Website owners can enhance user experience by remembering individual preferences and configurations, typically through cookies or logins, but Fingerprint offers a more precise alternative that requires no user actions. This article explores how Fingerprint operates using browser fingerprints, which are unique values created from device data like browser type, hardware, and IP address, and demonstrates its utility in fraud detection, preventing paywall bypass, and reducing bot traffic. The tutorial section guides users through implementing dark mode on a Next.js website using browser fingerprints to remember user preferences anonymously, detailing steps for setting up a toggle button, applying dark mode styles, and storing user choices with Fingerprint Pro and a custom API. Despite its effectiveness in recognizing users even in incognito mode, preferences may not transfer across different browsers, highlighting Fingerprint's potential in user identification, fraud prevention, and preference storage without requiring user identification.