tech
Radar makes podcasts searchable — and usable by AI agents
Particle’s new podcast intelligence platform transcribes and analyzes more than 130,000 podcasts, making their conversations searchable on the web and accessible to AI agents through an API and MCP.
TL;DR
- Particle, a startup by former Twitter engineers, has launched Radar, an AI-powered podcast search engine.
- Radar transcribes and analyzes over 130,000 podcasts, making audio content searchable and understandable for AI agents.
- Hedge funds are a primary customer base, utilizing the API for data insights not visible in text-based searches.
- The platform indexes podcasts, identifies entities (people, companies, topics), and offers customizable alerts for mentions.
- Radar can extract timestamped clips, track podcast ads, and analyze political bias, audience size, and sponsorship data.
- The service is accessible via a web interface and an API/MCP for programmatic integration by businesses and AI agents.
- Future plans include expanding support to other audio formats like YouTube videos and news clips.