#sonicvisualiser
Live, measured metrics for the hashtag #sonicvisualiser from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #sonicvisualiser
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 02:39 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 02:39 UTCNo related tags with measured usage found for #sonicvisualiser.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 02:39 UTCEverything below is measured over the latest 19 public posts (spanning ~23399 hours).
Posting hours (UTC) — busiest: 23:00
Languages: English (12)
Avg boosts / post: 0.6
Top of the latest posts
"(Anasthesia) Pulling Teeth" (Metallica, Kill 'Em All, 1983) 160kbps MP3 ripped with iTunes in 2016 vs. #FLAC made with #Asunder this week Mixed channel spectrogram with #SonicVisualiser There's an awful lot being cut out of the MP3, and ma
When I switch to the melodic range spectrogram layer, you can see WHERE the ref mix is louder. The low end is much more powerful throughout. But there are also some short higher pitches (xylophone, I think?) arpeggiating throughout that are
Reference mix is on top; our mix is on bottom. These are normalized to -1 dB peak, because I am specifically evaluating the mix. (If I just wanted to compare how they sounded and which I preferred, then it would make sense to normalize to p
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/sonicvisualiser