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Telegram profile photo for YUNA / Юния Пугачева

Channel

YUNA / Юния Пугачева

@yunapugacheva

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

28,158subscribers

-194 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001669794395
TypeChannel
Username@yunapugacheva
DescriptionПо всем вопросам коммерческого сотрудничества: @helen_095 Канал о прогрессивном материнстве https://t.me/yunamotherofdragon Instagram: @yuna.pugacheva Регистрация РНК: https://gosuslugi.ru/snet/67b735771bca1d7fe17da6bf
Created11 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/yunapugacheva

Topic

Memes & entertainment — 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 57% 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

28,13628,39628,26628,1586 August 20267 November 2026
62 measurements spanning 93 days, net -194. 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 28,097–28,435 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
7 Nov 2026, 07:5528,158-6
6 Nov 2026, 09:3828,164-3
5 Nov 2026, 09:1628,167+14
4 Nov 2026, 08:2928,153+12
3 Nov 2026, 04:5928,141+4
2 Nov 2026, 06:1128,137-6
1 Nov 2026, 02:3028,143+2
31 Oct 2026, 03:3928,141+5
30 Oct 2026, 01:5028,136-6
28 Oct 2026, 23:0028,142-7
27 Oct 2026, 20:4128,149-21
26 Oct 2026, 22:4028,170+4
25 Oct 2026, 20:3728,166+4
24 Oct 2026, 18:4528,162-4
23 Oct 2026, 17:4728,166-7
22 Oct 2026, 14:4628,173-11
21 Oct 2026, 07:1628,184-11
20 Oct 2026, 06:5028,195-1
19 Oct 2026, 09:5628,196+1
18 Oct 2026, 12:2828,195first reading

Engagement

56 posts held, back to 2 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 148 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
35.5%
avg views ÷ 28,158 subscribers
Avg views / post
10,000
13 posts measured
Reaction rate
3.20%
reactions ÷ views · ER floor
Posts in window
13
of 56 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
WindowRolling 30 days · latest post in window 6 November 2026
Posts held56 (2 August 2026 – 6 November 2026)
Views total129,940
Reactions total4,157
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 14:15 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
≈1,780
Videos
≈385
Links
≈439

Lifetime counters from Telegram’s own channel header, read 7 November 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.

Video runtime
12m 18s
Average length
53s

Measured directly from 14 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

17,532 reactions across 56 posts, in 25 distinct kinds. The most used accounts for 45.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7,94745.3%
🤣3,68921.0%
🔥2,04011.6%
😁9355.33%
👍5022.86%
😢4532.58%
👏3141.79%
😱2921.67%
🤯2721.55%
🤡2251.28%
💯2201.25%
🎉1650.941%
❤‍🔥1370.781%
🤔800.456%
👎710.405%
🥴490.279%
🕊260.148%
🥱240.137%
👌220.125%
😍190.108%
5 further kinds500.285%

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 56 of the 56 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 17,532 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 56 most recent posts we hold, published 2 August 2026 to 6 November 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
77
across the posts below
Posts paid on
13
of 56 we hold a reading for · 23%
Most on one post
50
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @yunapugacheva. 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 56 most recent posts we hold for this entry, published 2 August 2026 to 6 November 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.

Advertising

Ad load
1.79%
1 of 56 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
6,640
over 1 measured post
Median views · rest
9,680
over 55 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Measured over the 56 most recent posts we hold, published 2 August 2026 to 6 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 5 of 13 posts held from the last 30 days (38.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 16:45 UTC≈4,000 views285 reactionsread 7 November 2026
Photo

За $22.49 за дюжину яиц хотелось бы все-таки познакомиться с курицей. Узнать, где училась, чем занимается, кто родители. Люблю самый прогрессивный супермаркет Erewhon за то, что бережно сохраняет во мне способность ахнуть.

