Nikolskaya pinned a photo

Channel
Nikolskaya
@nikolskaya_life
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
24,106subscribers
+238 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001840680280 |
|---|---|
| Type | Channel |
| Username | @nikolskaya_life |
| Description | Юлия Никольская • про жизнь & красоту 📍Москва 💌 Сотрудничество [связь с автором] @Nikolskaya_pr 💌 По рекламе [менеджер] @elizavetta_tov мой канал в вк: https://vk.ru/im/channels/-236792492 Ркн https://gosuslugi.ru/snet/6746a6b49d804a279beafed8 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/nikolskaya_life |
Topic
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 96% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 01:01 | 24,106 | -361 |
| 15 Sept 2026, 22:17 | 24,467 | -967 |
| 14 Sept 2026, 02:37 | 25,434 | -639 |
| 12 Sept 2026, 07:18 | 26,073 | -522 |
| 10 Sept 2026, 04:19 | 26,595 | -732 |
| 6 Sept 2026, 18:39 | 27,327 | -510 |
| 4 Sept 2026, 09:21 | 27,837 | -220 |
| 2 Sept 2026, 21:53 | 28,057 | -181 |
| 1 Sept 2026, 17:35 | 28,238 | -328 |
| 31 Aug 2026, 20:23 | 28,566 | -321 |
| 30 Aug 2026, 22:15 | 28,887 | -483 |
| 29 Aug 2026, 18:44 | 29,370 | -331 |
| 28 Aug 2026, 15:11 | 29,701 | -208 |
| 27 Aug 2026, 17:57 | 29,909 | -475 |
| 26 Aug 2026, 15:55 | 30,384 | +1,336 |
| 25 Aug 2026, 16:22 | 29,048 | +1,188 |
| 24 Aug 2026, 17:23 | 27,860 | -346 |
| 23 Aug 2026, 04:18 | 28,206 | -287 |
| 21 Aug 2026, 16:24 | 28,493 | -267 |
| 20 Aug 2026, 16:18 | 28,760 | first reading |
Engagement
27 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 71 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.9%
- avg views ÷ 24,106 subscribers
- Avg views / post
- 2,870
- 7 posts measured
- Reaction rate
- 4.97%
- reactions ÷ views · ER floor
- Posts in window
- 8
- of 27 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.
| Window | Rolling 30 days · latest post in window 25 September 2026 |
|---|---|
| Posts held | 27 (4 August 2026 – 25 September 2026) |
| Views total | 20,101 |
| Reactions total | 1,000 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 12:41 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
- ≈5,750
- Videos
- ≈125
- Links
- ≈214
Lifetime counters from Telegram’s own channel header, read 27 September 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.
Reaction mix
4,429 reactions across 26 posts, in 7 distinct kinds. The most used accounts for 24.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,089 | 24.6% | |
| 💘 | 995 | 22.5% | |
| 😍 | 919 | 20.7% | |
| 🔥 | 775 | 17.5% | |
| ❤🔥 | 448 | 10.1% | |
| 🥰 | 105 | 2.37% | |
| 💋 | 98 | 2.21% |
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 26 of the 27 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 4,429 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 4 August 2026 to 25 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.
Telegram Stars
- Stars received
- 7
- across the posts below
- Posts paid on
- 4
- of 26 we hold a reading for · 15%
- Most on one post
- 3
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nikolskaya_life. 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 27 most recent posts we hold for this entry, published 4 August 2026 to 25 September 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.
