#lojban
Live, measured metrics for the hashtag #lojban from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #lojban
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 2026-07-27 02:57 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 2026-07-27 02:57 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 02:57 UTCEverything below is measured over the latest 40 public posts (spanning ~14596 hours).
Posting hours (UTC) — busiest: 22:00
Languages: English (34) · Russian (2) · Toki Pona (1) · French (1) · Esperanto (1)
Avg boosts / post: 0.6
Top of the latest posts
2. Lack of consistency in the gismu places. I've been classifying the gismu places by semantics and they are basically all over the place. One example is in the screenshot. Just, why!? This might seem contrived or fixable but, there are mor
@cwebber I feel like this is at least tangentially relevant: https://github.com/lojban/mlismu/blob/master/READ.ME.txt not sure if you can get a working jbofihe which the script can use to make its output more concise (eliding unnecessary do
i would like to (re)learn #lojban. does anyone know what the best tools are these days for learning it
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/lojban