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Channel

Ольга Любимцева

@olubimtseva

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

23,256subscribers

-1,131 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-1001252301787
TypeChannel
Username@olubimtseva
DescriptionКак эксперту выстроить систему автопродаж и получать новые заказы из Telegram каждый день. Подписывайтесь и читайте закрепленный пост, там вся соль. Результаты моих студентов → @lubimtseva_otz Для связи → @olashkolaru (рекламу не размещаю)
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/olubimtseva

Topic

Education — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 68% 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 word for word on 1 other registered channel. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@olubimtseva/2105 · this entry5 Aug 2026, 05:03 UTC@ollubim_web/10965 Aug 2026, 05:04 UTC1.0072 seconds
@olubimtseva/2109 · this entry5 Aug 2026, 14:54 UTC@ollubim_web/10995 Aug 2026, 15:03 UTC1.009 minutes
@olubimtseva/2113 · this entry5 Aug 2026, 18:09 UTC@ollubim_web/11035 Aug 2026, 18:09 UTC1.00under a minute
@olubimtseva/2118 · this entry6 Aug 2026, 05:03 UTC@ollubim_web/11046 Aug 2026, 05:05 UTC1.002 minutes
@olubimtseva/2129 · this entry7 Aug 2026, 05:01 UTC@ollubim_web/11107 Aug 2026, 05:02 UTC1.0072 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ollubim_web7 (7/7 hand-verifiable sample passed)1.0072 secondsthis 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 13 comparable posts for this entry, running 4 August 2026 to 7 August 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).

Across the whole group of 2, the earliest publisher we hold is @olubimtseva — 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 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

23,25624,38723,821.57 August 20267 November 2026
62 measurements spanning 92 days, net -1,131. 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 23,086–24,557 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, 17:0823,256-9
6 Nov 2026, 16:1423,265-9
5 Nov 2026, 18:2123,274-7
4 Nov 2026, 21:1523,281-15
3 Nov 2026, 21:4823,296-8
3 Nov 2026, 00:1123,304-7
1 Nov 2026, 21:3023,311-5
1 Nov 2026, 00:2723,316-12
30 Oct 2026, 21:4423,328-6
29 Oct 2026, 23:5823,334-12
29 Oct 2026, 03:1823,346-7
28 Oct 2026, 00:0723,353-13
27 Oct 2026, 03:0623,366-10
26 Oct 2026, 01:1723,376-7
25 Oct 2026, 01:3723,383-9
24 Oct 2026, 01:2923,392-5
23 Oct 2026, 04:2723,397-36
22 Oct 2026, 01:2123,433-22
20 Oct 2026, 20:4723,455-15
19 Oct 2026, 17:5723,470first reading

Engagement

78 posts held, back to 2 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 113 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.36%
avg views ÷ 23,256 subscribers
Avg views / post
782
4 posts measured
Reaction rate
4.19%
reactions ÷ views · ER floor
Posts in window
4
of 78 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 21 October 2026
Posts held78 (2 July 2026 – 21 October 2026)
Views total3,127
Reactions total131
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 02:32 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
208
Videos
32
Links
85

Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
54m 02s
Average length
3m 11s

Measured directly from 17 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

2,054 reactions across 60 posts, in 22 distinct kinds. The most used accounts for 45.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥92545.0%
❤54626.6%
👍39219.1%
👏391.90%
🎉261.27%
🤣251.22%
🥰251.22%
💯231.12%
❤‍🔥180.876%
🙏130.633%
⚡60.292%
🤗40.195%
🍓20.097%
😢20.097%
🍾10.049%
🏆10.049%
🐳10.049%
🕊10.049%
😍10.049%
😱10.049%
2 further kinds20.097%

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 60 of the 78 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 2,054 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 78 most recent posts we hold, published 2 July 2026 to 21 October 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
4
across the posts below
Posts paid on
1
of 78 we hold a reading for · 1%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @olubimtseva. 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 78 most recent posts we hold for this entry, published 2 July 2026 to 21 October 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

Telegram’s own ‘edited’ marker: 2 of 4 posts held from the last 30 days (50.0%) 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).

