#textual
Live, measured metrics for the hashtag #textual from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #textual
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 2026-10-16 09:34 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 2026-10-16 09:34 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-16 09:34 UTCEverything below is measured over the latest 40 public posts (spanning ~7748 hours).
Posting hours (UTC) — busiest: 16:00
Languages: English (37) · German (2) · Spanish (1)
Avg boosts / post: 3.3
Top of the latest posts
My wife pointed out that I tend to be REALLY LOUD when I'm on a zoom/Meet call for work. I realized she's right, so I built a tool called "Inside Voice" that beeps at me if my microphone's audio gets louder than an adjustable threshold. I'm
I made a thing: https://chrisphan.com/posts/2025-11-19_pwn_checker.html It's a #TUI app queries the #API for @troyhunt 's Pwned Passwords service. I wrote it in #python using @willmcgugan 's wonderful #Textual package. Available on @codeber
Announcing Textual Diff View! Add beautiful diffs to your terminal application. ⭐ Unified and split view ⭐ Line and character highlights ⭐ Many themes ⭐ Horizontal scrolling https://github.com/batrachianai/textual-diff-view #Python #Textual
What “textual” means
Wiktionary · WikipediaIn literary theory, textuality comprises all of the attributes that distinguish the communicative content under analysis as an object of study. It is associated with structuralism and post-structuralism.
“Textuality” on Wikipedia (CC BY-SA) →#textual across platforms
every network with a public tag surfaceFollow #textual 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/textual