Layoff Monitor - Surfacing Hidden Talent from Big Tech Cuts
Aggregates indirect signals from Reddit, GitHub, HackerNews, and Google CSE to identify individual engineers affected by Big Tech layoffs — turning statistical headlines into actionable sourcing leads.
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Big Tech Layoffs: Thousands of Names, Zero Visibility
When a major tech company lays off 10,000 employees, the world sees a headline and a number. What it doesn't see is who those people are. Companies never publish individual names. The talent — often deeply experienced engineers, ML researchers, and infrastructure specialists — scatters across LinkedIn updates, Reddit threads, and personal blogs.
Recruiters hunting for this talent had no systematic way to find them. The signal was there, buried in public forums and social posts, but no one was aggregating it. The richest talent pool in any given quarter was effectively invisible.
Indirect Signals Turned into a Sourcing Pipeline
Built a monitoring system that aggregates indirect layoff signals from seven public sources: Reddit threads, GitHub activity changes, HackerNews posts, Google Custom Search results, LinkedIn public updates, company blog announcements, and news APIs. Each signal is cross-referenced to build candidate-level profiles from what would otherwise be statistical noise.
Recruiters can now filter by company, role type, seniority, and recency — turning a mass layoff event into a structured, searchable pipeline of proven engineers within days of an announcement, not weeks.