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 11 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
34 measurements spanning 49 days, net -519. 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 10,023–10,698 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
25 Sept 2026, 08:58
10,101
-72
17 Sept 2026, 07:36
10,173
-18
15 Sept 2026, 09:22
10,191
-19
13 Sept 2026, 18:41
10,210
-17
11 Sept 2026, 20:57
10,227
-17
9 Sept 2026, 08:18
10,244
-46
5 Sept 2026, 21:21
10,290
-11
3 Sept 2026, 17:37
10,301
-17
2 Sept 2026, 12:08
10,318
-17
1 Sept 2026, 12:25
10,335
-9
31 Aug 2026, 14:47
10,344
-13
30 Aug 2026, 18:03
10,357
-11
29 Aug 2026, 20:55
10,368
-8
28 Aug 2026, 23:14
10,376
-10
27 Aug 2026, 23:47
10,386
-14
27 Aug 2026, 00:38
10,400
-10
25 Aug 2026, 22:04
10,410
-14
24 Aug 2026, 23:37
10,424
-48
23 Aug 2026, 07:57
10,472
-22
21 Aug 2026, 20:07
10,494
first reading
Engagement
20 posts held, back to 25 June 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 38 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.35%
avg views ÷ 10,101 subscribers
Avg views / post
237
1 post measured
Reaction rate
3.80%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 27 August 2026
Posts held
20 (25 June 2026 – 27 August 2026)
Views total
237
Reactions total
9
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 15:03 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.
Reaction mix
402 reactions across 19 posts, in 13 distinct kinds. The most used accounts for 48.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
196
48.8%
custom 5461044878139991881
72
17.9%
❤
49
12.2%
🏆
28
6.97%
🤝
18
4.48%
👍
10
2.49%
😁
10
2.49%
🍓
8
1.99%
💘
3
0.746%
😍
3
0.746%
💯
2
0.498%
😱
2
0.498%
🤯
1
0.249%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 19 of the 20 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 402 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 25 June 2026 to 27 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.
📱работодатель СКРЫВАЕТ это от ТЕБЯ!
на прошлом посте набрали 50🔥, а это значит — скоро выйдет подкаст!
а пока я выложил на YouTube новое видео, в котором поделился секретом…
…который твой работодатель никогда прямо не скажет тебе.
за что на самом деле он платит? ведь если ты поймёшь это, у тебя появятся неудобные вопросы.
в этом видео разбираю «продукт должности» — результат, за который тебе платят деньги.
и по…
🤔В ЧЕМ СУТЬ ДВИЖУХИ?
концепция простая: каждый день я буду раскрывать ступени дохода на Авито.
именно давать конкретное действие + конкретный инструмент, чтобы заработать.
5–10к разово — одно действие и один инструмент
35-50к с проекта — уже другие действия и инструмент
100–150к с 3–4 клиентов — третьи
а большинство ребят находятся на уровне НУЛЬ и пытаются сразу прыгнуть в 150к.
50 🔥 и запишу вам подкаст про …
ДЕЛАЮ ДВИЖУХУ ДЛЯ НОВИЧКОВ🔥
с сегодня и до 21 сентября я буду вести закрытый чат ПЕРВАЯ СОТКА НА АВИТО.
4 недели каждый день буду показывать, как выйти на первые деньги без опыта.
все на моих проектах, кабинетах клиентов и цифрах агентства.
кому вступить обязательно:
— кто в найме и хочет уйти
— кто уже пробовал в онлайне и не получилось
— у кого нет вообще опыта в удаленке
я покажу в чате детальный путь от нуля…
а много у меня подписчиков, которые ещё НЕ зарабатывают на фрилансе, но хотят? перекличка — поставь любую реакцию на этот пост, если узнал себя 👇
у меня есть кое-какая интересная идея
Я ПРОПАЛ НА МЕСЯЦ — И ВОТ ПОЧЕМУ 🤫
весь август я снимал полноценный фильм про самый лучший способ онлайн заработка для новичка в 2026 году...
помнишь, чего ты на самом деле хочешь?
проснуться в среду без будильника. не в отпуске, а в обычную среду.
закрыть ноутбук в час дня. и потопать по своим делам.
сорваться в путешествие день в день.
или зайти в магазин и купить себе что-то, вообще не думая о деньгах.
СВО…
🤔какие проекты я веду сейчас?
с начала лета я в работу взял 3 новых клиентов.
обычно июнь и июль — плохие месяцы в рекламе, так как все разъезжаются по отпускам, а к работе возвращаются ближе к сентябрю.
но я всегда ищу клиентов по моей системе, она стабильно работает даже в «низкий» сезон.
с кем я сейчас работаю:
1️⃣ агентство по получению ЕС гражданства, чек 100 000₽
2️⃣ академия ИИ в сфере финансов, чек 130 …
утро доброе ⚡️
это когда сперва море, потом завтрак, и потом только рабочие задачи.
за июнь +2 проекта на рекламу, а за июль ещё +1.
ставь 🔥 — если интересно узнать про мои проекты.
прошло 11 дней после моего мастер-класса — делюсь результатами 🔥
клиент, которому я в прямом эфире запустил рекламу, получил 125 заявок на 565 000₽.
запуск рекламы у меня занял 1 час эфира.
после эфира на следующий день я выделил ещё 3 часа, чтобы сгенерировать 30 объявлений через нейронку.
с этим клиентом моя команда работает больше года, чек проекта 35к/месяц.
в этом вся прелесть рекламы — клиент платит регуля…
в пятницу я на глазах 30 человек запустил проект по Авито моего реального клиента 🔥
команда, всем привет! я вернулся с выходных и хочу поделиться с вами — как прошел мой мастер-класс по заработку первых 100-150 тысяч на Авито.
2 дня я вводил в курс дела и показывал всю внутрянку моих проектов.
ребятам очень зашло, было много обратной связи в чате, как подробно и понятно все разжевано.
выходные я отдыхал от эфиров…
💭год назад один из моих учеников написал мне в 8 утра в понедельник.
выше кстати вчерашний полуторачасовой эфир 1го дня мастер-класса.
Ваня, я сижу в пробке. еду на работу. опаздываю. и думаю — когда уже закончится этот день сурка?
прошел год.
мы с ним списались сегодня, только уже в 12 утра.
Ваня, сижу в кафе. только что закрыл второй проект за месяц. итого вышло 67 000₽. сейчас позавтракаю, доделаю задачи и в …
🔥7❤6👍3
Showing the 12 most recent of 20 posts we hold for @ibochkoff. 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
@ibochkoff 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
26 August 2026
Most recent edit
26 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 1 registered channel — 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.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Иван Бочков” (@ibochkoff), 10,101 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/ibochkoff.
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.