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 9 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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.
Growth
63 measurements spanning 92 days, net -2,793. 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 66,209–69,840 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
7 Nov 2026, 19:49
66,628
-44
6 Nov 2026, 16:07
66,672
-7
5 Nov 2026, 17:46
66,679
-32
4 Nov 2026, 17:49
66,711
-47
3 Nov 2026, 18:47
66,758
-23
2 Nov 2026, 21:05
66,781
-37
1 Nov 2026, 18:50
66,818
-17
31 Oct 2026, 16:55
66,835
-17
30 Oct 2026, 16:44
66,852
-28
29 Oct 2026, 18:50
66,880
-32
28 Oct 2026, 16:56
66,912
-32
27 Oct 2026, 20:21
66,944
-25
26 Oct 2026, 20:49
66,969
-29
25 Oct 2026, 19:11
66,998
-36
24 Oct 2026, 17:10
67,034
-25
23 Oct 2026, 19:37
67,059
-52
22 Oct 2026, 18:06
67,111
-42
21 Oct 2026, 16:07
67,153
-33
20 Oct 2026, 14:49
67,186
-21
19 Oct 2026, 15:20
67,207
first reading
Engagement
228 posts held, back to 3 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 188 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.52%
avg views ÷ 66,628 subscribers
Avg views / post
1,010
69 posts measured
Reaction rate
1.91%
reactions ÷ views · ER floor
Posts in window
69
of 228 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 7 November 2026
Posts held
228 (3 August 2026 – 7 November 2026)
Views total
69,809
Reactions total
1,336
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 08:42 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
≈1,710
Videos
≈623
Links
≈109
Lifetime counters from Telegram’s own channel header, read 8 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
56m 49s
Average length
43s
Measured directly from 79 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
4,630 reactions across 228 posts, in 15 distinct kinds. The most used accounts for 32.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,520
32.8%
😁
1,187
25.6%
🔥
1,020
22.0%
🤯
248
5.36%
🗿
197
4.25%
😍
96
2.07%
🙏
94
2.03%
💯
62
1.34%
😭
54
1.17%
💔
46
0.994%
😢
41
0.886%
🤓
28
0.605%
😎
16
0.346%
🫡
12
0.259%
😐
9
0.194%
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 228 of the 228 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 4,630 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 228 most recent posts we hold, published 3 August 2026 to 7 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.
Telegram Stars
Stars received
16
across the posts below
Posts paid on
1
of 228 we hold a reading for · 0.4%
Most on one post
16
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @supermarketng. 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 228 most recent posts we hold for this entry, published 3 August 2026 to 7 November 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
0.439%
1 of 228 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
904
over 1 measured post
Median views · rest
1,030
over 227 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
2Vtzqv8GPXR
1
26 August 2026
26 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 228 most recent posts we hold, published 3 August 2026 to 7 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: 4 of 69 posts held from the last 30 days (5.80%) 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).
Врач обогатился на пересадке козьих желёз
В 1920-х Джон Бринкли из Америки стал радиозвездой. Он изобрёл якобы новый метод лечения импотенции — операции по пересадке козьих желёз.
В эфире он каждый день консультировал, выписывал лекарства и записывал клиентов в клинику. Радиорецепты приносили ему до 20 тысяч долларов в месяц, а операции стоили до 1500 долларов. Конечно же, они никому не помогли.
В 1931 году власти…
M&S побрил Санта-Клауса
В рождественской рекламе M&S Санта-Клаус сбривает бороду по просьбе миссис Клаус. Оказывается, что он не старичок, а красавчик с рельефным прессом.
В таком виде он отправляется в Лондон праздновать Рождество — ведь теперь его никто не узнает.
На ВБ появился Rolls-Royce
Wildberries расширил каталог подержанных автомобилей. Среди привычных марок вроде BMW, Audi и Toyota появились редкие модели — например, Rolls-Royce Phantom 2005 года, лимитированный Abarth Anniversario и Chevrolet Express.