21 Oct 2026, 05:18 UTC780 views25 reactionsread 8 November 2026

Чем займетесь сегодня вечером? Сегодня важный день для тех, кому тяжело продавать свои услуги. В 19 часов по Москве жду вас на эфире «Этичные и мягкие продажи». Обязательно быть тем, кто умеет помогать людям, но не умеет себя продвигать и продавать. Простой тест, нужно ли вам приходить или лучше пойти заниматься своими делами. Отвечайте на каждый вопрос да или нет. — Вы уже ведете соцсети, каналы, делаете конте…

🔥13👍7❤4👏1

20 Oct 2026, 05:04 UTC748 views24 reactionsread 8 November 2026

Не хочу быть ПРОДАЖНЫМ экспертом и писать ПРОДАЖНЫЕ посты. Такой комментарий я получила на одном из эфиров. Давайте разбираться. Самое полезное, что вы можете сделать для своих читателей — продать им свою услугу. Потому что только в работе с вами человек свою проблему наконец то решит. Бесплатные полезности еще никого не сделали здоровее, богаче или счастливее. Пытаться помочь человеку с реальной проблемой с по…

👍12🔥8❤2💯2

19 Oct 2026, 05:59 UTC713 views26 reactionsread 8 November 2026

Медитация на графин или почему нет продаж. Вы очень хотите пить. Что нужно сделать, чтобы утолить жажду? Подумайте 3-5 секунд над этим странным вопросом и читайте дальше. Верно — нужно просто выпить воды. Не медитировать на графин и не набираться мотивации. Не изучать химический состав воды и не ждать, пока жажда сама пройдёт. Просто сделать действие, которое решает задачу. А теперь вопрос номер два. Что нуж…

🔥11❤7👍6💯2

18 Oct 2026, 06:02 UTC886 views56 reactionsread 8 November 2026

Вы идёте мимо болота и видите, что там тонет человек. Вы знаете, как его спасти, но проходите мимо, потому что вам неловко подходить к незнакомцам. Вдруг он не так посмотрит или подумает, что вы навязываетесь. Именно так происходит, когда вы отказываетесь продавать на свои каналах или страничках в соцсетях. Но правда в том, что дело тут не в вашей «воспитанности». Дело в том, что вам неудобно, неловко, а иногда …

🔥46👍4❤3💯3

30 Sept 2026, 15:57 UTC616 viewsread 15 October 2026

🚀 Начинаем последний повтор вчерашнего эфира Подключайтесь по ссылке, мы уже начали: https://lubimtseva.info/pl/webinar/show?id=3330624&view=1

30 Sept 2026, 05:55 UTC726 views2 reactionsread 15 October 2026

Не успели узнать про систему богатого и ленивого автора? Вчера на эфире разбирали, как получать клиентов с помощью МАХ канала, не занимаясь продвижением и контентом 24/7. А еще разобрали: — Секрет притяжения платежеспособных клиентов: что нужно транслировать на канале вместо рассказов о себе и своей услуге. — Шпаргалка, как доносить ценность услуги, даже если вы ненавидите навязываться и продавать. — Ошибка щедр…

👍2

29 Sept 2026, 15:00 UTC641 views1 reactionsread 15 October 2026

⏰Через час жду вас на новом большом эфире Тема — Пошаговая система привлечения клиентов для помогающих практиков Вот лишь малая часть из того, что я сегодня для вас приготовила: — Секрет притяжения платежеспособных клиентов: что нужно транслировать на канале вместо рассказов о себе и своей услуге. — Шпаргалка, как доносить ценность услуги, даже если вы ненавидите навязываться и продавать. — Ошибка щедрого экспер…

👍1

29 Sept 2026, 05:03 UTC603 views16 reactionsread 15 October 2026

Железное правило — ноль рублей в продвижение. Я запрещаю экспертам покупать рекламу на старте проекта. Типичный сценарий: специалист заводит канал, публикует пару случайных постов и тут же бежит нанимать подрядчиков, закупать рекламу и вкладываться в продвижение Что в итоге? Деньги потрачены, продаж ноль, а руки опускаются. И специалист делает ложный вывод: «В интернете клиентов нет, это все обман». А дело в пр…

👍8🤗4❤2🔥2

28 Sept 2026, 05:01 UTC581 views12 reactionsread 15 October 2026

Казино всегда в выигрыше. За чей счет банкет в социальных сетях? Соцсети зарабатывают, когда пользователи проводят там часы напролет. А чтобы они там сидели, авторы должны непрерывно выдавать тонны свежего контента. Пока вы каждый день снимаете видео, выкладываете по 10 историй и пишете посты — система позволяет вам быть на виду. Но стоит заболеть, устать, уехать в отпуск или просто заняться работой с клиентами …

