
Monitors public signals across Reddit, GitHub, HackerNews, and Google CSE to rapidly surface experienced engineers entering the market during workforce transitions — feeding structured leads into downstream recruiting workflows.
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When major tech companies restructure, experienced engineers, ML researchers, and infrastructure specialists re-enter the market all at once. But there's no central directory — these individuals surface across LinkedIn updates, Reddit threads, personal blogs, and forum posts over days and weeks.
Without a systematic way to aggregate these signals, recruiters miss the window entirely. The highest-density talent pool in any given quarter was effectively invisible to the teams that needed it most.
Building a monitoring system that cross-references seven public signal sources — Reddit threads, GitHub activity patterns, HackerNews posts, Google Custom Search results, LinkedIn public updates, company announcements, and news APIs — to assemble candidate-level profiles from what would otherwise be noise. Each signal is weighted and deduplicated to produce high-confidence leads.
The output feeds directly into existing talent map and outreach workflows, letting recruiters filter by company, role type, seniority, and recency. The goal: turn a workforce transition event into a searchable pipeline of proven engineers within days, not weeks.