Ecommerce storefront — 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 93% 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
44 measurements spanning 76 days, net +6,994. 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 20,232–32,511 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 44
Measured (UTC)
Subscribers
Change
20 Oct 2026, 23:46
30,123
-175
19 Oct 2026, 20:41
30,298
-368
18 Oct 2026, 22:06
30,666
-428
17 Oct 2026, 19:58
31,094
+183
16 Oct 2026, 22:00
30,911
+207
15 Oct 2026, 20:27
30,704
+168
14 Oct 2026, 22:56
30,536
+88
13 Oct 2026, 12:46
30,448
+445
9 Oct 2026, 11:22
30,003
+364
5 Oct 2026, 00:41
29,639
+792
28 Sept 2026, 02:22
28,847
+6,896
17 Sept 2026, 20:38
21,951
+302
15 Sept 2026, 18:40
21,649
-53
14 Sept 2026, 05:37
21,702
-50
12 Sept 2026, 14:40
21,752
-76
10 Sept 2026, 15:01
21,828
-70
7 Sept 2026, 10:56
21,898
-176
4 Sept 2026, 14:00
22,074
-107
3 Sept 2026, 01:07
22,181
-38
2 Sept 2026, 01:41
22,219
first reading
Engagement
236 posts held, back to 4 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 106 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.4%
avg views ÷ 30,123 subscribers
Avg views / post
3,720
78 posts measured
Reaction rate
0.296%
reactions ÷ views · ER floor
Posts in window
78
of 236 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 20 October 2026
Posts held
236 (4 August 2026 – 20 October 2026)
Views total
290,210
Reactions total
859
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
20 Oct 2026, 22:14 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
1m 36s
Average length
19s
Measured directly from 5 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
1,168 reactions across 189 posts, in 24 distinct kinds. The most used accounts for 37.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
432
37.0%
❤
333
28.5%
🔥
121
10.4%
👏
51
4.37%
😁
41
3.51%
🤡
31
2.65%
👎
30
2.57%
👌
22
1.88%
🤣
20
1.71%
🤔
13
1.11%
💩
12
1.03%
😢
12
1.03%
🤮
11
0.942%
🎉
7
0.599%
🥰
7
0.599%
🤨
6
0.514%
🍌
4
0.342%
🐳
3
0.257%
💊
3
0.257%
😐
3
0.257%
4 further kinds
6
0.514%
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 203 of the 236 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 1,179 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 236 most recent posts we hold, published 4 August 2026 to 20 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.
Advertising
Ad load
85.6%
202 of 236 posts carry an ad marker
Regulatory tokens
202
posts carrying an erid · 151 distinct tokens
Median views · ads
1,290
over 202 measured posts
Median views · rest
1,090
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. 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
2SDnje7PPuz
14
5 August 2026
3 September 2026
2SDnjd2igev
4
14 August 2026
26 August 2026
2SDnjd5fco5
4
26 August 2026
14 October 2026
2SDnjdx8wBg
4
18 August 2026
25 August 2026
2SDnjc75QTD
3
26 September 2026
20 October 2026
2SDnjcJxtwV
3
6 August 2026
3 October 2026
2SDnjcbdbxo
3
14 August 2026
7 October 2026
2SDnjcfxri6
3
4 August 2026
19 August 2026
2SDnjdisR8w
3
28 August 2026
5 October 2026
2SDnjeu5E1w
3
28 September 2026
19 October 2026
2SDnjbq2DzB
2
25 August 2026
2 October 2026
2SDnjc5roNB
2
16 August 2026
22 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. 139 further tokens are held for this entry and not listed here.
Measured over the 236 most recent posts we hold, published 4 August 2026 to 20 October 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.
#подборка #обувь
КРОССОВКИ ДЛЯ ДОЛГОЙ ХОДЬБЫ 👟
Подобрали 7 пар обуви для тех, кто любит много ходить. Тут и спортивные кроссовки, и утеплённые модели для холодной погоды, и крепкие ботинки для прогулок за городом. Осталось выбрать пару под свой маршрут и стиль.
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1. Li-Ning ~4879₽
2. Maden ~5587₽
3. HUMTTO ~8239₽
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6. Maden ~5813₽
7. Ботинки ~1219₽
…
#подборка #сушилки
СУХАЯ ОБУВЬ ДАЖЕ В САМУЮ СЛЯКОТЬ 👟
Для вас пять электрических сушилок для обуви! От простых моделей за несколько сотен рублей до устройств с регулировкой температуры и таймером.
Это вам точно пригодится в дождливую осень!
