#43Private buildDirectories & Data

Market Atlas

A US market intelligence resource that scored 340 local markets and 203 business niches to decide where and what to build next, generating a ranked playbook that now seeds the directory projects.

πŸ—ΊοΈ
340 markets scored Β· 203 niches ranked Β· 52 states tiered
⚑ Research once, reuse everywhere

The problem

Picking which city and which industry to target next was gut feel, and every new project re-did the same research from scratch.

What Claude Code did

Claude digested a pile of research downloads into one canonical atlas: every market scored on population, income, and viability, phased into build order, with per-market reasoning notes, plus a niche scorecard that flags open fields and strong-but-sloppy incumbents as the diamond signals. A generator script rebuilds the whole playbook from the data.

The result

New directory projects start by reading the atlas instead of researching. The spa directory's entire scrape order came straight from its rankings.

Under the hood

ClaudePythonData synthesis

FAQ

What makes a market viable?

A composite of population, median income, and a 1 to 10 viability score, phased so the best 150 markets get built first.

What is a diamond niche signal?

An open field with weak content, or incumbents who rank but are sloppy. Both mean a well-built directory can win.

Ask Joe about this project

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