#friendfeed
Live, measured metrics for the hashtag #friendfeed from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #friendfeed
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 2026-10-14 02:35 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 2026-10-14 02:35 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-14 02:35 UTCEverything below is measured over the latest 40 public posts (spanning ~30936 hours).
Posting hours (UTC) — busiest: 08:00
Languages: English (30) · Russian (2) · German (2) · Spanish (1) · Japanese (1) · Italian (1)
Avg boosts / post: 0.5
Top of the latest posts
#soulseek #slskd запущен :OrangePi: но всё равно лучше, чем #friendfeed
It's nice to combine Masto+Bluesky (plus any other feed-flavor) into a single view. #FriendFeed
I need @taoofcoffee to remind me whether being drunk on social media is spelt durnk, durkn, dunkr, or whatever the hell it was back in the old #FriendFeed days because I'm too duknr to remember.
What “friendfeed” means
WikipediaFriendFeed was a real-time feed aggregator that consolidated updates from social media and social networking websites, social bookmarking websites, blogs and microblogging updates, as well as any type of RSS/Atom feed. It was created in 2007 by Bret Taylor, Jim Norris, Paul Buchheit and Sanjeev Singh. It was possible to use this stream of information to create customized feeds to share, as well as originate new posts-discussions, with friends. Friendfeed was built on top of Tornado. The service
“FriendFeed” on Wikipedia (CC BY-SA) →#friendfeed across platforms
every network with a public tag surfaceFollow #friendfeed 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/friendfeed