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Matrices isn't editable (sort of by design) and works best for columns that are all of the same type. It then uses arrow for fast in-memory analytics.
Google sheets has to serve a much broader array of use cases, so I think they can only do so much to improve the performance. It can't always rely on having consistent rows and columns.
Domain was an opportune buy off Flippa. It wasn't really being used for anything and the seller wanted to get rid of it.
> What are you using for the charts? 100k points on a scatter is pretty impressive with SVG.
Visx/SVG right now. You're right that 100k points gets slow on a scatter plot, for those charts in particular some sampling occurs. At some point I'd like to investigate other options, but this works for the MVP.
Show HN: Matrices – Explore, visualize, and share large datasets
Hey HN, I'm excited to share a new side project I've been working on.The product is called Matrices. You can check it out here: https://matrices.com/.With Matrices, you can explore, visualize, and share large (100k rows) datasets–all without code. Filter data down to just what you want, visualize it with built-in charts, and share your results with one click.You can use it today (no login or...
If you're set on electrifying there, it might make more sense to investigate a ground-source heat pump which leverages the ambient underground temperature for heat exchange.
We've tried to make this a little clearer in the "receipt view", but the major difference is in terms of cost of the hardware.
Furnaces, heat pumps, and A/C units all have a 15-20 year useful lifetime.
While the annual savings will be only a bit less, the hardware cost will be _significantly_ less because you only need a one unit for a heat pump vs two for an A/C + furnace combo.
Does that make more sense? We'll try and clarify in the UI