Midnight Radio: A Generative Ambient

A generative ambient station of drones, rain, and distant thunder.

I built this project to test A generative ambient station of drones, rain, and distant thunder. The core engineering challenge was sustaining uncompromised 60 FPS rendering using Web Audio API while handling continuous user interaction without framework overhead.

WHAT I WAS TESTING: I focused on two core engineering benchmarks:

Continuous algorithmic generative music that never repeats, with sub-bass drone layers

Atmospheric rain, vinyl static, and distant thunder audio synthesis

THE TECHNICAL SIDE: Built entirely with native Web Audio AudioNodes. Oscillators tuned to just-intonation intervals modulate lowpass filters, while brownian noise generates random rain and thunder rumbles. Everything executes in the browser using Web Audio API, Generative Ambient Synthesis, Binaural Noise Engine. No third-party frameworks, no heavy runtime bundles, and zero external tracking.

WHAT I LEARNED: Audio clipping easily occurs when multiple generative sound layers peak concurrently. Implementing a master dynamics compressor node preserved acoustic clarity. Finding the sweet spot between mathematical precision and frame budget took careful profiling, but the result runs at a steady 60 FPS even on modest hardware.

TRY IT YOURSELF: The live build is deployed on my JSFiddle. Open it in your browser, test the controls, and observe the render response times.

If you are building high-performance 3D, physics, or creative web systems and want to collaborate, reach out here on Contra.