#spatlese
Live, measured metrics for the hashtag #spatlese from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #spatlese
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-08-11 19:59 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-08-11 19:59 UTCNo related tags with measured usage found for #spatlese.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-08-11 19:59 UTCEverything below is measured over the latest 7 public posts (spanning ~28944 hours).
Posting hours (UTC)
Languages: German (5) · English (2)
Avg boosts / post: 0.3
Top of the latest posts
Nun ist höchste Zeit für die #Spätlese, bevor der Nachtfrost in Kürze alles vernichtet. Der #Wein hängt dieses Jahr richtig voll. #Garten
2/2 The acidity makes this perky, easily giving this elegant wine focus and support, and cutting the hint of sugar at the end. Winner, again. $21 when I bought it. New vintages around $30-ish. 8% alc. #wine #germany #riesling #Spätlese #spa
2/2 Current vintages are in the mid-$30s, although this one has escalated if you try to backfill. #wine #riesling #germany #Spätlese
What “spatlese” means
WikipediaSpätlese is a German wine term for a wine from fully ripe grapes, the lightest of the late harvest wines. Spätlese is a riper category than Kabinett in the Prädikatswein category of the German wine classification and is the lowest level of Prädikatswein in Austria, where Kabinett is classified in another way. In both cases, Spätlese is below Auslese in terms of ripeness. The grapes are picked at least seven days after normal harvest, so they are riper and have a higher sugar content. Because of
“Spätlese” on Wikipedia (CC BY-SA) →#spatlese across platforms
every network with a public tag surfaceFollow #spatlese straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/spatlese