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 15 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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
8 measurements spanning 30 days, net +147. 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 2,464–2,655 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 06:18
2,633
+21
15 Sept 2026, 01:18
2,612
+79
11 Sept 2026, 13:16
2,533
+29
7 Sept 2026, 05:19
2,504
+3
2 Sept 2026, 22:35
2,501
+6
24 Aug 2026, 10:13
2,495
+9
20 Aug 2026, 00:00
2,486
no change
19 Aug 2026, 23:45
2,486
first reading
Engagement
11 posts held, back to 25 March 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 10 May 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 53s
Average length
2m 53s
Measured directly from 1 video 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
288 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 65.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
189
65.6%
custom 5253952352674668987
63
21.9%
🥰
19
6.60%
😁
16
5.56%
🙏
1
0.347%
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 11 of the 11 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 288 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 25 March 2026 to 10 May 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.
девочки, я вас научить заказам не смогу, поскольку сама ещё новичок в этой теме, пишите Регине ♥️♥️ она меня обучала, за пару дней Регина мне все объяснила и мы с ней сразу же сделали заказ
это лучшее вложение!! честно, я в шоке с цен и качества вещей… глядишь так и на квартиру накоплю с такой экономией 😂
save your money 💳🔐
делюсь с вами долгожданной распаковкой товаров из Китая. заказывала на таобао, пришло примерно за 3 недели. общая сумма 11 вещей с учетом доставки — 16400₽ 🌟 (цена одной куртки в лайме… 😂) смотрим!!
• набор декора
• поднос
• джемпер серый
• водолазка
• вязаный топ
• носки 5 пар
• фиксатор Charlotte
• футболка белая
• очки прозрачные
• очки солнечные
• куртка парка
• джемпер мужской
с праздником светлой Пасхи, друзья! 🤍🕯️
мира, любви и добра вашему дому 🫂 ночью мы с мужем ходили на службу в церковь, освятили куличи и вернулись домой только в 3 часу ночи
Христос Воскресе!
💘 У тебя новое сообщение!
Сколько Вам лет? 35? Как сохраняете молодость и что делаете из процедур для лица?
АХАХАХ, извинитеСЬ 🤣
ваш комплимент зашел не туда, мне 24) думаю наверно дальше продолжать не стоит, раз вы мне 10 лет прибавили 🤣🤣
💗 У тебя новое сообщение!
Как думаете, почему ведения блога у казанских девушек, женщин одинаковый? Не цепляют. Очень редко, кто цепляет
честно, не знаю, не замечала. (если речь идет про крупных блогеров) у каждого своя жизнь, свои истории, свои мысли. у крупных блогеров я такого не встречала, только если у мелких))
если речь идет про оформление, то у некоторых девушек просто один рилсмейкер, но при этом каждая го…
я и импульсивные покупки 🫱🏻🫲🏼
пока гуляла, решила зайти посмотреть очки… ну а дальше все как в тумане 🌟
ваши ставки, какие забрала?
❤️ — первые
🤍 — вторые
custom 525395235267466898763❤22
Showing the 11 most recent of 11 posts we hold for @nevolikk. 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.
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.
Камила Цейтлина @kamilatseitlina · 50,740 Telegram ranks this channel #7 of 76 here — alongside 75 others — read 25 August 2026
аляскалар @alaskalar · 71,257 Telegram ranks this channel #17 of 61 here — alongside 60 others — read 19 August 2026
YANA MARGARYAN @yanamargaryan · 24,021 Telegram ranks this channel #23 of 50 here — alongside 49 others — read 17 September 2026
Diana Nonskaya @diananonskaya · 32,509 Telegram ranks this channel #49 of 64 here — alongside 63 others — read 4 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“nevolik” (@nevolikk), 2,633 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/nevolikk.
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.