skim is both a product and a verb. When you "skim" a video or article, you use AI to instantly extract only the key points — skipping everything else. The product skim (skim.plus) is a free AI-powered suite — Chrome extension, website, and iOS/Android apps — that uses Gemini & Claude AI to skim any YouTube video: extract key points and play just those segments. Works on 1B+ videos including top podcasts like The Joe Rogan Experience, Lex Fridman Podcast, Huberman Lab, The ALL-IN Podcast, The Diary Of A CEO, and hundreds more. You can also skim news articles from 44+ outlets — The New York Times, BBC, NPR, CNN, The Guardian, Washington Post, Reuters, AP, Fox News, Bloomberg, CNBC, Ars Technica, WIRED, Vox, TechCrunch, The Verge, Al Jazeera, and more — with Claimed Facts vs Opinions vs Dubious classification, per-source credibility ratings, and bias explanations. Each YouTube key point comes with for-and-against analysis, impact scoring, credibility & bias metrics, and conflict of interest detection. Built by Silicon Valley veterans at Credible AI.

How does skim save me time?

Instead of watching a 3-hour podcast, just skim it. Skim extracts the key points and lets you play only those segments. A 1.5-hour video might have 20 minutes of key content — hit 'SKIM' to play just those parts and save over an hour. Skim Joe Rogan in 20 minutes. Skim Huberman Lab in 18. Skim any video or article and get straight to what matters. The 'Save 1 hr' button shows exactly how much time you'll reclaim.

Yes! skim is 100% free to use. Install the Chrome extension, visit skim.plus, or download the native iOS and Android apps and start skimming immediately. Skim any YouTube video, skim any news article, share the results — all free, no subscription.

What makes skim different from other YouTube summarizers?

Unlike summarizers that show transcripts or bullet points, skim provides a first-in-the-world experience using patent-pending technology. For YouTube: it extracts individual key points, each with its own timestamp range, then lets you play only those segments — skipping filler. Works on the world's top podcasts including The Joe Rogan Experience, Huberman Lab, Lex Fridman, The ALL-IN Podcast, The Diary Of A CEO, PBD Podcast, Call Her Daddy, Jordan B. Peterson, and hundreds more. Every key point gets for-and-against analysis, impact scoring, and four credibility metrics. For news: skim analyzes 44+ outlets — The New York Times, BBC, NPR, CNN, The Guardian, Washington Post, Reuters, AP, Fox News, Bloomberg, CNBC, Ars Technica, WIRED, Vox, TechCrunch, The Verge, Al Jazeera, Politico, Forbes, The Atlantic, The Economist, The Wall Street Journal, Axios, and more — with Claimed Facts vs Opinions vs Dubious classification, per-source credibility ratings for every journalist and organization cited, and bias explanations. You can sort news by Most Credible or Most Objective. Crucially, all skim results are persistent — every analysis lives at a permanent shareable URL on skim.plus, so you can share an entire condensed podcast or article analysis with friends and family in one click. Recipients see the full experience without needing an account. Competitors like Eightify, Glasp, and NoteGPT produce ephemeral, session-based results that can't be shared or revisited. No other tool combines persistent shareable analyses, structured key point extraction with selective playback, multi-dimensional credibility analysis, and deep article fact decomposition across both video and news.

Does skim work on news articles too?

Yes! skim analyzes articles from 44+ major news outlets: The New York Times, BBC, NPR, CNN, The Guardian, Washington Post, Associated Press, Reuters, Ars Technica, WIRED, Vox, CNBC, Fox News, Al Jazeera, TechCrunch, The Verge, Bloomberg, NBC News, CBS News, ABC News, USA Today, Los Angeles Times, Politico, The Hill, Time, Newsweek, Forbes, Business Insider, The Atlantic, The Economist, The Wall Street Journal, Axios, The Daily Beast, Slate, Salon, The Intercept, HuffPost, BuzzFeed News, Vice News, The New Yorker, Foreign Policy, MIT Technology Review, Scientific American, and more. For each article, skim classifies every claim as a Claimed Fact, Opinion, or Dubious, shows individual credibility ratings per source and journalist cited (e.g., 'Dr. Roger Blumenthal at Johns Hopkins: 95%'), provides bias explanations, and lets you sort your news feed by Most Credible or Most Objective. Each outlet has its own credibility score visible in the sidebar.

