#lisn
Live, measured metrics for the hashtag #lisn from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #lisn
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 · mastodon.online (Mastodon public tags API) · fetched 2026-11-09 06:12 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-11-09 06:12 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-09 06:12 UTCEverything below is measured over the latest 5 public posts (spanning ~24488 hours).
Posting hours (UTC)
Languages: German (3) · American English (1) · English (1)
Avg boosts / post: 0.4
Top of the latest posts
Ich probiere gerade #scikit-rf mit #Python. Ich möchte Teile einer #LISN für eine #EMV Messung untersuchen. (https://github.com/bvernoux/EMC_5uH_LISN/blob/master/5uH_LISN_V1_R0_schematic.pdf) #EMC #Simulation #RF #HF #scikitrf
Und weil das jetzt in dem #Jupyter Lab und #SciKitRF so einfach ist, gibt es noch die Differenz: 0,225dB sollte kaum reale Auswirkungen haben. #emc #emv #lisn
Mit den bestellbaren Widerstandswerten komme ich auf eine ähnlich aussehende Kurve: #emc #emv #lisn
#lisn across platforms
every network with a public tag surfaceFollow #lisn 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/lisn