❤7🔥4👍1

27 Sept 2026, 05:00 UTC624 views21 reactionsread 15 October 2026

Перестаньте ждать красивых цифр. Вот наберу Х подписчиков, тогда и начну продавать. Знакомые мысли? А потом на канале появляется заветная цифра. И появляется новая мысль: Ой, ну это мало... Вот дорасту до тысячи подписчиков, тогда будет не стыдно что-то предложить. Эта гонка не закончится никогда. В мессенджерах всё работает иначе, чем в соцсетях. Здесь решает не размер толпы, а то, КТО именно вас читает и что …

❤13🔥6👍2

26 Sept 2026, 05:00 UTC640 views27 reactionsread 15 October 2026

Ловушка бесплатной пользы Вы тратите по два часа на каждый пост, выкладываетесь на 200%, а в ответ тишина и ноль оплат? Давайте разберем, почему так происходит. Большинство экспертов уверены: чем больше пользы я выдам бесплатно, тем быстрее человек захочет мне заплатить. И начинают публиковать инструкции, практики, пошаговые упражнения и чек-листы. Что происходит в голове у читателя? Он прочитал, попробовал сде…

🔥13❤7👍7

25 Sept 2026, 05:01 UTC713 views17 reactionsread 15 October 2026

Сертификат на хлеб не намажешь. А еще один диплом не решит вашу проблему с клиентами. Когда у помогающего практика наступает тишина в записях, его первая мысль: Наверное, мне не хватает знаний. Надо пойти на еще один курс, освоить еще один метод, получить еще одну корочку. Как будто причина в том, что вы недостаточно хороший специалист. Но это опасная иллюзия. Можно собрать десять дипломов, повесить их на стену…

❤11🥰4👍2

Showing the 12 most recent of 78 posts we hold for @olubimtseva. 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 recorded as deleted after publishing

We recorded 3 posts on @olubimtseva as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
30 September 2026
Most recent seen missing
30 September 2026
Median time before seen missing
16 hours
Seen missing in the last 30 days
0

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

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.

