#mldonkey
Live, measured metrics for the hashtag #mldonkey from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mldonkey
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 2026-10-14 13:22 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 2026-10-14 13:22 UTCNo related tags with measured usage found for #mldonkey.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-14 13:22 UTCEverything below is measured over the latest 5 public posts (spanning ~54337 hours).
Posting hours (UTC)
Languages: Spanish (2) · German (1) · English (1) · French (1)
Avg boosts / post: 0.2
Top of the latest posts
@linuxzx80 @aperalesf justo la instalé hace unos días porque tengo el #mldonkey en el NAS. Pero mi NAS se ha quedado muy viejuno y no le han sentado bien los firmwares modernos. Y porque no tengo mldonkey para mi distro (Mageia), que he pro
#ayuda fediverso #emule alguna recomendacion de una solucion de emule #mldonkey #ed2k que vaya bien, en #docker ? estoy trasteando con https://github.com/carlonluca/docker-mldonkey pero me da problemas
🫏 der Esel. * steht für: #MLDonkey http://savannah.nongnu.org/projects/mldonkey * ist: ein freies Filesharingprogramm aus #Frankreich 🇫🇷 https://INRIA.fr, das mehrere Netzwerke kann. 🐫 * seit: 2001 * in Aktion im https://jugendhacktlab.
What “mldonkey” means
WikipediaMLDonkey is an open-source, multi-protocol, peer-to-peer file sharing application that runs as a back-end server application on many platforms. It can be controlled through a user interface provided by one of many separate front-ends, including a Web interface, telnet interface and over a dozen native client programs.
“MLDonkey” on Wikipedia (CC BY-SA) →#mldonkey across platforms
every network with a public tag surfaceFollow #mldonkey 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/mldonkey