GoKawiilParticle pivots to podcast search with new AI tool Radar
Particle, the AI newsreader startup started by ex-Twitter engineers, has launched Radar, a search engine that transcribes and semantically indexes over 130,000 podcasts to surface quotes and highlights. The product grew out of a popular clip-sourcing feature in Particle's news app and is now offered as a standalone API for AI agents and data buyers, including hedge funds and search platforms like Exa.
GoKawiil's interpretation of the reporting above, not reported fact.
Most AI agents crawl text-based web content and remain effectively deaf to spoken audio, leaving a huge trove of podcast conversations unindexed and unusable for automated analysis. By turning that audio into structured, searchable data, Particle is positioning itself as critical infrastructure for finance, research and AI search tools hungry for information edges competitors can't easily access.
- Radar transcribes and semantically indexes more than 130,000 podcasts for searchability.
- Hedge funds are currently Radar's highest-volume API customers, seeking data invisible to typical AI agents.
- Particle is shifting from a consumer news app toward a B2B audio intelligence API business.
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Published there as: “Radar makes podcasts searchable — and usable by AI agents”
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