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Channel

Проект Шмеля - Катя Конасова

@proektshmel

Verified by Telegram

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

119,286subscribers

-6,977 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001443952539
TypeChannel
Username@proektshmel
DescriptionЗдесь мы: ❤️ исследуем жизнь и находим смыслы и тренды в хаосе соцсетей PR и реклама: @konasovamedia Регистрация в перечне РКН: https://knd.gov.ru/license?id=6735f3214d86083881cd3d5a&registryType=bloggersPermission
Created13 July 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/proektshmel

Topic

Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 76% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 2 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@proektshmel/17041 · this entry31 Jul 2026, 09:35 UTC@beauty_apocalypsee/249831 Jul 2026, 09:41 UTC1.006 minutes
@proektshmel/17047 · this entry2 Aug 2026, 05:40 UTC@beauty_apocalypsee/25042 Aug 2026, 05:42 UTC1.002 minutes
@proektshmel/17048 · this entry3 Aug 2026, 11:45 UTC@beauty_apocalypsee/25053 Aug 2026, 11:45 UTC1.00under a minute
@proektshmel/17050 · this entry6 Aug 2026, 10:57 UTC@beauty_apocalypsee/25076 Aug 2026, 10:58 UTC1.0072 seconds
@proektshmel/17061 · this entry10 Aug 2026, 18:29 UTC@beauty_apocalypsee/251010 Aug 2026, 18:37 UTC1.008 minutes
@proektshmel/17071 · this entry12 Aug 2026, 08:24 UTC@beauty_apocalypsee/251712 Aug 2026, 08:27 UTC1.002 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@beauty_apocalypsee7 (7/7 hand-verifiable sample passed)1.002 minutesthis entry (7–0)
@murmaripari7 (7/7 hand-verifiable sample passed)1.004 minutesthis entry (7–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 109 comparable posts for this entry, running 29 July 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 4 channels, the one whose matching posts we hold earliest is @proektshmel — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 12 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

119,286126,263122,774.56 August 202612 November 2026
65 measurements spanning 98 days, net -6,977. 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 118,239–127,310 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
12 Nov 2026, 11:08119,286-185
10 Nov 2026, 06:49119,471-101
8 Nov 2026, 16:59119,572-104
7 Nov 2026, 10:16119,676-78
6 Nov 2026, 08:09119,754-81
5 Nov 2026, 09:06119,835-89
4 Nov 2026, 05:39119,924-87
3 Nov 2026, 03:46120,011-61
2 Nov 2026, 02:38120,072-52
1 Nov 2026, 01:11120,124-79
30 Oct 2026, 22:55120,203-97
29 Oct 2026, 19:48120,300-88
28 Oct 2026, 17:18120,388-72
27 Oct 2026, 17:05120,460-101
26 Oct 2026, 15:39120,561-65
25 Oct 2026, 18:39120,626-91
24 Oct 2026, 18:17120,717-93
23 Oct 2026, 19:00120,810-64
22 Oct 2026, 16:11120,874-104
21 Oct 2026, 11:41120,978first reading

Engagement

137 posts held, back to 29 July 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 200 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.5%
avg views ÷ 119,286 subscribers
Avg views / post
14,900
51 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
51
of 137 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 12 November 2026
Posts held137 (29 July 2026 – 12 November 2026)
Views total760,850
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 04:12 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
≈9,490
Videos
≈2,470
Links
≈4,240

Lifetime counters from Telegram’s own channel header, read 13 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
29m 50s
Average length
42s

Measured directly from 43 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.

Advertising

Ad load
0.73%
1 of 137 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
11,600
over 1 measured post
Median views · rest
17,500
over 136 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.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjbwBwUg124 October 202624 October 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 137 most recent posts we hold, published 29 July 2026 to 12 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: 19 of 51 posts held from the last 30 days (37.3%) 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).

12 Nov 2026, 08:57 UTC≈8,280 viewsread 13 November 2026
Video

Студенты медвузов против Валентины Алексеевой 💉 Пока одни после пар в меде мечтают просто дожить до вечера, Валентина Алексеева выигрывает конкурсы красоты, снимается на ТВ, ходит на показы, занимается спортом и ставит бабушкам капельницы и все-все успевает! В сети её уже называют «Мисс продуктивность 2026», а риллсы пестрят пародиями. В общем, у студентов-медиков на эту идеальную картинку только один вопрос: КАК?!…

12 Nov 2026, 06:58 UTC≈9,110 viewsread 13 November 2026

Друзья, у моей знакомой пропала собака – не могу пройти мимо, поэтому очень попрошу распространить пост и присмотреться – вдруг вы видели пёсика! 🙏🏻

