Radar makes podcasts searchable — and usable by AI agents
Particle, founded by former Twitter engineers, introduces Radar, a podcast search engine that transcribes and understands podcast audio, enabling users to extract key quotes and highlights.
Intelligence analysis by Qwen 2.5 (3B)

Particle's Radar podcast search engine transcribes and understands podcast audio, allowing users to extract key quotes and highlights, with potential business applications for hedge funds and AI agents.
Radar helps you find and listen to interesting parts of podcasts by turning the audio into text and showing you important quotes and mentions of people or things.
Analysis
{"subheading":"The Vision Behind Radar","content":["Particle, founded by former Twitter engineers, has pivoted its focus from news readers to a podcast search engine called Radar.","Radar transcribes and understands podcast audio, enabling users to extract key quotes and highlights, and track mentions of entities across podcasts.","The company transcribes more than 130,000 podcasts, making it the largest transcribed podcast service in existence."]}
Key points
- Particle's Radar podcast search engine transcribes and understands podcast audio
- Radar transcribes more than 130,000 podcasts, making it the largest transcribed podcast service in existence
- Radar can track mentions of entities across podcasts and send alerts
Radar could help hedge funds and AI agents find data they can't see, potentially driving new business opportunities.
If Radar doesn't attract enough customers, it might struggle to make a profit and grow.



