#elizabethgaskell
Live, measured metrics for the hashtag #elizabethgaskell from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #elizabethgaskell
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 2026-08-02 11:56 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 2026-08-02 11:56 UTCNo related tags with measured usage found for #elizabethgaskell.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-02 11:56 UTCEverything below is measured over the latest 14 public posts (spanning ~30564 hours).
Posting hours (UTC) — busiest: 01:00
Languages: English (10) · German (1) · Portuguese (1) · Chinese (China) (1) · Finnish (1)
Avg boosts / post: 0.8
Top of the latest posts
I've edited an anthology of 30 Christmas ghost stories penned from 1820 to 1929. In paperback & Kindle from all Amazon marketplaces. https://www.amazon.com/Ghost.../dp/B0BHMPR3RY/ref=sr_1_1... Features: #WashingtonIrving #CharlesDickens #Ma
Zum heutigen #Fotovorschlag: Objekte die mit "C" beginnen oder so aussehen ...' 😊 Höchste Zeit, mal wieder CRANFORD von Elizabeth Gaskell zu lesen. #MrsGaskell #Cranford #ElizabethGaskell #LesenMachtFreude #lesen #Lesetipp
Fiz parte de um painel de avaliação do #WikiLovesEarth2025 e no fim recebi da #WikimediaEspana esta surpresa. Claro que usei logo a caneca com chá enquanto lia sobre a Elizabeth Gaskell na Wikipedia España 😍 https://wikimedia.es https://es
#elizabethgaskell across platforms
every network with a public tag surfaceFollow #elizabethgaskell 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/elizabethgaskell