Radar by Particle

Podcast discovery tools mostly answer a catalog question: what shows exist, what are they about, who hosts them. Radar answers a different one — where in the audio did this person or brand actually come up. That distinction is the whole product, and it is why we would reach for it over Listen Notes or Podchaser when the task is a spoken quote rather than a show recommendation. The three search modes do genuinely different work. Entity search is the workhorse for 'find every episode where this name appears.' Keyword search keeps you honest when you know the exact phrase. Semantic search is the interesting one — it pulls related mentions when you do not know how someone phrased it, which is where transcript search beats a plain grep. In practice the Trends, Ads, and Appearances views are what separate Radar from a raw search box. If you run comms, a ranked list of entities by mention-rate movement is a faster read than building your own tracker. If you run partnerships or watch competitive sponsorships, the Ads view is the shortcut. The API matters if your team already has a dashboard and does not want to live in another web app. Where it bites: this is a research and monitoring tool, not a listening app. If you want to subscribe, stream, and get recommendations, Radar is the wrong shape entirely — it will feel like a database. Creators looking for hosting, editing, or distribution should look elsewhere too; nothing here touches production. On pricing, our last confirmed tiers were a free level and a $9/mo Pro plan from the existing profile — we could not reach the vendor's plans page this run, so treat those numbers as a prior data point and check current terms before you commit a team. Pick Radar when the question is 'who said this, and when,' and you need it