Updated

Updated · TechCrunch · Aug 26

Particle Launches Radar Podcast Search Engine, Indexing 130,000 Shows for AI Agents

Updated

Updated · TechCrunch · Aug 26

Particle Launches Radar Podcast Search Engine, Indexing 130,000 Shows for AI Agents

1 articles · Updated · TechCrunch · Aug 26

Radar transcribes and semantically indexes more than 130,000 podcasts, letting users search spoken conversations, pull quotes and highlights, and extract timestamped clips.
20,000 episodes are added daily, and Particle says the service covers all Apple Top 200 podcasts across 135 verticals with speaker labels, entity tracking and rich metadata.
Hedge funds are already the highest-volume API customers, with AI search platforms and data resellers also buying access as agents remain largely blind to audio unless it is transcribed.
Particle built Radar after seeing demand for podcast clips inside its news app and has now pivoted toward an API and MCP business, priced from $29 a month per seat and custom rates for API users.
The company plans to extend the product beyond podcasts into other audio sources, including YouTube videos and news clips.

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Could an AI search engine tracking every spoken podcast word expose brand secrets that traditional web crawlers miss?

What hidden financial signals are hedge funds extracting from your favorite podcasts before you even hit play?

As AI agents begin analyzing millions of hours of audio, who truly controls the narrative of spoken media?

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