#uberisation
Live, measured metrics for the hashtag #uberisation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #uberisation
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 2026-09-11 18:30 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 2026-09-11 18:30 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-11 18:30 UTCEverything below is measured over the latest 40 public posts (spanning ~37061 hours).
Posting hours (UTC) — busiest: 09:00
Languages: French (35) · English (4)
Avg boosts / post: 1.2
Top of the latest posts
Science fiction novelist, journalist and technology activist Cory Doctorow @pluralistic speech at the 2025 Ursula Franklin Lecture. > https://vimeo.com/1059798497 #enshitification #monopsonies #twiddling #locked_users #locked_sellers #gafam
Travailler blessé sous contrat : quand la liberté d’entreprise fabrique la faute Sorry We Missed You montre la vérité du travail indépendant de plateforme : juridiquement libre, le livreur porte véhicule, dettes, santé, retards et accidents
Mediapart En Chine, l’ubérisation du marché du travail gagne du terrain https://mcinformactions.net/spip.php?article232097&lang=fr #Chine #uberisation
What “uberisation” means
WikipediaGig workers are independent contractors, online platform workers, contract firm workers, on-demand workers, and temporary workers. Gig workers enter into formal agreements with on-demand companies to provide services to the company's clients. They are part of the gig economy.
“Gig worker” on Wikipedia (CC BY-SA) →#uberisation across platforms
every network with a public tag surfaceFollow #uberisation 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/uberisation