This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
My mum forwarded me a WhatsApp message one evening asking, "Is this real?" It was a job scam. She almost clicked the link. I realised there was no fast, simple way for a regular person to check — the official advisories are slow, the awareness campaigns can't keep up, and the tactics change weekly. Singapore loses S$650 million to scams every year, and most of the victims aren't careless — they're just caught off guard for 10 seconds. ScamGuard AI was built for those 10 seconds. Paste the message. Get an answer. No account, no paywall, no friction.
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About ScamGuard AI on Product Hunt
“Paste any message. Know if it's a scam in seconds”
ScamGuard AI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #11 on the daily leaderboard. AI-powered scam detection from a screenshot or WhatsApp message. Tested with phishing emails, love scam messages, or malware emails.
ScamGuard AI was featured in Artificial Intelligence (468.6k followers) on Product Hunt. Together, these topics include over 93.2k products, making this a competitive space to launch in.
Who hunted ScamGuard AI?
ScamGuard AI was hunted by Daniel Lin. 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.
Want to see how ScamGuard AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Daniel Lin