Fast-Mood is a live map of how the world feels. You drop your mood, it lands on the planet, and you immediately see how your street compares to your country and to everyone else awake right now.
You pick nuances — relieved, overwhelmed, nostalgic — because that is how feelings actually come. Every nuance rolls up to one of eight families, and all trends, colours and comparisons are computed on the family, so they stay meaningful across languages and cultures.
One number, 0 to 100. It is the average valence of every mood in a zone, weighted by how positive each family is, rescaled so 50 is neutral. Because it is an average and not a count, a village and a continent produce comparable numbers — which is the whole point.
Estimated points — the AI ones and the news ones — are always tagged as such, capped so they can never dominate a cell, and each can be switched off on its own with the Sources filters on the map. The figure under those filters says how much of what you are looking at is estimated rather than reported. An estimate is a guess, and this site says so.
Headlines from each country are collected and labelled with the mood they are likely to provoke. They appear next to the map so a spike has an explanation and not just a colour, they ground the AI estimates, and they now place points of their own — see News above.
The map is rendered as real pixel art: coastlines are rasterized onto a fixed grid, and each cell's mood mix is drawn with an ordered dither, so a region torn between two feelings is literally speckled with both colours. Zooming increases the detail rather than the size of the pixels.