5 Podcast Discovery Apps and Sites to Find Shows You’ll Love to Listen To

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There are over two million podcasts worldwide, and new ones are released daily. These podcast recommendation apps and sites will help you find shows worth listening to.

By now you’re probably familiar with popular apps for finding awesome podcast recommendations like Podyssey and Listen Notes. So we decided to dig a little deeper to find options you haven’t heard of or thought of, like the podcast equivalents of Rotten Tomatoes and Billboard Top 100 or a TikTok for podcasts. It’s a lot more fun than browsing genre directories.


1. Moon Beam (Android, iOS): TikTok or Reels for podcast clips

When Spotify acquired Podz, the podcast discovery app that played small clips in a feed, its algorithm started recommending only podcasts hosted on Spotify. If you want to browse a wider range of podcast clips, Moonbeam is the way to go.

Moonbeam is created by one of the founders of Kayak, who took inspiration from TikTok to create a similar interface for discovering podcasts. This gives you a stream of clips from various podcasts, calculated by machine learning based on your likes, bookmarks, and subscriptions. In this Beam section, you scroll through this stream to skip the currently playing clip and start the next one, just like a social media app.


The app also offers several playlists created by its editors and community members, which serve as clips of shows around a specific theme. Clips don’t have a standard time limit, with some not exceeding 45 seconds and others lasting over five minutes. So it’s up to you to decide how much you want to listen to.

Like all social media apps, Moonbeam gives better recommendations the more you use and interact with it. But, most importantly, it never feels too slow and starts the next clip on the fly as you scroll, which is essential for such quick podcast discovery.

To download: moonbeam for android | iOS (Free)

2. The discovery of Rephonic and Chart (Web): Find podcasts based on what you like

Podcast agency Rephonic has gathered a lot of data to serve its clients and is now using it to create cool products for audiences. Discover and Graph help you find a podcast you might like based on titles you’re already a fan of.

Rephonic discovery works similarly to recommendation engines such as LikeWise. You’ll see a table of different podcast titles and rate them with a thumbs up if you like them or click the trash can to remove them from the list. The list is updated with every decision, giving you new recommendations every time.

resonance graph is a visual network of nodes to find a podcast similar to the one you like. The backbone of this is Rephonic’s database of “millions of podcast connections from the data” Listeners are also subscribed to “shown in Apple Podcasts.” It is a 3D graph that you can zoom in and pan and swipe. Click on any other title for a brief description of what it is and “more information” for its page on Rephonic’s directory.

3. Chartable (Web): Billboard-style charts for the top 200 podcasts

The music industry has the Billboard Top 100. Podcast analytics company Chartable creates similar “Top 200” rankings for the podcast industry and posts them online for everyone to see. This is perhaps the easiest way to find out what people are listening to around the world.

Podcasts are basically ranked by most listened to on Apple, Spotify or any network. Plus, you can explore by region: the United States, Great Britain, Canada, Australia, Brazil, China, France, and India. The list is updated every Wednesday to reflect the top 200 podcasts, as well as the trending podcasts.

But scroll down and you’ll find a few hidden chart categories. Chartable also categorizes podcasts by genres, such as comedy, fiction, true crime, sports, and more. them online.

4. large pods (Web): Rotten Tomatoes for Podcast Reviews

Rotten Tomatoes is famous for aggregating movie and TV show reviews by established critics (not just average internet users). Great Pods tries to do this for podcasts, by building a database of podcasts and assigning a rating based on what reviewers have said.

At Great Pods, the focus seems to be on three popular podcast genres: true crime, music, and comedy. Yes, other genres are available, but the directory broadly includes these three categories, which makes sense since that’s where you’ll find most reviews from critics.

The main page is a great way to find featured podcasts, recently added reviews, branded podcasts, and upcoming titles with lots of buzz. In the directory, you can filter podcasts by genre and sort them by rating. That said, there aren’t many shows with multiple reviews from critics, so high ratings can be misleading.

Great Pods also offers a newsletter to get recommendations and find out what’s going on in the world of podcasting. However, it hasn’t been updated since June 24, 2022, so it might not make sense to subscribe to it. You can read past issues at Large Pods Substackyet.

5. The Pod Spotter (Podcast): A Podcast to Discover New Podcasts

How about listening to a podcast to discover new podcasts? Actor Zack Robidas hosts a weekly episode where he talks about the new podcasts he listens to and many of his classic favorites.

Along with recommending the new podcast, Robidas interviews its creators in freewheeling chat to learn more about why you should listen to them. The episodes also air clips from the series and discuss the thinking behind them. It’s a great way to get a taste of what to expect in the podcast and to see if you connect with the host – which is often the deciding factor in a podcast.

Pod Spotter Cats are available as video podcasts on YouTube, but you can also listen to them on your favorite podcast app without missing the video parts. Unfortunately, it is currently on hiatus after the 42-episode first season.

Find podcasts by guests you’ve liked elsewhere

While the apps and sites in this article should be able to help you find new podcasts you’ll enjoy, a few Redditors have shared a great tip. Among the podcasts you already listen to, there will be a few guests you liked. So find out what other podcasts they’ve guested on and watch this episode.

The idea behind this hack is that guests will likely go to like-minded podcasts. Plus, since you know how the guest was on your favorite podcast, it will be easier to judge the new podcast based on the interaction you’ve already heard. So, rather than going blind, you’ll have a good reference point to decide whether to listen to more of this podcast.


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