DeepCheck: AI People Finder - Social Search & Profile Lookup

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Hey Product Hunt πŸ‘‹ Quick relaunch update on DeepCheck β€” since our original post, we've improved search ranking accuracy, sped up scanning across 50+ platforms, and fixed a crash affecting certain searches. The core idea stays the same: enter a name, username, or phone number, and DeepCheck surfaces public social profiles β€” anonymously, so the person you're looking up is never notified. Handy before a first date, reconnecting with old contacts, or IDing an unknown caller.

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Hey Product Hunt πŸ‘‹ I built DeepCheck after noticing how often people want a quick way to check who they're really talking to online β€” before a first date, before sending money to a stranger on a marketplace, or just when an unknown number keeps calling. Most existing tools felt clunky or buried the actual useful info behind a dozen upsells. This is a relaunch: since the original post, we've shipped a few rounds of improvements based on real usage β€” better search ranking accuracy (especially for common names/usernames), faster scanning across our 50+ supported platforms, and a fix for a crash affecting certain searches. Still actively improving it. Happy to answer anything about how the search actually works under the hood, or where it still falls short.

Tried it with my own name and honestly it pulled up way more old profiles than I expected, kind of eerie but the scan was pretty fast. The anonymous side is a nice touch too.

Β Thanks for trying DeepCheck, Naz. Finding more old profiles than expected can definitely feel a little eerie. We’re glad the scan felt fast, and it’s great to hear that the anonymous mode was useful. We’re continuing to improve how results are explained and reviewed so they feel more transparent and easier to trust.

Would love to see a confidence score next to each result so I can tell at a glance which matches are likely the right person vs false positives.

Β That’s a great suggestion. A confidence indicator would make it much easier to quickly separate likely matches from possible false positives. We’re looking at showing both a confidence level and the key signals behind each result, rather than making every match look equally reliable. Thanks for calling this out.