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 65% 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
32 measurements spanning 42 days, net -36. 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 16,922–17,808 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 06:56
17,670
+303
15 Sept 2026, 22:41
17,367
+343
14 Sept 2026, 07:01
17,024
-22
12 Sept 2026, 16:20
17,046
-18
10 Sept 2026, 15:41
17,064
-32
7 Sept 2026, 09:39
17,096
-25
4 Sept 2026, 14:58
17,121
-31
3 Sept 2026, 02:25
17,152
-21
2 Sept 2026, 00:27
17,173
-8
31 Aug 2026, 23:36
17,181
-35
30 Aug 2026, 22:37
17,216
-10
30 Aug 2026, 00:55
17,226
-14
28 Aug 2026, 23:28
17,240
-10
28 Aug 2026, 02:15
17,250
-19
27 Aug 2026, 03:15
17,269
-18
26 Aug 2026, 02:44
17,287
-12
25 Aug 2026, 03:52
17,299
-23
23 Aug 2026, 22:06
17,322
-56
22 Aug 2026, 04:38
17,378
-26
20 Aug 2026, 20:03
17,404
first reading
Engagement
37 posts held, back to 5 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 55 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.57%
avg views ÷ 17,670 subscribers
Avg views / post
808
8 posts measured
Reaction rate
3.56%
reactions ÷ views · ER floor
Posts in window
8
of 37 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 2 September 2026
Posts held
37 (5 August 2026 – 2 September 2026)
Views total
6,466
Reactions total
230
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:29 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
16s
Average length
16s
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
1,159 reactions across 37 posts, in 14 distinct kinds. The most used accounts for 25.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
295
25.5%
🥰
225
19.4%
😍
196
16.9%
🤩
126
10.9%
❤🔥
101
8.71%
💘
76
6.56%
🔥
51
4.40%
⚡
44
3.80%
🙏
20
1.73%
💔
11
0.949%
👏
7
0.604%
💯
4
0.345%
🏆
2
0.173%
👌
1
0.086%
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 37 of the 37 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 1,159 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 5 August 2026 to 2 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.
на красивой коллаборации L’Occitane и Avero Mio💛
тут как всегда щедрые подарки: при заказе вкусного сета десерт + б/а коктейль, в подарок идет набор миниатюр
и кастомизировали еще сегодня с девочками легендарный крем карите для рук акриловыми красками🎨🌺
пересобираю свой осенний гардероб, хочется новых красивых образов🍂🍁
случайно зашла в O’STIN, а тут такая cтильная офисная коллекция! [ спойлер: и не только офисная ]
• находка этого дня — юбка миди из эко кожи, идеальная посадка + красивый разрез спереди; нравится сочетать кожу с разными фактурами, очень красиво смотрится с бархатной жилеткой
• а еще тут всегда можно найти идеально сидящие джинсы! я ушла с прямыми к…
сотрудничество сентябрь 💻
⏺ лекция по многоканальности [ как вести Instagram, Telegram, Youtube, Vk, Tiktok, Threads и Pinterest ]
⏺ консультация/сопровождение по развитию блога в Телеграм/Instagram*
📝 бесплатная статья по развитию блога
реклама:
⏺сотрудничество с брендами в Тг канале / Instagram*
⏺ реклама личных блогов [ просьба сразу прикреплять ссылку ]
💌 по всем вопросам: @a_aristovaa
*Meta признана экстремист…
🥗 завтраки августа были такие:
• роти с креветками и лисичками
• воздушная запеканка
• творожные вафли с персиками
• кабачковая лепешка с лисичками
• скрэмбл с лисичками
• панкейки с ягодами / инжиром
• сырная роти с лисичками
а заодно и оставляю завтраки лета, которое безумно быстро пролетело🥹
завтраки июня >>> тут
завтраки июля >>> тут
💌 и в последнее время неожиданно было много вопросов про сборник с завтраками,…
Oribeмания во всей красе💔
— для меня это самый эстетичный бренд для волос! мои любимые средства, без которых я не представляю свой уход:
❤️лак superfine hair spray и текстурирующий спрей dry texturizing spray
❤️крем для блеска-термощащита supershine moisturizing cream
❤️для объема: спрей maximista и мусс grandiose hair plumping mousse
❤️шампунь и кондиционер gold lust и шампунь для объема magnificent volume
❤️крем дл…
⚡️бесплатных дней у нас снова 0
онлайн в ЗЯ такие классные скидки на Ultraceuticals, Kevin Murphy, Evo, Oribe и R+Co
до 06.09
мой wishlist выглядит так:
• крем для тела Oribe с любимым ароматом
• лучшая линейка для моих волос Oribe gold lust
• лак для волос Kevin Murphy
• любимые спреи для объема Evo и R+Co
• спрей для уплотнения волос Kevin Murphy
большой пост, что купить у Ultraceuticals, был тут
теперь открываю сезон инжира, а это признак приближающейся осени🥞🍂
— на завтрак панкейки с кленовым сиропом
осенний декор уже тоже достала, дома настоящий уют
🖇️здесь был большой пост с завтраками
🍁🍂сдаюсь погоде за окном, теперь дома у меня тоже царит волшебная осенняя атмосфера
— впервые сегодня была на Рижском рынке, и купила эти красивые георгины всего за 3400₽ - 21 шт!
