#soundEditing

Live, measured metrics for the hashtag #soundEditing from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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Own #soundediting

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
35
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 35
0.2
Avg reactions / post
Mastodon · last 35
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-11-02 13:12 UTC
0
10-27
0
10-28
0
10-29
0
10-30
0
10-31
0
11-01
0
11-02

0 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 2026-11-02 13:12 UTC

No related tags with measured usage found for #soundediting.

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-11-02 13:12 UTC

Everything below is measured over the latest 35 public posts (spanning ~28442 hours).

Posting hours (UTC) — busiest: 22:00

00:0012:0023:00

Languages: English (34) · Swedish (1)

Avg boosts / post: 0.5

Top of the latest posts

  • New phrase: "Toped". As in: "The Izotope noise reduction is way too heavy on this character's dialogue. They've been 'toped." #audio #postproduction #filmmaking #VideoEditing #sound #soundediting #mixing

    Michael Kammes@[email protected]♥ 2↻ 12022-12-19 19:27 UTCView post →

  • I just watched a great scene transition: a character screams, and the sound cross-fades into the squeaking of a door opening in the next scene, like the audio equivalent of a match cut. Elegant and effective. I love smart, intentional scene

    Shaula Evans@[email protected]♥ 1↻ 12025-12-14 08:43 UTCView post →

  • J'ai pas le temps d'écouter mais YT m'a suggéré cette discussion entre les deux auteurs respectifs de deux importants programmes DAW : Reaper et Ardour! https://www.youtube.com/watch?v=94rP7lWnnxI Pour l'histoire: Justin Frankel (Reaper) es

    Prof Lutz@[email protected]♥ 1↻ 02025-11-15 15:37 UTCView post →

#soundediting across platforms

every network with a public tag surface

Follow #soundediting 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/soundediting