#datadecay

Live, measured metrics for the hashtag #datadecay 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 #datadecay

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 #datadecay — $51.02/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
0
Avg reactions / post
Mastodon · last 5
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-09-29 06:36 UTC
0
09-23
0
09-24
0
09-25
0
09-26
0
09-27
0
09-28
1
09-29

1 uses by 1 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 2026-09-29 06:36 UTC

No related tags with measured usage found for #datadecay.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-09-29 06:36 UTC

Everything below is measured over the latest 5 public posts (spanning ~14383 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (5)

Avg boosts / post: 1.4

Top of the latest posts

  • September 28, 2025 → September 29, 2026. One typo. 365 days. A much bigger investigation than I ever intended to conduct. Names matter. People matter. Accuracy matters. Please help me spread the word. Full report: https://archive.org/detail

    Tanja G@[email protected]♥ 0↻ 22026-09-29 03:35 UTCView post →

  • "A Critical Analysis of 'Platform-Specific Data Decay Patterns: A Comparative Study of Twitter, Reddit, and TikTok' and Its Reference to Research by Scott M. Graffius" https://scottgraffius.com/blog/files/critical-analysis-of-paper-on-data-

    Scott M. Graffius@[email protected]♥ 0↻ 02026-07-31 16:47 UTCView post →

  • A Critical Analysis of "Platform-Specific Data Decay Patterns: A Comparative Study of Twitter, Reddit, and TikTok" and Its Reference to Research by Scott M. Graffius https://scottgraffius.com/blog/files/critical-analysis-of-paper-on-data-de

    Scott M. Graffius@[email protected]♥ 0↻ 02026-07-26 01:27 UTCView post →

#datadecay across platforms

every network with a public tag surface

Follow #datadecay 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/datadecay