Recent posts
— касаемо долгосрочного проживания в другой стране, одним из главных вопросов был поиск бьюти пространств с качеством выполнения процедур не хуже, чем в Москве 💭 мне повезло найти свой салон с первого раза! Evo — место с русскоговорящим персоналом, где мне сделали один из самых чистых и аккуратных маникюров на моей памяти (: loc. 94 Hùng Vương, Nha Trang
💘69❤32❤🔥18💋12😍3
— бьюти фаворит последнего времени — сухое шёлковое масло для тела от бренда SMORODINA 🛁 в его составе нет силиконов (что редкость для масел), поэтому ощущение гладкости и напитанности на коже сохраняется надолго, а не исчезает после первого душа! при этом масло мгновенно впитывается и не оставляет следов на одежде и постельном белье. что важно, в составе бакучиол: растительный аналог ретинола, который помогает дел…
❤79😍50💘23❤🔥17💋2
— два восстанавливающих средства для волос I'MATE, без которых я не могла уехать 🤩 • после этой маски волосы рассыпчатые и максимально напитанные благодаря протеинам шелка в составе, а из примечательного — её можно использовать еще и как несмываемый экспресс-уход, нанося перед сушкой! 💭 впервые такое встречаю, это вау • несмываемый спрей с эффектом термозащиты снижает потерю влаги при нагревании и предотвращает пер…
🔥82❤66😍27❤🔥12💋3
Video message, posted without a caption
😍66❤44🔥28❤🔥9💋2
— я точно не фанат всяких сладких кофейных напитков, но тут подсела на холодный Вьетнамский спешел — cà phê muối ☕️ напиток из крепкого черного кофе на основе робусты, сгущенного молока и нежной соленой сливочной пенки сверху не сильно приторный и с ярким кофейным вкусом! продается здесь повсюду, но чаще берем в Starbucks или Highlands
💘83❤45😍19🔥12🥰4❤🔥1
— постепенно готовлюсь к утеплению гардероба и делюсь с вами осенними новинками бренда Оксана Утова 🍂 у всех изделий безупречное качество и необычные фасоны, а больше всего мне понравились: плетеная кожаная куртка в цвете горького шоколада и широкие брюки в полоску обязательно заглядывайте познакомиться с коллекцией! онлайн стилисты помогут с выбором 🫂
💘29🔥16❤🔥9💋3
— последняя возможность попробовать 3 яркие новинки в Stars Coffee ☕️ до 2 сентября забегайте насладиться последними айс-напитками: «Фраппе Вишневая Кола», «Фраппе Йогуртовый с Манго» и «Ледяной Чай Виноградныйс Маракуйя»
🔥51💘32❤25❤🔥14😍8🥰5
— место, где я отдыхаю душой 💭 обожаю приезжать в Naturel studio на маникюр и педикюр, ведь здесь безумно приятная и спокойная атмосфера, а процедуры выполняются всегда качественно и быстро! на ногах сняли покрытие перед сезоном закрытой обуви, а на руках сделали оттенок haven, получилось очень нежно в четыре руки всё вместе успели за час — рекорд 🤌🏼
💘84❤50🥰27💋20🔥6
— впервые в ЗЯ вау скидки на самые любимые бренды! до 06.09.2026 на Ultraceuticals, Kevin.Murphy, evo, Oribe и R+Co до -20% только онлайн на сайте Золотого яблока 🦋 такое пропустить точно нельзя, я уже оформила заказ (:
🔥62❤45😍39💘13❤🔥5
— есть ли что-то красивее, чем флагманский магазин level44 на Малой Бронной.. 🍨 безумно понравилась их летняя коллекция с натуральными летящими тканями и силуэтами, подчеркивающими легкость и женственность! теперь ждем осенние новинки
😍74❤48💘22🔥7🥰2
— планы на это утро: pims и бьюти дела в Naturel 💭☕️
🔥88❤🔥42❤30💘20🥰9
Showing the 12 most recent of 27 posts we hold for @nikolskaya_life. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@Tanyatalksabout · 42,514#1
@tatimyrr · 3,321#2
@broilinhades · 37,943#3
@withlovebydariak · 4,568#4
@makdearup · 32,842#5
@mur0mibeauty · 2,506#6
@kulturnoeob · 3,837#7
@dashamatveevaaa · 28,695#8
@silkina_vlada · 3,061#9
@anstyysya · 5,153#10
@monnalisaaaaaa · 48,467#11
@kseniaspasdiary08 · 16,616#12
@rimurina · 7,598#13
@divaddii · 30,419#14
@pogorelife · 17,657#15
@mashkinblo9 · 1,266#16
@kkkverl_beauty · 4,100#17
@dashaday365 · 11,348#18
@bikshaevaneset · 21,953#19
@olyaulanova1 · 7,875#20
@janezett · 7,196#21
@alinaatatik · 17,548#22
@beautyholic_neizlechima · 6,753#23
@LIFEWITHANYA · 36,184#24
@veronicasdiaryy · 11,749#25
@vpredelakhcozy · 3,096#26
@polenukk · 36,529#27
@esthetikatyl · 28,025#28
@yulechkatgm · 9,851#29
@anlovafit · 15,662#30
@ksssssssu1 · 10,664#31
@kistochkalife · 27,945#32
