Tracking the crypto-native middle-market's struggle to staff senior finance roles — with data, not opinion.
An open-source dashboard that aggregates publicly-available job posting data to answer one question: Can the crypto industry staff its finance orgs?
The Senior Finance Stall Ratio measures, per sub-sector, what percentage of senior accounting and finance roles at crypto-native middle-market companies have been open for more than 60 days. A high ratio means the talent isn't there. A low ratio means the sector is staffing up.
| Stall ratio | Phase | What It Means |
|---|---|---|
| 0–25% | Fluid | Sector hiring at normal pace; talent is reaching companies |
| 26–50% | Tight | Real friction in finding qualified senior finance talent |
| 51–75% | Stalled | The talent pipeline is failing the sector |
| 76–100% | Drought | Finance org build-outs frozen; outsourcing or compliance failure looms |
| Signal | Source | Frequency | What It Measures |
|---|---|---|---|
| Stall Ratio (60+ days) | Greenhouse / Ashby / Lever public job-board APIs | Daily | % of open senior-finance roles older than 60 days, per sub-sector |
| Hiring Velocity (7d) | Greenhouse / Ashby / Lever | Daily | Total finance roles opened in the trailing 7 days |
| Hiring Velocity (30d) | Greenhouse / Ashby / Lever | Daily | Total finance roles opened in the trailing 30 days |
| Average Finance Role Age | Computed from job-board APIs | Daily | Mean age of currently-open Tier-1/2/3 finance roles, per sub-sector |
| Open Listings Count | Greenhouse / Ashby / Lever | Daily | Total open listings per sub-sector (the denominator) |
Every signal uses free, public data sources — no proprietary APIs, no paywalls.
- Data, not opinion. The dashboard presents signals. It does not editorialize.
- Reproducible. Methodology is open. Anyone with a list of crypto-native companies and access to their public careers pages can compute these numbers.
- Automated. Updated daily on a schedule. No human curation of the daily data.
- Durable. Only signals with reliable, ongoing public sources are included.
- Accessible. Single page. No login. No paywall. Mobile-friendly.
data/snapshots/ Versioned daily JSON snapshots
data/latest.json Most recent snapshot (what the dashboard reads)
docs/ Static dashboard (HTML/JS/CSS — GitHub Pages)
.github/workflows/ Automated refresh schedule
METHODOLOGY.md How every signal is computed, with sources
Data is generated by scanning a curated list of crypto-native middle-market companies' public job-board APIs (Greenhouse, Ashby, Lever), then aggregating into per-sub-sector metrics. The target list and aggregation code are maintained privately; only aggregate metrics are published here. See METHODOLOGY.md for details.
Four signals from the crypto economy's nervous system:
- cfo-gap — Can crypto staff its finance orgs?
- crypto-tool-curve — Is purpose-built crypto-accounting tooling adopting?
- compliance-canary — Is crypto getting ready for regulation?
- comp-pulse — Which direction is crypto-native comp drifting?
Sibling to The Canaries: displacement-curve · stablecoin-signal · quantum-qanary.
MIT — see LICENSE.
— Jay Schulman · jayschulman.com