

The web is searchable. Podcasts should be too. Today, Particle is introducing Radar, the podcast search engine. Podcasts hold some of the most thoughtful and timely conversations happening right now, but that knowledge is hard to find. Radar searches 130,000+ actively transcribed podcasts, with ~20,000 new episodes daily. Millions of hours and billions of lines, fully searchable. Radar is powered by Particle’s Podcast Intelligence API, which allows agents to search across podcasts via API/MCP.
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Radar is a podcast search engine built on the idea that the web is searchable, so podcasts should be too. Instead of indexing only an episode's title, Radar transcribes episodes and makes the spoken content itself searchable, with speaker-labeled transcripts available within minutes of airing. It covers 130,000+ actively transcribed podcasts, with roughly 20,000 new episodes added daily — millions of hours and billions of lines of conversation, fully searchable. The engine is powered by Particle's Podcast Intelligence API, which also lets agents search across podcasts via API and MCP.
Radar transcribes every episode and makes the spoken content searchable, not just the title. Transcripts are speaker-labeled and available within minutes of airing.
Each topic is measured against its own baseline, so breakout stories chart while everyday popular topics don't. This surfaces what people are talking about, and why.
Radar shows the biggest podcast ad buyers and each brand's footprint by show and placement. It answers the question of where brands advertise across the podcast landscape.
Every show and episode is indexed with hosts, guests, topics, ratings, and speaker-labeled transcripts. You can also see who went on which show this week, plus any person's guest spots, hosting, and panels over time.
Search engines index an episode's title, not what was said inside it. Radar makes the audio itself searchable.
That distinction is the core of the product: the knowledge inside podcasts — some of the most thoughtful and timely conversations happening right now — has historically been hard to find. By transcribing and speaker-labeling episodes at scale, Radar turns hours of audio into something you can query directly. The same intelligence is exposed through Particle's Podcast Intelligence API, so agents can search across podcasts programmatically.
You've ever known a great conversation happened on a podcast but couldn't locate the episode, or you want to track topics, brands, and guests across the podcast world without listening to everything yourself. Radar is worth a look if searchable, speaker-labeled podcast content fits how you research, monitor, or explore audio.
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