🤣197❤44😁32😱8🕊4

4 Nov 2026, 17:23 UTC≈5,810 views310 reactionsread 7 November 2026
Photo

Тренировки и ретриты для мозга за 36 тысяч долларов — это ровно то, чего нам не хватало. Самая дичайшая роскошь. Новый велнес-тренд, который захватывает мир, называется здоровьем мозга. Тело мы уже измерили целиком, от глюкозы до микробиома, и МРТ всего тела давно лежит в заметках телефона рядом с вишлистом на Новый год. Первыми, как водится, начали Кардашьяны. В 2022 году Кендалл отвезла Хлои на сканирование мозга,…

❤163🤣99🔥32😁10🥱3😱2🎉1

3 Nov 2026, 15:45 UTC≈7,140 views311 reactionsread 7 November 2026
Photo

В Беверли-Хиллз можно за ужином признаться в разводе, в ботоксе, в том, что дом куплен в ипотеку. Есть одна тема, которую не трогают даже после третьего бокала: как учится ребенок. Успеваемость и школа, в которую его взяли, здесь такой же статус, как Гелендваген, обязательная униформа нашего района. Признаться, что дети с трудом тянут седьмой класс в элитнейшей Harvard-Westlake, нельзя. У многих при этом есть секрет…

❤205🔥61🤣31🤔8🤩4😱2

1 Nov 2026, 03:16 UTC≈8,720 views306 reactionsread 7 November 2026
Photo

Королева Хэллоуина Хайди Клум раскрыла свой костюм: гигантская отрубленная рука. Скопирована она с ее настоящей левой, вместе с обручальным кольцом от мужа Тома Каулитца. За превращение, как всегда, отвечал Майк Марино, главный голливудский мастер пластического грима и единственный пластический специалист в Лос-Анджелесе, к которому Хайди ходит открыто. Готовили костюм с мая, и Марино называет его самым сложным за в…

🔥188🤣49❤42🤯15😱5🤡4🌚3

29 Oct 2026, 05:11 UTC≈18,800 views282 reactionsread 7 November 2026
Photo

Новое помешательство корейской бьюти-индустрии сделано из кожи мертвых американцев. Речь о скинбустере Re2O — Return to Your 20s — «Вернись в свои двадцать». Кожу человеческого донора замораживают, сушат, мелют в порошок и очищают от клеток вместе с ДНК. Остается внеклеточный матрикс — та самая арматура, на которой когда-то держалось чужое лицо. Порошок разводят физраствором и прошивают уколами лицо, как швейной маши…

🤯151❤69😁23😱15🤡8🤣7👎5🌚4

27 Oct 2026, 19:33 UTC≈10,300 views175 reactionsread 7 November 2026
Video

Пептиды в Лос-Анджелесе давно стали чем-то вроде модного смузи: их колют по совету подруги или тренера и лишних вопросов про составы не задают. Пептиды обещают буквально все: размер xs, идеальную кожу, густую шевелюру и даже высокое либидо. Я пытала одного из лучших пластических хирургов Андрея Искорнева: что, зачем и кому надо колоть? Новый выпуск beauty-рубрики уже на YouTube. Что внутри: — Пептиды против экзосом.…

❤109🔥43👏18🥱3🤡1😢1

27 Oct 2026, 05:11 UTC≈10,100 views301 reactionsread 7 November 2026
Photo

В Лос-Анджелесе ферритиновый дефицит: во всех супермаркетах сметают банки с железом. Я постояла перед пустой полкой, как перед инсталляцией на Frieze, и пошла домой разбираться. Ферритиновое лицо — что делать? TikTok, Reddit, Instagram, Vogue и Washington Post призывают проверить себя. Тусклая кожа, круги под глазами, сухие губы, редеющий пробор, общий вид уставшего человека. В сентябре гематологи пересмотрели диагн…

❤194🤣72🔥30👍4👎1

27 Oct 2026, 00:00 UTC≈9,120 views240 reactionsread 7 November 2026
Photo

В Лос-Анджелесе смерть считается временным недоразумением, которое вот-вот устранит искусственный интеллект. У spiritual crowd на этот случай есть план Б — привыкание к смерти. Нет, речь не о психоделических трипах, после которых к смерти привыкаешь не настолько, чтобы захотелось повторить. Теперь по понедельникам в светском календаре перед ужином стоит пункт: «Смириться с неизбежным». На кладбище Hollywood Forever,…

