#Histlx

Live, measured metrics for the hashtag #Histlx 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
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-05 09:46 UTC
0
09-29
0
09-30
0
10-01
0
10-02
0
10-03
0
10-04
0
10-05

0 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 2026-10-05 09:46 UTC

No related tags with measured usage found for #histlx.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-05 09:46 UTC

Everything below is measured over the latest 40 public posts (spanning ~6678 hours).

Posting hours (UTC) — busiest: 09:00

00:0012:0023:00

Languages: English (37) · German (3)

Avg boosts / post: 1

Top of the latest posts

  • RE: https://fedihum.org/@hiphilangsci/117190836012865720 Really enjoyed talking about the Signific Movement in the Netherlands 😇 Thanks so much for the invitation, James! #Histlx

    Martin Konvička@[email protected]♥ 0↻ 02026-08-31 15:41 UTCView post →

  • Just in: Episode 64 is here 🚨 James McElvenny (Siegen) talks to Martin Konvička (@TeapotLinguist) about the Dutch Signific Movement, which adapted the ideas of Lady Welby in the early 20th century. 🎙️ https://hiphilangsci.net/2026/09/01/p

    Hiphilangsci@[email protected]♥ 0↻ 02026-08-31 15:30 UTCView post →

  • New episode alert 🚨 In episode 63, James McElvenny (Siegen) talks to Kristine Palmieri (LMU Munich) about comparativism in Germany of the early 19th century. 🎙️ https://hiphilangsci.net/2026/08/15/podcast-episode-63/ #Histlx

    Hiphilangsci@[email protected]♥ 0↻ 12026-08-14 14:30 UTCView post →

#histlx across platforms

every network with a public tag surface

Follow #histlx 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/histlx