I am building a technical modern spreadsheet for data analysis. Quadratic is an open-access spreadsheet with built-in Python and SQL!
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davidkircos
We will always be free for individual use, and our Teams pricing will initially be between $10-20 /user/month.
Quadratic's source code is openly available on Github, we will amend our language to "open access" going forward. We are far more open than any other spreadsheet, and pride ourselves on that!
Plane.dev looks awesome. We will check it out!
Thank you! Yes, Quadratic was built out of frustration from existing spreadsheets.
If a spreadsheet was built today... it would support modern programming languages, be fast, multiplayer from day 1, have a great API, speak with databases natively,
This is what we are building!
The use case is doing analysis work as a team, with some engineers and some people only familiar with spreadsheets all being able to work together.
Quadratic is always free for individuals, and we will be paid for Teams, which will be shared folders that we are launching in a couple of weeks.
The `quadratic-multiplayer` service is designed to be scaled vertically. Once we hit that limit, we will need to come up with a way to route traffic to servers based on what file a user is accessing and what server is hosting that room.
Every other service can be scaled horizontally today. However, the Rust services are very efficient at processing traffic, and a single node can handle significant usage.
Multiplayer is more fun :)
Quadratic speaks Python natively and is built on an infinite canvas!
Hi, I am David Kircos. The Founder of Quadratic (https://QuadraticHQ.com), an open-source spreadsheet application for engineers that supports Python, SQL (coming soon), and classic Formulas. Unlike other spreadsheets, Quadratic has an infinite canvas (like Figma). As a result, you can pinch and zoom to navigate large data sets, and everything renders smoothly at 60fps.
Today, we launched real-time Multiplayer on Product Hunt!
Quadratic is built using WebGL and Rust WASM. We built our multiplayer service from scratch in Rust to handle large amounts of data smoothly. For smooth rendering of a large grid of data, cells and text are rendered using low-level WebGL for performance. If you are interested in the technical details, check us out on GitHub (https://github.com/quadratichq/quadratic/)
What do you think? Can we make a spreadsheet that developers actually enjoy using?
Hi, I am David Kircos. The Founder of Quadratic (https://QuadraticHQ.com), an open-source spreadsheet application for engineers that supports Python, SQL (coming soon), and classic Formulas.
Unlike other spreadsheets, Quadratic has an infinite canvas (like Figma). As a result, you can pinch and zoom to navigate large data sets, and everything renders smoothly at 60fps.
Today, we launched real-time Multiplayer on Product Hunt!
Quadratic is built using WebGL and Rust WASM. We built our multiplayer service from scratch in Rust to handle large amounts of data smoothly. For smooth rendering of a large grid of data, cells and text are rendered using low-level WebGL for performance. If you are interested in the technical details, check us out on GitHub (https://github.com/quadratichq/quadratic/)
What do you think? Can we make a spreadsheet that developers actually enjoy using?
The plan is to switch to R1C1 under the hood.
We settled on nAn1 for our Formula notation in the negative space.
Do you love it hate it, would love to hear feedback!
I like this idea.
Good point - we will move things around on the marketing site.
Google Sheets does not have pinch to zoom. Maybe Excel does on some platforms, it doesn't on 365. The only other spreadsheet I know with decent pinch to zoom support is Numbers on mac.
1000% create an issue on the repo https://github.com/quadratichq/quadratic/issues
Yes it can. It can also run as a standalone app via Electron. We just haven't published builds yet.
Yes the bundle is huge, we have made no effort yet to optimize it. Feel free to create a PR :)
Here is how we manage cell dependencies https://github.com/quadratichq/quadratic/blob/main/src/grid/...
Yup, working on duckdb-wasm support. Stay tuned!
We are working towards having your code stored in a way where you can manage it with git.
Access controls will allow you to set who can edit and who can view. We also want to have a mode where you can edit, but only in your own fork.
Yeah, it's a valid point.
Our goal isn't to replace production ETL pipelines etc. We are building a place where you can quickly do an ad hoc analysis, share it with your whole team, and iterate on it.
If it's small and works great you're all set. If your work out grows Quadratic just take the Python and SQL code from Quadratic, modify it slightly, and deploy it on more robust infra.
Right now there is only one sheet.
We are working on support for multiple sheets (both infinite or finite) and support for Python files to enable reusability of code across the sheets.
We do many of our company operations dashboards in Quadratic.
Directly using SQL would make this even easier.
We are also working on support for popular Python charting libraries like MatPlotLib and Plotly!
We plan on charging organizations using Quadratic for collaboration. Our pricing will be low so it's affordable to get seats for the whole team. Think <$15 / user / month.
With the first iteration of AI in Quadratic, the UI/UX is a chatbot that knows the context of your document, your code, the output, and our documentation.
This context makes it easy to use GPT to write, edit, and debug your code to get the desired result faster.
We are working on inline code completions and experimenting with whole document generation.
Imagine a spreadsheet that generates all you need for your analysis, with each step being verifiable in code, SQL, and formulas. Then being able to share it with your team with a link.