Why I Built Scamometer in 30 Days to Tackle Online Scams

Introduction As developers, we've all been there - receiving suspicious messages or emails that make us wonder if they're legitimate or not. With the rise of online scams, it's becoming increasingly difficult to distinguish between genuine and fake messages. I've lost count of how many times I've received phishing emails or messages that seemed too good (or bad) to be true. This got me thinking - what if there was a tool that could help us identify potential scams? After 30 days of intense development, I'm excited to share Scamometer ( https://scamometer.io ) with you, a tool that uses AI to analyze suspicious messages and provide a scam probability score. The Problem We've all heard the statistics - online scams are on the rise, and they're becoming increasingly sophisticated. From phishing emails to fake job offers, scammers are getting better at making their messages look legitimate. As a developer, I know how easy it is to get caught up in the excitement of a new opportunity or to