002 — Compound demand research

Date: 2026-09-09

Prompt

Look at steroidplotter.com, research every compound people actually use, pull DataForSEO (key from Vercel obsidian-vault-secrets), optionally install OpenSEO, and find the most popular compounds so the app can be the straight-to-the-point plotter with protocols, peaks/troughs, and saves.

What we decided

• OpenSEO was cloned locally (buildleansaas/open-seo) but we called DataForSEO the same way it does, instead of standing up their full Cloudflare app.
• Google Ads volume is trustworthy for INN/generic names and GLP brands. It zeros out Anavar/Dianabol/Winstrol/Masteron. Organic keywords on steroidplotter.com fill that hole.
• Demand is stacks (test + anavar, test + deca, npp steroid), not a 150-row encyclopedia.
• Next catalog wave is tren / primo / mast / EQ / anavar / dbol / anadrol / winstrol / sustanon / test gel, then GLP extras and peptides.

What we shipped

• scripts/research-compound-demand.py
• docs/research/2026-09-09-compound-demand.md
• CSVs of Ads volume and competitor ranked keywords

What we skipped

Implementing the new compounds in this session. Standing up OpenSEO’s UI. Cialis/Tadalafil as a plotter compound despite huge volume.