Самокат привезли целых два пакета лимитированных продуктов в честь 90-летия Союзмультфильма😻
— это так мило! сразу переносит в детство
⏺на завтрак разогрела оладьи [ посмотрите какие пышные ] + смешала топпинги со сгущеным молоком/какао и крем-брюле
⏺и очень вкусные получились сэндвич-роллы с курицей ананасом/манго
🌱какая классная рассылка от Thim с новинками бренда: гидрофильное масло +
паста- маска для очищения пор
обожаю их декоративку и уход! особенно двухфазное средство для снятия макияжа и спрей-сыворотку🤍
давно я не ела такую вкусную грузинскую кухню🤌🏻
— открыли для себя новое место – Veriko: красивый дорогой интерьер и блюда в авторской интерпритации
что точно нужно брать:
• хачапури с трюфелем
• шашлык из свинины
• салат с хрустящими баклажанами
• салат с ростбифом
• чизкей пеламули
• очень вкусный авторский беллини и гречишный чай с абрикосом
#AA_Rest
🥰21❤11🤩5😍3
Showing the 12 most recent of 37 posts we hold for @AristovaAnastasia. 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.
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 2 registered channels — 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.
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.
YANSIKK @yansikk · 37,492 Telegram ranks this channel #1 of 80 here — alongside 79 others — read 31 August 2026
Pavlychenkoann 💔 @milovidnayanna · 22,352 Telegram ranks this channel #2 of 77 here — alongside 76 others — read 17 September 2026
BY KAORI | Юлия Вельчева-Лутак @BY_KAORI · 31,730 Telegram ranks this channel #2 of 64 here — alongside 63 others — read 15 September 2026
by Ancho 🪐 @varichevaa · 20,198 Telegram ranks this channel #3 of 77 here — alongside 76 others — read 23 September 2026
by p.llna @pllnnaa · 35,451 Telegram ranks this channel #3 of 77 here — alongside 76 others — read 2 September 2026
SOFIA 💌 @sofia_molz · 46,742 Telegram ranks this channel #3 of 82 here — alongside 81 others — read 25 August 2026
By Anakossh @anakossssh · 23,417 Telegram ranks this channel #4 of 76 here — alongside 75 others — read 18 September 2026
Хэлфи Клуб @healthy_clubbyLiza · 34,056 Telegram ranks this channel #4 of 70 here — alongside 69 others — read 31 August 2026
Tanya talks about... @Tanyatalksabout · 42,514 Telegram ranks this channel #4 of 71 here — alongside 70 others — read 26 August 2026
khvankris @khvankriss · 22,884 Telegram ranks this channel #8 of 70 here — alongside 69 others — read 19 September 2026
бесконечный вишлист Софи @sophiaganzburg · 40,437 Telegram ranks this channel #11 of 75 here — alongside 74 others — read 27 August 2026
Sogoyasha @sogoyasha · 24,266 Telegram ranks this channel #12 of 68 here — alongside 67 others — read 16 September 2026
Territory for girls🧚🏻♂️ @diana_mood7 · 38,297 Telegram ranks this channel #13 of 61 here — alongside 60 others — read 7 September 2026
Лоск от Индиры 💖 @indiiiiira111 · 29,146 Telegram ranks this channel #17 of 64 here — alongside 63 others — read 8 September 2026
KSENY LAPSHINA @kseny_patches · 33,804 Telegram ranks this channel #18 of 78 here — alongside 77 others — read 1 September 2026
Poydemsomnoy🕊 @polenukk · 36,529 Telegram ranks this channel #18 of 76 here — alongside 75 others — read 29 August 2026
Beauty_obsession💄 @beauty_obsesion · 33,053 Telegram ranks this channel #23 of 77 here — alongside 76 others — read 4 September 2026
ЗОЖ это П @selinajuli · 45,484 Telegram ranks this channel #24 of 85 here — alongside 84 others — read 18 September 2026
agdedana? @agdedana · 27,160 Telegram ranks this channel #26 of 78 here — alongside 77 others — read 6 September 2026
Реалии Аполлинарии @ba_polly · 24,775 Telegram ranks this channel #28 of 77 here — alongside 76 others — read 11 September 2026
Виктория Янчевская | дневник мыслей @viktoria_dnevnik · 22,857 Telegram ranks this channel #30 of 78 here — alongside 77 others — read 19 September 2026
ALENA YANCHEVSKAYA @alenayanchevskaya · 133,701 Telegram ranks this channel #30 of 79 here — alongside 78 others — read 13 August 2026
Eireen Sh. 💌 @witheireen · 49,986 Telegram ranks this channel #33 of 76 here — alongside 75 others — read 30 August 2026
PILETSKAYA @piletskayabeauty · 97,153 Telegram ranks this channel #33 of 71 here — alongside 70 others — read 16 August 2026
This channel appears in 42 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.
“Inspired by Nastya✨” (@AristovaAnastasia), 17,670 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/AristovaAnastasia.
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.