Why podcasts never got a YouTube-grade discovery engine, and the three data pieces to build one
RichardsonDx · x · 2026-11-13
The author asks why YouTube — which started in hard mode — built the best discovery engine ever while no platform has solved podcast discovery, noting even Spotify's search falls short, so owning the audience isn't enough. He argues podcast discovery needs three data pieces that don't yet live in one place: a search engine finding the exact moment in a conversation, autocomplete surfacing real long-tail questions, and one normalized image per episode so moments can be scanned like thumbnails. The screenshot shows his product Allpod doing semantic queries like "jensen huang on bloomberg" across shows and episodes.
More from Apps
- Kaggle launches Arenas: community-voted head-to-head AI model leaderboard — amankhan · 2026-11-13
- Western University reviews $72 AI tutor after students cry foul over cost, privacy — joshgans · 2026-11-13
- Swanada: 12-language Indic + Sanskrit STT runs fully in-browser via WASM — init0 · 2026-11-13
- Box desktop agent enters free beta with live viewing and human takeover — testingcatalog · 2026-11-13
- Microsoft Copilot adds Anthropic's Claude Fable 5.2 to Cowork and Copilot Studio — luisdans · 2026-11-13
- Researcher turns Claude into a lab assistant: slides, meeting plans, and taming a messy file system — alfcnz · 2026-11-13