DeFM, a streaming service running fully on the Internet Computer, has released a new update that expands its reach and sharpens the experience. Built by @perlandreTech using Caffeine AI, the platform now gives listeners access to more than 46,000 radio stations, complete with new controls to move between previous and next stations, a session-based listening history, and a faster, more responsive search function.
The first load may take a few seconds due to the way the service is structured, but once running it delivers a smooth stream of content that feels familiar to users of conventional platforms. A quick browser cache refresh is usually enough to fix any issues that might appear.
What makes DeFM stand out is not just the scale of its library but the fact that it operates entirely on-chain. Every aspect of the service is hosted directly on the Internet Computer rather than relying on traditional servers. By building with Caffeine AI, the project demonstrates how emerging tools can simplify the development of decentralised applications while still delivering the features audiences expect.
DeFM shows that decentralised media doesn’t have to mean stripped-back functionality or clunky design. With quick navigation, playback history and a broad catalogue of stations, it looks and feels like a polished web app, yet its foundations lie in an infrastructure designed for openness and resilience.
The latest update reflects the growing maturity of applications on the Internet Computer, offering a clear example of how decentralised systems can underpin services people use every day. DeFM is positioning itself as proof that web-scale media platforms can thrive in a fully on-chain environment.
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