Reframed from backend-only to three layers (Lighthouse measures speed, not records-features):
A Discovery (clickable genre/artist/style/label, audio samples, find-in-store), B In-store ops
(item location, store map, A-Z refile/crate-reorg — the deepest moat, nothing else does it),
C Market intel (value/underpricing/scarcity/arbitrage — mostly Have today). Added per-feature
matrix (layer / today / RecordGod / Shopify+Discogs-sync can't / build effort) + Jackson as
co-design partner for the ops layer, not just a reference.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Data-driven dossier on waxmuseumrecords (Jackson, free-year test case). Key finding: their
Shopify is technically excellent (Lighthouse perf 99/SEO 100, no search-app tax) AND already
Discogs-sync-native (titles = Artist-Title(Format)(Grade), body = Media/Sleeve condition +
country/year) — so the pitch is NOT speed/cost, it's cross-store market intelligence on data
they already publish. DealGod under-captures it (condition 0%, release_id 26% despite perfect
titles). Includes honest do-NOT-pitch list, the underpricing/$ hook, read-only onboarding plan,
and DealGod-side ingest fixes (parse Media/Sleeve condition; lift Discogs-format match rate).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
