Data: Twitch API (Get Streams), the top 1,000 live channels by viewers, refreshed every minute. This snapshot is from Oct 17, 20:55 UTC: about 2.29M people watching those 1,000 channels.

Tools: Node.js and node-canvas, with a small isometric renderer I wrote. Tower height is (viewers / viewers of #1)^0.45. With a linear scale everything below the top 5 was flat; with a log scale 177k and 100k looked almost the same. Each category is a neighbourhood, sized by its number of channels, and the biggest towers stand at the front corner of their block.

It runs live: the interactive version is at https://miltorres.com/?ref=lemmy-dib (hover a tower to see who it is, click to open the stream), and the same renderer streams 24/7 on Twitch. Nothing is kept for more than 24 hours.

What would make it easier to read? I’m not sure the category neighbourhoods work for people who don’t know Twitch.

Using the left chart: battery-electric is about 14M of the 21M, so BEV-only is roughly 1 in 6 new cars worldwide (~17%), not 1 in 4. The BEV curve on its own is still steep though, from about 2M in 2020 to 14M in 2025.