#речь_в_текст

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

hashtag.org network · sponsored

Own #речь_в_текст

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.

$5.00/ year · 12-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-23 12:35 UTC
0
08-17
0
08-18
0
08-19
0
08-20
0
08-21
0
08-22
0
08-23

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 2026-08-23 12:35 UTC

No related tags with measured usage found for #речь_в_текст.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-23 12:35 UTC

Everything below is measured over the latest 2 public posts (spanning ~8592 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Russian (2)

Avg boosts / post: 0

Top of the latest posts

  • Почему WER недостаточно: Семантическая декомпозиция ошибок ASR В продуктах, построенных поверх моделей распознавания речи (Automatic Speech Recognition models, ASR), качество распознавания речи напрямую влияет на пользовательский опыт. О то

    Habr@[email protected]♥ 0↻ 02026-06-03 10:32 UTCView post →

  • Транскрипция речи. Офлайн и без ограничений Привет, Хабр! Меня зовут Алексей Рудак, я основатель компании Lingvanex. Более 8 лет мы делаем перевод и распознавание речи удобными, быстрыми и безопасными. Сегодня расскажу, как мы прокачали наш

    Habr@[email protected]♥ 0↻ 02025-06-10 11:02 UTCView post →

#речь_в_текст across platforms

every network with a public tag surface

Follow #речь_в_текст 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/речь_в_текст