Этот канал читает айтишник из Сбера, удалёнщик с Кипра и маркетолог из Яндекса. Делаем русский маркетинг модным🇷🇺
Сотрудничество: @pokrovek
РКН: https://rkn.link/OaF
Created
14 February 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 68% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views and reactions moved apart
On 8 of the 397 posts we watched over 30 days, the view counter climbed while the reaction counter stayed where it was — by more than this channel’s own reactions-per-view rate can account for. That rate, measured on this entry, is 0.0139 reactions per view.
Each interval, as we read it — views and reactions before and after
Expected is the view gain multiplied by this channel’s own prior reactions-per-view rate over the same post — not a corpus average, so a channel whose audience never reacts is compared only against itself. Every interval is credited in the direction that makes the observation harder to record, never easier: t.me renders views and reactions to three significant figures above ~1,000, so a raw delta can be a rendering step. Every delta below is at least 4 x the coarser reading's step, the view gain is discounted by a full step and the reaction gain credited with one. Measured by tgregister velocity.py (our own t.me/s/ readings).
What this does and does not say. It says the two counters moved apart, by more than rounding and more than this channel’s own history predicts. It asserts no cause. Views arriving from outside Telegram, an embedded or forwarded copy of the post, and a burst of readers who simply do not react all produce this shape. This detector has recorded very few observations across the whole register, and its precision has not been measured; treat it as an anomaly worth looking at, not as a finding.
Recorded under the key view_reaction_decoupling, last confirmed 10 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
129 measurements spanning 97 days, net +285,719. 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 1,174,885–1,553,265 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 129
Measured (UTC)
Subscribers
Change
10 Nov 2026, 13:11
1,504,263
+321
9 Nov 2026, 21:36
1,503,942
-1,421
8 Nov 2026, 22:58
1,505,363
-971
8 Nov 2026, 12:20
1,506,334
-3,272
7 Nov 2026, 13:05
1,509,606
+757
7 Nov 2026, 05:25
1,508,849
+963
6 Nov 2026, 13:55
1,507,886
+607
6 Nov 2026, 08:00
1,507,279
+371
5 Nov 2026, 12:15
1,506,908
+734
5 Nov 2026, 06:06
1,506,174
+944
4 Nov 2026, 15:15
1,505,230
+455
4 Nov 2026, 05:40
1,504,775
+1,064
3 Nov 2026, 15:40
1,503,711
+978
3 Nov 2026, 02:47
1,502,733
+477
2 Nov 2026, 15:08
1,502,256
-732
2 Nov 2026, 04:38
1,502,988
-708
1 Nov 2026, 14:12
1,503,696
+1,383
1 Nov 2026, 02:18
1,502,313
+1,863
31 Oct 2026, 14:46
1,500,450
+2,110
31 Oct 2026, 02:00
1,498,340
first reading
Engagement
1,316 posts held, back to 5 August 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 202 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.76%
avg views ÷ 1,504,263 subscribers
Avg views / post
26,400
398 posts measured
Reaction rate
1.50%
reactions ÷ views · ER floor
Posts in window
398
of 1,316 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 10 November 2026
Posts held
1,316 (5 August 2026 – 10 November 2026)
Views total
10,522,730
Reactions total
157,443
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 02:50 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
≈17,700
Videos
≈6,200
Links
≈1,390
Lifetime counters from Telegram’s own channel header, read 10 November 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
2h 11m
Average length
23s
Measured directly from 339 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 398 of this channel’s own posts over the last 30 days (2 of the 24-hour readings behind this are interpolated, not measured directly): across 378 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 3.7 hours of being posted; a typical post has already reached 31.5% of its 24-hour view count within the first hour, and 72.5% within the first six; the median 24-hour reach across those posts is 21,700 views — 1.44% of this channel’s own subscriber count (90th percentile 26,630).
