#ludwigsenfl

Live, measured metrics for the hashtag #ludwigsenfl 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
12
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 12
0.1
Avg reactions / post
Mastodon · last 12
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-04 02:58 UTC
0
09-28
0
09-29
0
09-30
0
10-01
0
10-02
0
10-03
0
10-04

0 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 2026-10-04 02:58 UTC

No related tags with measured usage found for #ludwigsenfl.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-04 02:58 UTC

Everything below is measured over the latest 12 public posts (spanning ~17113 hours).

Posting hours (UTC) — busiest: 15:00

00:0012:0023:00

Languages: English (8) · German (4)

Avg boosts / post: 0.1

Top of the latest posts

  • Watch "Ludwig Senfl (c1486-c1543): Composer to the Court & Chapel of Emperor Maximilian I" on YouTube https://youtu.be/ASaX54jW5ME?si=e0kKHz8HVUfwn9HM #ClassicalMusic #LudwigSenfl

    Cheshire@[email protected]♥ 1↻ 02024-02-02 21:56 UTCView post →

  • Ludwig Senfl (1486-1542/3) - Marian Motets [Martin Zobeley] https://youtube.com/watch?v=caGgrK2hqrk&si=rN6ETtDqQSwjJqEV #ClassicalMusic #LudwigSenfl

    Cheshire@[email protected]♥ 0↻ 02025-05-04 15:54 UTCView post →

  • Watch "The Bavarian Court Chapel in the 16th century" on YouTube https://youtu.be/QDQkcc8QdTI?si=yOT-JyDmFShvM4Iz #ClassicalMusic #RenaissanceMusic #OrlandoDiLasso #LudwigSenfl #HeinrichIsaac

    Cheshire@[email protected]♥ 0↻ 02024-02-14 16:45 UTCView post →

#ludwigsenfl across platforms

every network with a public tag surface

Follow #ludwigsenfl 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/ludwigsenfl