<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>jakear</author><text>I made something sorta like that specific to recipe videos. Basically converts recipe into an idiomatic format (inlines ingredients, detects and renders timers) and links each step in the recipe to its timestamp in the video for easy indexing while you&amp;#x27;re busy in the kitchen. (I spent too much time trying to scrub to that one spot where &amp;quot;how it&amp;#x27;s supposed to look&amp;quot; is shown while busy making it look that way)&lt;p&gt;See example: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;rexipie.com&amp;#x2F;watch?v=JiJXdoTjw8M&quot; rel=&quot;nofollow noreferrer&quot;&gt;https:&amp;#x2F;&amp;#x2F;rexipie.com&amp;#x2F;watch?v=JiJXdoTjw8M&lt;/a&gt;&lt;p&gt;Just s&amp;#x2F;youtube&amp;#x2F;rexipie&amp;#x2F; in any recipe video URL.&lt;p&gt;(full disclosure the step&amp;#x2F;transcript linking is paid-only as it requires a GPT-4 call, everything else is available to demo on free tier)</text><parent_chain><item><author>nicd</author><text>It would be really neat if after pulling the captions, an LLM was used to reword the content into an idiomatic &amp;quot;blogpost&amp;quot; (since speech is typically different than writing). Using LLMs, we could even choose the level of summarization and the output tone!&lt;p&gt;As someone who strongly prefers reading to watching instructional videos, I&amp;#x27;d pay for this service :)</text></item></parent_chain></comment><story><title>Youtube2Webpage: Create Websites with Text from Videos</title><url>https://github.com/obra/Youtube2Webpage</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>column</author><text>You can absolutely already do what you describe with GPT-4 plugins (Plus membership required). Using VoxScript and Video Insight :&lt;p&gt;&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;chat.openai.com&amp;#x2F;share&amp;#x2F;229e3ac8-3924-48e4-abd5-35bcb241ee99&quot; rel=&quot;nofollow noreferrer&quot;&gt;https:&amp;#x2F;&amp;#x2F;chat.openai.com&amp;#x2F;share&amp;#x2F;229e3ac8-3924-48e4-abd5-35bcb2...&lt;/a&gt;</text><parent_chain><item><author>nicd</author><text>It would be really neat if after pulling the captions, an LLM was used to reword the content into an idiomatic &amp;quot;blogpost&amp;quot; (since speech is typically different than writing). Using LLMs, we could even choose the level of summarization and the output tone!&lt;p&gt;As someone who strongly prefers reading to watching instructional videos, I&amp;#x27;d pay for this service :)</text></item></parent_chain></comment><story><title>Youtube2Webpage: Create Websites with Text from Videos</title><url>https://github.com/obra/Youtube2Webpage</url></story>