8 most recently posted, with a view-velocity reading
60 minutes: 8,442 interp. → 3.0 hours: 13,163 interp. → 6.0 hours: 14,700still climbing at last reading
not yet at 24h
53 minutesprovisional — final view count still climbing
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
418,082 reactions across 1,000 posts, in 62 distinct kinds. The most used accounts for 20.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5269401899794176946
86,714
20.7%
custom 5298615902269373715
66,249
15.8%
custom 5379559607549068175
33,497
8.01%
custom 5217784068002843715
22,450
5.37%
custom 5278724740490497302
21,787
5.21%
custom 5336914954576497103
20,839
4.98%
custom 5298851090383535340
19,758
4.73%
custom 5296706205190739827
16,544
3.96%
custom 5445247030647619588
16,013
3.83%
custom 5373002609827295212
11,641
2.78%
custom 5298664362385369995
11,582
2.77%
custom 5429540013123609349
10,879
2.60%
custom 5319071212297561005
9,265
2.22%
custom 5195139737697947002
8,434
2.02%
custom 5339275979703493164
5,182
1.24%
custom 5426947996065510851
5,159
1.23%
custom 5194924181879296296
4,759
1.14%
custom 5366381544078342981
4,191
1.00%
custom 5413446517262416256
3,448
0.825%
custom 5194955393406640936
3,425
0.819%
42 further kinds
36,266
8.67%
Custom emoji. Every 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 counts beside them are 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 1,000 of the 1,000 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 418,082 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 27 August 2026 to 10 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.
Advertising
Ad load
0.7%
7 of 1,000 posts carry an ad marker
Regulatory tokens
7
posts carrying an erid · 7 distinct tokens
Median views · ads
23,900
over 7 measured posts
Median views · rest
26,100
over 993 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjc1chh5
1
13 October 2026
13 October 2026
2SDnjct5JzF
1
16 October 2026
16 October 2026
2SDnjdyVHib
1
16 October 2026
16 October 2026
2SDnjeP6db1
1
3 September 2026
3 September 2026
2Vtzqx9guMN
1
28 September 2026
28 September 2026
2W5zFGf7Pvy
1
1 October 2026
1 October 2026
2W5zFHdKu3o
1
22 October 2026
22 October 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 1,000 most recent posts we hold (the sample is capped at 1,000), published 27 August 2026 to 10 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 87 of 398 posts held from the last 30 days (21.9%) 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).
Игорь Синяк пригрозил перестать сниматься в видео Сергея Grey Wiese из-за травли. Баронессу де Синяк достали обвинения в том, что она разрушила отношения Сергея с Андреем Григорьевым-Апполоновым*. Если так пойдёт и дальше, новые мемы с Синяком мир больше не увидит.
Баронессу довели, менталка россиян под угрозой 🐸
*Движение ЛГБТ признано экстремистским и запрещено в РФ
Автор нейрохита «Ты моя мразота» выпустил новый трек «Моей попе больно». В ТикТоке песню назвали гимном острых крылышек из Rostic’s, и слушают её, сидя на унитазе.
Этого нам ещё не хватало💀💀💀
Бизнес продолжает вкладываться в ИИ, а нейросети активнее становятся частью рабочих процессов. Только вдумайтесь: за девять месяцев этого года люди потратили на ИИ-подписки $40 миллиардов, а 42% руководителей компаний выделили на ИИ-технологии отдельный бюджет.
Более того, 76% руководителей по всему миру считают инвестиции в ИИ более прибыльными, чем сокращение других расходов. А 37% уже видят вклад от ИИ в EBIT. В …
В One Plus Coffee выпустили раф со вкусом Twix! Его подают в специальных стаканчиках с двумя отсеками, чтобы каждый мог выбрать, какая палочка Twix вкуснее — правая или левая. Либо просто разделить кофе с близкими и друзьями.
Противостояние левой и правой палочек Twix вышло на новый уровень🌚
В Zara появилась РУССКАЯ коллекция одежды. Бренд завёз в магазины зимнюю линейку в стиле slavic core:
• Меховые шапки, как у наших мам и бабушек в нулевые
• Куртки с узорами, похожими на славянские
• Рукавички, как в старых сказках
Выезжаем в Минск на русский шопинг 🎄
Сеть кинотеатров Синема Парк и Формула Кино будут продавать билеты за полцены в честь Чёрной пятницы. Уже завтра они устроят мегараспродажу со скидкой 50% на все доступные сеансы. Например, на Сумерки можно сходить всего за 200 рублей.
Акция пройдёт в Москве, Новосибирске, Питере, Краснодаре, Сочи, Уфе и других городах, где есть кинотеатры от Синема Парк и Формулы Кино. Устраиваем киномарафон 🫡
Zemma и Самокат выкатили максимально дофаминовую коллабу и предлагают всем нам добавить красок в серые будни. В коллекцию «Неземной комфорт и забота» вошли туалетная бумага, салфетки и бумажные полотенца в роскошных ярких упаковках, которые так и хочется купить.
