#subvocalization

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
1
Recent posts
Mastodon
—
Recent pace
Mastodon · last 1
0
Avg reactions / post
Mastodon · last 1

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 19:03 UTC
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29

0 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 2026-07-29 19:03 UTC

No related tags with measured usage found for #subvocalization.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 19:03 UTC

Everything below is measured over the latest 1 public posts.

Posting hours (UTC)

00:0012:0023:00

Languages: English (1)

Avg boosts / post: 0

Top of the latest posts

  • Mikeysee (@mikeysee) 요즘 코딩의 90%를 음성으로 하고 있으며, 실제 발화는 점점 덜 신경 쓰게 되고 말하는 속도만 빨라진다고 함. 앞으로는 SF처럼 속발화(sub-vocalisation)로 컴퓨터를 제어하는 방식이 자연스러워질 수 있다고 전망. https://x.com/mikeysee/status/2067125271711686661 #voicecoding #subvocalization #computing #

    ainews@[email protected]♥ 0↻ 02026-06-17 09:50 UTCView post →

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/subvocalization