❤106❤‍🔥58🤣41🔥12😁12🤡10🎉1

23 Oct 2026, 17:14 UTC≈11,200 views364 reactionsread 7 November 2026
Photo

«Доктор, я хочу выглядеть как моя фотография, которую создал AI». Мой друг, пластический хирург Андрей Искорнев, рапортует из Хьюстона, где только что прошел один из самых авторитетных конгрессов пластических хирургов в мире. У индустрии красоты на повестке три главные задачи: воплотить в жизнь лицо, придуманное AI, вернуть жир туда, откуда его забрал «Оземпик», и сделать талию уже, не удаляя ребра. Еще немного, и че…

❤249🔥57🤣35😱12👍9😁2

22 Oct 2026, 07:32 UTC≈9,850 views302 reactionsread 7 November 2026
Photo

«Добро пожаловать на Землю, пришельцы!» — так в соцсетях встретили фотографию Барберы Торнхилл, 78-летней филантропки. 20 миллионов просмотров, тысячи насмешек и предложений сменить хирурга. В Америке республиканкам не прощают даже пластику. Еще недавно объектом травли была Сьюзан Делл, жена основателя Dell, миллиардера Майкла Делла, теперь все переключились на Торнхилл. Дональд Трамп назначил ее послом по особым пор…

❤171😱42🤣36🔥21🤡12😁10👍8🥰2

21 Oct 2026, 05:02 UTC≈10,600 views550 reactionsread 7 November 2026

«Раньше мне казалось, напялишь самую модную, самую крутую вещь и мгновенно преобразишься. Это так не работает». С упоением читаю интервью Карины Добротворской о ее новой книге «В чем я была?» — его для The Blueprint взяла Ксения Соловьева. Две мои любимые женщины русского глянца. Когда-то я ждала, что Карина скажет о моем материале. Теперь мне интереснее, что она расскажет о себе. Я попала в Condé Nast в 2007-м, в с…

❤390🔥79👏36👍21😢13❤‍🔥11

20 Oct 2026, 09:21 UTC≈11,100 views472 reactionsread 7 November 2026
Video

Телефон разрывается. Все обсуждают показ Victoria's Secret, и сильнее всех расстроились мои красивые, ухоженные, вполне благополучные подруги за тридцать, у которых по чек-листу есть все, о чем можно мечтать. Стоило нескольким ангелам пройти по подиуму в кружевных трусах, как у женской половины планеты случился экзистенциальный кризис. Можно иметь роскошную жизнь, прекрасную фигуру и вполне приличную самооценку, пока…

❤318🤣58🔥40💯30😢18👍4🤬4

Showing the 12 most recent of 56 posts we hold for @yunapugacheva. 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.

Posts edited after publishing

@yunapugacheva edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
15 August 2026
Most recent edit
28 August 2026

Forward network

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 13 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.

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.

