Onlurn - Podcast Discovery 4+

Listen/Discover on Apple Watch

Nicholas Seawater

Designed for iPad

    • 5.0 • 2 Ratings
    • Free

Description

Get the best of news and entertainment on your wrist with Onlurn: Apple Watch Podcasts. Discover, stream and listen to your favorite podcasts anytime, anywhere.

Introducing Onlurn: Apple Watch Podcasts - the ultimate podcast listening experience for your Apple Watch.

With Onlurn, you can easily search and browse through the entire iTunes podcast library, listen to and discover your favorite podcasts on the go, and keep up with the latest news and entertainment.

Our advanced podcast player is fully optimized for the Apple Watch, allowing you to control what you download and stream with ease. You can go to the chapter section of the player and load chapters on demand, saving you bandwidth. Our player also includes rapid downloading and progress indicator, saving your place in the podcast and autoplay options.

Manage your favorite podcasts, create custom playlists and enjoy super-fast streaming and smooth playback. And the best part, it's all right on your Apple Watch.

You can also, use our data your way with Onlurn. Our advanced settings allow you to adjust the audio playback speed, skip interval, audio interaction options, and more. And with our iCloud feature, you can easily transfer your playlists and favorites to any device.

With Onlurn, you'll never miss a moment of your favorite podcasts. Download now and start listening on your Apple Watch today.

What’s New

Version 1.4.3

Onlurn Version 1.4.3 includes the following improvements:
⍟ New Look: App Icon, Artwork, and Metadata improvements were implemented.

Ratings and Reviews

5.0 out of 5
2 Ratings

2 Ratings

App Privacy

The developer, Nicholas Seawater, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary, for example, based on the features you use or your age. Learn More

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