#logseq
Live, measured metrics for the hashtag #logseq from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #logseq
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 · mas.to (Mastodon public tags API) · fetched 2026-09-28 16:03 UTC9 uses by 9 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-09-28 16:03 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-28 16:03 UTCEverything below is measured over the latest 40 public posts (spanning ~1474 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (32) · German (2) · Spanish (2) · Portuguese (1) · Polish (1) · Russian (1)
Avg boosts / post: 1.4
Top of the latest posts
Doing my part in discovering what libre software is free of LLM use (and what is tainted). For Logseq that would probably be the "OG" (or 1.x) branch. The 2.0 "DB" branch has reportedly 80% of code "written" by "AI". So I know which version
So I've been using #LogSeq fue a while now you write down my things. I can track stuff that i need to track, tasks, take notes and maybe write up longer texts. Open Source, based on markdown files that i version controlled and synced using
@concretedog @rpimag Using logseq? In this chaotic situation during the transition to database-only losing most of their cool features? I would not recommend anybody logseq any more if the data is somewhat important. For long term aspects:
What “logseq” means
WikipediaLogseq is a free and open-source, personal knowledge base and note-taking application which can store data locally. It supports both Markdown and org-mode syntax.
“Logseq” on Wikipedia (CC BY-SA) →#logseq across platforms
every network with a public tag surfaceFollow #logseq 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/logseq