Gistr is a tool I found by chance when I got curious about what type of NotebookLM alternatives are out there. I didn’t expect much because many AI study helpers tend to be one-note. But I almost instantly liked Gistr for how it combines document organization with note blocks and AI retrieval. Gistr’s most notable feature, however, is how it handles YouTube videos - I’d argue it does a better job than NotebookLM.

So I started using it for my YouTube courses in place of NotebookLM, and the learning process has been much smoother. NotebookLM can handle YouTube videos, but it’s pretty clear that it was designed for documents first. Gistr leans into videos as its main, primary input rather than an optional add-on. It gives you YouTube-specific tools that support learning from long-form videos. So learning from YouTube with Gistr feels more structured rather than a workaround.

What is Gistr?

And what can you do with it?

Gistr is marketed as an AI smart notebook, though its use cases go far beyond that. Same as NotebookLM, it uses a RAG (Retrieval-Augmented Generation) framework, which means the AI is built to retrieve information from the content you provide and synthesize it in plain, context-aware language. You can upload documents, add web links, and also YouTube videos, and prompt it for anything from short summaries to in-depth explanations.

It has a couple of features that make it different, and in some cases, more practical than NotebookLM. For starters, it’s a proper note-taking app with note blocks and a slash command that lets you input things like code, lists, and headers. Gistr actually lets you edit the prompts and responses right in the chat panel. It also has better organizational features, letting you sort your chats into threads and collections so they’re organized by theme. But where it really shines is with YouTube content…

Gistr’s YouTube tools make it a better alternative to NotebookLM for video learning

It’s built for analyzing YouTube content

While NotebookLM does a decent job at analyzing YouTube transcripts, it still treats them as documents, so you interact with them using the same tools as all your other sources. Gistr has YouTube-specific features that enhance and streamline getting through your YouTube courses. For starters, you can play, pause, and interact with the YouTube video using all the original controls right in the split-view chat panel. And I love that the AI auto-divides the video into its relevant chapters, so you can easily jump to specific sections.

But the real power lies in Gistr’s Timestamp, Highlight, and Moment tools. Timestamp is exactly what it sounds like - it adds a little marker to the YouTube video at whichever point you specify, so you can easily spot and revisit that part of the video at any time. Highlight is my favorite - you click and drag to highlight part of the transcript, and that text automatically gets added as its own note block to the chat panel. It’s a great way to extract key parts directly from a course without having to type them out yourself.

Then there are Moments. This feature is like Timestamp on steroids. You click and drag on the transcript, then select Create Moment, and Gistr will add that part of the video as a playable block in the chat panel. You can attach your own notes to this block, rename the title of the block, and interact with just that part of the video using prompts. And clicking the little play button next to it takes you to that part of the video and plays it.

Using Gistr’s YouTube features to speedrun through my YouTube courses

It was made for this

Before diving into my workflow, I recommend getting the Gistr Chromium browser extension. This will let you add web links and YouTube videos to your threads without having to leave the page. I have to say it isn’t the smoothest extension - it doesn’t let you add YouTube playlists in bulk, so you’ll have to add the videos individually. And it throws the thread chat panel right at you after you add a video, which is a tad annoying. But once my course is in a thread, everything is smooth sailing…

First, I scrub through the auto-generated chapters to jump to the sections I need. For example, I’m working with a Figma course here; given I already know the basics, I just want to jump to the parts I need help with. The Timestamp feature is a lifesaver in this case. Second, I build a sort of “skeleton” outline using the Highlights feature. This lets me get a text-based overview of what I’m about to learn.

The Moments feature is what really transforms the YouTube learning experience and where the studying really begins. I create a Moment of everything that is either new to me or that I don’t really understand yet. Then I go to town with prompts. Gistr’s AI actually gives you a list of prompt suggestions to get started with, such as summarizing the key points or providing quick context before diving into the topic further. But I recommend crafting your own prompts as well to personalize your learning experience - especially since Gistr doesn’t have a Custom Mode like NotebookLM yet. I also create my own notes alongside these prompts using Gistr’s built-in note-taking features.

Gistr makes YouTube learning easier

I’d still say NotebookLM has a stronger retrieval engine - its explanations go deeper into the source material and every notebook seems to adapt faster to the way I learn. Gistr’s outputs aren’t bad by any means; they just feel a little lighter. However, I don’t need peak-level analysis when I’m working through YouTube courses - I just want a little more speed and structure, and the ability to jump between concepts without losing my pace. Gistr gives me all the tools to do exactly that.