A NotebookLM alternative for the podcasts you follow
If you have been looking for a NotebookLM alternative built for podcasts, this is it. PodPast turns the podcasts you already follow into a searchable, askable knowledge source inside Claude - ask what a guest said and get the answer with the quote and timestamp.
NotebookLM, but for the podcasts you follow, inside Claude
NotebookLM shines when you already have the documents in hand. Podcasts are a different problem. The ideas you want are buried in hours of audio you have already heard, spread across a dozen shows, and you do not have neat transcripts sitting in a folder to upload. By the time you remember that a guest said something sharp about pricing, you cannot find the episode, let alone the minute.
PodPast closes that gap. Instead of uploading files, you point it at the shows you already follow, and your listening history becomes something you can actually query.
How it works
- Follow a show by name or URL.
- PodPast builds a searchable index of every episode, past and future.
- Ask Claude a question, and PodPast retrieves the exact moments that answer it - with the quote and the timestamp.
No scrubbing through audio, no copy-pasting transcripts, no per-episode busywork.
A real example
Say you follow a handful of startup podcasts. You ask Claude:
What did the guest on the SaaS pricing episode say about usage-based billing?
PodPast answers with the specific passage and the timestamp it came from, so you can jump straight to the moment and hear it in context. Ask across your whole library at once and it will pull the answer from whichever episode actually covered it.
What makes PodPast different
- It works on the podcasts you already follow, not documents you have to gather and upload.
- Every answer comes back with the quote and the timestamp, so you can verify it and jump to the source.
- It runs inside Claude as a hosted connector, not yet another app to open and check.
PodPast is new, solo-built, and Claude-native. It runs in Claude.ai today, free to start, with paid tiers as you add more shows.
If you have been wanting NotebookLM for the podcasts you follow, give it a try.