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 10 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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 -123. 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 18,007–18,311 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 12:19
18,153
+4
15 Sept 2026, 11:41
18,149
-26
13 Sept 2026, 22:59
18,175
+30
12 Sept 2026, 07:40
18,145
+65
10 Sept 2026, 03:58
18,080
+15
6 Sept 2026, 20:19
18,065
-5
4 Sept 2026, 10:17
18,070
+21
2 Sept 2026, 22:58
18,049
-1
1 Sept 2026, 23:53
18,050
+5
31 Aug 2026, 04:53
18,045
+3
30 Aug 2026, 01:53
18,042
-6
29 Aug 2026, 03:14
18,048
-21
28 Aug 2026, 01:24
18,069
-8
27 Aug 2026, 00:43
18,077
+3
26 Aug 2026, 04:13
18,074
+1
25 Aug 2026, 03:38
18,073
-13
24 Aug 2026, 00:19
18,086
-2
22 Aug 2026, 09:52
18,088
-7
21 Aug 2026, 00:07
18,095
+7
19 Aug 2026, 21:47
18,088
first reading
Engagement
32 posts held, back to 8 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.8%
avg views ÷ 18,153 subscribers
Avg views / post
3,230
7 posts measured
Reaction rate
4.63%
reactions ÷ views · ER floor
Posts in window
7
of 32 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 2 September 2026
Posts held
32 (8 May 2026 – 2 September 2026)
Views total
22,620
Reactions total
1,047
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:58 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
Video runtime
16s
Average length
16s
Measured directly from 1 video 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
4,355 reactions across 32 posts, in 18 distinct kinds. The most used accounts for 54.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,361
54.2%
🔥
771
17.7%
👏
300
6.89%
🐳
262
6.02%
🎉
180
4.13%
🙏
123
2.82%
🤔
83
1.91%
🕊
51
1.17%
💯
43
0.987%
🌚
34
0.781%
😁
29
0.666%
⚡
27
0.62%
😱
24
0.551%
👀
20
0.459%
🏆
17
0.39%
🤯
12
0.276%
🍌
11
0.253%
🍾
7
0.161%
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 32 of the 32 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 4,355 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 8 May 2026 to 2 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.
Telegram Stars
Stars received
22
across the posts below
Posts paid on
9
of 32 we hold a reading for · 28%
Most on one post
6
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kgrbnv. 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 32 most recent posts we hold for this entry, published 8 May 2026 to 2 September 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.
Advertising
Ad load
3.13%
1 of 32 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
3,150
over 1 measured post
Median views · rest
6,510
over 31 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2Vtzqv3c1F1
1
27 August 2026
27 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 32 most recent posts we hold, published 8 May 2026 to 2 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Че там по ИИ-контенту?
Друзья, я мало здесь пишу про контент. Только общие мысли про дистрибуцию и что на первое место выходит аудитория, нетворк, сильный бренд, навыки продаж, соцсети, эмоциональная связь с клиентом. Но что с этим делать, не всегда понятно, ибо умничать поверхностно может каждый!
А все потому что я в контенте мало понимаю, и свои рилсы и посты делаю руками по-старинке.
Но хорошо, что мы работаем …
Не могу держать в себе, поэтому пишу сюда.
Мой хороший приятель Саша Зимин пропал в Непале. Пятый день не выходит на связь. По имеющейся информации, он был на той самой границе — ровно в тот момент, когда сошёл оползень, который полностью стер это место с лица Земли.
Мы переписывались за день до этого. Во вторник, в обед. Он рассказывал, как в детстве ходил на Эльбрус.
И всё.
—
Я в эти дни очень много думаю о см…
Супер Супер Супер
Ребят, исторически сложилось так, что в sfer.ai мы работаем только как б2б. И за полтора года мы обучили уже 50+ компаний и 4000+ специалистов.
Но меня постоянно просят запустить б2с-формат, чтобы можно было просто прийти самому, если работодатель по каким-то причинам пока не оплачивает обучение.
Всё, что мы наработали на корпоративных программах, упаковали в открытый курс с почти нуля до гиперпр…
Эльбрус — всё вообще не так, как я ожидал
[часть 1]
Решил, что напишу три поста по итогам своего восхождения:
1. Впечатления и ожидания
2. Зачем я пошёл в горы или «Это бред, Кирилл, подвергать риску свою жизнь»
3. Прикладная инфа: про подготовку и что бы я сейчас делал иначе
—
Начну с первого. Хочу поделиться с вами по горячим следам несколькими впечатлениями.
