PodcastQuote: answers sourced from podcast guests
Answer only from what podcast guests actually said, with links to the moment
- Problem
- When listeners want to find what a guest said about a topic, they scrub through audio or dig through show notes, which is slow and unreliable. Generic AI summaries may add their own inference, so users can't tell what the guest actually said versus what the model made up.
- Solution
- A podcast Q&A tool that answers only from transcripts and links each answer to the exact audio moment where the guest said it. Users can jump straight to that second, keeping every claim traceable and free of outside knowledge.
- Users
- Heavy podcast listeners, interview-based writers, market and research analysts who cite guest statements
- MVP
- Ingest public transcripts from a few popular shows; return timestamped quoted clips on question; click-to-jump to audio position; clearly label 'based only on guest words'; filter by show or guest
- Revenue
- Free basic Q&A, paid full-library access and citation export; team seats for researchers; affiliate links to audio platforms
- Why now
- Podcast transcription and open ASR are cheap enough, but traceable Q&A remains rare, offering a credibility-focused niche beyond generic AI summaries