Particle Podcast Intelligence (@particleapi) header
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Podcast intelligence for the agentic era. Query 160,000+ podcasts: actively transcribed, speaker-labeled, entity-extracted.

Joined July 2026
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Today we’re introducing Ask Ray in Radar. Some of the most useful insights from experts, founders, and analysts are said out loud on podcasts, but finding the right moments has meant hours of searching. Now you can find those insights within seconds. Ray researches across 160,000+ actively transcribed podcasts and answers with the exact moments it found, so you can press play and hear them for yourself. First 100 people to sign up with code ASKRAY get their first month free.
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Today we’re introducing Speaker Statement Characteristics. Podcasts are full of predictions, criticism, and bold calls, but a keyword search can’t tell a confident forecast from a passing remark. Now the lines Particle returns carry four labels for how they’re said: sentiment, certainty, specificity, and time. Stack them as filters to find exactly the statements you need, on any topic, across 165,000+ actively transcribed podcasts. Available now via API and MCP.
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We're proud to be the official data provider for Exa's podcast API. You can use @ExaAILabs to search across 3M+ podcast transcripts, updated daily. Check out @rileybrown's thread for some cool use cases.
this API is incredibly useful. i don't think i'm going to rely on any app to recommend podcasts anymore. i'll just have my agent search thousands of episodes, transcripts included, and recommend what i should listen to.
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Particle Podcast Intelligence retweeted
You ask. It listens. It answers. 🎧 Introducing Ask Ray, with Radar by @ParticleAPI. Ray goes to work over Particle’s corpus of over 3 million enriched podcast transcripts, to find the answers to questions that matter. Get the first month of Radar free using promo code: ASKRAY Learn more: particle.pro/ask-ray?utm_sou…
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Coming Tomorrow.
launching something tomorrow... stay tuned 👀🎧
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Particle Podcast Intelligence retweeted
launching something tomorrow... stay tuned 👀🎧
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Meta’s free cash flow turned negative last quarter, and Anthropic filed to go public on Monday. Here’s what executives and analysts said on podcasts about the AI buildout this past week. First up, Nasdaq CEO Adena Friedman, asked about Meta’s plan to issue shares with no voting rights:
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And Amazon CEO Andy Jassy on Amazon’s AI spending:
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We round up quotes like this every week in Exec Radar, a free newsletter covering what executives and analysts say on podcasts, word for word. Sign up at newsletter.particle.pro
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Particle Podcast Intelligence retweeted
Important conversations are happening on podcasts, and now your agents using Exa can hear them 🎧 @ParticleAPI is Exa's provider of podcast data and intelligence, delivering on our mission to bring spoken conversation to agents everywhere.
Exa now indexes 3,000,000+ podcasts. Your agents can now search across millions of hours of transcripts, updated daily, and track what the world is talking about.
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Today we’re introducing Episode Archive Transcription on Demand. Particle currently transcribes 160,000+ podcasts as they publish, and we add thousands of transcripts daily to our corpus of over 3.4 million transcripts. Now you can request transcriptions on demand for an additional 24 million episodes not yet in our corpus, with transcripts ready within minutes. Available now via API and MCP. platform.particle.pro
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Particle is now available as a plugin in @ChatGPT. Research companies, people, podcasts and topics across 160K+ actively transcribed podcasts, right inside your chat. To add it, open Plugins in ChatGPT, find Particle Pro, and click Install plugin.
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Podcast search finds what was said. Speaker Expertise now tells you who said it. Each speaker on Particle now carries a profile: occupation, standing in the field, seniority, whether they still practice. We have 2,800+ occupations and fields across 160,000+ podcasts. Hear what nuclear engineers say about small modular reactors. Or what practicing cardiologists say about GLP-1s. Tell your agent: “Search Particle for what practicing cardiologists say about GLP-1 drugs.”
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The yield on CoreWeave’s 2032 notes rose to about 15% last week. Here’s what executives and analysts said on podcasts about lending to AI. First up, TeraWulf CEO Paul Prager:
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And GMO’s Ben Inker on losses if the AI build-out stalls:
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