Particle, a startup founded by former Twitter engineers, has introduced Radar, a new podcast intelligence platform. Radar transcribes and understands the meaning of spoken conversations within podcasts, allowing it to extract key quotes and highlights.
The service indexes over 130,000 podcasts, including all Apple Top 200 podcasts across 135 verticals, with 20,000 new episodes added daily. This makes it the largest transcribed podcast service available.
Radar provides speaker labels and metadata, understanding entities like people, companies, and topics discussed. It can also track mentions of these entities and send alerts via email, Slack, or webhook.
The platform offers an API and MCP, enabling AI agents and businesses to access this intelligence programmatically. Particle co-founder and CEO Sara Beykpour stated that hedge funds have been the highest-volume customers integrating with the API.
Radar is priced at $29 per month per seat, with a business plan at $399 per month for 20 seats. Custom pricing is available for API users.