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Channel

Наталья Князева | IT для экспертов

@studio_knyazeva

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

560subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002570068926
TypeChannel
Username@studio_knyazeva
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/studio_knyazeva

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 81% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

5555615587 August 2026 — 560 subscribers7 August 2026 — 561 subscribers15 August 2026 — 556 subscribers8 September 2026 — 555 subscribers16 September 2026 — 560 subscribers5607 August 202616 September 2026
5 measurements spanning 40 days. 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 554–562 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 08:39560+5
8 Sept 2026, 01:37555-1
15 Aug 2026, 17:33556-5
7 Aug 2026, 19:47561+1
7 Aug 2026, 07:48560first reading

Engagement

13 posts held, back to 1 August 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 page of 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 13 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

160 reactions across 12 posts, in 13 distinct kinds. The most used accounts for 32.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5232.5%
2515.6%
🥰1811.3%
👏148.75%
❤‍🔥138.13%
116.88%
👍95.63%
🤣74.38%
💯42.50%
👌31.88%
🏆21.25%
😁10.625%
🤝10.625%

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 12 of the 13 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 160 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 1 August 2026 to 6 August 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

6 Aug 2026, 15:14 UTC28 views12 reactionsread 7 August 2026
Photo

Один человек отписался от канала))) еще три - спросили в личку - что со студией? Конечно, студия продолжает и продолжит работу. У нас на постоянном партнерстве - а это значит, что мы сопровождаем под ключ и решаем все технические вопросы у клубов: ЭКСПЕРТ НА ВИДУ, основатель Гелла Безменова КЛУБ ЗВЕЗД, основатель Александра Визгерт ЦЕНТР ВНИМАНИЯ, основатель Мария Ложкова ОСНОВА, основатель Елена Шехетова и это то

🔥52❤‍🔥21🏆1👏1

6 Aug 2026, 12:56 UTC62 views19 reactionsread 7 August 2026
Photo

Торжественно объявляю! Мы с Геллой Безменовой запускаем онлайн-школу цифровых навыков для подростков КУЗНЯ Идея возникла у меня после очередной просьбы научить чьего то ребенка работать с нейросетями, я поделилось с Геллой и понеслась! Суть - в том, чтобы показать подростку возможности нейросетей и заработка с ними, переводим из листающего ленту подростка в создающего эту ленту. Будем учить безопасности в интернете,

8🔥6🥰2🏆1👌1👏1

5 Aug 2026, 12:19 UTC38 views15 reactionsread 7 August 2026

Все что надо знать о моих мастерклассах: рассказываю тему, попутно даю 100500 полезностей))) Например, сегодня девочки ушли со знанием, как купить Зум за 180 рублей😂 Практически "отбили" стоимость мастеркласса😏

🔥73👌1👍1👏1💯1🥰1

5 Aug 2026, 11:54 UTC35 views4 reactionsread 7 August 2026
Video message

Video message, posted without a caption

💯2🔥1😁1

5 Aug 2026, 11:33 UTC38 views16 reactionsread 7 August 2026
Video

Сегодня провела воркшоп «Нейросети для экспертов. Уровень начинающие». Нас было 10 человек, и два часа в тесном кругу, в режиме реального времени мы работали с ИИ на конкретных задачах. Разобрали, как с помощью нейросетей собирать презентации, делать карусели для Instagram и писать посты. Использовали то, что можно применять в работе уже сейчас. За два часа нейросеть, конечно, не становится волшебной палочкой. Зато

🔥4👍322👏2🥰2👌1

4 Aug 2026, 05:43 UTC39 views8 reactionsread 7 August 2026
Photo

Экспертная подборка: как стать сильнее в своем деле Мы, эксперты из разных сфер, объединились, чтобы собрать полезные рекомендации в одном месте. Возможно, именно среди них вы найдете идею, которая поможет вам сделать следующий шаг в развитии. 🐝🐝🐝🐝🐝🐝🐝🐝🐝🐝 Юлия Кравченко Специалист по психосоматике и работе с подсознанием. Более 6 лет я помогаю женщинам выявлять системные взаимосвязи между телом, психикой и внешними об

🔥421❤‍🔥1

3 Aug 2026, 09:14 UTC42 views14 reactionsread 7 August 2026

Posted without readable text

5❤‍🔥5🔥4

3 Aug 2026, 07:19 UTC45 views4 reactionsread 7 August 2026
Photo

Что будет на мастерклассе по нейросетям для экспертов: 🟣покажу как делать презентации в чате GPT (по моей методике, по одному слайду - подольше, но зато качество - огонь и без всяких водяных знаков) 🟣покажу как сделать свой брендбук 🟣покажу как адаптировать идеи для постов в нормальных адекватный текст без нейросетевых штампов 🟣сделаем карусель для постов именно в вашем стиле на основе созданного поста 🟣сделаем истор

🔥21👏1

3 Aug 2026, 05:46 UTC47 views20 reactionsread 7 August 2026
Photo

Доброе утро понедельника всем) На прошлой неделе издание ПЕРВ24 запрашивало у меня мнение по поводу того, как меняется поиск в сетях. Вчера выпустили статью, делюсь: https://perv.life/news/poisk_ne_umiraet_ekspert_o_tom_kak_nejroseti_menyayut_privychki Порадовала пометка ЭКСКЛЮЗИВ😳😄

❤‍🔥5👍54🔥21👏1💯1🤝1

1 Aug 2026, 19:28 UTC68 views14 reactionsread 7 August 2026
Photo

Когда звонит клиент, а ты в поле😂

🤣7🔥4🥰3

Showing the 12 most recent of 13 posts we hold for @studio_knyazeva. 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.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 6 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“Наталья Князева | IT для экспертов” (@studio_knyazeva), 560 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/studio_knyazeva.

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.