#rdiff
Live, measured metrics for the hashtag #rdiff from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #rdiff
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 2026-09-26 14:36 UTC0 uses by 0 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 2026-09-26 14:36 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-26 14:36 UTCEverything below is measured over the latest 3 public posts (spanning ~32958 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 0.3
Top of the latest posts
Moving from openmediavault (#omv) to plain #armbian with #nfs file sharing and a simple #rdiff backup cron job on my underpowered #helios4 #nas has dramatically reduced power consumption and overall stability. Highly recommended!
It's really annoying when an update to some software in the middle of an OS's supported lifetime breaks compatibility with the previous version of said software. In this case, rdiff-backup updating to version 2.2 on Fedora and RHEL/Rocky/Al
Is there some tool similar to #rsync that can efficiently update a file from any state to a new version only from static files served for example from an HTTP server? rsync daemon is not static, and #rdiff needs to know the file you're upda
What “rdiff” means
Wikipediarsync is a utility for transferring and synchronizing files between a computer and a storage drive and across networked computers by comparing the modification times and sizes of files.
“Rsync” on Wikipedia (CC BY-SA) →#rdiff across platforms
every network with a public tag surfaceFollow #rdiff 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/rdiff