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 18 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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
7 measurements spanning 17 days, net +185. 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 2,584–2,825 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 18:56
2,797
+18
14 Sept 2026, 18:21
2,779
+64
11 Sept 2026, 05:56
2,715
+4
6 Sept 2026, 19:22
2,711
+46
2 Sept 2026, 02:34
2,665
+53
1 Sept 2026, 16:30
2,612
no change
1 Sept 2026, 16:15
2,612
first reading
Engagement
4 posts held, back to 25 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.6%
avg views ÷ 2,797 subscribers
Avg views / post
632
4 posts measured
Reaction rate
3.21%
reactions ÷ views · ER floor
Posts in window
4
of 4 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 1 September 2026
Posts held
4 (25 August 2026 – 1 September 2026)
Views total
2,526
Reactions total
81
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Sept 2026, 16:30 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.
Reaction mix
81 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 55.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
45
55.6%
❤🔥
22
27.2%
👍
12
14.8%
🔥
2
2.47%
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 4 of the 4 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 81 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 25 August 2026 to 1 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.
О чем я писала в августе
Для тех, кто пропустил или хотел бы перечитать
• Где покупать винтажную посуду в Сербии — мои любимые проверенные места от блошиных рынков до онлайн-магазинов
• Ремонт обуви, химчистка и реставрация — куда и к кому обращаться в Белграде
• Бренды каких стран наиболее популярны в Сербии?
Небольшое географическое исследование
• Что подарить на память о Сербии? Несколько идей от локальных брендо…
Выбираем уютный джемпер к предстоящей осени
Приближается моё любимое время года — сезон шуршащих золотых листьев, длинных прогулок в парках и мягких теплых джемперов. Вот о последних я и хочу сегодня рассказать, точнее о моих любимых брендах в Сербии, у которых всегда можно найти уютный трикотаж. На любой вкус!
1. Классические джемперы с косами — Ralph Lauren и PIOMBO
О PIOMBO я писала в предыдущем тексте — в этом…
Думаю, многие из вас заметили новую волну интереса к Сербии — все больше вопросов от новой волны экспатов о досуге, культуре и гастрономии в стране. Сегодня хочу поделиться с вами каналом, который отлично погрузит вас во все эти темы разом, — «Кофеёк и билеты в мире».
Автор канала — Юля, выпускница МГУ и блогер со стажем, исследует культуру, гастрономию и виноделие Сербии. Посты в блоге — это ваш путеводитель по Бел…
Пять итальянских брендов в Сербии, о которых стоит знать
Этот текст — продолжение материала уже двухлетней давности! Не прошло и два года, как я собрала вторую часть (и ведь действительно не прошло — прошлый пост был 31 августа 2024). Кстати, все, описанное в нем, по-прежнему актуально, поэтому рекомендую начать с предыдущей подборки.
Сегодня я расскажу еще о пяти моих любимых итальянских брендах, представленных в …
❤🔥14❤11👍3
Showing the 4 most recent of 4 posts we hold for @serbia_shopping. 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.
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.
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.
Serbia In My Mind @SerbiaInMyMind · 31,017 Telegram ranks this channel #19 of 85 here — alongside 84 others — read 6 September 2026
Работа в Сербии | Rabota v Serbii @rabotavserbii · 47,169 Telegram ranks this channel #25 of 86 here — alongside 85 others — read 1 September 2026
Сербия — LIVE 🇷🇸 |⚡️Новости @Serbia · 43,450 Telegram ranks this channel #54 of 84 here — alongside 83 others — read 1 September 2026
IT Работа: Сербия и удаленка LENKEP 🔥 @youritjob · 37,130 Telegram ranks this channel #83 of 86 here — alongside 85 others — read 1 September 2026
This channel appears in 4 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Сербия Шопинг | стиль и гардероб” (@serbia_shopping), 2,797 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/serbia_shopping.
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.