Мать дракона
@yunamotherofdragon · 3,876
#1
Ксения Соловьёва
@ksenia_solovieva · 51,813
#2
Светский интроверт
@svintrovert · 83,357
#3
🐍МОСКВИЧКА🐍
@glavmoskvichka · 32,627
#4
БП онлайн
@bponline · 111,499
#5
Кристина Потупчик
@krispotupchik · 150,805
#6
FounderWoman
@FounderWoman · 44,861
#7
Антиглянец
@sncmag · 299,955
#8
Героиня Татлера
@tatlersheroine · 102,602
#9
Только никому...
@spletni_tg · 187,079
#10
Стрелец-Молодец
@strelets_molodec · 349,197
#11
БОЖЕНА
@bozhenabozhenabozhena · 67,390
#12
Зинаида Пронченко
@ZinaidaPronchenko · 74,412
#13
Кровавая барыня
@bloodysx · 1,173,265
#14
Бабская курилка
@kureelka · 124,215
#15
СОБЧАК
@ksbchk · 381,498
#16
НЕБОЖЕНА
@imnotbozhena · 503,410
#17
Раньше всех. Ну почти.
@bbbreaking · 1,975,816
#18
Даша Веледеева
@dashaveledeeva · 6,686
#19
Не последние люди в городе
@neposlednielyudi · 57,284
#20
Осторожно, новости
@ostorozhno_novosti · 1,620,397
#21
Mash
@mash · 3,142,546
#22
Marina Golomazdina
@marinagolomazdina · 119,022
#23
Медуза — LIVE
@meduzalive · 1,117,465
#24
KK
@kseniadenisovna · 33,232
#25
Безфильтров
@bezfiltrov_show · 28,858
#26
Osd
@theosdnew · 47,490
#27
ЕЖ
@ejdailyru · 664,706
#28
Бедная Богатая девочка💸
@poorichgirl · 41,637
#29
Отдел стиль жизни
@lifestylewhat · 45,706
#30
НЕПРОЗАМУЖ
@mortalbeauty · 46,465
#31
Дневник Лауры Д
@Lauradjagadiary · 75,564
#32
Copy Me
@copyme · 26,681
#33
Георгиева Снежанна
@marvelous2309 · 37,860
#34
Модные хроники Злой Киски
@zlayakiska · 75,025
#35
Сергей Минаев
@minaevlife · 317,817
#36
Kseniya Shipilova
@shipilovaks · 46,479
#37
Вестник Мракобеса
@nikabelonika · 65,752
#38
Vanity case
@vanity_case · 12,939
#39
Golden Chihuahua
@goldchihuahua · 91,254
#40
canvas chronicles
@canvaschronicles · 9,266
#41
superficial space cadet
@superficialspacecadet · 24,953
#42
V I V A L A V I K A
@Viva_la_vika · 43,166
#43
КОНТЕКСТ
@kontext_channel · 865,494
#44
Мамка блогеров
@bloggers_mama · 20,018
#45
Валенсия
@yana_kushner_valencia · 4,249
#46
Pink Birkin
@pinkbirkin · 13,819
#47
Злой Редактор
@wkola_zloslovia · 9,628
#48
t.d.mood
@tdmood · 21,353
#49
что ношу, куда хожу
@dana_manasir · 27,789
#50
Сорока-барокко
@SorokaBarokko · 18,773
#51
Долецкая-Doletskaya
@alionadol · 75,483
#52
Сторожевая Милова
@milovaeah · 13,963
#53
Ягодное лукошко
@yagodnoelukoshko10 · 7,834
#54
Soroka Diary by Маша Лобанова
@zasorokdiary · 9,674
#55
РБК. Новости. Главное
@rbc_news · 914,343
#56
Тайная жизнь стилиста
@maltsevastyle · 3,958
#57
Лука Ебков
@luka_ebkov · 429,401
#58
Ирена Понарошку
@irena_ponaroshku · 279,419
#59
Миллиарды
@overbillions · 32,065
#60
Бахчисарайские гвоздики
@darkmgimo · 107,636
#61
The Crown 👑
@neprofashion · 24,599
#62
Сотникова пишет
@elenasotnikovaletters · 20,420
#63
Bon Mot
@lebonmot · 36,885
#64
Серьезный подход
@tooseriousnotes · 33,944
#65
Вика, расскажи-ка!
@vika_manasir · 21,541
#66
Каждой твари - кампари
@tvrkmpr · 22,727
#67
Tetyamotya
@tetyamotya · 44,337
#68
Беспощадный пиарщик
@prbezposhady · 151,307
#69
KSUSHA SMO
@styledbysmo · 38,660
#70
Беседы о русской халтуре
@Dialogiorusskoihalture · 9,176
#71
диалектический отказ
@istominakarina · 156,616
#72
Банкста
@banksta · 439,713
#73
Ksu diary
@ksubeauty · 7,722
#74
FILIPCHENKOVA 24/7
@filipchenkova_online · 11,027
#75
Oksana Rim
@oksanarim1 · 35,739
#76
MUR
@fashion_mur · 205,344
#77
Mukhins
@mukhinss · 54,409
#78
Baza
@bazabazon · 1,557,779
#79
Дубайский Спецкор
@dubaispetskor · 9,457
#80
THE STYLE DIRECTOR
@ibragimgatsievv · 13,441
#81
Светские крошки LIVE
@svetskiekroshki · 77,002
#82
Style Tricks
@styletricks · 24,005
#83
Olga Karput 🥬
@okarput · 31,135
#84
Продюсер Kartoz
@kartozz · 124,119
#85
Jewellery Digest
@jeweldigest · 21,438
#86
Солдат Моды
@fashionguard · 5,516
#87
Журнал «Москвичка»
@moskvichka_mag · 104,393
#88
The Blueprint News
@theblueprintnews · 72,397
#89
DRMA Queen
@drmaqueen4eva · 8,725
#90
Корона не жмет
@crownfitsright · 16,096
#91
Язык драгоценностей (Jewelry Travel)
@jewelrytravel · 8,182
#92
shoes&drinks
@shoesanddrinks · 27,063
#93

Read from Telegram’s recommendation API, most recently 9 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.

