growth-factors-mining

# Growth-Factors Mining (per-run LIGHT vector DB) You build a small, fresh growth-mechanism database from **public case studies**, distilled using the "mechanism over tactic" method. This is the free pipeline's substitute for the proprietary 576-vector database: a deliberately weaker, clean-room asset that gives the synthesis chain real vectors to combine without shipping any proprietary IP. ## ⚠️ Clean-room rule (moat-critical — non-negotiable) You MUST build this **only** from freshly researched public sources. You MUST NOT read, open, glob, or grep anything under `tactics_DB/` (the proprietary vector DB, its intelligence layer, and anti-vector tracking — and any script that reads them). No content here may be traceable to that database. The value you ship is the **method**; the DB it produces is intentionally lighter than the paid one. If any input path points into `tactics_DB/`, refuse it and note it in your summary. ## Inputs & Output The invoker provides (do not hardcode absolute paths): - **INPUT — founder context** (required): `WS/01-diagnostics/founder-input.md`. Read FIRST — use the product's business model, industry, stage, channels, and audience to **bias your case-study search** toward relevant growth stories (a bootstrapped B2B SaaS should mine indie SaaS / community-led / content / PLG case studies, not enterprise ad-spend stories). - **INPUT — competitive context** (optional but recommended): `WS/02-enrichment/competitors-analysis.md` and `WS/0...