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How Signalmap Collects Exchange Hiring Data: Full Technical Transparency

A complete technical explanation of how we collect, normalize, and analyze exchange job posting data — including methodology and limitations.

How Signalmap Data Is Collected

We believe in full transparency about our methodology. Here is exactly how the data is collected.

Data Sources

We collect from: (1) exchange career pages directly (okx.com/careers, careers.coinbase.com, etc.), (2) ATS platforms used by exchanges (Greenhouse, Lever, Ashby), (3) LinkedIn Jobs API for supplementary data. We do NOT use scraping that violates terms of service — we collect only publicly accessible data.

Collection Frequency

Core data: daily collection. Minimum: every 24 hours per exchange. Emergency updates: within 4 hours of a significant score change (10+ point move).

Normalization

Raw role data is normalized into department categories (Product, Engineering, Compliance, etc.) using a combination of title matching and description analysis. Senior roles are weighted higher than junior roles in the signal score calculation.

Quality Control

Duplicate detection (same role posted to multiple platforms). Stale role filtering (roles unchanged for 90+ days are flagged as potential stale postings). Manual review of unusual data points (sudden large changes).

Limitations Acknowledged

We acknowledge: LinkedIn undercounts vs direct career pages. Some exchanges use internal job boards not accessible publicly. Internal transfers do not appear in hiring data.

Full methodology guide →

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