#audiomodelling
Live, measured metrics for the hashtag #audiomodelling from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #audiomodelling
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 2026-07-30 07:15 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 2026-07-30 07:15 UTCNo related tags with measured usage found for #audiomodelling.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-30 07:15 UTCEverything below is measured over the latest 4 public posts (spanning ~13663 hours).
Posting hours (UTC)
Languages: English (4)
Avg boosts / post: 0.5
Top of the latest posts
@mntmn @decibyte #BitwigStudio and #VCVRack. I wish I could get #AudioModelling’s #SwamHorns working on Linux, but the licensing software makes it too hard.
@elementary I love the installation process of #ElementaryOS. Installing #Wine was also quite easy. I’m stuck trying to figure out if #AudioModelling #VST can be installed (and how to do this with #PlayOnLinux ) so that I can get virtual Fr
I have just today emailed #AudioModelling to ask if the, now more than 6 year old tutorial, on installing their #VSTi under #Wine v1.6 is still relevant. It’s a lovely document, but seems like it could be a bit out of date.
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/audiomodelling