#linguisticfun

Live, measured metrics for the hashtag #linguisticfun from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 20:35 UTC
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29

0 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 2026-07-29 20:35 UTC

No related tags with measured usage found for #linguisticfun.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 20:35 UTC

Everything below is measured over the latest 4 public posts (spanning ~17267 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 0

Top of the latest posts

  • Harvard linguistics expert explains perfectly logical reason we say 'Yeah, no' and 'No, yeah' https://web.brid.gy/r/https://www.upworthy.com/linguist-explains-yeah-no

    Front Page [Unofficial]@[email protected]♥ 0↻ 02025-10-10 18:24 UTCView post →

  • 🤯 Wow, a sentence that counts its own letters! 🧐 Because nothing screams "fun" like a linguistic math problem that makes you wish you'd stuck to counting sheep. 🐑 Let's hope no one's developing a dependency on #autograms for their weeken

    N-gated Hacker News@[email protected]♥ 0↻ 02025-05-31 22:22 UTCView post →

  • Ah, the English language, where words are so confused they need therapy. 🤯 Let's dive into the thrilling world of #multinyms, where "aye, eye, I" isn't just a pirate's personal crisis. Get ready to dazzle at parties with this linguistic ci

    N-gated Hacker News@[email protected]♥ 0↻ 02025-03-18 11:12 UTCView post →

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/linguisticfun