#paraphrases
Live, measured metrics for the hashtag #paraphrases from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #paraphrases
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 2026-10-19 10:40 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 2026-10-19 10:40 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-19 10:40 UTCEverything below is measured over the latest 7 public posts (spanning ~24979 hours).
Posting hours (UTC)
Languages: English (7)
Avg boosts / post: 2.7
Top of the latest posts
32. A recent court ruling in #Japan also challenges my thesis in this thread. https://www.zmescience.com/science/news-science/a-man-was-given-a-suspended-jail-sentence-in-japan-for-posting-godzilla-spoilers-online/ "The court ruled that det
31. Another US federal judge has ruled (Oct 27) that AI-generated summaries might infringe the copyrights on the original works. https://storage.courtlistener.com/recap/gov.uscourts.nysd.606655/gov.uscourts.nysd.606655.716.0.pdf Again, the
What's in a name? that which we call as a method By any other name would work as correctly. (After WS.) We say "comma-separated values", but we do >>> ','.join(("foo", "bar", "baz")) 'foo,bar,baz' Wherefore art thou Joiner—or Separator... #
What “paraphrases” means
WikipediaParaphrases are traditional forms of singing within Presbyterian churches. They are biblical paraphrases: lyrical renderings of sections of the Bible that have been set to music, in a similar fashion to metrical psalms.
“Presbyterian paraphrases” on Wikipedia (CC BY-SA) →#paraphrases across platforms
every network with a public tag surfaceFollow #paraphrases 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/paraphrases