Купить 👇🏻
1. Сушилка №1 ~1532₽
2. Сушилка №2 ~2248₽
3. Сушилка №3 ~444₽
4. Сушилка №4 ~911₽
5. Сушилка №5 ~1469₽
Реклама. ООО «АЕР Услуги», ИНН 7703380158
🔥Зря купил OnePlus 16? Сравнение камер с OnePlus 15🔥
📱 смотреть на YouTube
- КАМЕРА ЗАПОТЕЛА - уже прошло или еще нет?
- кто сильнее шарпит?
- кто точнее в цветах?
- а если сравнить их с iPhone 18 Pro Max?
- что с минимальной дистанцией фокусировки на зуме?
- есть вопросы к видео
... и многое другое!
#обзор #LiNing #кроссовки
ОБЗОР: LI-NING CLY SHADE
СПУСТЯ МЕСЯЦ НОСКИ 🔥
Прошёл примерно месяц с момента нашего первого обзора Li-Ning Cly Shade и поэтому настало время показать как они выглядят после активной носки! За это время кроссовки успели повидать осеннюю грязь, дождь и даже первый снег.
Вид у них уже по-настоящему боевой! Кроссовки сохранили свою форму, сетчатые вставки и накладки выглядят целыми, швы на м…
#подборка #штаны
ЗИМА БЛИЗКО, А ШТАНЫ ВСЁ ЕЩЁ ОСЕННИЕ? ❄️
Когда температура уходит в минус, то любимые джинсы начинают предательски пропускать холод, а надевать под них ещё три слоя одежды не всегда хочется, то подобрали для вас 5 пар мужских зимних штанов!
Купить 👇🏻
1. Штаны №1 ~3 659₽
2. Штаны №2 ~4 189₽
3. Штаны №3 ~1 829₽
4. Штаны №4 ~1 559₽
5. Штаны №5 ~3 363₽
Реклама. ООО «АЕР Услуги», ИНН 7703380158
#образ
ОБРАЗ НА ПРОХЛАДНУЮ ОСЕНЬ 🍂
Осенью погода меняется быстрее, чем успеваешь выбрать, что надеть. Поэтому здесь всё просто: свитшот, лёгкая куртка поверх и плотные джинсы с высокими ботинками!
Весь образ 👇🏻
1. Шапка Li-Ning ~1 438₽
2. Куртка Maden ~3 319₽
3. Свитшот Li-Ning ~4 241₽
4. Перчатки DANJIU ~749₽
5. Джинсы Maden ~3 889₽
6. Носки ZYCSNH ~599₽
7. Ботинки Maden ~5 280₽
Реклама. ООО «АЕР Услуги», ИНН …
#подборка #инструменты
КОМПАКТНЫЕ НАБОРЫ ИНСТРУМЕНТОВ 🛠
Когда нужно что-то подкрутить, разобрать или починить, а подходящей отвёртки нет под рукой.
Собрали 5 наборов на разные случаи: от ремонта часов и электроники до разборки салона автомобиля. Всё компактно, по своим местам и без огромного ящика с инструментами.
Купить 👇🏻
1. Набор JUNMUMUKEJ~1745₽
2. Набор для авто ~3207₽
3. Набор WOZOBUY 122 в 1 ~1612₽
4. Наб…
#подборка
НА СКЛОНЕ — С ХОРОШИМ ОБЗОРОМ 🏂
Подписчик попросил подобрать горнолыжные маски для катания на лыжах и сноуборде. Запрос приняли и нашли пять интересных вариантов на разный бюджет.
В подборке есть фотохромные модели, маски с магнитными линзами и дополнительными стёклами для разной погоды.
Купить 👇🏻
1. NATFIRE ~1549₽
2. MAXJULI ~1659₽
3. KAPVOE №2 ~3075₽
4. COPOZZ ~3829₽
5. PHMAX ~2399₽
Реклама. ООО «АЕ…
ХОЧУ И МОГУ ДО 5000
Друзья, давайте сыграем в игру хочу/могу! Расскажите о своих желаниях и покажите находки, которые вписываются в выбранный вами бюджет. Это могут быть покупки для обновления гардероба, создания уюта, любимого хобби или решения повседневных задач. Мы начинаем:
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#обзор #отвёртка
ОБЗОР: КУПИЛИ ЗА ВАС КОШЕЛЁК
ОТВЁРТКУ ЗА 300₽
Взяли недорогой набор прецизионных отвёрток 25 в 1 для мелкого ремонта, техники и всяких домашних задач.
В комплекте небольшая ручка, компактный кейс в видео кошелька и набор разных бит. За свои деньги выглядит очень бодро, особенно если нужно разобрать телефон, ноутбук, джойстик, очки, игрушки или что-то по мелочи дома. А теперь главное: у товара 7 59…
❤14👍10
Showing the 12 most recent of 236 posts we hold for @modnox. 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.
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 5 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.
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 20 October 2026 — this
entry's latest reading, not the date you are reading this.
“Мужской Экспресс” (@modnox), 30,123 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/modnox.
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.