#interpolation
Live, measured metrics for the hashtag #interpolation from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #interpolation
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 2026-10-15 22:03 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 2026-10-15 22:03 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-15 22:03 UTCEverything below is measured over the latest 40 public posts (spanning ~28812 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (39)
Avg boosts / post: 1.5
Top of the latest posts
Look here. This is a method to make smooth and continuous non-orthogonal designspaces. In this example: 4 masters "on the outside" and 3 floating intermediates. (The shapes are from MutatorSans and only illustrate the extent of influence.)
Color Ramp Formulator is an open-source desktop application used to generate algorithmically-defined color ramps, making use of formulas. Repository: 🔗 https://codeberg.org/tonton-pixel/color-ramp-formulator #algorithmic #color #colorramp
A variable font with weight and serif axes :) (Isn’t it remarkable that when you just slap some serifs on a narrow monolinear font, it instantly gives off Officina vibes?) #VariableFont #Interpolation #Fonts #TypeDesign
What “interpolation” means
WikipediaIn the mathematical field of numerical analysis, interpolation is a type of estimation, a method of constructing (finding) new data points based on the range of a discrete set of known data points.
“Interpolation” on Wikipedia (CC BY-SA) →#interpolation across platforms
every network with a public tag surfaceFollow #interpolation 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/interpolation