О том, как развивать личный бренд предпринимателям и топ-менеджерам.
От основателя агентства thelift.pro
@tonkingram — по вопросам рекламы
@agusentsova — для связи
Created
11 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Personal blog — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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 the other topics.
Growth
25 measurements spanning 98 days, net +336. 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 8,855–9,854 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
12 Nov 2026, 08:06
9,416
+19
7 Nov 2026, 20:44
9,397
+34
5 Nov 2026, 01:30
9,363
-5
1 Nov 2026, 18:48
9,368
+36
29 Oct 2026, 21:41
9,332
-44
26 Oct 2026, 13:15
9,376
-57
23 Oct 2026, 14:18
9,433
-82
20 Oct 2026, 10:44
9,515
-186
17 Oct 2026, 15:01
9,701
-38
14 Oct 2026, 19:25
9,739
+225
11 Oct 2026, 11:57
9,514
+233
5 Oct 2026, 01:00
9,281
+202
25 Sept 2026, 16:18
9,079
-350
15 Sept 2026, 08:15
9,429
+40
6 Sept 2026, 18:56
9,389
-11
1 Sept 2026, 20:34
9,400
+149
29 Aug 2026, 14:47
9,251
+151
26 Aug 2026, 11:52
9,100
+25
23 Aug 2026, 09:27
9,075
-2
19 Aug 2026, 13:27
9,077
first reading
Engagement
45 posts held, back to 14 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 52 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
25.5%
avg views ÷ 9,416 subscribers
Avg views / post
2,400
8 posts measured
Reaction rate
1.36%
reactions ÷ views · ER floor
Posts in window
8
of 45 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
45 (14 May 2026 – 11 November 2026)
Views total
19,200
Reactions total
261
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 12:39 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
739
Videos
34
Links
390
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
56s
Average length
28s
Measured directly from 2 videos 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
1,703 reactions across 45 posts, in 23 distinct kinds. The most used accounts for 38.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
661
38.8%
🔥
424
24.9%
👍
229
13.4%
💯
104
6.11%
😁
54
3.17%
👏
43
2.52%
🎉
37
2.17%
🥰
34
2.00%
❤🔥
31
1.82%
🕊
28
1.64%
👌
12
0.705%
✍
10
0.587%
⚡
9
0.528%
🤔
6
0.352%
🥴
5
0.294%
😱
3
0.176%
🤣
3
0.176%
👨💻
2
0.117%
🙏
2
0.117%
🤩
2
0.117%
3 further kinds
4
0.235%
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 45 of the 45 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 1,703 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 14 May 2026 to 11 November 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
4
across the posts below
Posts paid on
4
of 45 we hold a reading for · 9%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nastyaintouch. 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 45 most recent posts we hold for this entry, published 14 May 2026 to 11 November 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
Telegram’s own ‘edited’ marker: 1 of 8 posts held from the last 30 days (12.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
«Хочется повыёбываться»
Так мне недавно клиент объяснил, зачем ему личный бренд.
Я сначала посмеялась. Потом вспомнила, сколько раз за этот год уже слышала то же самое, и смеяться перестала. Почти всегда это мужики около сорока, которым уже есть что показать.
Рассказала знакомому предпринимателю. Он даже бровью не повёл: Насть, это открытая книга. Думаешь, люди в сорок просто так мотоциклы покупают?
Он прав, но я…
Кажется, я использую Claude Code на 20%
При том что ИИ у меня уже везде. Claude ведёт моё расписание и думает со мной над стратегией. Под процессы LiFT я собрала собственные скиллы — от очеловечивания ИИ-текстов до сборки коммерческих предложений — и учу команду работать так же. Презентации и отчёты агентство давно делегировало ИИ. Я даже сооснователь ИИ-продукта.
И всё равно: что ещё можно поручить агентам, я нащу…
Чего бы почитать за чашкой кофе? А давайте #дайджест
БИЗНЕС 😐
— Что делать со сложной задачей
— Поздний вход на рынок может стать преимуществом
— Как превратить сотрудников в амбассадоров: моя колонка для Т-Бизнес
ЛИЧНЫЙ БРЕНД И СОЦСЕТИ 👀
— Кто вас должен заметить?
