#literaryanalysis
Live, measured metrics for the hashtag #literaryanalysis from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #literaryanalysis
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 2026-10-31 05:46 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 2026-10-31 05:46 UTCNo related tags with measured usage found for #literaryanalysis.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-31 05:46 UTCEverything below is measured over the latest 40 public posts (spanning ~28257 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (37) · Italian (1)
Avg boosts / post: 1
Top of the latest posts
I watched Guillermo del Toro’s Frankenstein, and what comes to mind is: misquoted. As well-made as the film is, I’m left with a strong sense of disappointment. Ho visto il Frankenstein di Guillermo del Toro, e la parola che mi viene in ment
🎩🔍 Ah, yes, the *real* terror of Poe's work lies not in the macabre or the madness, but in the confessions—because nothing screams "horror" like a tortured soul spilling its guts. 😱📚 But don't worry, the Yale Review is here to decode th
Judge a book by its first pages https://uncovered.ink Comments: https://news.ycombinator.com/item?id=48962893 #HackerNews #judgeabookbyitsfirstpages #bookrecommendations #readingcommunity #literaryanalysis #uncoveredink
#literaryanalysis across platforms
every network with a public tag surfaceFollow #literaryanalysis 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/literaryanalysis