#recensions
Live, measured metrics for the hashtag #recensions from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #recensions
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 2026-08-02 03:54 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 2026-08-02 03:54 UTCNo related tags with measured usage found for #recensions.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-02 03:54 UTCEverything below is measured over the latest 12 public posts (spanning ~16352 hours).
Posting hours (UTC) — busiest: 12:00
Languages: French (7) · Galician (4) · German (1)
Avg boosts / post: 0.7
Top of the latest posts
"Adelina" (Sandra Lodi, Galaxia, 2025. Premio Castelao Banda deseñada 2024). Non sei ben que opinar. Lodi opta por tentar un equilibrio moi complexo entre narrativa realista e ficción louca, e non estou seguro de se o consigue ou non. O tem
"O eco dos días rotos" (Alberto Taracido, Demo Editorial, 2025). Un debuxo marabilloso e unha historia ben bonita de antifascismo aldeán nos últimos anos do franquismo. #recensións #bandadesenhada #librogalego
[⏪ 2️⃣0️⃣2️⃣5️⃣ ⏪] #Recensions / #BookReviews Nepthys Zwer | Pour un spatio-féminisme, De l'espace à la carte 🖊️ Justine Collin 🔗 https://journals.openedition.org/cybergeo/41747 Hervé Théry | Amazone. Un monde en partage 🖊️ Pascal Clerc
What “recensions” means
WikipediaRecension is the practice of editing or revising a text based on critical analysis. When referring to manuscripts, this may be a revision by another author. The term is derived from the Latin recensio.
“Recension” on Wikipedia (CC BY-SA) →#recensions across platforms
every network with a public tag surfaceFollow #recensions 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/recensions