![]() And for new or less-popular podcasts, users can manually “request” that Snipd work its magic, so that it gives them highlights, chapters, transcripts and all the rest within around 20 minutes. The app automatically generates highlights for the more popular podcasts, using criteria such as how many of its users are subscribed to a show. It’s also worth stressing that Snipd’s new feed focuses on newly released podcast episodes, particularly those released in the previous two weeks - in the future, there are plans to adopt an approach that’s more akin to YouTube, in terms of suggesting older content that Snipd thinks is relevant and interesting.Īway from the new TikTok-inspired highlights feed, Snipd users can still access AI-driven highlights for each episode in their main subscriptions list, regardless of how current the episode is. But Snipd eventually plans to give listeners more granular controls over what content appears in their highlights feed, including the ability to filter out clips from podcasts that they haven’t specifically subscribed to. While this might be construed as a positive move by those looking for help finding new and useful podcasts, it could irk users who only want to see content that they have specifically subscribed to. But there are many other important signals such as what the user has listened to, highlighted, and saved, or what is currently trending among other users.” “Whether the user is subscribed to a certain show is a strong signal, which is why a lot of the shown content comes from a user’s subscriptions. “The goal of the algorithm is to present the user with content they are interested in - for this, we use various signals,” Snipd co-founder Kevin Smith explained to TechCrunch. This means that the episode feed is not based purely on users’ podcast subscriptions, as it also pulls in content that Snipd thinks they will be interested in based on their chosen subjects, among other “signals.” “history” or “music”), which Snipd uses to generate these highlights. It’s worth noting that with the app’s latest update, users are now asked to select their favorite topics (e.g. Image Credits: Snipdįrom there, listeners can save each clip to their library, or - if they like what they’re hearing from the short segment that Snipd has presented - jump directly into the full podcast episode. “TikTok”-inspired feed of podcast highlights. But Snipd is striving to be much more than another podcatcher, in terms of how it analyzes the content of episodes to help listeners curate and get to the heart of the details that matter.įor example, Snipd can create “chapters,” which separates each episode into navigable segments with their own title, while it can also generate transcripts of entire shows. Similar to other so-called “podcatcher” apps, Snipd works by users searching and subscribing to podcasts that are of interest to them - this could be anything from true crime to history and sport. ![]() One of these is Snipd, a Swiss startup building a podcast app that uses AI to transcribe content and synchronize with note-taking apps, automatically generate book-style “chapters” and, as of this week, deliver podcast highlights in a TikTok-style personalized feed. ![]() Against that backdrop, major players in the field are bolstering their podcasting armory, with Spotify recently doling out around $85 million for two companies specializing in podcast measurement and analytics, while Acast recently snapped up Podchaser - an “IMDb for podcasts” that gives advertisers deeper data insights - in a $27 million deal.īut as the big platforms lock horns in the hunt for podcasting riches, smaller players continue to arrive on the scene with their own ideas on how to advance the podcast medium for creators and consumers alike. alone expected to hit $2 billion this year - a figure that’s set to double by 2024. Podcasting has emerged as a major billion-dollar industry, with ad revenue in the U.S.
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