About JobRisk.io

Our Mission

Workers deserve to know about layoff risk before it becomes a headline. JobRisk.io exists to surface early warning signals from public data sources - giving job seekers, employees, and professionals the information they need to make informed career decisions.

We believe transparency about workforce trends is a public good. Every data point on this site comes from publicly available government records and statistics.

How It Works

We aggregate data from multiple public sources, apply a transparent scoring algorithm, and present the results in an accessible format. No paywalls, no gatekeeping.

  1. Collect - Daily automated ingestion of WARN Act filings from all 50 states, plus monthly BLS JOLTS reports.
  2. Score - Our algorithm weighs five signals (WARN filings, hiring trends, industry data, sentiment, and growth) to produce a 0-100 risk score for each company.
  3. Alert - Subscribers get notified about new WARN filings and significant score changes before they become news.

Learn more about our scoring methodology.

Data Sources

WARN Act Filings

The Worker Adjustment and Retraining Notification (WARN) Act requires employers with 100+ employees to provide 60-day advance notice of mass layoffs. These filings are public records maintained by each state's Department of Labor.

Bureau of Labor Statistics (BLS)

The BLS Job Openings and Labor Turnover Survey (JOLTS) provides monthly data on layoffs, hires, and separations across all major industry sectors. Available at bls.gov/jlt.

Public Hiring Data

Job posting volume from major aggregators provides a real-time proxy for hiring velocity. A sharp decline in postings often precedes layoff announcements.

SEC Filings & Company Reports

Publicly traded companies report headcount in quarterly and annual filings. These numbers provide ground-truth workforce size data.

What We Don't Do

  • We don't rely on anonymous tips, rumors, or unverified social media posts.
  • We don't sell data to employers or use it for hiring decisions.
  • We don't speculate - our scores are algorithmic, based on verifiable public signals.

Contact

Questions about our data or methodology? Reach us at [email protected].

Media inquiries: [email protected]