#highlyrecommended

Live, measured metrics for the hashtag #highlyrecommended 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
0.1
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-03 20:16 UTC
0
09-27
0
09-28
0
09-29
0
09-30
0
10-01
0
10-02
0
10-03

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 2026-10-03 20:16 UTC

No related tags with measured usage found for #highlyrecommended.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-03 20:16 UTC

Everything below is measured over the latest 40 public posts (spanning ~22868 hours).

Posting hours (UTC) — busiest: 16:00

00:0012:0023:00

Languages: English (38) · Russian (1) · Dutch (1)

Avg boosts / post: 0.7

Top of the latest posts

  • Have just read this impressive paper on the impact of #iNaturalist on biodiversity research. It makes fascinating reading. H/t to Rod Page for sharing. https://doi.org/10.1093/biosci/biaf104 #HighlyRecommended

    Siobhan Leachman@[email protected]♥ 3↻ 22025-10-01 18:52 UTCView post →

  • @mhoye I first had kimchi at the age of 24 or so?!? And I thought to myself it's incredible! Korean food soooooo goooood! Flash forward to 10 years ago and Barb makes kimchi and it's delicious! I assume you have seen Netflix's Nation of Kim

    roland@[email protected]♥ 1↻ 12025-01-05 14:54 UTCView post →

  • Went to the #PinkFloyd #Planetarium show they created for the 50th anniversary of #TheDarkSideOfTheMoon (which coincides with the 100th anniversary of planetariums), and had a great Time 😉 It is a really immersive experience and #HighlyRec

    Alexandre Franke@[email protected]♥ 1↻ 02024-02-18 11:30 UTCView post →

#highlyrecommended across platforms

every network with a public tag surface

Follow #highlyrecommended 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/highlyrecommended