#halftoneart
Live, measured metrics for the hashtag #halftoneart from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #halftoneart
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 2026-07-28 15:24 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 15:24 UTCNo related tags with measured usage found for #halftoneart.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 15:24 UTCEverything below is measured over the latest 5 public posts (spanning ~6407 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 3.8
Top of the latest posts
What shall we find in the Epstein files? What shall we find in the Epstein files? What shall we find in the Epstein files early in the morning? Model: @noira_musti #trumpmemes #epsteinmemes #jeffreyepstein #epsteinfiles #halftoneart #raster
Testing the Gosper curve in my variable iteration halftoning setup. So far I've only used the Hilbert curve this way, and things get a bit coarser with the Gosper, so it was harder to find images that make nice results. So here we are with
The previous demo made me dig deeper into dithering algorithms. It's something I should have done years ago, as I've been using simple random dithering now and then, and I hadn't even thought of gamma correction. One algorithm in particular
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/halftoneart