Ксения Соловьёва
@ksenia_solovieva · 51,813
Telegram ranks this channel #1 of 96 here — alongside 95 others — read 24 August 2026
Светский интроверт
@svintrovert · 83,357
Telegram ranks this channel #5 of 92 here — alongside 91 others — read 18 August 2026
АЛЕКСАНДРА АЛЕКСЕЕВА - путь к процветанию
@psyaal · 38,361
Telegram ranks this channel #8 of 84 here — alongside 83 others — read 31 August 2026
Жертвы красоты
@zhertvykrasoty · 23,237
Telegram ranks this channel #10 of 87 here — alongside 86 others — read 18 September 2026
Миллиарды
@overbillions · 32,065
Telegram ranks this channel #11 of 89 here — alongside 88 others — read 6 September 2026
Oganova555
@Oganova555 · 23,061
Telegram ranks this channel #14 of 75 here — alongside 74 others — read 19 September 2026
Зинаида Пронченко
@ZinaidaPronchenko · 74,412
Telegram ranks this channel #17 of 97 here — alongside 96 others — read 19 August 2026
Доктор Жимба
@JutShiClinic · 49,852
Telegram ranks this channel #18 of 93 here — alongside 92 others — read 26 August 2026
В адеквате 🌝
@v_adecvat · 19,022
Telegram ranks this channel #19 of 89 here — alongside 88 others — read 3 October 2026
The Crown 👑
@neprofashion · 24,599
Telegram ranks this channel #19 of 90 here — alongside 89 others — read 29 September 2026
mine dandelion wine
@semak_anna · 36,477
Telegram ranks this channel #19 of 82 here — alongside 81 others — read 1 September 2026
БОЖЕНА
@bozhenabozhenabozhena · 67,390
Telegram ranks this channel #20 of 96 here — alongside 95 others — read 21 August 2026
FounderWoman
@FounderWoman · 44,861
Telegram ranks this channel #21 of 95 here — alongside 94 others — read 27 August 2026
Ретроградный Меркурий
@retrogrademercury · 161,361
Telegram ranks this channel #22 of 89 here — alongside 88 others — read 12 August 2026
Доктор Щербатова
@JuliaSherbatova · 39,409
Telegram ranks this channel #23 of 90 here — alongside 89 others — read 31 August 2026
Globe Trotter
@Gtrotter · 20,801
Telegram ranks this channel #25 of 93 here — alongside 92 others — read 27 September 2026
FoodbyJuliaRok
@foodby_juliaRok · 22,203
Telegram ranks this channel #25 of 83 here — alongside 82 others — read 20 September 2026
Oksana Rim
@oksanarim1 · 35,739
Telegram ranks this channel #26 of 81 here — alongside 80 others — read 2 September 2026
Эволюция
@evo_lutio · 58,782
Telegram ranks this channel #29 of 93 here — alongside 92 others — read 22 August 2026
🐍МОСКВИЧКА🐍
@glavmoskvichka · 32,627
Telegram ranks this channel #31 of 89 here — alongside 88 others — read 2 September 2026
SatiSpivakova
@SatiSpivakova · 19,364
Telegram ranks this channel #32 of 93 here — alongside 92 others — read 4 October 2026
ЗАРЬКОВА
@zarkovaira · 35,816
Telegram ranks this channel #34 of 90 here — alongside 89 others — read 1 September 2026
Tetyamotya
@tetyamotya · 44,337
Telegram ranks this channel #34 of 88 here — alongside 87 others — read 28 August 2026
MORGUN
@MorgunMaria · 45,678
Telegram ranks this channel #34 of 84 here — alongside 83 others — read 27 August 2026

This channel appears in 84 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“YUNA / Юния Пугачева” (@yunapugacheva), 28,158 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/yunapugacheva.

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.