#prefaces
Live, measured metrics for the hashtag #prefaces from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #prefaces
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-08-26 17:07 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-26 17:07 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-26 17:07 UTCEverything below is measured over the latest 1 public posts.
Posting hours (UTC)
Languages: English (1)
Avg boosts / post: 0
Used together with
Top of the latest posts
🇺🇦 #NowPlaying on #KEXP's #VarietyMix Prefaces: 🎵 Balamida #Prefaces #newRelease 🆕 album https://hisstology.bandcamp.com/track/balamida https://open.spotify.com/track/1trVOubdcRHMIAzB8Mdj3F
What “prefaces” means
Wiktionary · Wikipediaprefaces
- nounThe beginning or introductory portion that comes before the main text of a document or book.
- verbTo introduce or make a comment before (the main point).
Prefaces is a book by Søren Kierkegaard published under the pseudonym Nicolaus Notabene. The meaning of the pseudonym used for Prefaces, Nicholaus Notabene, was best summed up in his work Writing Sampler, where Kierkegaard said twice for emphasis, “Please read the following preface, because it contains things of the utmost importance.” He was trying to tell his critics to read the preface to his books because they have the key to understanding them. Nota bene is Latin for "note well".
“Prefaces” on Wikipedia (CC BY-SA) →#prefaces across platforms
every network with a public tag surfaceFollow #prefaces 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/prefaces