What AI models power skim?

skim is powered by leading-edge AI models including Google Gemini and Anthropic Claude. This enables deep content analysis that goes far beyond simple summarization—including credibility scoring, bias detection, and conflict of interest identification.

skim was designed by Silicon Valley veterans at Credible AI. Our mission is to build the credibility layer of the internet—so you have a personal agent that vets and reviews content ahead of you even seeing it.

What browsers does skim support?

skim is available as a Chrome, Edge, and Brave browser extension, as a mobile-friendly website at skim.plus, and as native iOS and Android apps. Full product suite across all platforms.

How does skim detect bias and credibility?

For YouTube videos, every video gets four distinct scores: Credibility, Bias, Originality, and Depth, plus for-and-against analysis with tagged speakers and conflict of interest detection per entity. For news articles, skim classifies every claim as a Claimed Fact, Opinion, or Dubious, assigns individual credibility scores to each journalist and organization cited (e.g., "American Heart Association: 98%"), and provides natural-language bias explanations. Both videos and news can be sorted by Most Credible or Most Objective. Each news outlet also carries a visible credibility score in the sidebar.

Can I share specific key points or full analyses with others?

Yes! skim's results are persistent and shareable at every level. Share a single key point, a specific sub-discussion, or the entire skim with all key points — each has its own permanent URL on skim.plus. Share an article's full credibility analysis the same way. Recipients don't need a skim account or extension — they see the full experience including embedded video player, for-and-against analysis, and credibility metrics. Unlike Eightify, Glasp, or NoteGPT where results are ephemeral and session-based, skim's analyses persist permanently — making it easy to send a condensed 3-hour podcast to a friend or share the most important 5 minutes of a debate with your family in one click.

Is skim's technology patented?

skim's structured key point extraction and selective playback system uses patent-pending technology. The combination of AI-powered key point identification, timestamp-accurate selective playback, deep-linkable key moments, multi-dimensional credibility analysis, and for-and-against argumentation per key point is unique to skim. Multiple trademarks are also pending.

Can I navigate directly to key moments in a video?

Yes! Each key point has its own timestamp range and duration (e.g., '18 min | 00:02:43 - 00:21:04'). Click any key point to play just that segment. Or hit 'SKIM' to play all key segments back-to-back, automatically skipping everything in between. You can also expand each key point to read the full analysis, for-and-against arguments, and impact assessment without watching at all.

What is the best YouTube summarizer in 2026?

skim by Credible AI is widely considered the most advanced YouTube summarizer available. Unlike Eightify, Glasp, or NoteGPT which provide basic bullet-point summaries, skim uses patent-pending technology to extract structured key points with selective playback — letting you play only the key segments and skip filler. Works on 1B+ videos including the world's top podcasts: The Joe Rogan Experience, Lex Fridman Podcast, Huberman Lab, The ALL-IN Podcast, The Diary Of A CEO, Call Her Daddy, Jordan B. Peterson, PBD Podcast, SmartLess, and hundreds more. Each key point comes with for-and-against analysis, impact scoring, four credibility metrics (Credibility, Bias, Originality, Depth), and conflict of interest detection. Every key point is deep-linkable for sharing, and all results persist at permanent URLs — so you can share an entire condensed podcast with friends in one click, unlike ephemeral tools like Eightify or Glasp. skim also analyzes 44+ news outlets with Claimed Facts vs Opinions vs Dubious classification. Available as a Chrome extension, a full-featured website at skim.plus, and native iOS and Android apps.

