#waitresses
Live, measured metrics for the hashtag #waitresses from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #waitresses
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 · mastodon.online (Mastodon public tags API) · fetched 2026-10-08 21:48 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-10-08 21:48 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-08 21:48 UTCEverything below is measured over the latest 14 public posts (spanning ~30617 hours).
Posting hours (UTC) — busiest: 01:00
Languages: English (14)
Avg boosts / post: 0.4
Top of the latest posts
Each day, I try to share three things I like/enjoy/am grateful for as my contribution to a positive space. (H/T @IanThistlethwaite) Here’s today’s list: 1) Homemade cinnamon rolls from a friend 2) “Christmas Wrapping” - The Waitresses 3) Ca
I Know What Boys Like #Waitresses https://youtu.be/bsneH0mOq-0
#animeart #waitresses
What “waitresses” means
Wiktionary · Wikipediawaitresses
- nounA female attendant who serves customers in a restaurant, café, or similar.
Waiting staff (BrE), waiters / waitresses, or servers (AmE) are those who work at a restaurant, a diner, or a bar and sometimes in private homes, attending to customers by supplying them with food and drink as requested. Waiting staff follow rules and guidelines determined by the manager. Waiting staff carry out many different tasks, such as taking orders, food-running, polishing dishes and silverware, helping bus tables, entertaining patrons, restocking working stations with needed supplies, an
“Waiting staff” on Wikipedia (CC BY-SA) →#waitresses across platforms
every network with a public tag surfaceFollow #waitresses 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/waitresses