#textencodinginitiative
Live, measured metrics for the hashtag #textencodinginitiative from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #textencodinginitiative
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 · mastodon.online (Mastodon public tags API) · fetched 2026-11-06 11:42 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-11-06 11:42 UTCNo related tags with measured usage found for #textencodinginitiative.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-06 11:42 UTCEverything below is measured over the latest 5 public posts (spanning ~20571 hours).
Posting hours (UTC)
Languages: English (3) · German (2)
Avg boosts / post: 2.8
Top of the latest posts
Frisch erschienen, hier vielleicht für einige interessant: Syd Bauman and Elisa Beshero-Bondar (@epyllia): “Preserving a LISTSERV Archive in TEI: The Case of TEI-L”, jTEI 19 (2025-2026), https://doi.org/10.4000/15pss Die Mailingliste der #T
#Balisage = https://www.balisage.net/ - seems to be going strong; it’s a conference about the theory behind, and practice of, document markup, especially #XML and related technologies such as #XProc #XSLT #XQuery #Schematron #RelaxNG #XPath
That #Github map ist pretty cool! Here with focus on the #textEncodingInitiative and its cluster ("country"). https://anvaka.github.io/map-of-github/#10.94/-34.6928/10.9828 An appropriate name for the "country" is still being sought ;) Cred
#textencodinginitiative across platforms
every network with a public tag surfaceFollow #textencodinginitiative 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/textencodinginitiative