OSINT Social Deletion Monitor
Before a major corporate event — acquisition, restructuring, layoffs — employees start scrubbing. LinkedIn bios stripped. Employer tags removed. Resume gaps smoothed over. Individually invisible. In aggregate, the deletion rate across company-linked accounts spikes 48-72 hours before the announcement. This tool simulates 14 days of professional network activity at a fictional company, then introduces a pre-announcement deletion wave. Watch for the signal.
Each bar is one 6-hour reading. The score measures how far insider profile-change activity (executive, engineering, HR, sales) deviates from its rolling 7-day average. Longer bars = more anomalous. Color shifts from green (normal) to red (statistically significant coordinated pattern).
Profile changes in the 48-hour spike window compared to the prior 48-hour baseline, by employee category. Insiders who know move first.
This demo uses simulated data. The Python CLI in the GitHub repo can analyze real datasets and monitor live sources via the Wayback Machine CDX API.
Requires Python 3.10+. No dependencies except requests for live monitoring. View source on GitHub →