#lookalike
Live, measured metrics for the hashtag #lookalike from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #lookalike
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.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-09-28 10:10 UTC1 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 2026-09-28 10:10 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-28 10:10 UTCEverything below is measured over the latest 40 public posts (spanning ~19341 hours).
Posting hours (UTC) — busiest: 16:00
Languages: English (31) · German (3) · Dutch (2) · Finnish (1)
Avg boosts / post: 1.1
Top of the latest posts
@theplaguedoc Next time you're in London, look out for the loyal DLR dogs bringing you a third rail so your train can stay powered. #DLR #Dog #Lookalike
Did you know that young #madness singer Graham McPherson was a Boris Becker #lookalike #ska #music #dance anyway great song https://www.youtube.com/watch?v=qgxIdMKXraE&list=RDqgxIdMKXraE&start_radio=1
Quiz time: which of these domains is impersonating Apple? quizearny[.]shop, rewardquiz[.]org look like generic quiz sites. applerewards[.]net is more obvious. All of them belong to a cluster serving identical Apple impersonation content, pr
What “lookalike” means
Wiktionary · Wikipedialookalike/ˈlʊkəlaɪk/
- nounSomeone who physically resembles (looks like) someone else.
A look-alike, or double, is a person who bears a strong physical resemblance to another person, excluding cases like twins and other instances of family resemblance.
“Look-alike” on Wikipedia (CC BY-SA) →#lookalike across platforms
every network with a public tag surfaceFollow #lookalike 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.
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/lookalike