#audioanalysis
Live, measured metrics for the hashtag #audioanalysis from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #audioanalysis
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 · mas.to (Mastodon public tags API) · fetched 2026-10-23 12:55 UTC0 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 2026-10-23 12:55 UTCNo related tags with measured usage found for #audioanalysis.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-23 12:55 UTCEverything below is measured over the latest 14 public posts (spanning ~29422 hours).
Posting hours (UTC) — busiest: 13:00
Languages: English (13) · Dutch (1)
Avg boosts / post: 1.3
Top of the latest posts
Unshuffle by Calloga 📂 Open-source sample lib organizer: scan, classify, review, build. Table/tree/map views, undo, filters, portable. 💻 Win/Mac/Linux (Standalone) 🎁 FREE https://calloga.com/#umu/unshuffle More freeware 👉 https://linktr
AudioAuditor by Angel2mp3 🎛️ Spectral analysis, metadata editor, AI detect, batch tools, LUFS/DR, clipping detect, AcoustID, MQA/fake stereo detect 💻 Win/Linux/Mac 🎁 FREE https://audioauditor.org/ #freeplugin #opensource #audioanalysis #
🎤 tphakala/birdnet-go Analyzes realtime wildlife sounds with local AI models running 24/7 on a Raspberry Pi, displaying detections in a web UI ⭐ Stars: 1346 📅 Last Update: Jun 25, 2026 https://github.com/tphakala/birdnet-go #selfhosted #h
#audioanalysis across platforms
every network with a public tag surfaceFollow #audioanalysis 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/audioanalysis