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Launch HN: Neptyne (YC W23) – A programmable spreadsheet that runs Python

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31–40 of 221 posts

Re: Launch HN: Neptyne (YC W23) – A programmable spreadsheet that runs Python

#31

Just some feedback: the landing page dimensions are all out of order. There's a horizontal scrollbar under the "sneak peak" section. Never a good thing. The spacing between the heading and the hero image is far too wide.

Thanks, appreciate the feedback! You make good points. We'll have a look at how we can improve the landing page.

Re: Launch HN: Neptyne (YC W23) – A programmable spreadsheet that runs Python

#33

The concept of Python-based spreadsheets was explored by Resolver One[1], a defunct proprietary desktop app that was discontinued ~10 years ago[2]. It seems a web version of the app has been published in open-source[3] but that too has been EOL. [1] https://web.archive.org/web/20120211201410/http://www.resolv... [2] https://www.resolversystems.com [3] https://github.com/pythonanywhere/dirigible-spreadsheet

I remember this from the book IronPython in Action. The book teaches IronPython (Python for .Net) by having you build a spreadsheet application. The author worked on Resolver One.

Re: Launch HN: Neptyne (YC W23) – A programmable spreadsheet that runs Python

#35

can it handle a million rows? 10M? believe it or not this is my biggest problem with Sheets, and while Excel does better it's still capped at 1M

Once you hit a million rows wouldn't it be easier to just make it a proper database? Maybe there are some use cases where this is not true, but I can't imagine what they are.

Re: Launch HN: Neptyne (YC W23) – A programmable spreadsheet that runs Python

#36

can it handle a million rows? 10M? believe it or not this is my biggest problem with Sheets, and while Excel does better it's still capped at 1M

Since manually scrolling through 10M rows is not likely... at that point isn't it better to just use an SQL DB rather than a spreadsheet?

SQlite could be enough, and it's comparable to a spreadsheet in that it is well suited to a single-file single-user local-DB scenario, yet can still handle large quantities of data.

Re: Launch HN: Neptyne (YC W23) – A programmable spreadsheet that runs Python

#38
post #25
post #2

I had three minutes, clicked tutorial and got a modal asking me to sign up. Left the page.

With pay-per-use services propping up around AI, I'm sensing that asking users to sign up before trial will become inevitable. 1. Is this a HN only phenomenon or is there a significant drop-off in general because of the signup requirement? 2. If the drop-off is general, how are you planning to handle AI pay-per-use credit tracking without signup?

I think they are referring to the fact you can’t even try it without signing up. I don’t think people mind signing up and paying if they feel they will use it.

So much stuff is released every day, I don’t want to be bothered creating an account and giving my info to everything on the internet. Give me a good demo and if I’m interested I’ll sign up.

Re: Launch HN: Neptyne (YC W23) – A programmable spreadsheet that runs Python

#39

I may be wrong, but most people that know python have already understood there's better ways to code than spreadsheets. Also, at least where I live, not even Google could undermine Excel's dominance. PS: I'm convinced I was indeed wrong after reading replies, because I didn't consider the interaction of coders with no coders, and this tool may indeed be useful. Nevertheless I maintain these cultural changes are very…

I think there's a real use case here if you can convince the people who write python and the people who write excel spreadsheets to work in the same environment. Like other people have mentioned though, it's easier to add python to excel then it is to change everyone's workflow to some totally different thing.

Re: Launch HN: Neptyne (YC W23) – A programmable spreadsheet that runs Python

#40
LibreOffice Calc combined with python's pandas and numpy modules meet all needs I have for spreadsheets, with matplotlib and seaborn for visualization. The Ipython shell is the optimal IDE for this approach IMO. My desktop reference is:

"Python for Data Analysis 2nd ed" (Wes McKinney, 2018)

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