Use the **Pin Feature** to lock the data and reasoning of any insight to the right-side agent. - **Focused Conversations**: Specify exactly what context Opus 4.6 should keep in mind. - **Reasoning