Tracking book mentions across podcast episodes
Show HN: Tracking book mentions across podcast episodes
Tracking book mentions across podcast episodes operates in show hn launch.
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Hi HN! I built this tool because I wanted to answer a simple question for myself: which books come up most often across the podcasts I listen to?The pipeline is straightforward at a high level: transcribe episodes with faster_whisper running locally on an RTX 3060, run the text through GPT-5-mini to pull out structured book mentions, and store everything in Azure SQL and Blob storage. The frontend is a small Flask app using HTMX, Tailwind, and some D3 for the visualizations.The part that turned out to be much more time consuming than expected was deduping. Everything else scaled nicely, but normalizing book titles is still the one piece I can’t fully automate without quality drifting. Fuzzy
The company sits in the show hn launch segment, where it competes on its core product or service.
Directory data places it at the Show HN launch stage.
| Sector | Show HN launch |
|---|---|
| Stage | Show HN launch |
Website: www.mavensignal.comHappy
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