22 Interest Score
36 Discussions
1.64 Engagement
Feb 2025 Launched

Not sure if a website is legit or a scam? ScamMinder's AI is here to help. By scanning and analyzing websites in real-time, we give you the confidence to navigate the internet safely and avoid costly mistakes.

What the Community Said

We’re thrilled to launch ScamMinder, a platform dedicated to helping users identify online scams and navigate the web securely. Our mission is to empower people with the tools to browse safely and confidently. We’d love to hear your feedback and answer any questions you have about ScamMinder. Let’s make the internet a safer place together! 🚀

— [REDACTED]

Its helpful and brilliant site...

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I am absolutely delighted with Scamminder! This platform has been a lifesaver in ensuring my online safety. It efficiently analyzes URLs and identifies potential scams, giving me the confidence to navigate the web securely. The co-founder, Jorjandi, deserves immense credit for his professionalism and expertise in creating such a reliable tool. His dedication to online security is evident in Scamminder's exceptional performance. Thank you, Scamminder, for making the internet a safer place for eve

— [REDACTED]

Scamminder is a reliable and practical tool for staying safe online! Backed by AI and Mohammad Jorjandi’s expertise, it helps you spot scams and browse securely. Simple, insightful, and easy to use, I highly recommend trying it out!

— [REDACTED]

This is actually one of the few tools that can detect a scam project. Of course, its detection power is not yet definitive and the results need to be double-checked, but it is excellent and has a bright future.

— [REDACTED]

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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