#epiphany
Live, measured metrics for the hashtag #epiphany from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #epiphany
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 2026-07-27 09:50 UTC3 uses by 3 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 2026-07-27 09:50 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-27 09:50 UTCEverything below is measured over the latest 40 public posts (spanning ~2102 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (36)
Avg boosts / post: 0.6
Top of the latest posts
For a long time I've been intrigued by #Epiphany taking 3 to 20 seconds to load most websites on startup or in Incognito Mode. Today I tested a bunch of configurations to report a bug, profiled… and it turned out to be 2 bugs in 1 :blobswea
It seems I have found a sneaky memory leak that occurs when you reload webpages with @WebKitGTK: https://bugs.webkit.org/show_bug.cgi?id=319590 That might explain why I kept running out of RAM way too easily when using Epiphany with a dozen
🌐🌏💛💁🏿♀️*{IN TIMES OF GREAT LOSS*& STRUGGLING!*& FEELING LOST!*READ!*& PRAY FOR A PURPOSE TO LIVE!*& CARRY ON NO MATTER WHAT YOU ARE GOING THROUGH THE FOLLOWING VERSES!}👉 (Philipians 3: 13-14)*AMEN!🤗👉 #IN #GREAT #TIMES #OF #LOSS #I
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/epiphany