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HyperCatcher

HyperCatcher is a mobile app that unifies podcasts and newsletters with AI-powered transcription, contextual research, and interactive Podcasting 2.0 features.

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At a glance

Starting price
Price not listed
Free plan
Yes
Free trial
No
Founded
Not listed
Headquarters
Not listed
Team size
Not listed

What it does

Key features

AI-powered on-device podcast transcription"Hey Jamie!" instant contextual source lookup during playbackPodcast bookmarks with personal notes and context linksHyperCasts: enhanced podcasts with images, links, and webpagesUnified feed for podcasts and newslettersDedicated in-app email address for newsletter deliveryNewsletter read-aloud functionalityFarcaster client integration for sharing and commentsOn-chain/NFT podcast media supportPodcast chapter editor meeting Podcasting 2.0 specTrending podcast suggestionsLocal-first storage for transcripts and media

Integrations

Farcaster

Platforms

ios

About HyperCatcher

HyperCatcher is a mobile podcast app developed by David Norman that combines podcasts and newsletters into a single unified feed. It uses AI to transcribe podcasts on-device, generate searchable transcripts, and provide instant contextual research through its "Hey Jamie!" feature, which surfaces links to sources for topics being discussed live. Users can subscribe to podcasts and newsletters, with newsletters deliverable to a special in-app email address and readable aloud like audio content.

The app supports "HyperCasts," enhanced podcasts that display interactive chapter text, images, and web links as listeners progress through an episode. Additional features include contextual notes with linked transcript snippets, an activity feed of bookmarks and chapters, and notifications for new content and supplementary media. HyperCatcher also integrates with Farcaster, allowing users to share podcasts and comments and view trending podcast discussions from that network, and supports on-chain/NFT podcast media.

Through HyperCatcher Studio, the company offers tools for podcasters to generate AI-powered chapters, transcripts, and other Podcasting 2.0-compliant interactive content, along with deep-linking resources to direct audiences to subscribe within the app. The service targets both podcast listeners seeking a consolidated, algorithm-free content experience and podcast creators wanting to add interactive, multimedia-enhanced features to their shows.

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