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#16
Риэлтор на шпильках 👠
@realtor_na_shpilkah · 258
#17
🔥ИИ неизбежен| Николай Логачев
@nikolayproonline · 1,124
#18
Унесённая текстом
@lyucopy · 538
#19
Евгения Васильева || Трафик
@local_target · 9,125
#20
Корытин выкручивает конверсии
@nmiacm · 60,737
#21
Наталия Воробьева| Маркетинг + ИИ
@voronkamillion · 2,919
#22
Бизнес коуч |Константинова Татьяна
@konstantinova_consulting · 378
#23
Режим редактора
@blog_c_0 · 965
#24
ИИ для бизнеса, маркетинга, SMM | Кибериада
@Cyberiada · 2,183
#25
Евгения | Продвижение
@tg_maker · 1,427
#26
ЭНЕРГОТЕРАПЕВТ/ЯСНОВИДЯЩАЯ/ОБУЧЕНИЕ ЧТЕНИЮ АКАШИ И ЭНЕРГОТЕРАПИИ/ПРОДВИЖЕНИЕ ЭЗОТЕРИКОВ
@liz_gabriel_mag · 170 (as read 17 September 2026)
#27
Как продавать рукодельницам?📈Катя Полищук
@katya_polishuk · 2,891
#28
Кетт⚡️Этичный маркетинг
@kettstar · 15,552
#29
Маркетолог для бизнеса┃ШУМИЛОВА АННА
@shyma_anna · 2,148
#30
Искусство быть собой со Светланой
@lanaenergycoych · 576
#31
Сам себе продюсер 💰 Kolesnikov School
@kolesnikovschool · 3,217
#32
Владимир, бизнес фея 🎯
@work_kaif_balance · 692
#33
Сергей Жариков | Маркетинг 🤝 AI
@zharikov_target · 1,111
#34
Ваня Буявец | AI-native-трафик
@checkroi · 3,801
#35
Точка уюта Анастасии Любарской
@tochka_yuta · 503
#36
СЕМЬЯ 3.0
@SvetlanaSkopina · 701
#37
Нутрициолог|Надежда Хлопянова
@mynutri · 1,677
#38
Картины от Валентины
@artmagic_valentina · 489
#39
Акцент на здоровье
@healthmissionary · 672
#40
Валерия Каплан || Новая наука и психология
@EFT_Russia · 799
#41
Праздники в детском саду
@detmuzic · 3,393
#42
Сакральный путь
@sacral_way · 288
#43
Адвокат Усов и Компания
@advokat_usov · 1,294
#44
ВЫ МЕНЯ НЕ СПРАШИВАЛИ
@ketoblondy · 440
#45
ПРОВОДНИК к СЕБЕ /Светлана Жарская
@svetazhara · 683
#46
ОКСАНА СЕРДЮКОВА | СВОЯ ИГРА
@oxymygame · 294
#47
ИНФОБИЗ БЕЗ ЕБШ | ЮРИЙ СЛЕПНЁВ
@yurii_yurii86 · 1,988
#48
Наталья Стукова | Вдохновляющий Сказкотерапевт
@natalieskazka · 1,808
#49
Миронова Ольга о Здоровье
@mironova2024zog · 649
#50
Как в 70+ выглядеть на 45
@tnikulinalife · 2,490
#51
Хайлайты | Журнал про инфобиз и edtech
@infohilights · 20,965
#52
Творцы своей жизни| Светлана Дуда
@energiduda · 863
#53
Юлия Андреева / Кристальная
@yuliimagic · 194 (as read 17 September 2026)
#54
Ракурс - секретный метод продаж || Елена Реброва
@follow_your_soul · 1,008
#55
Красавчик с Авито
@realavito · 415
#56
Ирина Мовсунова| Жизнь без автопилота
@movsunovarecomend · 293
#57
Артём Караваев
@karavaev_art · 1,107
#58
TATYANA POSISAEVA | бренды и бизнес
@tatyana_designbrand · 211 (as read 17 September 2026)
#59
Маркетинг в цифрах | Алла Филиппова
@digitalalla · 595
#60
Экспертная книга под ключ 🗝
@knigozoi · 383
#61
NATA
@nostereo · 459
#62
КАКуНИХ : 🇺🇸 Маркетинг
@spy_marketing · 2,192
#63
Стоматология с Любовью/Д-р Бессарабова
@stomatolog_love · 1,193
#64
Кайф-сёрфинг. 💰 + ❤️
@kaifsurfing · 4,114
#65
Психология влияния 🌏 Как создаются миры
@psychoVera · 296
#66
Тревоги.NЕТ с Соловьевой♻️
@innasolovevaNEW · 747
#67
О питание/ коррекция дефицитов витаминов
@opitanie_zdes · 219
#68
Новая глава| психолог Дарья Свиридова
@glava2_0 · 337
#69
Записки продажника
@karl_nas · 496
#70
АННА ГОЛУБОВСКАЯ Психолог
@Anna_NeuroTherapy · 228
#71
Маркетинг в носочках
@kpeativ13 · 657
#72
Судакова Татьяна | продукты и продажи | продюсер
@metodSudakova · 2,224
#73
Ипотека с Натальей Губаревой
@ipotekagubareva · 1,324
#74
ВЫЙТИ ИЗ СУМРАКА 🦊 Та Павлова
@everyonecomeoutofthetwiligh · 468
#75
Академия Виктории Киорсак | Дизайн Интерьера
@designacademy_kiorsak · 283
#76
Сухов Сергей || Новая глава запусков || Маркетолог🌭
@SykhovTarget · 2,833
#77
НефтеТрафик про лидген
@Infobiznow · 2,481
#78
Терапия маркетинга
@chislamarketing · 503
#79
Пси-кабинет 👠 суд экспертиза
@psy_sud · 773
#80
ПРОДЗЕН
@prodzen · 3,217
#81
Эд Виденин | Запуск экспертов
@edvidenin · 1,294
#82
Артём Инсайт
@arteminsight · 918
#83
Нечаев Данил
@content_for_sales · 1,704 (as read 17 September 2026)
#84
Ника 🕊 Путь Мастерства и Мудрости
@nika_prozapuski · 977
#85
Ирина Жданова-Проспер | художник
@Prosper_ART · 498
#86
Школа Водолей (астрология, психологический портрет)
@astrolog_udinskay · 712
#87

Read from Telegram’s recommendation API, most recently 17 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.

Система Богатства
@batudmi · 30,703
Telegram ranks this channel #58 of 73 here — alongside 72 others — read 6 September 2026
Мир нейросетей - новости, обучение и заработок
@pro_ai_novosti · 50,031
Telegram ranks this channel #85 of 90 here — alongside 89 others — read 25 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 7 November 2026 — this entry's latest reading, not the date you are reading this.

“Ольга Любимцева” (@olubimtseva), 23,256 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/olubimtseva.

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.