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r/notebooklmNSFW

147.8K members. The best post we have captured here reached 2.8K upvotes, which works out to 19 per 1,000 members.

19peak upvotes per 1,000 members
147.8Kmembers
2.8Kbest post
340most comments
198posts we track

Open r/notebooklm on Reddit ↗

What actually lands here

The mix of post types among everything we have captured. Posting a link where almost nothing but images lands is wasted effort, and this is the fastest way to see it.

50% 17% 15%
Text 50% Question 17% Image 15% Video 7% Gallery 7% Link 4%

The topics it labels

Flairs are the community's own categories, and the closest thing a subreddit has to telling you what it wants.

Discussion 46 Tips & Tricks 37 Meta 3 Question 3 Bug 2 Announcement 1

What the ceiling looks like

The biggest posts we have captured here. Links go to the original on Reddit.

NotebookLM Podcast Hosts Discover They’re AI, Not Human—Spiral Into Terrifying Existential Meltdown

↑ 2.8K 💬 340 video 2024

I've built a Chrome extension to send the entire YouTube channels, playlists, search results, or videos to NotebookLM in one click 🚀

↑ 1.5K 💬 190 video 2025

Title: Stop asking NotebookLM to "summarize" your sources. Do this instead for pro-level research.

↑ 1.3K 💬 53 text 2026

A HUGE THANKS TO NOTEBOOKLM TEAM

↑ 887 💬 63 gallery 2025

NotebookLM finally supports ePub files

↑ 814 💬 34 image 2026

Notebook LM is just too insane

↑ 805 💬 220 text 2025

10 Deep Prompts I Use with NotebookLM to Get Layered, Non-Straightforward Answers from My Textbooks

↑ 788 💬 45 text 2025

NotebookLM lowkey gave me superpowers and i’m not even joking

↑ 756 💬 176 text 2026

Analyzing Poop & Fart written 1,000 times - Creating meaning from the meaningless

↑ 528 💬 103 video 2024

Using NotebookLM without an API: how I built a fully automated AI news podcast (n8n)

↑ 519 💬 115 image 2025

Communities its size

Within four times the member count either way, so the comparison is fair. Sorted by upside.

See what is climbing here before you write

ViralHunt tracks Reddit and eight other networks, records how every post grows, and puts what is taking off in front of your team in one list.

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Every figure here is what ViralHunt has captured from r/notebooklm, not everything the community has ever posted. We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong. Peak per 1,000 members is computed the same way for every community listed. See how we measure.