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PodHood
@podhoodai
PodHood turns podcast and YouTube channels into searchable AI-powered libraries. Explore transcripts, chapters, key moments, topics, and creator knowledge in on
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You don't need a camera or a video editor to put an audio podcast on video platforms. The working method: pick a moment that stands on its own — a claim, a definition, a story turn — keep it around a minute, render it as a vertical 1080×1920 video with captions burned in, and post it natively to YouTube Shorts, Instagram Reels, and TikTok with a pointer back to the full episode. PodHood automates the hard parts: indexing already identifies each episode's key moments, so every indexed episode arrives with ready-made clip candidates — trim on the transcript, pick one of 11 templates and 17 caption styles, and download the finished MP4. Clips is included on every PodHood plan for podcast (RSS) feeds, and rendering doesn't consume indexing credits.
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@lennysan Such a smart feature—turning 500+ episodes into an always-on product, strategy, and growth advisor makes the archive genuinely useful. Podcasters can build something similar from their own content with PodHood: free to try.
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@HarryStebbings Explore the full transcript, key moments, and exact timestamps on PodHood:
Harry needed 53 attempts to get Marc Benioff. It took me 23 attempts to get a like from @HarryStebbings 😄 Now I’m hoping he’ll like the 20VC experience we built on @podhoodai too. Persistence pays off!
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It took me 53 attempts to convince Marc Benioff to appear on 20VC & record his first ever podcast two years ago. The work you do in private, you are rewarded for in public. Today we sit down again with @benioff to discuss: 🤖 The future of LLMs, Agents & Labor ❌ Why Salesforce aren’t hiring software engineers in 2025 🧠 Leadership lessons from Steve Jobs My 8 🔥 lessons 👇
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Just launched: YouTube Comment Analysis in PodHood 🎉 Your next episode may already be in your comments. @davidsenra PodHood surfaces recurring questions, requests, sentiment, and timestamped reactions across your channel—each linked to the original comments.
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🚀 New: PodHood Traffic Analytics For the first time, you can see who's discovering your podcast—humans or AI agents.
Learn why podcast episodes don't show up on Google—and how podcast SEO turns each episode into a useful, discoverable watch page:
Learn how to make podcast episodes easier for ChatGPT and Claude to retrieve, verify, and cite:
SEO earns a high position in a list of links; GEO earns a citation inside an AI-generated answer. The surfaces differ — conversational queries, zero-click answers, different measurement — but the underlying requirement is nearly identical: readable text, clear structure, disambiguated entities, and stable URLs. One workflow satisfies both, and podcasts hold a rare advantage: starting from zero text means a single conversion (episode → structured page) covers SEO and GEO in one move, with no legacy to untangle. Measure SEO in Search Console; measure GEO by AI-badged referrals and the questions agents ask your catalog.
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@davidsenra @dhh @37signals Interactive Transcript — click any word and the video jumps to it. Plus MCP, so you can point your own AI at it.
@ycombinator @opencode Want to dig into how OpenCode reached 13M monthly users? We turned the full episode into a searchable, AI-citable Brief—with the transcript, chapters, key moments, and every insight linked to the exact second 👇
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@ycombinator @opencode Want to dig into how OpenCode reached 13M monthly users? We turned the full episode into a searchable, AI-citable Brief—with the transcript, chapters, key moments, and every insight linked to the exact second 👇
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Most podcast ideas disappear after an episode is published. PodHood turns every episode into a structured, searchable Brief—so listeners can find it, Google can crawl it, and AI can cite it. Introducing PodHood:
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