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Comment by sixhobbits | Hacker News Reader

Looks like it solves a common problem but the page is a bit confusing. It could make it clearer upfront what it does (I didn't know what reactive meant in this context) and how it relates to Jupyter (I thought it was official/core stuff at first, but I take it its a third party tool that integrates into jupyter).

Stuff like "Trust me? Good." in the introduction doesn't really help me answer "wtf does this do" more quickly and the first intro sentence is pretty long and convoluted.

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Agreed on the confusing page. I use notebooks every single day but a quick glance at the README gave me zero indication of this being something I need

On the other hand, the link description alone was enough to convince me that this is something I want.

Having a very specific target makes it easier to reach that target in writing, I guess, and harder for people outside the target to understand what it's about.

Well that was my point. I am part of the target audience and I would find this useful but it took me a while to realise that.

Of course, maybe I am just incompetent or missing knowledge that everyone else in the target has.

Well, other than Observable, reactive notebooks are not that common and well known (precisely because Jupyter, which is the most famous, didn't support that model before).

So maybe today is the first day that you are exposed to that model and you learn about it? There's always a first time.

Indeed. Some concepts are overused and I still don't know what they exactly are.

Anyway, it seems to solve few UX problems when working with Jupyter Notebooks.

Reactive notebooks are what change the workflow from command line-like to spreadsheet-like.

It may not matter much of you use the notebook as a glorified terminal, but it is a godsend if your workflow involves data analysis with heavy dependencies between filtered subsets.

TY for the feedback; updated the readme to try to get the value proposition across more quickly.

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