Scamwise
A smarter scam checker. Clear answers in seconds.
50 followers
A smarter scam checker. Clear answers in seconds.
50 followers
Submit any suspicious text, screenshot, email, or just describe what happened. Scamwise's AI analyzes behavioral patterns and contextual signals - not just stale databases - to give you a clear verdict and next steps in seconds. Free. No account. No ads.
Hey Product Hunt
I'm Ryan, co-founder of Savi Security. My brother Patrick and I built Scamwise, and I want to tell you why.
Last year, our mom got a call from scammers who had spoofed our sister's phone number and cloned her voice with AI. They ran a hostage scenario - send money now or they'd kill her. Our mom was alone, terrified, and seconds from wiring thousands of dollars. She got lucky. Millions of people every year don't.
That call changed everything for us. We kept thinking about all the people who don't have someone to call when something feels off - the parents, the grandparents, the people who try to figure it out alone.
The problem: Americans lose over $100B to scams every year, and AI has made them nearly impossible to distinguish from legitimate messages. The old tools aren't keeping up - they check databases of known bad actors, but if a scam hasn't been reported yet, they miss it entirely.
What Scamwise does differently:
🧠 Goes beyond blocklists. Our AI agent also analyzes behavioral patterns and contextual signals in the content itself - the subtle cues that reveal a scam before it's ever been reported.
📋 Accepts any input. Text, screenshots, photos of physical mail, emails, or just describe the situation in your own words. You can even forward suspicious emails to [submit@scamwise.com](mailto:submit@scamwise.com).
✅ Clear answers in seconds. No jargon, no scare tactics - just a calm verdict and specific next steps.
🤝 Actually free. No ads, no account required, no pop-ups, no data games. We built this to help people, not to monetize your panic.
Between us, my brother and I have spent our careers in a mix of cybersecurity and consumer tech. We started Savi to protect families in a world where the threat is evolving faster than the tools available to fight it.
Scamwise is our first product and it's 100% free. We want to earn trust by delivering something genuinely useful with no catch.
Try it right now at scamwise.com - it takes about 10 seconds. And if you have a parent, sibling, or friend who's ever sent you a screenshot asking "is this real?" - send it their way.
I'd love to hear from you: What's the most convincing scam you or someone you know has encountered? We're learning from every submission and building more tools to stay ahead.
Thanks for checking us out 🙏
Ryan Coughlin
Co-founder & CPO, Savi
Love this! My parents almost got scammed last month, and this really would have helped. Question for you—how does the scam detection actually work?
@gabbyconnacher sorry to hear that. It's a lot more common than people realize. I hope they are ok. DM me Scamwise uses an LLM, with domain knowledge about scams and cybersecurity baked in. It's also able to look up things like phone numbers, URLs, emails, etc. against several databases, and searches the open internet. So it isn't just using an LLM's intuition, it is using intelligence from many sources to make an informed decision.
Tango
Another banger product from the indomitable @pcoughlin1 and @stephanie_long3 !!!
@pcoughlin1 @stephanie_long3 @ken_babcock Thanks Ken!
@ken_babcock we’re back out here slinging products on product hunt! It’s been a while. Thanks for checking it out!
Can it detect scam patterns in screenshots like fake shipping notifications or phishing emails? Congrats on the launch!
Paces
My family is scattered across 3 countries and we have had so many issues with this! Love how this is solving this issue!
@james_mcwalter Thanks, James 🙏🏼 We have tested with our own families and found it to be helpful so far. Crazy how much older adults get targeted on a daily basis — this keeps the family text chain a little more fun than trying to debate if something is a scam.
@james_mcwalter well said! thanks james!