<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Playlist Lens Guides</title>
    <description>In-depth guides on learning from YouTube playlists — rankings, comparisons, and methodology.</description>
    <link>https://playlistlens.com/guides</link>
    <atom:link href="https://playlistlens.com/rss.xml" rel="self" type="application/rss+xml" />
    <language>en-us</language>
    <lastBuildDate>Thu, 04 Jun 2026 00:00:00 GMT</lastBuildDate>
    <managingEditor>noreply@playlistlens.com (Playlist Lens)</managingEditor>
    <webMaster>noreply@playlistlens.com (Playlist Lens)</webMaster>
    <image>
      <url>https://playlistlens.com/web-app-manifest-512x512.png</url>
      <title>Playlist Lens</title>
      <link>https://playlistlens.com</link>
    </image>
  <item>
    <title><![CDATA[Andrew Ng vs fast.ai vs Karpathy: Which ML Course Is Shortest?]]></title>
    <description><![CDATA[A data-backed three-way comparison of the top practical machine learning courses on YouTube. Total duration, difficulty curve, and which one gets you building fastest.]]></description>
    <link>https://playlistlens.com/guides/undefined</link>
    <guid isPermaLink="true">https://playlistlens.com/guides/undefined</guid>
    <pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate>
    <category><![CDATA[comparisons]]></category>
  </item>
  <item>
    <title><![CDATA[Best Computer Science YouTube Playlists, Ranked by Total Hours]]></title>
    <description><![CDATA[A curriculum map of the best CS playlists on YouTube — from 2-hour crash courses to full-semester MIT lectures — sorted by total duration so you can choose the depth you need.]]></description>
    <link>https://playlistlens.com/guides/undefined</link>
    <guid isPermaLink="true">https://playlistlens.com/guides/undefined</guid>
    <pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate>
    <category><![CDATA[rankings]]></category>
  </item>
  <item>
    <title><![CDATA[Every MIT OCW YouTube Playlist, Ranked by Total Hours]]></title>
    <description><![CDATA[A complete catalog of MIT OpenCourseWare YouTube playlists sorted by total duration — from 2-hour overviews to 40-hour full courses. Find the MIT course that fits your schedule.]]></description>
    <link>https://playlistlens.com/guides/undefined</link>
    <guid isPermaLink="true">https://playlistlens.com/guides/undefined</guid>
    <pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate>
    <category><![CDATA[rankings]]></category>
  </item>
  <item>
    <title><![CDATA[How to Speedrun a YouTube Course: The Data-Backed Methodology]]></title>
    <description><![CDATA[A research-backed guide to optimizing how you watch YouTube courses — optimal playback speed, chapter skipping strategy, retention research, and how to build a system that actually sticks.]]></description>
    <link>https://playlistlens.com/guides/undefined</link>
    <guid isPermaLink="true">https://playlistlens.com/guides/undefined</guid>
    <pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate>
    <category><![CDATA[methodology]]></category>
  </item>
  <item>
    <title><![CDATA[25 Longest YouTube Playlists You Can Actually Finish]]></title>
    <description><![CDATA[A ranked list of the 25 most substantial YouTube playlists that are genuinely completable — with total duration, average video length, and a realistic study estimate for each.]]></description>
    <link>https://playlistlens.com/guides/undefined</link>
    <guid isPermaLink="true">https://playlistlens.com/guides/undefined</guid>
    <pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate>
    <category><![CDATA[rankings]]></category>
  </item>
  </channel>
</rss>