Other / unclassifiable — 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 56% 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
36 measurements spanning 65 days, net +297. 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 21,102–21,580 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
11 Oct 2026, 05:41
21,454
-25
6 Oct 2026, 21:21
21,479
+121
1 Oct 2026, 21:21
21,358
+11
18 Sept 2026, 08:59
21,347
-24
16 Sept 2026, 01:20
21,371
-26
14 Sept 2026, 07:58
21,397
-12
12 Sept 2026, 17:19
21,409
-12
10 Sept 2026, 20:02
21,421
-3
7 Sept 2026, 22:15
21,424
+37
4 Sept 2026, 23:17
21,387
-21
3 Sept 2026, 09:07
21,408
-8
2 Sept 2026, 04:33
21,416
-12
1 Sept 2026, 01:36
21,428
-26
30 Aug 2026, 21:45
21,454
-13
29 Aug 2026, 22:36
21,467
-14
29 Aug 2026, 01:48
21,481
-9
28 Aug 2026, 05:04
21,490
+4
27 Aug 2026, 05:33
21,486
+7
26 Aug 2026, 05:46
21,479
-5
25 Aug 2026, 03:28
21,484
first reading
Engagement
26 posts held, back to 6 April 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
87.7%
avg views ÷ 21,454 subscribers
Avg views / post
18,800
5 posts measured
Reaction rate
5.10%
reactions ÷ views · ER floor
Posts in window
5
of 26 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 October 2026
Posts held
26 (6 April 2026 – 10 October 2026)
Views total
94,100
Reactions total
4,799
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Oct 2026, 13:06 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
81
Videos
44
Links
21
Lifetime counters from Telegram’s own channel header, read 12 October 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
4m 59s
Average length
25s
Measured directly from 12 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
23,034 reactions across 26 posts, in 11 distinct kinds. The most used accounts for 71.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
16,539
71.8%
👍
1,969
8.55%
🔥
1,842
8.00%
🤯
729
3.16%
😢
677
2.94%
custom 5379568768714285796
511
2.22%
🏆
343
1.49%
👀
192
0.834%
💔
143
0.621%
🆒
48
0.208%
👨💻
41
0.178%
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 26 of the 26 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 23,034 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 6 April 2026 to 10 October 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
2,665
across the posts below
Posts paid on
22
of 26 we hold a reading for · 85%
Most on one post
2,230
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @denyska88. 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 26 most recent posts we hold for this entry, published 6 April 2026 to 10 October 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.
ровно неделя, как мы переехали из Киева во Львов
и вот честный отзыв про жизнь во Львове и пару слов про львовян
долго искал какой-то подходящий видос или фотку под этот пост, лучше, чем этот, не опишет никакой
начну с основного…
с людей
тут очень добрые люди, везде тебя встречают с улыбкой, все очень искренние, когда идешь с собакеном, с тобой часто заводят какой-то small talk (мы тут разговариваем со всеми искл…
самое нелепое в продаже прадика через соцсети в том, что больше всего советов, как продать, критики за то, что поставил изначально большой прайс, и нравоучений я услышал от типов, у которых машины нет и вряд ли когда-то была
и смысл не в цене — да, она изначально была большая
не в том, как продаю — да, можно было чуть по-другому
проблема куда глубже…
это формат людей такой…
они всё знают лучше других, они во всём…
в Киеве прожил 29 лет
с Киевом связаны самые тёплые и лучшие моменты в моей жизни
Киев — мой дом и город, в котором вижу свою жизнь
в Киеве моя семья, мои друзья и люди, которых люблю
но жить в режиме выживания больше просто не хочется
работа и перформанс в постоянном фоновом стрессе, где у нервной системы просто нет времени на восстановление, дошли до пиковой точки
количество неправильных решений в работе, пол…
с 14 начал работать
в 24 заработал первую единичку
в 27, после ухода с фонда, потерял всё, и жизнь началась с чистого листа
всё, что тогда оставалось, — это 0$ на рабочем балансе, чуть отложенных денег и машина…
крузак 300…
кредитный крузак 300…
продал
часть положил в работу и часть оставил, чтоб хоть как-то пытаться продолжать платить за ремонт в квартире мамы…
сегодня мне 29
на фото выше одна и та же машина, пр…
моя физическая форма выглядит ± так
чтобы прямо в хорошей форме, то себя не помню и не уверен, что она хоть раз в жизни была
где-то выглядел чуть лучше, где-то чуть хуже, но в среднем выгляжу просто обычно
если тренируюсь, то могу поддерживать более-менее нормальный вид, если нет, то тело деградирует за неделю
голливудской траектории в моем внешнем виде никогда не было, да и походы в качалку всегда давались через…
у 9 из 10 людей, кого я знаю, дела стали идти хуже, чем когда-либо
вне зависимости от сферы работы, возраста, степени вовлеченности и уровня дохода
без разницы: айтишка, трейдинг, арбитраж, мелкий или средний бизнес, офисы или честное предпринимательство — треш происходит у всех
у каждого он разного масштаба, но есть он абсолютно у всех, кого знаю
каждый шаг, который раньше делался на автопилоте, сейчас требует тр…
2 года назад мы с Колей Je ami записали трек, который у меня просят до сих пор
не знаю почему, но этот трек слушаю по сей день
выкладывать его в публичное поле не хотелось, но сейчас решился
спасибо Коле за текст, фулл продакшн, и всю помощь
меня там максимально подтягивали по нотам
да и слуха у меня, кстати - ноль
P.S/: Коля талантище
луксмаксинг — один из самых идиотских пацанских трендов, которые видел в интернете
для тех, кто не в курсе, это такая субкультура, суть которой заключается в максимальном улучшении своей внешней привлекательности
смысл не в том, чтобы хорошо выглядеть, быть ухоженным и спортивным, а полностью фокусироваться именно на собственных внешних изъянах (несуществующих) и доводить их до идеала
в двух словах: типы меряются,…
была огромная проблема с поиском какого-то хобби, чтобы отвлекаться хоть как-то от работы и чтобы, кроме этой самой работы, хоть что-то в жизни интересовало
нашел его еще полтора года назад — компьютерные игры
ничего, кроме деградации, увеличения уровня прокрастинации и тревоги, ухудшения рабочих результатов, данная затея не принесла
чисто способ, чтобы ни о чем не думать и голова побыла в спокойствии
путь тупико…
так будет не всегда
когда-то эту фразу мне сказали одни мои взрослые товарищи, и принял её всерьез совсем недавно
с каждым годом понимаю всю силу этих слов, вне зависимости от того, идут дела хорошо или плохо
скрин выше — стата с брокера моих двух последних трейдов
17к профита, из которых 7к — комиссии за локейты
2 года назад заплатил бы от силы 3000
ситуация становится хуже с каждым днем из-за того, что теперь в…
❤418😢68🤯31custom 537956876871428579613👍5🔥4
Showing the 12 most recent of 26 posts we hold for @denyska88. 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
@denyska88 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
9 October 2026
Most recent edit
9 October 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
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.
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 11 October 2026 — this
entry's latest reading, not the date you are reading this.
“8.8888” (@denyska88), 21,454 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/denyska88.
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.