I'll be upfront: I'm not a daily NotebookLM user.
I'm a developer, and what I do read constantly is papers — mostly arXiv in ML. I go hunting for new ones pretty much every day, so I know the pain of wrangling sources and references firsthand.
But the actual reason I started building this is my friend in med school.
She lives inside NotebookLM to study. And she kept hitting the same walls, over and over:
At first I figured someone must have solved this already. So I looked. There are a couple of extensions out there, but most of them just do plain export — nothing actually built around doing research and studying. And it's clearly not just her: dig around and you find the same complaints everywhere from students and researchers.
So I started building one.
It's a Chrome extension that sits on top of NotebookLM:
That last one is the piece I care about most, because it came from a real person's actual problem, not a feature list.
The code was the easy part. NotebookLM has no public API, so everything works by reading the page's HTML directly. Which means the day Google redesigns something, parts of this can just break, and I'll be chasing it. Every tool in this space has the same problem — so, here we are.
Being honest, because that's the whole point of posting this:
It's still in development. I'm putting it out this early because I'd rather build in the open and get it wrong in public than polish it forever in private and never ship.
So, a genuine question for anyone who uses NotebookLM for research or studying: what's the single thing that annoys you most about it? That's literally going to be my roadmap.
I don't have much experience with NotebookLLM, but what I was not excited about was the fact that I had to bring most of my own materials... I felt like I was delivering the next LLM training data sets.... I would much prefer a private support case that could data mine and reference my project folder.. Thank you for your post, as it has inspired me to also post my new project that I have spent more time polishing than getting early feedback.... sigh...........breath.......sigh....
I like that you're solving the point where NotebookLM stops being useful rather than trying to compete with it.
The strongest features you mentioned all bridge the gap between generating knowledge and actually using it—whether that's reviewing in Anki, citing sources, or finding something across notebooks. That feels like a much clearer workflow to own than simply adding more AI capabilities.