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 99% 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
53 measurements spanning 88 days, net -288. 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 15,570–15,944 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)
Subscribers
Change
3 Nov 2026, 07:30
15,613
-1
2 Nov 2026, 06:46
15,614
-5
31 Oct 2026, 07:04
15,619
-5
30 Oct 2026, 04:11
15,624
-6
29 Oct 2026, 06:10
15,630
-6
28 Oct 2026, 01:46
15,636
-4
27 Oct 2026, 02:56
15,640
-3
25 Oct 2026, 23:48
15,643
-3
25 Oct 2026, 00:57
15,646
-3
23 Oct 2026, 21:28
15,649
+1
22 Oct 2026, 19:57
15,648
+1
21 Oct 2026, 17:17
15,647
-2
20 Oct 2026, 12:31
15,649
-6
19 Oct 2026, 15:40
15,655
-5
18 Oct 2026, 17:38
15,660
-3
17 Oct 2026, 16:02
15,663
+2
16 Oct 2026, 19:10
15,661
-3
15 Oct 2026, 17:39
15,664
-4
14 Oct 2026, 19:48
15,668
-7
13 Oct 2026, 09:26
15,675
first reading
Engagement
22 posts held, back to 22 April 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 55 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.2%
avg views ÷ 15,613 subscribers
Avg views / post
2,840
6 posts measured
Reaction rate
0.98%
reactions ÷ views · ER floor
Posts in window
6
of 22 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 24 October 2026
Posts held
22 (22 April 2026 – 24 October 2026)
Views total
17,040
Reactions total
167
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Nov 2026, 04:02 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
2m 50s
Average length
17s
Measured directly from 10 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
721 reactions across 21 posts, in 12 distinct kinds. The most used accounts for 40.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
290
40.2%
❤
158
21.9%
❤🔥
96
13.3%
👍
81
11.2%
💔
33
4.58%
😍
22
3.05%
🤔
12
1.66%
😁
11
1.53%
🥰
9
1.25%
👏
5
0.693%
🎉
3
0.416%
💘
1
0.139%
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 21 of the 22 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 721 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 22 April 2026 to 24 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.
Несколько дней мучений и доработок — и я всё же сделал бумажник со сменными модулями.
Буду ли я добавлять его в каталог? Нет.
К сожалению, эта модель потребовала огромного объёма работы. Во многих деталях установлен пластиковый элемент для придания жёсткости, а на защипе сменных модулей пластик пришлось нагревать, чтобы согнуть и задать необходимый угол.
К тому же каждую деталь сменного модуля нужно обтягивать дор…
Сейчас работаю над созданием бумажника.
Правая часть будет со съемными модулями. Захотели зацепили еще 2 отдела для карт, а если нужна мелочь, то установили модуль с отделом для монет
Постепенно обновляю каталог. На этот раз — новая модель картхолдера.
Кожа мягкая, поэтому конструкцию дополнительно уплотнили для жёсткости. С лицевой стороны расположены два отделения для карт, с задней — фигурный карман. Изначально он рассчитан на несколько сложенных купюр, но также подходит для хранения карт.
Этот карман мы уплотнили отдельно: внутрь вшит пластиковый элемент, который придаёт ему жёсткость и плот…
Сделал такую обложку на паспорт для нашего клиента из Tempesti Babele
Спасибо вам за то, что выбираете этот материал для своих заказов
Я действительно рад, что наши вкусы совпали: кожа необычная, и её стоит хотя бы раз подержать в руках — фотографии не передают всех тактильных ощущений.
А знакомство с ней необязательно начинать с большого изделия. Можно начать с малого — например, с такой обложки на паспорт или ка…
Кожа как лён. Теперь в цвете.
После первого портмоне из Tempesti Babele я понял, что хочу продолжить работать с этим материалом.
Поэтому собрал палитру оттенков, которые особенно понравились:
Chocolate Linen
Storm Linen
Pine Linen
Honey Linen
Rust Linen
Graphite Linen
Если какой-то уже приглянулся — пишите. С удовольствием сделаю изделие в вашем оттенке.
Я будто бы вернулся на несколько лет назад, в самое начало своего пути.
Тогда я не думал, что у меня будет целая команда и производство с отправкой изделий по всему миру!
Теперь я счастлив, что могу начать все сначала и в этот раз уже транслировать весь свой путь
Showing the 12 most recent of 22 posts we hold for @comrademe. 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.
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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“Comrade изделия из кожи” (@comrademe), 15,613 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/comrademe.
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.