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Podcast search and recommendation engine.

Podcast search and recommendation engine.

Discovering new audio is hard. Information about podcasts is fragmented all over the place. Most podcast recommendations travel through Twitter, word of mouth, and other podcasts. We've collected all that data in one place to create Audiosear.ch: the most comprehensive web source of podcast and radio data.

Audiosear.ch a full-text search and recommendation engine for radio. The Audiosear.ch API provides audio distributors, platforms, and apps with episode recommendations that can be broken down by show, network, category, topic, and more. It generates data about trending topics in podcasts and which radio shows people are talking about most on the web.
Founder @Pop Up Archive • Studied @University of California Berkeley (Masters in Information) • @North Carolina State University • Winner of @Knight Foundation News Challenge • Worked @Yahoo

Anne Wootton

Avatar for Anne Wootton
Pop Up Archive founder • @University of California Berkeley (Masters in Information Science), @Brown University@Knight Foundation News Challenge Winner

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