#ibook
Live, measured metrics for the hashtag #ibook from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ibook
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 2026-09-28 23:54 UTC1 uses by 1 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 2026-09-28 23:54 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-28 23:54 UTCEverything below is measured over the latest 40 public posts (spanning ~10644 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (32) · German (2) · Italian (2) · Russian (1) · Hungarian (1) · Chinese (1)
Avg boosts / post: 1.9
Top of the latest posts
I saw this and thought of several of my fedi friends. Hope this brightens a moment of your day! #iBook #retrocomputing
#EVi, a non-AI code VIm 9.1.0000 fork that just works. Even on your iBook G3 running 10.4.11. https://codeberg.org/evi-editor/evi #UNIX #Apple #iBook #VintageComputing #macOS #Vi #VIm #OpenSource #FOSS #AntiAI #FuckAI #NoAI #Tech #Technolog
It’s 1999 and you got a blueberry #iBook for your birthday. 🤩
What “ibook” means
WikipediaThe iBook is a line of laptop computers designed, manufactured, and sold by Apple Computer from 1999 to 2006. The line targeted entry-level, consumer and education markets, with lower specifications and prices than the PowerBook, Apple's higher-end line of laptop computers. It was the first mass consumer product to offer Wi-Fi network connectivity, which was then branded by Apple as AirPort.
“IBook” on Wikipedia (CC BY-SA) →#ibook across platforms
every network with a public tag surfaceFollow #ibook 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/ibook