12 Nov 2026, 06:58 UTC≈9,160 viewsread 13 November 2026
Photo

Потерялась собака, мальтипу! Чат поиска https://t.me/+BrRRRBfjYusyMWJi 🚨 10.11.2026 ноября в ~14:00 📍 ЗАО, Москва Можайский район, 95-й квартал Кунцева, На смотровой площадки у Беловежского пруда. Кобель, рыжего/абрикосово окраса. Пугливый, НЕ ЛОВИТЬ, НЕ БЕЖАТЬ! Сделайте фото/видео. ПОЗВОНИТЕ! 📞89853197017 📞89168201781 Помогите репостами в местные группы🙏

11 Nov 2026, 18:05 UTC≈10,900 viewsread 13 November 2026
Photo

Хочется написать: никогда такое не позволяйте, никогда такое не терпите. Девушки, расскажите, а у вас был опыт похожих «отношений»? Как вы из них выбрались? Подпишись 🐝 | Канал в max

11 Nov 2026, 11:27 UTC≈12,000 viewsread 13 November 2026
Video

Девушки, вы видели тренд NIVEA WINTER? 💙 В соцсетях снова романтизируют зиму в эстетике Tumblr 2017: холодные розовые щёки, блестящие губы, пушистые шарфы, наушники, снег, фотографии со вспышкой и, конечно, та самая синяя баночка Нивеа)) И ведь как ловко работает ностальгия. Нам продают не просто крем или зимний уход, а целую эпоху. В очередной раз убеждаюсь: ностальгия не просто приятное чувство, а один из самых …

10 Nov 2026, 17:12 UTC≈13,000 viewsread 13 November 2026
Photo

И не говорите, что у вас не так 😆 Подпишись 🐝 | Канал в max

9 Nov 2026, 17:42 UTC≈14,100 viewsread 13 November 2026
Photo

Девочки, а вы тоже замечали, что некоторые мужчины в масках выглядят привлекательнее? Так вот, этому даже нашли научное объяснение. Исследователи из Кардиффского университета провели эксперимент с участием 43 женщин. Им показывали фотографии мужчин без масок, в тканевых и медицинских масках, а ещё с книгой, закрывающей нижнюю часть лица. И знаете, кто оказался самым привлекательным? Мужчина в голубой медицинской ма…

9 Nov 2026, 05:43 UTC≈14,900 viewsread 13 November 2026
Photo

Ничего себе, а вы знали, что, оказывается, многие парни так пытаются повлиять на девушек? 😆 Думала, что это единичный случай, а в ветке пишут, что нет))) Подпишись 🐝 | Канал в max

7 Nov 2026, 17:25 UTC≈14,000 viewsread 13 November 2026
Forwarded from @konasovatutPhoto

Вау! Вы уже видели эту гениальную коллабу? KIKO Milano объединились со STABILO и выпустили маркеры для губ в виде тех самых текстовыделителей из детства💔 У вас же тоже фото с запахом? Я прям помню как пахли эти маркеры, ну и их вкус – когда они высыхали😂😂😂

7 Nov 2026, 11:14 UTC≈17,400 viewsread 13 November 2026
Photo

«Магнит» стал «Могнитом», интернет ополчился на Дженнифер Лоуренс, а муж из прутьев неожиданно стал главным секс-символом проката)) Что всё это значит и почему мы обсуждаем именно это? 🙂Смотрите в новом выпуске, там разобрали все самые интересные новости интернета 👇

7 Nov 2026, 08:15 UTC≈17,100 viewsread 13 November 2026
Photo

Как-то всё печально в этой ветке 🥲 Мы, конечно, любим ловить «хаха» с историй про мам сыночек-корзиночек, которые не могут смириться с тем, что у сына появилась женщина. Но вот когда девушки начинают делиться историями отношений со своими мамами, становится совсем не смешно… Тут обсуждают, как матери холодно, обесценивающе или откровенно токсично реагируют на новость о помолвке собственных дочерей. И во многих исто…

5 Nov 2026, 17:53 UTC≈16,500 viewsread 11 November 2026
Photo

Пока одни пытаются сбежать от общения и всё чаще выбирают одиночество, другие готовы платить за то, чтобы рядом хоть кто-нибудь был 🥲 В Москве набирает популярность довольно необычная услуга: совместный сон онлайн. Вы платите деньги, созваниваетесь с незнакомой девушкой, а она лежит с вами на видеосвязи, болтает, включает музыку, играет в игры или просто засыпает по ту сторону экрана. Я вот, что подумала: мы живём …

Showing the 12 most recent of 137 posts we hold for @proektshmel. 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

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 7 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.

