#FullText
Live, measured metrics for the hashtag #FullText from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #fulltext
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 2026-09-26 17:12 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 2026-09-26 17:12 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-26 17:12 UTCEverything below is measured over the latest 40 public posts (spanning ~31855 hours).
Posting hours (UTC) — busiest: 07:00
Languages: English (32) · German (3) · Russian (1) · Polish (1) · French (1) · Ukrainian (1)
Avg boosts / post: 2.5
Top of the latest posts
update on the Mastodon extended search patch: Feditext work is now taking up all of my Fedi time, and i no longer have the bandwidth to support Mastodon 4.2.x or implement other changes people have requested, so i'm going to have to drop th
here's the final iteration of my Mastodon advanced search patch: https://github.com/VyrCossont/mastodon/pull/8 this enables full-text search for posts you haven't interacted with, as well as full-text search for accounts, and includes sever
Looks like Mastodon v4.2.0 is adding opt-in #fulltext search, but that functionality is up to individual instance owners and the account posting information to make themselves searchable. Probably a benefit for the #weather and #emergency t
What “fulltext” means
WikipediaIn text retrieval, full-text search refers to a set of techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on specific parts of documents, such as titles, abstracts, selected sections, or bibliographical references.
“Full-text search” on Wikipedia (CC BY-SA) →#fulltext across platforms
every network with a public tag surfaceFollow #fulltext 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/fulltext