AI-Focused Startup Transforms Podcasts into Search Engine
Particle, an AI news reading startup founded by former Twitter engineers, has announced Radar, which converts podcast content into a desired format.
AI news reading startup Particle has introduced Radar, a podcast search engine and API system that transcribes audio recordings and makes them available for AI agents.
The Startup's New Focus
Particle, an AI news reading startup founded by former Twitter engineers, has adopted a new strategy to index and make podcast audio recordings discoverable.
Capabilities of the Radar Search Engine
Radar can convert podcast audio recordings into text and comprehend their meaning, making key quotes and highlights accessible to users. The system currently transcribes over 130,000 podcasts, including productions from the Apple Top 200 list, and adds 20,000 new episodes daily.
Detailed Data and Integration Options
The transcriptions include rich metadata tracking speaker labels as well as people, companies, brands, products, and topics. Users can set up alerts to monitor specific entity mentions via email, Slack, or webhooks.
Pricing and Future Plans
In addition to its web interface, Radar offers an API and MCP as a foundation for programmatic integration by AI agents and businesses. The system is priced at $29 per month for individual users and $399 per month for a 20-seat enterprise plan.