#galtmacdermot

Live, measured metrics for the hashtag #galtmacdermot 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
10
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 10
0.3
Avg reactions / post
Mastodon · last 10
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-08 05:55 UTC
0
08-02
0
08-03
0
08-04
0
08-05
0
08-06
0
08-07
0
08-08

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 2026-08-08 05:55 UTC

No related tags with measured usage found for #galtmacdermot.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-08 05:55 UTC

Everything below is measured over the latest 10 public posts (spanning ~15449 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (10)

Avg boosts / post: 0.8

Top of the latest posts

  • "Medley: Aquarius/Let the Sunshine In" (commonly called "Aquarius/Let the Sunshine In", "The Age of Aquarius" or "Let the Sunshine In") is a #medley of two songs written for the 1967 musical #Hair by #JamesRado and #GeromeRagni (lyrics), an

    50+ Music@[email protected]♥ 1↻ 22026-01-13 06:48 UTCView post →

  • #OnThisDay in 2018, #GaltMacDermot, Canadian musician and composer (Hair), died at 89. #RIP 🪦

    50+ Music@[email protected]♥ 1↻ 12025-12-17 02:55 UTCView post →

  • "Easy to Be Hard" is a song from the 1967 #rockMusical #Hair. It was written by #GaltMacDermot, #JamesRado, and #GeromeRagni, who put the musical together in the mid-1960s. The original recording of the musical featuring the song was releas

    50+ Music@[email protected]♥ 1↻ 32025-10-23 00:11 UTCView post →

#galtmacdermot across platforms

every network with a public tag surface

Follow #galtmacdermot 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/galtmacdermot