TraceKill
Automated personal data removal and exposure monitoring
Inside the project
01 / 03Live TraceKill capture showing the public exposure scan and case-file visual.
The brief
A problem worth
building around.
Individuals have no practical way to remove personal data scattered across hundreds of data brokers. Manual removal is tedious, time-consuming, and data reappears within months.
Our approach
Built a live Elixir/Phoenix platform that discovers likely broker matches, presents a fast exposure scan, and tracks opt-out workflows through real-time status surfaces. Background processing runs the broker queues, scheduled checks, and follow-up removals.
The experience
What it lets
people do.
The capabilities that turn the underlying engineering into a usable product.
- 01
Start with the exposure
The public scan gives people an entry point into a difficult privacy problem: finding where their information appears on broker sites. The interface turns the discovery step into a focused case file.
- 02
Make progress visible
Removal requests and their current status belong in the same workflow. Live status surfaces help people follow what has been requested and what still needs attention.
- 03
Keep checking after the first removal
Personal data can reappear. Background queues and scheduled checks support follow-up work, so the product is designed around ongoing monitoring as well as the initial scan.
Project record
What came out of it.
Live exposure scan available at tracekill.com
Monitors 508+ broker sources
Automated background processing for scheduled re-scans
Phoenix/OTP architecture built for resilient privacy operations
Under the hood
Fault-tolerant Elixir/Phoenix architecture with real-time dashboards and automated background processing
Fault-tolerant Elixir/Phoenix architecture with real-time dashboards and automated background processing
Facing Similar Challenges?
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