
Radar by Particle
The Podcast Search Engine
About Radar by Particle
Radar by Particle is an innovative podcast search engine designed to make the vast world of audio content easily discoverable. By indexing over 130,000 actively transcribed podcasts with approximately 20,000 new episodes added daily, Radar enables users to find specific conversations, topics, or insights across billions of lines of transcribed content. Powered by Particle’s Podcast Intelligence API, it offers a powerful search experience not just for consumers but also for developers and businesses seeking to integrate podcast search capabilities via API or MCP. This tool is ideal for anyone looking to tap into the depth of modern podcasts—journalists, researchers, marketers, and developers alike—who want to locate relevant content quickly and efficiently. Its ability to search through extensive, fully transcribed episodes sets Radar apart from traditional podcast directories and search options, making it a valuable resource for accessing timely, thoughtful conversations happening in real-time.
Screenshots



Pros
- ✓Access to a vast and actively transcribed podcast database with over 130,000 shows
- ✓Daily addition of approximately 20,000 new episodes ensures up-to-date content
- ✓Fully searchable transcripts enable precise and detailed searches
- ✓API integration allows developers to embed podcast search into their applications
- ✓Supports a wide range of topics within the tech, AI, and developer community
Cons
- ✗Currently lacks a detailed publicly available pricing structure
- ✗Product Hunt votes are low, indicating potential limited visibility or adoption
- ✗May require technical setup for API integration for non-developers
Use Cases
Pricing
Pricing not verified
Quick Info
Topics
Makers
Naomi Plasterer
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