Marketing & affiliate — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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
33 measurements spanning 42 days, net +5,721. 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 27,260–34,697 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 04:56
33,839
+70
16 Sept 2026, 02:02
33,769
+74
14 Sept 2026, 06:59
33,695
+113
12 Sept 2026, 16:59
33,582
+200
10 Sept 2026, 16:37
33,382
+506
7 Sept 2026, 14:17
32,876
+530
4 Sept 2026, 19:38
32,346
+114
3 Sept 2026, 07:45
32,232
+70
2 Sept 2026, 02:57
32,162
+110
1 Sept 2026, 04:18
32,052
+113
31 Aug 2026, 03:04
31,939
+150
30 Aug 2026, 03:16
31,789
+130
29 Aug 2026, 04:23
31,659
+176
28 Aug 2026, 04:06
31,483
+65
27 Aug 2026, 06:07
31,418
-29
26 Aug 2026, 04:52
31,447
+25
25 Aug 2026, 05:07
31,422
+280
24 Aug 2026, 02:09
31,142
+318
22 Aug 2026, 12:12
30,824
+100
20 Aug 2026, 23:14
30,724
first reading
Engagement
108 posts held, back to 24 July 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 76 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.91%
avg views ÷ 33,839 subscribers
Avg views / post
1,320
41 posts measured
Reaction rate
2.25%
reactions ÷ views · ER floor
Posts in window
41
of 108 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 22 September 2026
Posts held
108 (24 July 2026 – 22 September 2026)
Views total
54,270
Reactions total
1,220
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Sept 2026, 05:49 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
≈5,040
Videos
≈1,050
Links
≈1,570
Lifetime counters from Telegram’s own channel header, read 23 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
22m 21s
Average length
58s
Measured directly from 23 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
3,088 reactions across 106 posts, in 10 distinct kinds. The most used accounts for 30.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🐳
925
30.0%
❤
852
27.6%
🔥
847
27.4%
👏
188
6.09%
👍
145
4.70%
🏆
38
1.23%
❤🔥
36
1.17%
🎉
30
0.972%
🥰
18
0.583%
💯
9
0.291%
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 106 of the 108 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 3,088 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 108 most recent posts we hold, published 24 July 2026 to 22 September 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.
А теперь зацените рилс для эксперта по обучению и развитию руководителей
опять же, товарищи, смотрим на до и после
- субтитры
- монтаж
- элементы
все это сделала через ии, ручками ничего не трогала 🐳
В закрытом канале лежит инструкция, по которой сможете сделать первый базовый монтаж в нейросети
там прям готовая схема + промт
не стесняйтесь) заходите, забирайте - https://school.fedorova-academy.ru/aikomne-list?…
Рилс для психолога готов. Заходите заценить
Посмотрите на исходник, а потом на результат
Да товарищи, вот такие технологии)
Весь этот монтаж нафеячила через иишку
Знаете, что самое приятное?
В закрытом канале уже рассказываю, в каких нейросетях я это делаю и как базово наложить субтитры 🐳
Вот на эту ссылку жмете, забираете инструкцию и монтируете свои рилс через ии: https://school.fedorova-academy.ru/aikomne-lis…
Спорим, не угадаете, что я сегодня сделала?
Решила размяться и сделать монтаж не на своих видео, а экспертам разных ниш
Выбирайте, с кого начнем?
🔥 - если психолог
❤️ - если обучение и развитие руководителей
Заходите проверять свою интуицию. Правильный ответ - нейросеть
Я не сидела и не собирала все это руками. Подключила к задаче иишку - и вот результат)
Как именно это работает + инструкцию, по которой вы сможете попробовать сделать то же самое, я уже положила в закрытый канал
🔥 Бегите смотреть, пока не удалили: https://school.fedorova-academy.ru/aikomne-list?utm_source=tgkanal
Так, товарищи, экзамен
Проверим вашу чуйку. Как думаете, кто смонтировал этот ролик?