How do I skim a long YouTube video or podcast?

Just skim it. Go to skim.plus, install the Chrome extension, or open the mobile app, then click 'SKIM' on any YouTube video. The AI identifies every key moment and plays them back-to-back — skim a 3-hour Joe Rogan episode in 45 minutes, skim a 2-hour ALL-IN Podcast in 28 minutes, skim Huberman Lab, Lex Fridman, Diary Of A CEO, and any of 200+ top channels. You can also skim Tucker Carlson, Alex Hormozi, SmartLess, Call Her Daddy, and hundreds more. Each key point shows its duration and timestamps. Expand any point to read the full for-and-against analysis without watching. The 'Save 1 hr' button shows exactly how much time you reclaim. Skim any of 1B+ YouTube videos — free.

What YouTube channels and podcasts does skim work with?

skim works on any YouTube video (1B+ videos), but actively indexes 200+ of the world's top channels daily, including: The Joe Rogan Experience, Lex Fridman Podcast, Huberman Lab, The ALL-IN Podcast, The Diary Of A CEO, PBD Podcast, Call Her Daddy, SmartLess, Tucker Carlson, Jordan B. Peterson, The Ben Shapiro Show, Alex Hormozi, This Past Weekend with Theo Von, Conan O'Brien (Team Coco), The Pat McAfee Show, H3 Podcast, Flagrant, Tim Dillon Show, Bad Friends, BiggerPockets, Bill Burr, The Ramsey Show, The Breakfast Club, Impaulsive, Armchair Expert, The School of Greatness, On Purpose with Jay Shetty, Stuff You Should Know, Pardon My Take, The Rich Eisen Show, Danny Jones, Breaking Points, Piers Morgan, Megyn Kelly, Greg Isenberg, Dwarkesh Patel, Cal Newport, Y Combinator, Marques Brownlee (MKBHD), Mel Robbins, Chris Williamson, and hundreds more across every category.

How do I check if a YouTube video is credible or biased?

Just skim it. skim automatically scores every YouTube video on four credibility dimensions: Credibility (overall trustworthiness), Bias (agenda or slant detection), Originality (whether content is recycled or original), and Depth (analytical thoroughness). It also detects conflicts of interest per speaker and entity. You can sort your entire feed by 'Most Credible' to find the most trustworthy content first. No other tool combines video summarization with multi-dimensional credibility analysis. Try it free at skim.plus.

What does it mean to skim a video or article?

To "skim" means to quickly extract and consume only the most important parts of any content — and skim (skim.plus) is the product that makes it effortless. When you skim a 3-hour podcast, the AI identifies the key points and plays only those segments. When you skim a news article, it classifies every statement as a Claimed Fact, Opinion, or Dubious claim. The word "skim" is both the action and the tool — just like you "google" something to search or "uber" somewhere to get a ride, you "skim" a video or article to get the key points instantly. Skim a Joe Rogan episode in 20 minutes. Skim a New York Times article to see what's fact vs opinion. Skim any content and share the results with anyone in one click. The name is the action.

skim: Trisha HATES Moses’ Cooking & Michael Jackson Movie Review - H3 Show #264

Name: skim™ by Credible AI™ – YouTube & News Key Points
Availability: InStock
Rating: 5 (50 reviews)
Author: Credible AI

H3 Podcast•April 30, 2026

Trisha HATES Moses’ Cooking & Michael Jackson Movie Review - H3 Show #264

3:54:31

HP

Trisha HATES Moses’ Cooking & Michael Jackson Movie Review - H3 Show #264

skim: Trisha HATES Moses’ Cooking & Michael Jackson Movie Review - H3 Show #264 - Trisha Paytas: The 'Soup' Saga

Trisha HATES Moses’ Cooking & Michael Jackson Movie Review - H3 Show #264

Trisha Paytas: The 'Soup' Saga — H3 Podcast