Bookshelf for NotebookLM

Product Hunt

Add folders, search, and sync to Google NotebookLM

Google NotebookLM is powerful, but it lacks folder management. As your notebooks grow, finding the right one becomes frustrating. Bookshelf is a free Chrome extension that fixes this: 📁 Folders & Subfolders — organize notebooks in a tree structure 🖱️ Drag & Drop — rearrange notebooks intuitively 🔍 Search & Sort — filter instantly by name or date ☁️ Cloud Sync — sync across devices 🌙 Dark Mode support 🌐 6 Languages (EN/JA/ZH/KO/ES)

Visit product View on Product HuntMar 18, 2026Chrome Extensions Productivity Artificial Intelligence

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Actual performance

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Made the leaderboard

Traction signals

Makers1

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive · Missing: plus, platform, reviews

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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