How Signalmap works

Job postings are public disclosures. A compliance surge at an exchange precedes a regulatory filing. An engineering spike precedes a product launch. Here's exactly how we turn that signal into intelligence.

The core insight

Every major crypto exchange must publicly post job openings. These postings are filed weeks to months before any announcement — because hiring takes time. An exchange doesn't announce a new compliance program and then hire for it; they hire first, then announce.

This creates a predictable lag: hiring signal → announcement → market reaction. Signalmap reads the signal before the announcement.

Example

In Q4 2025, Coinbase posted 38 EU-jurisdiction compliance roles over 6 weeks. Three months later, Coinbase announced its MiCA compliance roadmap and Dublin expansion. Signalmap readers knew in advance.

The data pipeline

We collect, classify, and score job postings across 67 crypto companies — exchanges, DeFi protocols, infrastructure, and L1/L2 networks — on an hourly basis.

01

Collection

Every Monday we scrape career pages, LinkedIn, and major job boards for Coinbase, Binance, OKX, Kraken, Gemini, Bitpanda, Bitvavo, BitMEX, Crypto.com, and Robinhood Crypto. New postings are deduplicated by title + location hash.

02

Classification

Each role is classified into one of 9 departments: compliance, engineering, product, legal, finance, marketing, sales, design, or operations. Classification uses title keyword matching and job description parsing.

03

Scoring (Signal Score)

Each exchange receives a Signal Score (0–100) based on four factors. See methodology below.

04

Analysis

Our analysis layer compares current scores to historical baselines, flags anomalies (e.g. compliance surge at an exchange with low historical compliance hiring), and generates predictions with rationale and confidence scores.

05

Distribution

The intelligence is delivered via: weekly email brief (Fridays), live dashboard at /intelligence, public prediction tracker at /predictions, and via API (Enterprise plan).

Signal Score methodology

Signal Score is a 0–100 composite metric for each exchange. Higher scores indicate stronger, more actionable hiring signals. Here's the weighting:

ComponentWeightWhat it measures
Total role count30%Absolute number of active open roles. Normalized against exchange size and historical average.
Hiring velocity30%Week-over-week change in open roles. A 20% surge in 2 weeks scores higher than steady-state hiring.
Department weighting25%Compliance and engineering roles score 1.5× versus general operations. Reflects their higher predictive value.
Geographic concentration15%Roles concentrated in a specific jurisdiction (e.g. EU, US) amplify regulatory or expansion signals.
Score interpretation

80–100: Strong signal — significant hiring activity with clear directional intent. High-confidence prediction territory.
60–79: Moderate signal — above-average activity, worth monitoring closely.
40–59: Baseline — normal hiring activity, no strong directional signal.
Below 40: Weak signal — hiring freeze or contraction. Indicates consolidation or cost-cutting mode.

The prediction framework

Predictions are generated when a combination of signals exceeds our confidence threshold. Each prediction includes:

We publish outcomes publicly, including incorrect predictions. This accountability is intentional — it forces us to make specific, falsifiable claims rather than vague forecasts.

Track record

66
Predictions made
83%
Accuracy (resolved)
10
Exchanges tracked
18mo
Historical data

View all predictions — active and resolved — at signalmap.live/predictions.

What we don't do

Data sources

Job postings are sourced from:

All data is publicly accessible. Signalmap does not scrape or process private or authenticated data.

See the live signals — 83% accuracy track record

102 active predictions, 190+ intelligence posts, 67 companies tracked. Start with the free weekly brief or go Pro for the full signal stack.

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