NotebookLM's Audio Overviews proved that two AI hosts discussing your documents is a genuinely good way to absorb information. But it's manual, closed, and lives inside Google. Here's the self-hosted, always-on version of that idea.
With NotebookLM you upload a document, click, wait, and download. Repeat for every document, every day. listenwhilerunning inverts this: you declare your sources once — RSS feeds, subreddits, a folder of ebooks — and a pipeline generates audio on schedule, publishing everything to one private podcast feed your podcast app already follows. New audio just appears.
Fairness matters: NotebookLM's interactive mode (interrupting the hosts to ask questions) and its deep multi-document grounding are ahead. If you need conversational Q&A over a research corpus, use NotebookLM. If you want your daily information diet turned into audio automatically, that's what this project is for.
The format is similar — two hosts, natural back-and-forth, disagreements and summaries. Voice quality depends on the TTS you configure; the default neural voices are close to human narration.
Yes. Any OpenAI-compatible endpoint works (OpenRouter, a local model behind a compatible API, etc.). Without an LLM it degrades to plain readout.
A hosted version is under evaluation — join the waitlist on the homepage and you'll be notified at launch.