In the modern digital world, where centralized platforms dominate web communication, there is a growing need for decentralized and anonymous forms of communication. This thesis presents the development of a web application, which enables an anonymous and decentralized text chatting, where users are seamlessly connected based on the songs they are listening to. The application requires no account registration and does not collect any user data, minimizing the risk of data leaks. User discovery and connection are done facilitated by the BitTorrent protocol, which is resistant to outages and censorship. The application ensures reliable song identification using the Chromaprint algorithm and the open MusicBrainz database. The main advantage of the application is its ability to enable effortless anonymous communication based on shared music taste, without relying on a central server or storing user data.
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