Web Privacy AI

Most people don't realize how exposed they already are, a quick search of their own name often turns up their address, relatives, and past towns on people-search sites they never signed up for, collected and sold by data brokers, and frequently behind spam calls, phishing, and identity theft. Opting out manually means working through 199+ sites, each with its own process, with listings reappearing weeks later. The client wanted all of that reduced to an app someone could run in a couple of taps enter your details once and let the product handle scanning, removals, and monitoring for one person, a family, or a company.

The user side is kept deliberately simple enter your details once and the app scans more than 199 data broker and people-search sites, then files opt-out and removal requests automatically, with no forms to fill in and no follow-up chasing. Because brokers tend to relist the same data, the app keeps watching afterward and re-files whenever it resurfaces or a new site starts listing you, reporting everything in plain language so the user can see exactly what was found and what was removed. Plans scale from Individual to Family (up to eight people) to Enterprise, with a three-day free trial. The app that removes user data was built to collect none of its own.

The product is a single Flutter app on top of a Python service running on Google Cloud. Flutter covers the different devices from one codebase, while the Python service crawls each broker site, matches results against the user's profile, runs opt-out flows in bulk, and re-checks on a schedule so removals hold rather than reversing. Google Cloud handles the scale and queueing needed to keep a scan across 199-plus sites fast and reliable, and every removal is tied back to a specific site and listing, which is what the privacy reports are built from. What used to be hundreds of hours of manual opt-outs becomes a background service the user sets up once and stops thinking about.

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