Катя Конасова
@konasovatut · 76,650
#1
ВПШ
@pravdadirty · 1,391,255
#2
Новости Москвы
@moscowmap · 2,620,198
#3
KOSTI
@kosti · 550,418
#4
Москвач • Новости Москвы
@moscowach · 3,872,110
#5
Медуза — LIVE
@meduzalive · 1,116,618
#6
КОНТЕКСТ
@kontext_channel · 865,039
#7
Вероника Степанова
@veronikastepanova20011 · 485,372
#8
Боярова
@boyarovayulya · 97,253
#9
Артемий Лебедев
@temalebedev · 971,105
#10
Рифмы и Панчи 🤯
@rhymestg · 1,525,862
#11
Любимый ВПШ 😮‍💨
@lyubimyivpsh · 141,912
#12
Клиент всегда прав
@klientvsprav · 1,022,641
#13
Москва Live
@msk_live · 1,798,812
#14
не тереби дао
@dukaliti · 121,644
#15
Москва сейчас
@mosnow · 431,280
#16
Кровавая барыня
@bloodysx · 1,172,481
#17
Mash
@mash · 3,140,033
#18
Осторожно, новости
@ostorozhno_novosti · 1,621,101
#19
Varlamov News
@varlamov_news · 1,058,487
#20
Раньше всех. Ну почти.
@bbbreaking · 1,975,202
#21
КК
@petrovtel · 541,590
#22
Бананщина
@bananshina · 34,825
#23
FEMALE MEMES
@femalememes · 399,175
#24
Baza
@bazabazon · 1,556,528
#25
Только никому...
@spletni_tg · 186,947
#26
Антиглянец
@sncmag · 299,576
#27
RedAutumn
@olyaredautumn · 107,321
#28
Осторожно, Москва
@ostorozhno_moskva · 396,349
#29
Clapp Snap!
@KateClappTelegram · 171,793
#30
PETROVA
@milanapetrovaqueen · 197,538
#31
SHOT
@shot_shot · 1,265,529
#32
IdaGalich
@GALICH_onok · 278,336
#33
Алена Погребняк
@alenapogrebnyaktg · 77,127
#34
москоутиндер
@moscowtinderr · 742,791
#35
кабачковая икра по акции
@sale_caviar · 192,570
#36
Стрелец-Молодец
@strelets_molodec · 348,609
#37
Администрация Аншлага
@klaragavrilovnanews · 156,700
#38
Джонни детка
@Johnny4ekak · 65,328
#39
персик
@anthonyuly · 232,734
#40
YOBAJUR
@yobajur · 185,308
#41
диалектический отказ
@istominakarina · 156,369
#42
Лука Ебков
@luka_ebkov · 428,911
#43
TERLETSKAYA LIVE
@terletskayalive · 37,030
#44
Лентач
@lentachold · 391,507
#45
Двач
@dvachannel · 969,125
#46
лидер мнений среди удобрений
@lider · 175,246
#47
Pushman
@pushmanjulia · 177,721
#48
Москва+
@moscowplus · 1,210,335
#49
Mash на Мойке
@mashmoyka · 342,242
#50
Лентач
@oldlentach · 262,523
#51
НЕКИЙ КАНАЛ🎬
@kanalnekiy · 178,484
#52
НЕБОЖЕНА
@imnotbozhena · 503,516
#53
Super.ru
@SuperRu · 193,466
#54
РАМУЗЫКА
@RamusicRu · 75,053
#55
Соня Хромова
@khromovasonya · 74,700
#56
Екатерина Мизулина
@ekaterina_mizulina · 924,923
#57
ВИЛСАКОМ РЕД / WYLSACOM RED
@wylsared · 1,088,291
#58
UsachevRuslan
@usachevruslan · 250,801
#59
ЭТО ЗНАК
@etoznakmag · 631,022
#60
PEOPLETALK
@Peopletalkru · 182,833
#61
NN
@naebnet · 2,177,794
#62
СКЕТЧУП
@sketchup_parfenyuk · 128,738
#63
Дима Масленников
@maslennikovliga · 2,100,037
#64
Креатив со звездочкой
@creative · 133,428
#65
Телек Телек
@telek_telek · 14,498
#66
резерв.
@dashakozlouskayatg · 172
#67
Роскошь бутиков
@zhidkovskiy_beauty · 149,775
#68
Mon Amy
@itsdanilevskaya · 51,594
#69
Бабская курилка
@kureelka · 124,121
#70
Alina Muradimova 📷
@alina_muradi · 41,702
#71
Дудь
@yurydud · 849,220
#72
Кинопоиск | Фильмы и сериалы
@kinopoisk · 794,341
#73
rutkismary
@rutkismary · 337,968
#74
Сегодня в тренде
@trends · 1,111,945
#75
Первый Московский
@mosguru · 3,426,640
#76
Эксплойт
@exploitex · 2,021,350
#77
Сергей Минаев
@minaevlife · 317,610
#78
Что там, Москва?
@newsmoscow · 859,893
#79
ок, согласовано
@notypicmarketing · 748,239
#80
Бабкин Престол 2.0
@babkin_prestol · 67,265
#81
СОБЧАК
@ksbchk · 381,288
#82
Kuplinov ► Play
@Kuplinov_Telegram · 905,332
#83
MUR
@fashion_mur · 205,098
#84
ROGOV
@rogov24 · 184,474
#85

