Does Exchange Team Size Affect Signal Quality? (Yes, and Here's How)
Exchange size is one of the most important calibration variables in our signal model. Here's why it matters and how we account for it.
The Problem With Raw Hiring Numbers
Binance posting 20 compliance roles means something very different from Gemini posting 20 compliance roles. Binance has 7,000+ employees; Gemini has ~700. A 20-role posting is a rounding error for Binance but a massive surge for Gemini.
Our Size Normalization
We don't compare raw numbers — we compare each exchange's hiring activity against its own baseline. Signal scores represent deviation from the exchange's historical average, not absolute hiring volume.
Where Larger Exchanges Have an Edge
Larger exchanges (Binance, Coinbase) generate more granular signal data. More roles = more specific role titles = more predictive specificity. A single specific role at a small exchange is noise. The same role at Binance is a data point among many — confirmed by corroborating hires.
Where Smaller Exchanges Have an Edge
Smaller exchanges (Gemini, HTX) are easier to interpret because the signal-to-noise ratio is inherently higher when total hiring volume is lower. One relevant role at Gemini is a stronger individual signal than one role at Binance.
The Bottom Line
Size matters for signal interpretation — and our model accounts for it. The leaderboard scores are size-adjusted by design.