Developer Builds Automated Radio Station WXRQ With Full Production Pipeline

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A developer launched WXRQ, an automated radio and television station built from a custom production kit, reaching version 0.6.13 within a week. The system handles the entire workflow from written script to HLS livestream, including voice rendering, take selection, music bed addition, scheduling, and encoding. The stack combines Python, Django, Chatterbox, LMMS, NVENC, and a lightweight web player, with each tool assigned a specific role in the pipeline. A lecture pipeline also converts Creative Commons textbooks into narrated courseware, broadening the station beyond standard programming. The public player and schedule are accessible at radio.capsize.online, making the station discoverable to listeners outside the development environment.

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How 1950s–60s Engineers Laid the Groundwork for Modern Reinforcement Learning

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