Больше не боимся радовать своего внутреннего ребёнка и спокойно качаемся на качелях или прыгаем по лужам, ведь Zemma напоминает, что маленькие радости — это…
Баронесса де Синяк начала преподавать анатомию будущим медикам. Девушка случайно нашла урок с легендой Эрмесовки в учебных материалах онлайн-школы Сеченова, где ИИ-Баронесса объясняла разницу между Vertu и Vertebrae. Первое это телефон, с которым Андрей Григорьев-Апполонов Каписько пришёл на показ Dior, а второе — позвонок.
Баронесса отстояла Эрмесовку и взялась за российскую медицину 🐸
Пивоварня Бёрнинг выкатила гозе со вкусом питерской соли с ананасом для особенных вечеров. Варщики уверяют: у питерской ананасовой соли настоящий вкус северной столицы, но с тропическим характером.
Даже у питерской соли новые вкусы😃
Showing the 12 most recent of 1,316 posts we hold for @trendsetter. 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
@trendsetter edited 64 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
7 August 2026
Most recent edit
10 November 2026
Posts recorded as deleted after publishing
We recorded 6 posts on @trendsetter as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
14 August 2026
Most recent seen missing
10 October 2026
Median time before seen missing
5.2 hours
Seen missing in the last 30 days
0
Mentions
Named by 74 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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 8 August 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.
Провод @provod · 1,561,289 Telegram ranks this channel #1 of 91 here — alongside 90 others — read 8 August 2026
украла авокадо с фотостоков @mavacado · 42,250 Telegram ranks this channel #2 of 95 here — alongside 94 others — read 28 August 2026
Отцы Экономики @economicfathers · 88,664 Telegram ranks this channel #2 of 68 here — alongside 67 others — read 17 August 2026
ок, согласовано @notypicmarketing · 707,978 Telegram ranks this channel #2 of 95 here — alongside 94 others — read 10 August 2026
Маркетинг нефильтрованный @costperlead · 108,250 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 14 August 2026
Движитал @dvizhitall · 463,893 Telegram ranks this channel #3 of 63 here — alongside 62 others — read 9 August 2026
Ситилинк @citilink_official · 104,055 Telegram ranks this channel #4 of 75 here — alongside 74 others — read 22 August 2026
Передали коллегам @collegi · 134,238 Telegram ranks this channel #4 of 92 here — alongside 91 others — read 13 August 2026
лидер мнений среди удобрений @lider · 175,531 Telegram ranks this channel #4 of 93 here — alongside 92 others — read 12 August 2026
о чём говорят коллеги @kollegi · 186,268 Telegram ranks this channel #5 of 90 here — alongside 89 others — read 12 August 2026
бумеры смотрят телек @boomers_TV · 156,897 Telegram ranks this channel #6 of 95 here — alongside 94 others — read 12 August 2026
Москоуавто @moscowauto · 194,419 Telegram ranks this channel #6 of 86 here — alongside 85 others — read 11 August 2026
Русский ритейл и бизнес @retailrus · 281,555 Telegram ranks this channel #7 of 91 here — alongside 90 others — read 10 August 2026
Не баг, а фича @bugnotfeature · 1,161,851 Telegram ranks this channel #7 of 94 here — alongside 93 others — read 8 August 2026
Сегодня в тренде @trends · 1,112,806 Telegram ranks this channel #7 of 93 here — alongside 92 others — read 8 August 2026
Бэкдор @whackdoor · 1,538,229 Telegram ranks this channel #7 of 94 here — alongside 93 others — read 8 August 2026
Креатив на сдачу @creoch · 87,745 Telegram ranks this channel #9 of 91 here — alongside 90 others — read 17 August 2026
Алиса, что нового? @alice_yndx · 123,232 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 13 August 2026
Ритейл заказывали? @retailife · 92,842 Telegram ranks this channel #10 of 70 here — alongside 69 others — read 11 September 2026
GamersHub @gamershubrus · 31,219 Telegram ranks this channel #10 of 58 here — alongside 57 others — read 5 September 2026
КудаМосква @kudamsk24 · 225,168 Telegram ranks this channel #10 of 91 here — alongside 90 others — read 11 August 2026
Оправдания для заказчика @olegizvini · 32,634 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 4 September 2026
Рестарт @remedia · 667,251 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 8 August 2026
мы вам перезвоним @ca11_you · 138,656 Telegram ranks this channel #12 of 91 here — alongside 90 others — read 13 August 2026
This channel appears in 246 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
One domain this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Ты в тренде или уходи” (@trendsetter), 1,504,263 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/trendsetter.
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.