idea-pipeline

To prioritize a startup ideas backlog, you audit it by cross-referencing screening results, shipped skills, prototypes, and ecosystem signals. This process scores concepts by narrative fit and operator fit to surface the top buildable ideas for the week.

Idea screening evaluates a startup ideas backlog against ecosystem signals and existing prototypes to determine execution readiness. Ecosystem signals provide market context that helps score ideas by narrative fit, ensuring selected concepts align with current trends.

Yes, you can audit startup ideas by cross-referencing existing skills, prototypes, and cross-repo PRs. This cross-referencing gauges execution readiness and operator fit, allowing you to identify the most buildable concepts from your backlog.

Before running a startup backlog audit, you need memory/topics/startup-ideas.md and memory/topics/startup-ideas-screened.md. You should also provide memory/logs and memory/topics/market-context.md if available to ensure accurate narrative fit scoring.

Narrative fit and operator fit scoring works by evaluating startup ideas against current ecosystem signals and your team's shipped prototypes. This mechanism filters the backlog to surface the top 3 buildable concepts that match your execution capabilities.

The best way to surface top weekly startup ideas is to run an idea-pipeline audit across your backlog, screening results, and prototypes. This generates a formatted report and a notification prompt highlighting the top 3 concepts to build.