Blog
Updates, engineering deep dives, and thoughts on the future of podcast search.
Introducing TrackPodcasts.com: AI-Powered Podcast Search
Today we're launching TrackPodcasts.com, the first search engine built specifically for finding content inside podcast episodes using AI transcription.
How We Transcribe Millions of Podcast Episodes
A deep dive into our transcription pipeline: from audio ingestion to searchable text. Learn how we use Whisper and custom models to achieve high accuracy at scale.
Building Fast Full-Text Search with PostgreSQL
Why we chose PostgreSQL tsvector over Elasticsearch for our search infrastructure, and how we handle millions of transcript segments with sub-second query times.
The Podcast Discovery Problem (And How We're Solving It)
Over 4 million podcasts exist, but finding specific conversations is nearly impossible. We're changing that with transcript-level search.
Transcription Accuracy: Our Latest Benchmarks
We tested our transcription pipeline against industry benchmarks. Here's how TrackPodcasts.com performs across different languages, accents, and audio conditions.
New: Save Episodes, Follow Podcasts, and Search History
We're rolling out user accounts with the ability to save episodes, follow your favorite podcasts, and keep track of your search history.
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