This AI Search Engine Can Find Anything Said in Podcasts

Particle, the AI newsreader startup founded by former Twitter engineers, is shifting its focus toward podcast intelligence with the launch of Radar, a search engine designed to create spoken conversations inside podcasts searchable.

Key points

• While around 20, 000 episodes are went on every day, its database includes all Apple Top 200 podcasts throughout 135 categories.
• While its business plan costs $399 per month for 20 seats, radar costs $29 per month per seat.
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• Radar at present transcribes more than 130, 000 podcasts.
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Radar does more than transcribe audio. It analyzes what speakers are discussing and can identify significant quotes, highlights, residents, firms, brands, products, and topics. Hedge Funds Are Already Using Radar.

Particle co-founder and CEO Sara Beykpour remarked hedge funds have become the highest-volume customers directly integrating Radar through its API.

While other paying customers include AI search platforms and data resellers, journalists and researchers can additionally apply the service. AI search API provider Exa is among Radar's partners.

Meanwhile, the technology originated inside Particle's newsreader app. It applied its API to find interesting podcast clips and place them alongside related news stories.

Particle eventually realized the technology could work as a standalone product. As AI agents became more widely applied, the business shifted its focus toward an API that gives these systems access to information contained in audio.

Beykpour remarked most AI agents and services crawl text on the web and are effectively blind to audio unless someone first transcribes it. Users Claim OpenAI Secretly Cut Codex Usage Limits by Half. More Than 130, 000 Podcasts Indexed.

Radar at present transcribes more than 130, 000 podcasts. It particle states makes it the largest transcribed podcast service in existence.

Transcripts include speaker labels and detailed metadata. Radar additionally understands which residents, firms, brands, products and topics are being discussed.

Users can track these entities and receive alerts whenever they are mentioned. Notifications can arrive immediately or as daily or weekly digests through email, Slack or webhooks.

Users can additionally apply filters, such as receiving an alert only when a particular guest discusses a specific topic or limiting searches to top podcasts. Radar Can Search Quotes, Clips and Ads.

Radar can extract relevant standalone clips with timestamps, allowing users to either listen to the original audio or read what was remarked.

Particle additionally preselects notable clips for users who do not want to listen to an entire podcast or read a full summary.

For context, the platform can track topics, mentions, listener ratings and reviews, episode and other podcast data.

Radar additionally includes a dedicated podcast advertising search engine that can find every episode where a business advertises and track those appearances over time.

Particle additionally sees potential in political bias analysis, chart ranking data, audience size estimates, sponsorship information and brand suitability tools. Claude Cowork Now Has Its Own Built-In Browser. Pricing and Future Expansion.

Radar is available through a web interface, but Particle notes its main product is the API and MCP. It allow AI agents and businesses to access the same podcast intelligence programmatically.

While its business plan costs $399 per month for 20 seats, radar costs $29 per month per seat. API pricing is customized according to customer requirements.

Particle intends to eventually expand Radar beyond podcasts to other forms of audio and video, including YouTube videos and news clips. Stay Connected with ProPakistani.

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