Read from Telegram’s recommendation API, most recently 13 August 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.

НВОРК
@N_4an · 19,057
Telegram ranks this channel #1 of 81 here — alongside 80 others — read 4 October 2026
Мужское Женское. Редакция
@dorogoemj · 21,525
Telegram ranks this channel #2 of 67 here — alongside 66 others — read 22 September 2026
Боярова
@boyarovayulya · 97,253
Telegram ranks this channel #3 of 70 here — alongside 69 others — read 15 August 2026
БЕЛЬЧИКИ
@kbelchik · 64,278
Telegram ranks this channel #4 of 69 here — alongside 68 others — read 21 August 2026
мистика
@missssstika · 75,466
Telegram ranks this channel #5 of 73 here — alongside 72 others — read 19 August 2026
Алена Погребняк
@alenapogrebnyaktg · 77,127
Telegram ranks this channel #5 of 74 here — alongside 73 others — read 19 August 2026
Pravdaokosmetologah
@pravdaokosmetologah · 19,936
Telegram ranks this channel #6 of 83 here — alongside 82 others — read 29 September 2026
Маруся Черничкина 🫐
@iiaquamarieii · 73,905
Telegram ranks this channel #6 of 64 here — alongside 63 others — read 26 August 2026
Siberian Teacher / Сибирский Учитель 👩🏻‍🏫
@siberianteacher_history · 19,144
Telegram ranks this channel #8 of 79 here — alongside 78 others — read 5 October 2026
Дубровская 👊🏿
@dubrovskaya_angelina · 80,397
Telegram ranks this channel #8 of 81 here — alongside 80 others — read 18 August 2026
Мира
@mira_att · 381,144
Telegram ranks this channel #10 of 68 here — alongside 67 others — read 28 August 2026
Саша Сулим
@sasha_sulim · 55,422
Telegram ranks this channel #11 of 89 here — alongside 88 others — read 23 August 2026
TSARSKAYA.K 🌙 | Екатерина Царская
@ktsarskaya · 84,514
Telegram ranks this channel #12 of 70 here — alongside 69 others — read 18 August 2026
Бананщина
@bananshina · 34,825
Telegram ranks this channel #13 of 84 here — alongside 83 others — read 3 September 2026
TERLETSKAYA LIVE
@terletskayalive · 37,030
Telegram ranks this channel #13 of 85 here — alongside 84 others — read 1 September 2026
ПАВЕЛ КЕЙК
@cakepavel · 38,479
Telegram ranks this channel #13 of 84 here — alongside 83 others — read 30 August 2026
Krasnova_Natasha
@KrasnovaNatasha_official · 73,436
Telegram ranks this channel #13 of 79 here — alongside 78 others — read 19 August 2026
James Alone Official Entertainment System
@jamesaloneteam · 37,839
Telegram ranks this channel #14 of 74 here — alongside 73 others — read 31 August 2026
Телеканал Ю
@uchannelofficial · 46,541
Telegram ranks this channel #15 of 57 here — alongside 56 others — read 22 September 2026
Караван Ахуительных Историй
@karavanahuitelnyhistoriy · 48,443
Telegram ranks this channel #15 of 90 here — alongside 89 others — read 26 August 2026
Romanova.blog
@allaRomonoVa · 88,971
Telegram ranks this channel #16 of 63 here — alongside 62 others — read 1 October 2026
Darky || Дарки
@sheisdarky · 40,062
Telegram ranks this channel #16 of 79 here — alongside 78 others — read 31 August 2026
ФСН 🐞 OFFICIAL️
@fsnonline · 39,625
Telegram ranks this channel #16 of 74 here — alongside 73 others — read 30 August 2026
Рыжий фермер👩🏼‍🌾
@daryasemm · 155,314
Telegram ranks this channel #17 of 66 here — alongside 65 others — read 6 September 2026

This channel appears in 202 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“Проект Шмеля - Катя Конасова” (@proektshmel), 119,286 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/proektshmel.

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.