#Feedbacks

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

hashtag.org network · sponsored

Own #feedbacks

This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.

$51.02/ year · 9-character #name
Claim #feedbacks — $51.02/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.5
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 2026-11-10 13:31 UTC
0
11-04
0
11-05
0
11-06
0
11-07
0
11-08
0
11-09
0
11-10

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 2026-11-10 13:31 UTC
#feedbacksignals
0 uses · 0 accounts / 7d
#feedbackschleifen
0 uses · 0 accounts / 7d
#feedbackstellare
0 uses · 0 accounts / 7d
#MarketFeedbacks
0 uses · 0 accounts / 7d
#feedbackstimuli
0 uses · 0 accounts / 7d
#feedbackskills
0 uses · 0 accounts / 7d
#RadiativeFeedbacks
0 uses · 0 accounts / 7d
#feedbacksystem
0 uses · 0 accounts / 7d
#feedbacksquad
0 uses · 0 accounts / 7d
#feedbackstudio
0 uses · 0 accounts / 7d
#feedbackstrategies
0 uses · 0 accounts / 7d
#feedbacksessions
0 uses · 0 accounts / 7d

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-10 13:31 UTC

Everything below is measured over the latest 40 public posts (spanning ~33772 hours).

Posting hours (UTC) — busiest: 19:00

00:0012:0023:00

Languages: English (26) · German (11) · Portuguese (2) · French (1)

Avg boosts / post: 3.8

Top of the latest posts

  • #Feedbacks as an unifying concept in #ecology & #evolution: Linking #niche construction (population scale), alternative #biome states (community scale) & #Gaia (global scale) to understand the #resilience of our #biosphere https://www.scien

    juli g pausas@jgpausas@fediscience.org♥ 18↻ 202022-12-17 21:44 UTCView post →

  • When #fires generate #heterogeneity ...! Bejis, E Spain You can see how the #landscape modelled the fire, and how the fire modelled the landscape .. #feedbacks are the rule (https://www.sciencedirect.com/science/article/abs/pii/S01695347220

    juli g pausas@jgpausas@fediscience.org♥ 1↻ 92022-12-18 18:18 UTCView post →

  • Hi everyone. New server. I'm Ben Sanderson - #climate scientist at #CICERO in Oslo, previously at #NCAR Some hashtags: #CMIP #scenario #emulation #uncertainty #emissions #carbon #feedbacks #policy #ensembles #SCM

    Ben Sanderson@benmsanderson@fediscience.org♥ 1↻ 122022-11-08 12:20 UTCView post →

#feedbacks across platforms

every network with a public tag surface

Follow #feedbacks 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/feedbacks