Release v0.1.19: Revenue & Pricing Suggestions Agent

February 11, 2026

What changed

• New revenue_suggestions table storing AI-generated monetization suggestions per project with category, estimated impact, effort, confidence score, implementation notes, and competitor context
• Revenue tRPC router with 4 endpoints: list (with category filter), generate (triggers the AI agent), addToQueue (converts suggestion to a queued feature), and delete
• Revenue Inngest agent analyzes the project codebase and competitor pricing, then writes structured suggestions to the database across 5 categories: pricing model, monetization, upsell, new revenue stream, and cost optimization
• Revenue tab UI on the project detail page with stats cards, category filter buttons, a responsive suggestion grid (badges, confidence scores, effort levels, competitor context), and an "Add to Queue" dialog with editable title/description/priority
• Auto-refresh every 10 seconds to surface suggestions as the agent generates them

Why it matters

Projects now get AI-generated revenue strategies without leaving the dashboard. Suggestions can be reviewed, filtered by category, and pushed directly into the feature build queue — closing the loop between monetization ideas and implementation.

Technical notes

• New revenue_suggestions table added to the database schema
• New enum values: "revenue_suggestion" (feature source), "revenue" (agent type)
• New Inngest event: pipeline/revenue
• 9 files changed, +1,113 / −2 lines