01
Это пиздец как тяжело
Из-за высоты всё станови…
Общаюсь с фаундерами, у которых команда по всему миру. И у всех одна и та же боль — как платить специалистам в разных странах.
За последние пять лет мир найма изменился: нормальная история, когда у небольшой компании разработчик в Аргентине, дизайнер в Грузии, маркетолог в Португалии. В общем, собираешь лучших, где бы они ни были.
И как же сложно всем заплатить нормально, не нарушив никаких законов.
Каждому — дого…
Ваш Телеграм читают
Мне кажется, не все это осознают, поэтому хочу предупредить.
С вероятностью близкой к 100% все ваши Телеграм-чаты, в которых вы состоите и где более 20–30 участников, «пишутся» и сохраняются со всей историей.
С февраля 2026-го у огромного количества людей появились собственные AI-агенты вроде Hermes или OpenClaw, которые подключены к их Телеграм-аккаунтам и всё читают.
Они помогают с договорен…
Эльбрус
21 августа в 7:23 мне посчастливилось зайти на высшую точку Европы (5642м).
Скоро будет несколько постов по мотивам.
Пока могу сказать, что это, пожалуй, самое сложное, что я когда-либо делал в жизни.
Как я зауважал альпинистов, ребята, вы бы знали :))
Предел знаний в ИИ
Мы обучили уже больше 10 тысяч человек ИИшкам в разных их проявлениях. Из них больше 3,5к — это сотрудники крупных компаний.
У нас есть флагманские 4–6 месячные программы, когда мы показываем людям всё, что знаем и умеем сами, когда у каждого члена команды появляются свои автономные ИИ-агенты, когда они сами становятся в состоянии автоматизировать кучу рабочих задач через Claude Code / Kimi / Cod…
Мы не используем AI-автоматизации в sfer.ai (ну почти)
Презы делаем в Фигме с дизайнером. Документооборот не автоматизирован. По-настоящему автономных агентов нет.
Классический сапожник без сапог — можно подумать со стороны. Но нет.
Мысль, которую я постоянно повторяю на своих выступлениях:
В AI-автоматизации самое главное — эффект для вашего бизнеса.
Нет смысла упарываться в автоматизацию того, что стоит вам 20…
Как разговаривать с AI о своем здоровье?
Недавно я рассказывал вам про свою Health OS (тут и вот тут) — в неё загружены все мои анализы, визиты к врачам, истории болезни, и через хороший промт она способна давать классные рекомендации.
По крайней мере, мне так казалось.
А потом у меня на глазу вылез огромный ячмень.
Я стал советоваться с ChatGPT, и он дал мне ряд рекомендаций. В числе прочего — не использовать го…
Привет! Я сегодня прилетел в Минеральные Воды. Это значит, что уже завтра начинается мое приключение на Эльбрус!
Я не планирую спамить контентом здесь, но буду его выкладывать его в свой третий телеграм-канал, который называется «Кирилл Твиттерил» (Он у меня маленький, я там пишу вообще без цензуры).
И если вам интересно следить, и вы на него еще не подписаны, то подписывайтесь 🙂
(это была краткая суть кружка выше
❤37🔥20🎉8👏4
Showing the 12 most recent of 32 posts we hold for @kgrbnv. 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.
Posts edited after publishing
@kgrbnv edited 4 posts 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
13 August 2026
Most recent edit
31 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 14 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.
Dumik @dumik · 22,244 Telegram ranks this channel #20 of 98 here — alongside 97 others — read 21 September 2026
Кутергин в огне 🔥 @kutergin_on_fire · 61,804 Telegram ranks this channel #24 of 97 here — alongside 96 others — read 22 August 2026
Соколова наизнанку @naiznankuo · 58,587 Telegram ranks this channel #26 of 95 here — alongside 94 others — read 23 August 2026
Ваня Замесин @zamesin · 50,414 Telegram ranks this channel #44 of 97 here — alongside 96 others — read 25 August 2026
Максим Спиридонов @mspiridonov · 66,824 Telegram ranks this channel #51 of 98 here — alongside 97 others — read 21 August 2026
МТС Банк @mts_bank_official · 47,389 Telegram ranks this channel #53 of 82 here — alongside 81 others — read 26 August 2026
Александр Попов @apopovonline · 26,297 Telegram ranks this channel #77 of 81 here — alongside 80 others — read 12 September 2026
Самолет @gk_samoletru · 79,702 Telegram ranks this channel #79 of 80 here — alongside 79 others — read 18 August 2026
This channel appears in 8 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“[Гурбанов] Кирилл говорил” (@kgrbnv), 18,153 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/kgrbnv.
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.