Andy Halliday
๐ค SpeakerAppearances Over Time
Podcast Appearances
Now I want to close out with something that's really interesting, which is now
I will say that Notebook LM using the YouTube to Notebook LM thing might be able to do something akin to this if you use the video generation feature to see, but I don't think it's gonna compare to this new tool free at present called tldw.us.
Similarly, this is not focused on collecting a large data set and then understanding and interpreting and summarizing that.
This one is about taking a long YouTube that has a lot of good content in it and compressing it into a highlight reel.
And what it does is it has a technology built into it.
So you save the YouTube that you want by just pasting the URL into tldw.us.
The UI sitting here on my desk is basically just like a Google sheet, right?
Here's the entry box, paste the URL here.
And then it's gonna digest that and present a new video for you.
that is the highlight reel of that video.
And what it's doing is it's analyzing the video transcript to identify the most high signal parts of the video, and then excerpting those parts of the video and editing a new video that's highly compressed to be just the highest signal presentation from that.
So you get rid of all the stuff.
Imagine that we could take the entire video of the
wonderful Tony Robbins, Gene Graziosi presentation and testing it for the high signal pieces and getting a highlight reel of just the things that had high signal.
As we said yesterday, I think that probably the presentations by Allie and Rachel and Sabrina would probably elevate to that and it would give you that, but I don't think there's a YouTube video for that whole presentation.
So anyway, this is a very cool tool.
I haven't tried it yet myself, but I wanted to tell you about it because it hit a number of the newsletters as a tool to watch.
And tldw.us curated highlights from the YouTube source.
And one of the articles I read about it just basically said, I can't watch YouTubes anymore.
Instead, I'm watching these summaries in tldw.us.