For a client in the background-screening industry, we built a platform that finds public social profiles, scans them for flagged content, and turns it all into a report, automating work an analyst used to do by hand.
Screening one person meant an analyst spending hours clicking through social profiles, reading posts, and grabbing screenshots of anything worth flagging. Done by hand all day, it was slow and easy to get wrong. We were asked to build a tool that does the legwork automatically and runs the same checks the same way on everyone.
Start from almost nothing, just a name
Search across the major networks
Capture proof of everything it flags
Run the same checks on every subject
From just a name, the platform tracks down a subject's public profiles using Google Custom Search and our own URL-matching, then ranks them by relevance so the analyst confirms which ones to scan.
On the chosen profiles, it reads through the feeds against keyword lists the team can edit, starting from a default set or their own.
Every match is screenshotted automatically the moment it's found, so nothing depends on an analyst spotting and saving it by hand.
Flagged findings compile into a PDF for review. When a full record is needed, a separate exporter captures a subject's entire feed across all three networks in one document.
What used to take an analyst a full day per subject now runs in minutes. They step in only to review what the tool has already flagged.
The same checks run the same way on every subject, so a result no longer depends on how thorough someone was feeling that afternoon.
Every flag arrives with its own screenshot and lands in a shareable PDF, so the evidence is documented rather than remembered.
If your team does the same repetitive work over and over, there's usually a tool waiting to be built. Let's talk about yours.