#docbook
Live, measured metrics for the hashtag #docbook from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #docbook
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 2026-10-22 15:39 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 2026-10-22 15:39 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-22 15:39 UTCEverything below is measured over the latest 40 public posts (spanning ~22417 hours).
Posting hours (UTC) — busiest: 12:00
Languages: English (37) · German (3)
Avg boosts / post: 1.4
Top of the latest posts
So the time has come for me to write some proper documentation for xrust... does anyone have a recommendation for #docbook or #DITA editing? Not sure which to go with yet, my #XML knowledge is from the finance world. 😅 Would like to output
Release miscellany. Other recent releases. And a second MarkupMonday post given that I’ve missed a bunch. #XML #XMLCalabash #DocBook #MarkupMonday https://so.nwalsh.com/2026/08/31-releases
@11011110 Although for a while I was also a big fan of #Docbook which of course could reduce to #LaTeX 😊 https://sourceforge.net/projects/kernelbook/
What “docbook” means
WikipediaDocBook is a semantic markup language for technical documentation. It was originally intended for writing technical documents related to computer hardware and software, but it can be used for any other sort of documentation.
“DocBook” on Wikipedia (CC BY-SA) →#docbook across platforms
every network with a public tag surfaceFollow #docbook 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/docbook