— Как извлечь пользу из чужого мнения
— Стоп-слова в позиционировании
ПРО МЕНЯ И ТЕБЯ ☕️
— Как располагать к себе людей aka заводить друзей
— В чем моя…
За неделю мне подарили три книги. Каждую вручил её автор. А за год таких книг набирается около десяти.
Я завидую.
Завидую, что у них есть книга, что они нашли на неё время, что довели до «издано», а не оставили в «надо бы написать».
В 2022-м я начала писать свою. Несколько страниц, а дальше всё время было не до неё. Четыре года уже не до неё.
Зависть обычно маскируют под «я так за тебя рада». А зря: по ней видно …
Охваты и цена за тысячу показов помогают сравнить инфлюенсеров. Но не объясняют, почему один продаёт, а другой нет.
В опросе выше большинство из вас выбрали эксперта. Другие фавориты — блогеры.
Всё дело в том, за чем аудитория приходит к человеку. Одни подписываются на блогера, потому что им интересна его жизнь и хочется быть на него похожими. Другие — потому что доверяют его знаниям или хотят понять, какое решение…
Представьте: вы выбираете инфлюенсера для рекламной кампании
Нашли четырёх кандидатов с сопоставимыми охватами и стоимостью размещения:
🔸блогер, за жизнью которого следят как за жизнью знакомого
🔸знаменитость, которую знают далеко за пределами соцсетей
🔸эксперт, к советам которого прислушиваются
🔸руководитель крупной компании, чьё мнение имеет вес в отрасли
Бюджет позволяет выбрать только одного.
Куда идти, если всё заблокировано, замедлено и непонятно
Эта тема сейчас волнует всех, кто занимается продвижением. Обсудим её 21 октября в 15:00 мск в онлайн-формате на ЛИД ФЕСТе.
Telegram замедляют, размещение рекламы в нём и на YouTube грозит штрафами с 1 января. MAX вырос до 86 млн пользователей в месяц, но это не значит, что туда автоматически перешла ваша аудитория. Сайты могут не открываться при отключении м…
У компании уже есть десятки или даже сотни амбассадоров. Они пока просто не знают, что они амбассадоры.
Рассказываю, как это исправить, — в колонке для Т-Бизнес секретов.
Как превратить сотрудников в амбассадоров
На связи Анастасия Гусенцова, основательница и CEO агентства LiFT.
Компании платят блогерам за охваты — а внутри у них работают сотни людей, которые знают продукт лучше любого блогера и молчат.
Амбассадор — это человек, который искренне любит бренд и хочет о нем рассказывать. Но просто попросить людей «писать про бренд в соцсетях» не сработает. Потому что они не будут пони…
«Я не буду вести блог — в этой нише всё занято»
За этой фразой — миф: чтобы выделиться, нужна идея, которой раньше не существовало. Иначе зачем начинать?
На практике поздний вход — преимущество. Первые уже проверили спрос, набили шишки и показали, что работает. У них можно поучиться — но не для того, чтобы сделать лучше.
«Лучше» — ловушка: это гонка с теми, у кого фора в несколько лет. Работает «по-другому». Не гр…
«Эксперт», «опытный», «сильный», «системный», «надёжный».
Попробуйте представить себе человека только по этим словам. Что вы о нём поняли? И главное — за чем к нему можно прийти?
За таким описанием может скрываться любой хороший специалист — в этом и проблема. Поэтому, когда я рассказываю о классных людях из своего окружения, я обычно заменяю качества на глаголы.
«Системный HRD» → перестроил процессы, когда команд…
❤21👍15🔥7⚡2💯1
Showing the 12 most recent of 45 posts we hold for @nastyaintouch. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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 3 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Николай Хлебинский @nikolay_khl · 23,866 Telegram ranks this channel #35 of 96 here — alongside 95 others — read 22 September 2026
Андрей Осокин @OsokinOsokin · 19,157 Telegram ranks this channel #60 of 100 here — alongside 99 others — read 5 October 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Настя на связи” (@nastyaintouch), 9,416 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/nastyaintouch.
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.