#polynomialfunctors
Live, measured metrics for the hashtag #polynomialfunctors from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #polynomialfunctors
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Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-30 03:43 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-09-30 03:43 UTCNo related tags with measured usage found for #polynomialfunctors.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-30 03:43 UTCEverything below is measured over the latest 8 public posts (spanning ~6524 hours).
Posting hours (UTC)
Languages: English (8)
Avg boosts / post: 0.4
Used together with
Top of the latest posts
been trying to make Spivak-style diagrams out of the products of #polynomialfunctors but running into some trouble, e.g., ((𝙿 × 𝚀) ⊗ 𝚁)) ~> (𝙿 × (𝚀 ⊗ 𝚁))) might be something like the following, but crucially the so-called "strengths"
last time, we made a natural transformation between some monomial #polynomialfunctors and got a lens that exactly specified a Moore machine this time, we follow along to Niu and Spivak and combine multiple machines into a single interaction
more notes on learning #polynomialfunctors in Scala https://julianpeeters.com/blog/poly001.html
#polynomialfunctors across platforms
every network with a public tag surfaceFollow #polynomialfunctors 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/polynomialfunctors