❤️ - если Клод
🔥 - если чат джпт
🐳 - если Else Maker
👏🏻 - если человек-монтажер
Правильный ответ….. ДА. НА ВСЕ
Причем это даже не какие-то экспериментальные функции, которыми умеют пользоваться 3 программиста в мире))
Большую часть этого уже можно делать совершенно обычному человеку
Просто проблема в том, что большинство до сих пор используют нейросеть примерно так:
"Напиши мне пост про…" - и получают соответствующий результат
Поэтому я записала подробный урок, где максимально простым челов…
Попробуйте угадать, что из этого нейросеть УЖЕ может сделать
ВОПРОС 1
Может ли нейросеть сама находить актуальные темы и новости в вашей нише и складывать все найденное вам в отдельную папку?
☐ да
☐ нет
ВОПРОС 2
А может ли она потом сама взять все найденные темы и превратить их в сценарии для сторис, рилс и постов?
☐ да
☐ нет
ВОПРОС 3
А дальше оформить этот контент в готовую карусель и смонтированное видео?
…
Вы уже забрали мой урок про чат жпт и клод?
Напоминаю, я 2 недели гоняла обе нейросети на одинаковых задачах и собрала все выводы в один 15-минутный видеоурок
Сейчас он бесплатно лежит в закрытом канале. 29 сентября мы его удалим
Если еще не смотрели, забирайте, пока он в доступе 🐳
Вот сюда жмите: https://school.fedorova-academy.ru/aikomne-list?utm_source=tgkanal
ВОТ ЧТО Я ДУМАЮ ПРО… КЛОД
Я две недели сравнивала чат джпт и клод
Давала им одни и те же задачи, пробовала разные режимы работы и смотрела, где кто реально сильнее
И вместо очередного поста "Клод лучше / нет, чат джпт лучше" я решила просто собрать все свои выводы в один короткий урок
20 минут, и вы сэкономите себе несколько месяцев самостоятельных тестов
Потому что за эти 20 минут покажу:
⭕️ какую задачу я бы …
Так, товарищи, у меня к вам срочный вопрос
Вы в какой команде - за чат джпт или за Клод?
❤️ - если за джпт
🔥 - если за клод
👏🏻 - если используете обоих
👍🏻 - если вообще не понимаете, чем они отличаются
В общем, приготовьтесь 🤝 Завтра у меня будет одна очень классная новость для вас про Клод
Думаю, многие из вас уже давно от меня этого ждали))
🐳9🔥9❤🔥5👏2
Showing the 12 most recent of 108 posts we hold for @fedorova_o_pro. 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.
Posts edited after publishing
@fedorova_o_pro edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
15 August 2026
Most recent edit
15 August 2026
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 5 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Подруга маркетолог (Маргарита Захарова) @marketing_dir · 34,350 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 4 September 2026
ChatPlace @chatplaceio · 53,062 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 25 August 2026
маркетинговый бутерброд @kotelkreativov · 27,413 Telegram ranks this channel #15 of 74 here — alongside 73 others — read 23 September 2026
Кирилл Артамонов @artamonov_proreels · 25,178 Telegram ranks this channel #15 of 80 here — alongside 79 others — read 14 September 2026
кабинет маркетолога @youtube_marina · 49,816 Telegram ranks this channel #25 of 87 here — alongside 86 others — read 25 August 2026
Артем Сенаторов печатает... @senatorov_art · 31,418 Telegram ranks this channel #31 of 83 here — alongside 82 others — read 5 September 2026
Арина Алекс. REELS и продажи @ArinaAlexx · 115,847 Telegram ranks this channel #36 of 75 here — alongside 74 others — read 16 August 2026
Маркетинг. Александра Гуреева @alexandra_gureeva · 21,578 Telegram ranks this channel #44 of 89 here — alongside 88 others — read 23 September 2026
Татьяна Чупрова | Психолог @tanatanyshachup · 51,568 Telegram ranks this channel #66 of 79 here — alongside 78 others — read 24 August 2026
Илья Палий @mirneyrosetey · 34,468 Telegram ranks this channel #75 of 88 here — alongside 87 others — read 3 September 2026
This channel appears in 10 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Про продажи | Федорова Ксения” (@fedorova_o_pro), 33,839 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/fedorova_o_pro.
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.