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Channel

Татьяна Франк и FRANK.

@frank_tatiana

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

1,352subscribers

+19 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001618462973
TypeChannel
Username@frank_tatiana
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held9
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/frank_tatiana

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 18 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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

1,3331,3521,342.57 August 2026 — 1,333 subscribers8 August 2026 — 1,333 subscribers14 August 2026 — 1,334 subscribers21 August 2026 — 1,335 subscribers24 August 2026 — 1,337 subscribers27 August 2026 — 1,341 subscribers2 September 2026 — 1,342 subscribers11 September 2026 — 1,351 subscribers19 September 2026 — 1,352 subscribers7 August 202619 September 2026
9 measurements spanning 43 days, net +19. 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 1,330–1,355 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 11:351,352+1
11 Sept 2026, 20:171,351+9
2 Sept 2026, 18:381,342+1
27 Aug 2026, 20:131,341+4
24 Aug 2026, 17:181,337+2
21 Aug 2026, 01:431,335+1
14 Aug 2026, 18:571,334+1
8 Aug 2026, 09:301,333no change
7 Aug 2026, 12:031,333first reading

Engagement

9 posts held, back to 27 March 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 9 posts for this entry, the most recent from 20 June 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

356 reactions across 9 posts, in 11 distinct kinds. The most used accounts for 43.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15443.3%
🔥11231.5%
💯4612.9%
👍257.02%
🍾51.40%
❤‍🔥41.12%
🏆41.12%
👾20.562%
🤓20.562%
👌10.281%
🤗10.281%

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 9 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 356 reactions 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 27 March 2026 to 20 June 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.

Telegram Stars

Stars received
12
across the posts below
Posts paid on
9
of 9 we hold a reading for · 100%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @frank_tatiana. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 9 most recent posts we hold for this entry, published 27 March 2026 to 20 June 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

20 Jun 2026, 09:25 UTC867 views15 reactions1 Starread 7 August 2026
Video

Друзья, анонс полезных мероприятий FRANK. на конец июня❤️‍🔥 ▪️Как привлекать пациентов без столичных бюджетов - конференция «Региональный пульс» 23 июня, 11:00 - 17:00, онлайн, бесплатно Регистрация ▪️Конференция «АНТИХРУПКАЯ HoReCa 2.0: Цифровой рывок» Для ресторанов, кафе и доставок лучшие практики от лидеров отрасли 25 июня, 12:00, онлайн Регистрация ▪️2 бесплатных закрытых бизнес-завтрака для клиник и салоно

👍7❤‍🔥43👌1

12 May 2026, 19:44 UTC≈1,420 views26 reactions1 Starread 7 August 2026
Photo

Про это, кстати, есть классная книга! Если вам актуально) Спасибо книжному клубу Вани Замесина, что я нахожу такие книжные бриллианты🤍

16🔥7👍3

12 May 2026, 19:23 UTC≈1,220 views42 reactions1 Starread 7 August 2026
Photo

8 дней без телефона. Есть ли жизнь по ту сторону экрана?🫠 2 мая в аэропорту, вылетая в отпуск на теннис-кэмп в Турции, я разбила айфон и на неделю откатилась в ХХ век: без телефона и ноутбука — с книгой и блокнотом. Даже этот пост я написала карандашом и сейчас перепечатала :) Друзья, сколько же жизни в самой жизни, когда не отвлекаешься в экран! Насколько спокойнее стали мои мысли, чище видение и глубже ощущение м

25🔥9💯5👍2🤗1

27 Apr 2026, 20:11 UTC≈1,500 views34 reactions1 Starread 7 August 2026
Video

Забудьте, что я писала что NotebookLM мега-находка! Мне сегодня настроили автоматические команды, что при открытии Telegram, WhatsApp, YouTube, GPT и др. автоматически включается VPN. А когда закрываю — выключается. Сам. Мгновенно. 🥹🥹 Функция в IPhone через приложение «Команды». Может про это давно все знают, но я весь день на седьмом небе, что больше не надо вкл-выкл делать постоянно. Попросила ассистента записа

🔥2011👍3

26 Apr 2026, 07:23 UTC≈1,250 views39 reactions1 Starread 7 August 2026
Photo

Про нейронки. Моё мега-открытие для работы с любой информацией — Google NotebookLM. NotebookLM — инструмент, который помогает разобраться в выбранных тобой источниках. Можно загрузить PDF, книги, заметки, статьи, презентации, аудио, ссылки на ютуб и дальше: • задавать в чате вопросы по этим материалам • сделать саммари, майнд-карту, презентацию • аудио / видео подкаст Особенно полезно, если нужно: • быстро разобра

23🔥12👍4

19 Apr 2026, 10:34 UTC≈1,200 views63 reactions1 Starread 7 August 2026

Невозможно Как? Много думаю о том, как внутренняя планка нормы определяет почти всю нашу жизнь. В марте я изучала рынок стоматологий под инвестиции. В один день у меня было три встречи с собственниками сетей сопоставимого масштаба, ~1 млрд оборота. Утром первый собственник говорит: «В стоматологии невозможно сделать рентабельность выше 7–10%. Кризис сейчас» Днём вторая встреча. «7–10% — это просто у тех, кто не у

32💯18🔥12👍1

17 Apr 2026, 18:03 UTC≈1,150 views24 reactions1 Starread 7 August 2026

3 вебинара FRANK. на которых вам обязательно нужно быть в апреле❤️‍🔥 ▪️Синергия маркетинга и клиентского сервиса. Как выжать максимум 21 апреля, 16:00 (мск) Регистрация Поголовно вижу у клиентов как теряются миллионы на некачественной обработке обращений. Расскажем как это исправить ▪️Новые рекламные возможности геосервисов, о которые вы не знаете 22 апреля, 14:00 (мск) Регистрация 3 ключевых игрока рынка гео-рек

🔥127👍5

28 Mar 2026, 09:35 UTC≈1,380 views84 reactions4 Starsread 7 August 2026
Photo

Сильное окружение ничего не решает «Зная тебя, ты точно окупишь», — сказал мне Кирилл на завтраке в ответ на вопрос, стоит ли идти в Сколково на одну программу за много миллионов. Кручу в голове эту фразу всю неделю. Часто вижу, как в одной среде кто-то растёт ракетой, а кто-то топчется на месте с мыслью: «Главное — я в сильном окружении». Говорят, что в банке с солёными огурцами ты тоже просолишься. Да. Но забыв

🔥3123💯17🍾5🏆4👾2🤓2

27 Mar 2026, 05:09 UTC≈1,100 views29 reactions1 Starread 7 August 2026
Photo

Только ради этой встречи в Яндексе вернулась в Москву из этого рая❤️‍🔥 Обсуждали с Людмилой как она после увольнения с позиции СЕО в Medical on Groop стала жить на Москву и Сочи по две недели. Сижу думаю: «А мне ведь даже увольняться не надо..» 😁

14🔥9💯6

Showing the 9 most recent of 9 posts we hold for @frank_tatiana. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Татьяна Франк и FRANK.” (@frank_tatiana), 1,352 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/frank_tatiana.

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.