#wouldrecommend
Live, measured metrics for the hashtag #wouldrecommend from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #wouldrecommend
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 02:41 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 2026-07-28 02:41 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 02:41 UTCEverything below is measured over the latest 11 public posts (spanning ~54933 hours).
Posting hours (UTC)
Languages: English (9) · German (2)
Avg boosts / post: 0.2
Top of the latest posts
Really enjoyed #ProjectHailMary on the fab #RoxyCinema big screen. Visuals, sound, dialogue and ideas just kept coming plus some movie nerdery. Didnt even mind some bits of cheese. And the mix of heavy stuff with the humour was nicely done.
@FediTips I’ve been using @ivory for going on two years and it’s great! #WouldRecommend
Had two tile layers (obviously Polish) in this morning, repairing the shower. It was perfectly clear what they thought of the state of affairs, given that ~30% of words they exchanged with each other basically came down to "kurwa" and vario
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/wouldrecommend