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Scam Catcher
Check if a US phone number is a scam in seconds
Check any US phone number before you call back. Scam Catcher combines FCC and CFPB complaint data, community reports, and caller-authentication signals to show scam risk, likely scam type, and confidence. No login, free to use, and built for fast decisions when an unknown number hits your phone.
Top comment
Hey PH 👋 I’m the maker of Scam Catcher. This started with a very ordinary problem: after enough breach fallout and spam waves, unknown calls stopped feeling random. I was ignoring everything and still wondering whether I was missing real calls. So I built the tool I wanted right before tapping “call back.” Scam Catcher checks any US number in seconds and shows: • scam risk • likely scam type • confidence score • supporting signals from FCC / CFPB complaint data, and community reports A few things mattered to me from day one: • no login • free to use • fast enough for the moment an unknown number hits your phone • honest about uncertainty: this is a risk check, not a government ruling I used AI-assisted tooling to build the first version quickly, then tightened the product around one question: Should I call this number back? I’d especially love feedback on two things: 1. Does the confidence score feel intuitive and trustworthy? 2. What extra signal would you want before acting on a verdict? If scam or impersonation calls are a real problem for you, drop the use case that annoys you most. I’ll be here all day and I’m happy to ship improvements from the comment
About Scam Catcher on Product Hunt
“Check if a US phone number is a scam in seconds”
Scam Catcher was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #66 on the daily leaderboard. Check any US phone number before you call back. Scam Catcher combines FCC and CFPB complaint data, community reports, and caller-authentication signals to show scam risk, likely scam type, and confidence. No login, free to use, and built for fast decisions when an unknown number hits your phone.
On the analytics side, Scam Catcher competes within Web App, Privacy and Security — topics that collectively have 135.5k followers on Product Hunt. The dashboard above tracks how Scam Catcher performed against the three products that launched closest to it on the same day.
Who hunted Scam Catcher?
Scam Catcher was hunted by Yiannis Giokas. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Scam Catcher including community comment highlights and product details, visit the product overview.