#JohnDiehl
Live, measured metrics for the hashtag #JohnDiehl from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #johndiehl
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-08-03 13:18 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-03 13:18 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-03 13:18 UTCEverything below is measured over the latest 9 public posts (spanning ~12213 hours).
Posting hours (UTC)
Languages: German (5) · English (4)
Avg boosts / post: 3.7
Top of the latest posts
John Carpenter – „Escape from New York“ (1981) Tatsache: Auch nach 45 Jahren und ungezählten Wiederholungen, macht mich dieser Sci-Fi-Reißer von John Carpenter noch genau so an, wie zu meinem ersten Mal, mit sechzehn. Gerade weil die Techni
John Carpenter – „Escape from New York“ (1981) Tatsache: Auch nach 44 Jahren und ungezählten Wiederholungen, macht mich dieser Sci-Fi-Reißer von John Carpenter noch genau so an, wie zu meinem ersten Mal, mit sechzehn. Gerade weil die Techni
Stephen Frears – „Hi Lo Country“ (1998) Weite Landschaften sind im Kino selten unschuldig. Sie versprechen Freiheit und erzählen doch von Besitz. Hier blickt der Brite Stephen Frears auf den amerikanischen Mythos des Westens, aber ohne ihm
#johndiehl across platforms
every network with a public tag surfaceFollow #johndiehl 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/johndiehl