Правда, купить машину с доставкой до двери не получится: Wildberries выступает только площадкой для поиска. Осмотреть автомобиль, оформить договор и забрать его нужно …
«Нанимайте детей»
Michael Macfarlane Associates выполняет всего одну задачу. Она делает так, чтобы обзор от нейросети не выдавал старые скандалы и негатив о клиенте. Все работники — зумеры.
Команда отслеживает, где у клиента слабое место в репутации, и выпускает посты и подкасты, которые это вытеснят. Иногда они даже отвечают на негативные посты на Reddit, чтобы запутать ИИ.
Услуги стоят от $25 тысяч в месяц. Осно…
Шагомер, который реально заставит ходить
В тредсе завирусился шагомер, который превращает ходьбу в самый уютный квест.
По лору ты становишься почтальоном, который разносит письма в деревне Липовке, а местные жители знакомят тебя с бытом. Пользователи говорят, что уже начали ходить больше и даже выходят на прогулку в дождь.
«Нишевый» и «воздухан» — претенденты на слово 2026 года
«Грамота.ру» представила десять финалистов: половина связана с ИИ, остальные — с эмоциями и человеческими типажами.
• вайбкодинг;
• генерить;
• дата-центр;
• ИИ-агент;
• иишка;
• дофаминовый;
• нишевый;
• прайм-эра;
• воздухaн;
• тревожник.
Нишевые тревожники, как вам этот дофаминовый список?
😁 — Прайм-эра русского языка
🗿 — «Грамота.ру» навоздуханила
Xbox засунула консоль в аллигатора
Компания создала кастомную Xbox Series X в виде полутораметрового аллигатора. Консоль немного просвечивает из его тела, как будто он проглотил её, а между челюстями лежит геймпад.
Для создания привлекли специалистов, работавших над «Миром Юрского периода» и «Ведьмаком». Экземпляр всего один — его разыгрывают среди поклонников Xbox в США.
Kia слепила автомобиль из теннисной глины
Бренд создал полноразмерную копию электрокара EV4 GT из глины с теннисных кортов, где играл Рафаэль Надаль. Это испанский теннисист, который выиграл 63 титула на грунте.
Это подарок спортсмену на 22 года сотрудничества. Вместо обычной разметки на глиняной модели — линии теннисного корта и отметки главных побед Надаля.
Во «Вкусно — и точка» будет игрушка-ровер из «Яндекс Еды»
С 17 ноября в Кидз Комбо можно будет получить мини-копию доставщика «Яндекс Еды». У игрушки открывается багажный отсек, в который помещается упаковка соуса.
А ещё у малыша-ровера будут рабочие колёса — можно оформить доставку соуса прямо до тарелки.
Если бы калькулятор делали современные UX-дизайнеры
В рилсах показали, как бы выглядел калькулятор в айфоне, если бы его делали по современным стандартам.
Добавили жизненно необходимые функции: сторис, статьи с заголовком «2+2 все ещё равно 4» и, конечно, ИИ-ассистента. Бесполезные цифры убрали, чтобы не перегружать интерфейс.
А в комментариях уже предлагают идеи для обновления 😁
Как Apple поняла, что вайб продаёт лучше характеристик
В 2001 году компания выпустила iPod. Это был прорыв: огромная музыкальная библиотека теперь помещается в карман. Так и рекламировали: с акцентом на технологии и удобстве.
Но в 2003 Apple решили сменить стратегию — и выпустили постеры с простыми черными силуэтами с белыми наушниками в ушах. Они ничего не объясняли о технологии, но были заряжены энергией самовыра…
Зумеры хотят популярности, но желательно без последствий
Каждый второй зумер мечтает о популярности, но слава на всю страну нужна лишь 6% — исследование DIDENOK TEAM.
Кажется, идеальный сценарий для большинства — рекламные контракты и узнаваемость в своей нише, но чтобы никто не пытался сфотографировать тебя в очереди за кофе:
• 51% опрошенных боятся потерять личное пространство;
• 34% — столкнуться с хейтом;
•…
😁9💯6❤4
Showing the 12 most recent of 228 posts we hold for @supermarketng. 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
@supermarketng edited 2 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
26 August 2026
Most recent edit
14 September 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Супермаркетинг” (@supermarketng), 66,628 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/supermarketng.
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.