@glam_diary · 9,040#33
@MyTopBB · 19,735#34
@sofikshenzdes · 14,025#35
@Anya_abouteverything · 23,131#36
@uniyatdasha · 7,921#37
@NechaevaBlog · 47,833#38
@beauty_obsesion · 33,053#39
@beautyrou · 2,161#40
@devchachiycartel · 11,021#41
@lisabeta11 · 15,989#42
@alice_blogby · 18,563#43
@beautyelechka · 26,160#44
@kseny_patches · 33,804#45
@myyyyyrkaaa · 9,624#46
@shoko_barokko · 1,140#47
@larakrasnikova_style · 30,666#48
@byssofy · 3,154#49
@sofia_molz · 46,742#50
@bykarinako · 17,129#51
@valerevara · 19,945#52
@beautykultt · 12,212#53
@nodaywithoutbeauty · 29,987#54
@mskrylova · 5,501#55
@mezhdy_devochkami · 11,880#56
@dashulixxxxxxxxxx · 1,095#57
@Ole_sonnn · 7,398#58
@leinsspiration · 12,865#59
@babyanzh · 10,795#60
@writeforfriends · 28,892#61
@xrisnikonova · 5,108#62
@mmaattkkaa · 7,054#63
@byvioletzhu · 1,602#64
@moonstonealbina · 11,044#65
@darinaS20022 · 21,695#66
@beautybeaute · 4,765#67
@bukofa_v · 9,373#68
@lesanastasi · 2,517#69
@leya_leyaaa · 32,661#70
@shapovalovee · 1,762#71
@Iinprivet · 17,819#72
Read from Telegram’s recommendation API, most recently 13 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
@bikshaevaneset · 21,953
Telegram ranks this channel #2 of 80 here — alongside 79 others — read 25 September 2026
@makdearup · 32,842
Telegram ranks this channel #5 of 72 here — alongside 71 others — read 5 September 2026
@keynece · 37,603
Telegram ranks this channel #10 of 50 here — alongside 49 others — read 31 August 2026
@NechaevaBlog · 47,833
Telegram ranks this channel #14 of 81 here — alongside 80 others — read 25 August 2026
@pourmeteea · 52,699
Telegram ranks this channel #15 of 66 here — alongside 65 others — read 31 August 2026
@beautyelechka · 26,160
Telegram ranks this channel #18 of 70 here — alongside 69 others — read 13 September 2026
@Tanyatalksabout · 42,514
Telegram ranks this channel #19 of 71 here — alongside 70 others — read 26 August 2026
@CharliesAngelsZ · 49,290
Telegram ranks this channel #20 of 67 here — alongside 66 others — read 19 September 2026
@mama1714 · 36,939
Telegram ranks this channel #20 of 58 here — alongside 57 others — read 4 September 2026
@milovidnayanna · 22,352
Telegram ranks this channel #21 of 77 here — alongside 76 others — read 17 September 2026
@yyulias4 · 32,269
Telegram ranks this channel #23 of 77 here — alongside 76 others — read 6 September 2026
@beauty_obsesion · 33,053
Telegram ranks this channel #24 of 77 here — alongside 76 others — read 4 September 2026
@broilinhades · 37,943
Telegram ranks this channel #24 of 65 here — alongside 64 others — read 30 August 2026
@nastyaabeautyy · 31,004
Telegram ranks this channel #26 of 81 here — alongside 80 others — read 6 September 2026
@innamakeru · 59,200
Telegram ranks this channel #31 of 76 here — alongside 75 others — read 22 August 2026
@kistochkalife · 27,945
Telegram ranks this channel #33 of 70 here — alongside 69 others — read 16 September 2026
@kseny_patches · 33,804
Telegram ranks this channel #43 of 78 here — alongside 77 others — read 1 September 2026
@hotelsnight · 32,852
Telegram ranks this channel #44 of 79 here — alongside 78 others — read 4 September 2026
@larakrasnikova_style · 30,666
Telegram ranks this channel #45 of 73 here — alongside 72 others — read 6 September 2026
@alex_samohvalova_blog · 31,878
Telegram ranks this channel #46 of 78 here — alongside 77 others — read 6 September 2026
@mmilany · 21,797
Telegram ranks this channel #48 of 68 here — alongside 67 others — read 24 September 2026
@polenukk · 36,529
Telegram ranks this channel #51 of 76 here — alongside 75 others — read 29 August 2026
@beautygirlszz · 20,883
Telegram ranks this channel #59 of 72 here — alongside 71 others — read 25 September 2026
@tatyilina · 31,791
Telegram ranks this channel #60 of 80 here — alongside 79 others — read 5 September 2026
This channel appears in 36 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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.
“Nikolskaya” (@nikolskaya_life), 24,106 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/nikolskaya_life.
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.