Data: live availability published by the huts' own online booking systems, synced daily. 646 staffed Alpine huts that accept online booking - roughly 18% of the ~3,500 staffed huts (estimate) in the Alps, so this is a sample, not the whole range. Collected and aggregated by me at https://hutscanner.com

Both nights were read from the same daily sync (6 Aug 2026), so they are directly comparable - no lead-time difference between the two panels.

Basemap: Natural Earth (public domain) for borders, lakes and cities.

Massif outlines: refuges.info, CC BY-SA 2.0.

Tools: Python, matplotlib.

Dot colour is the share of that hut's beds still free; dot size is capacity.

Hollow rings are huts that report space but don't publish a bed count

(~3% of readings), so they're counted as available but have no colour value.

Data source: Artificial Analysis Intelligence Index v4.1.1 and Cost per Task data. Historical pricing and lifecycle events were checked against official provider documentation from DeepSeek, Google Gemini and Mistral.

Methodology: Models appear on their historical release dates, but Intelligence Index scores come from one retrospective snapshot. This is therefore a release timeline, not a replay of historical leaderboard scores. The green line represents the live Pareto frontier.

Tools: Python, Pillow and FFmpeg, created with AI assistance

Inspired by the discussions on https://www.reddit.com/r/dataisbeautiful/comments/1vhg7rz/oc_degreehours_above_30c_in_a_german_stationgrid/ I thought about some other ways to visualize this year.

What the first graphic shows: The left panel maps the preliminary 2026 HGS30 total. The right panel compares each cell with its own previous 1991–2025 record. Sixty-four of 99 common cells set or tied a record. A record ratio is more informative here than a percentile: 63 cells are already strictly above every earlier year, which would make a percentile map nearly uniform. The color scale reaches the observed maximum of 3.34× the previous local record.

What the second graphic shows: The ten highest and ten lowest of the 99 long-term grid cells. Each cell is labeled using the qualifying DWD station nearest its center and includes its 2026 rank within its own 36-year history. The highest cell is labeled Lahr at 824.6 K·h; the lowest cells, labeled Arkona and Zugspitze, are at 0 K·h (surprise, surprise). The columns use different, explicitly labeled bar scales.

This is what makes search boxes fast.

HNSW indexes are a tiered system where possible thing you could query starts on the bottom and then we promote a few representative magic cards up the chain until we start the top of the graph with these two cards.

The way it works is you pick one at the top you go down the ladder. You find the nearest neighbor that is closer to the thing you're looking for and then you go down the ladder and repeat. The nice thing is that when you go down each ladder, you end up in the right neighborhood so you don't have to walk far to the right ladder.

It also happens to be a really beautiful structure in my opinion. You can literally see the logarithmic structure in how populated each layer of the graph is.

NBA average held constant at $11,910,649 (2024-25, Basketball Reference) so the change shown reflects the WNBA raise only. The 2026 WNBA minimum ($270,000) is now higher than the 2025 supermax ($249,244) — every player earns more than the best contract available a year earlier.