#bookrecommendations
Live, measured metrics for the hashtag #bookrecommendations from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #bookrecommendations
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 2026-09-09 05:00 UTC35 uses by 30 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 2026-09-09 05:00 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-09-09 05:00 UTCEverything below is measured over the latest 40 public posts (spanning ~167 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (38) · Italian (1)
Avg boosts / post: 2.9
Top of the latest posts
Quasit's Daily Book Recommendations: "Fifty Short Science Fiction Tales" (1963) edited by Isaac Asimov and Groff Conklin Age Range: 15 to adult Genre: Science Fiction This is an anthology of short (or technically "short-short") science fict
The Reader's Well is born, A place to read my stories for free. Visit the website https://sites.google.com/view/thereaderswell Stay up to date on new releases by subscribing to the newsletter on WhatsApp. https://chat.whatsapp.com/J354DLdZp
#readingcommunity #horrorcommunity #writingcommunity #supportindieauthors #indieauthors #horrorlit #darkfiction #creepyreads #indiehorror #booklovers #bookaddict #storytelling #writerslife #bookrecommendations #amreading #amwriting #booktok
#bookrecommendations across platforms
every network with a public tag surfaceFollow #bookrecommendations 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/bookrecommendations