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Channel

Катя рулит | ИИ для бизнеса

@efimova_ed_blog

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

420subscribers

+0 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001627027095
TypeChannel
Username@efimova_ed_blog
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live17 August 2026
Measurements held2
Confirmed unchanged2 times, most recently 17 August 2026
On Telegramt.me/efimova_ed_blog

Growth

4209 Aug 2026, 07:16 — 420 subscribers9 Aug 2026, 16:04 — 420 subscribers9 Aug 2026, 07:169 Aug 2026, 16:04
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 419–421 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 16:04420no change
9 Aug 2026, 07:16420first reading

Engagement

9 posts held, back to 6 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 15 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
12s
Average length
12s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

24 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 54.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1354.2%
👍1145.8%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 7 of the 9 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 24reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 6 July 2026 to 15 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

15 Jul 2026, 18:46 UTC105 viewsread 9 August 2026

Можно сгенерировать код. Нельзя сгенерировать насмотренность Всё чаще слышу формулировку: не разработчик, а «человек-оркестратор» — тот, кто ставит задачи ИИ и проверяет результат. Звучит красиво, но если разложить, что реально входит в эту роль: ➖ архитектура и выбор стека; ➖ оценка выгоды для бизнеса, а не только «работает / не работает»; ➖ инфраструктура; ➖ автотесты, заложенные сразу, а не постфактум; ➖ нагрузо

15 Jul 2026, 17:42 UTC93 views1 reactionsread 9 August 2026
Photo

977 кредитов. 3 ролика. 0 результатов, которые можно показать клиенту Тестировала Supercomputer в Higgsfield - это агентный режим генерации видео с аватарами, доступный на Plus-подписке: не промпт → рендер, а модель сама принимает решения по ходу генерации. Сделала три ролика. Осознанно: тестировала не результат, а саму технологию. Ни один ролик не устроил по качеству - показать клиенту такое нельзя. Цифры: подпис

👍1

10 Jul 2026, 15:27 UTC124 views9 reactionsread 9 August 2026
Video

Кажется, мой цифровой двойник наконец заговорил. Я обучила голос на своих реальных голосовых сообщениях — и результат получился намного ближе ко мне, чем я ожидала. Но одного голоса мало. Параллельно я собирала говорящую версию аватара: мимику, движение, синхронизацию речи. Вот первые два результата, которые мне самой уже нравятся.(ТГ порезала чуть качество, сжала видос😔) Пока ещё есть что улучшать, но это первый

🔥6👍3

10 Jul 2026, 11:22 UTC107 views3 reactionsread 9 August 2026
Photo

Похоже, скоро блогерам не придётся ходить на фотосессии Сегодня отправила своего цифрового двойника на фотосессию в Москва-Сити. Сама при этом из дома не выходила :) На этом этапе я проверяю, насколько далеко можно менять локации, одежду и визуальный контекст — и при этом сохранять узнаваемого человека. Из этой съёмки отобрала 10–12 кадров, которые спокойно могу использовать для своего контента. Показываю часть 👇

👍3

8 Jul 2026, 14:44 UTC107 views1 reactionsread 9 August 2026
Video message

Video message, posted without a caption

🔥1

8 Jul 2026, 14:42 UTC104 views2 reactionsread 9 August 2026
Video message

Video message, posted without a caption

👍1🔥1

8 Jul 2026, 14:41 UTC98 views1 reactionsread 9 August 2026
Video message

Video message, posted without a caption

👍1

8 Jul 2026, 14:29 UTC107 viewsread 9 August 2026
Photo

Один клон — десятки образов без закупки одежды и аренды аксессуаров Ещё один эффект от консистентного клона, который не сразу очевиден: одежда, сумки, аксессуары для съёмки больше не нужно закупать или арендовать. Один и тот же клон я одела в разные образы — просто сгенерировав их, а не купив или взяв напрокат. Для реального бизнеса это не про эстетику, а про статью расходов: реквизит, стилист, время на подбор гард

6 Jul 2026, 16:38 UTC110 views7 reactionsread 9 August 2026
Photo

Похоже или нет? Первый тест моего AI-клона Собрала 50 фотографий для клона — это база, на которой строится консистентность лица. Первая проверка пройдена: сменила локацию, переодела, поменяла причёску — и на всех фото лицо осталось узнаваемым. Значит, база держится: дальше можно менять сцену, одежду, образ, не боясь, что лицо «поплывёт» на новом кадре. Это не финал, а контрольная точка на пути к видео — говорящей г

🔥5👍2

Showing the 9 most recent of 9 posts we hold for @efimova_ed_blog. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 1,021,940 of 1,480,975entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 9 August 2026 — this entry's latest reading, not the date you are reading this.

“Катя рулит | ИИ для бизнеса” (@efimova_ed_blog), 420 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/efimova_ed_blog.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.