#makefriends
Live, measured metrics for the hashtag #makefriends from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #makefriends
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 2026-07-29 01:59 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 2026-07-29 01:59 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 01:59 UTCEverything below is measured over the latest 19 public posts (spanning ~30076 hours).
Posting hours (UTC) — busiest: 03:00
Languages: English (15) · Italian (2)
Avg boosts / post: 1.3
Top of the latest posts
So feel free to add me and lets be friends! #introduction #makefriends #ActuallyAutistic
#BlackPeople hate my messages on social media because I keep repeating #MLKJr that #Hate is bad. People LOVE hate of Donald Trump. The way to #MakeFriends is to HATE UPON MAGA and Hate Trump Family. I can't stand for the ignorance that USA
Yick Cheong (Monster) Building (益昌大廈) has something magnetic. You may pass by 100 times and yet every time you would make photos of it and want to share them. So these are not original, but there are my view over this "architectural ufo". .
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/makefriends