#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 · fosstodon.org (Mastodon public tags API) · fetched 2026-10-08 22:43 UTC0 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 2026-10-08 22:43 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-08 22:43 UTCEverything below is measured over the latest 40 public posts (spanning ~20755 hours).
Posting hours (UTC) — busiest: 18:00
Languages: English (31) · German (3) · Dutch (2) · Finnish (1)
Avg boosts / post: 0.6
Top of the latest posts
There is another Lizard on the radar! Looming Lizard is an actor creating hundreds of lookalike domains impersonating popular banks and telecommunication companies targeting Spanish speaking countries, such as Mexico. Not only they are look
undercovermodel quite #uncovered by fur, be like a #birthmark or tattoo https://www.pinterest.com/pin/83527768083497645/ #cat #cats #animal #animals #fur #whiskers #WhiskersWednesday #caturday #meme #compare #lookalike #coincidence
According to my waiter this evening, I look something like #AphexTwin. So add that to the list of people I (somewhat implausibly) look like. #Lookalike #doppelganger
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