#digitaltwins

Live, measured metrics for the hashtag #digitaltwins 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 #digitaltwins

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.

$5.00/ year · 12-character #name
Claim #digitaltwins — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-24 03:36 UTC
0
10-18
0
10-19
0
10-20
0
10-21
0
10-22
1
10-23
0
10-24

1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.social (Mastodon public search API) · fetched 2026-10-24 03:36 UTC

No related tags with measured usage found for #digitaltwins.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-24 03:36 UTC

Everything below is measured over the latest 40 public posts (spanning ~4201 hours).

Posting hours (UTC) — busiest: 05:00

00:0012:0023:00

Languages: English (36) · Spanish (2) · Romanian (1) · Dutch (1)

Avg boosts / post: 0.6

Top of the latest posts

  • #Introduction New to Mastodon. Not new to this problem. I work on provenance architecture — copy-only ledgers that stop if a record can’t be classified or verified. Identity and history have to stay with the data, or the model stops matchin

    Eric Touchette@[email protected]♥ 1↻ 32026-09-12 05:20 UTCView post →

  • Digital twins fall short of expectations. News at 11. "Digital twins are funhouse mirrors: Five systematic distortions", Peng et al. 2026 https://www.science.org/doi/10.1126/sciadv.aeh8260 #DigitalTwins #LLM

    Albert Cardona@[email protected]♥ 1↻ 02026-09-09 21:41 UTCView post →

  • If it sounds crazy, maybe it really is. Here the craziness is expecting LLMs to behave like survey respondents. "Scientists and practitioners are aggressively moving to deploy digital twins—large language model (LLM)-based models of individ

    Doug Bostrom@[email protected]♥ 1↻ 42026-09-03 00:48 UTCView post →

#digitaltwins across platforms

every network with a public tag surface

Follow #digitaltwins 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/digitaltwins