#nmf
Live, measured metrics for the hashtag #nmf from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #nmf
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 00:03 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 00:03 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 00:03 UTCEverything below is measured over the latest 14 public posts (spanning ~28427 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (14)
Avg boosts / post: 0.7
Top of the latest posts
I just posted part 1 of a 3-part series on unmixing of data sets using non-negative matrix factorization. https://dblog.vitumbre.tech/dart/unmixing-using-non-negative-matrix-factorization-nmf-part-1-introduction-and-implementation/ Part 1 c
RE: https://floss.social/@rdnielsen/116363795536617194 Part 2 of this series on unmixing is now available: https://dblog.vitumbre.tech/dart/unmixing-using-nmf-part-2-evaluating-the-number-of-end-members/ Part 2 addresses the challenge of de
I added several figures (3-6 through 3-9) to Part 3 of my unmixing posts, to better illustrate the performance of consensus interpretation methods. Part 3: https://dblog.vitumbre.tech/dart/unmixing-using-nmf-part-3-assessing-accuracy-of-end
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/nmf