What We're Finding
We score thousands of job listings every day. Here's what the data is telling us.
Subscribe on Substack →xAI Posted 6 Identical Senior Roles in 48 Hours. Five Days Later, the Cofounders Were Gone.
Job postings are corporate exhaust. When a company suddenly posts 6 identical senior roles in 48 hours, something happened. We built a detector that catches these signals before the press does.
Read →We Analyzed 52,000 Job Listings for Ghost Jobs. Your Odds Are Worse Than You Think.
52,398 listings. 1,778 companies. Nearly a third of all dated postings are older than 90 days. Here's what the data actually looks like inside the hiring pipeline — and which companies are worth your time.
Read →How We Built a Job Data Pipeline on a $30 Database
We built a distributed job market data pipeline — ATS scraping across a dozen providers, a three-stage domain validation gate, dozens of enrichment sources, and 7 VMs coordinated through a $30 Postgres database. Here's how.
Read →Do ATS Systems Actually Reject Your Resume? What Job Seekers Get Wrong
Applicant tracking systems aren't rejecting you because of a missing keyword. Here's what's actually happening — and why you should check if a job is real before tailoring your resume.
Read →How to Spot a Ghost Job Posting: 4 Red Flags (2026)
About a third of job listings show poor quality signals. Here's how to evaluate whether a job posting deserves your application before you spend 45 minutes on a Workday form.
Read →Job Listing Quality Statistics 2026: We Scored 1,000 Listings
How many job listings are actually worth applying to? We scored 1,000 real listings with a 51-signal quality engine and validated against two frontier LLMs. Here's what the data shows.
Read →