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Telegram profile photo for Олег Шевелев

Channel

Олег Шевелев

@olegcloser

Verified by Telegram

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

35,203subscribers

+224 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001146512808
TypeChannel
Username@olegcloser
DescriptionАвтор бестселлера «Рекорды продаж» https://ozon.ru/t/l1qf6af Кандидат наук, YouTube: 300k+ https://youtube.com/@olegcloser Задать вопрос @rasti_bz А+ Включена РКН https://clck.ru/3LQ2mn #3KO1J
CreatedBetween 1 March 2016 and 30 November 2019 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live26 October 2026
Measurements held49
Confirmed unchanged1 time, most recently 26 October 2026
On Telegramt.me/olegcloser

Topic

Education — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 66% 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

34,88435,20335,043.56 August 2026 — 34,979 subscribers6 August 2026 — 34,979 subscribers6 August 2026 — 34,975 subscribers7 August 2026 — 34,965 subscribers8 August 2026 — 34,969 subscribers9 August 2026 — 34,968 subscribers10 August 2026 — 34,964 subscribers11 August 2026 — 34,968 subscribers12 August 2026 — 34,950 subscribers14 August 2026 — 34,930 subscribers16 August 2026 — 34,923 subscribers17 August 2026 — 34,891 subscribers18 August 2026 — 34,897 subscribers19 August 2026 — 34,884 subscribers20 August 2026 — 34,903 subscribers22 August 2026 — 34,978 subscribers24 August 2026 — 35,009 subscribers25 August 2026 — 34,998 subscribers26 August 2026 — 35,000 subscribers27 August 2026 — 34,998 subscribers27 August 2026 — 35,001 subscribers28 August 2026 — 35,023 subscribers29 August 2026 — 35,012 subscribers1 September 2026 — 35,022 subscribers1 September 2026 — 35,021 subscribers2 September 2026 — 35,016 subscribers4 September 2026 — 35,024 subscribers6 September 2026 — 35,047 subscribers10 September 2026 — 35,062 subscribers12 September 2026 — 35,042 subscribers13 September 2026 — 35,057 subscribers15 September 2026 — 35,048 subscribers17 September 2026 — 35,044 subscribers27 September 2026 — 35,032 subscribers4 October 2026 — 35,037 subscribers9 October 2026 — 35,112 subscribers13 October 2026 — 35,155 subscribers14 October 2026 — 35,153 subscribers15 October 2026 — 35,158 subscribers16 October 2026 — 35,172 subscribers17 October 2026 — 35,169 subscribers18 October 2026 — 35,177 subscribers19 October 2026 — 35,164 subscribers20 October 2026 — 35,161 subscribers22 October 2026 — 35,181 subscribers23 October 2026 — 35,188 subscribers24 October 2026 — 35,176 subscribers25 October 2026 — 35,181 subscribers26 October 2026 — 35,203 subscribers6 August 202626 October 2026
49 measurements spanning 81 days, net +224. 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 34,836–35,251 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)SubscribersChange
26 Oct 2026, 03:3635,203+22
25 Oct 2026, 05:2535,181+5
24 Oct 2026, 05:5535,176-12
23 Oct 2026, 08:5435,188+7
22 Oct 2026, 08:2135,181+20
20 Oct 2026, 23:0635,161-3
19 Oct 2026, 19:4035,164-13
18 Oct 2026, 22:1835,177+8
17 Oct 2026, 22:4035,169-3
16 Oct 2026, 21:3135,172+14
15 Oct 2026, 22:3935,158+5
14 Oct 2026, 19:0835,153-2
13 Oct 2026, 10:0135,155+43
9 Oct 2026, 05:1735,112+75
4 Oct 2026, 20:4035,037+5
27 Sept 2026, 05:4035,032-12
17 Sept 2026, 14:1535,044-4
15 Sept 2026, 14:4135,048-9
13 Sept 2026, 20:5835,057+15
12 Sept 2026, 06:5535,042first reading

Engagement

74 posts held, back to 26 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 146 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.25%
avg views ÷ 35,203 subscribers
Avg views / post
2,550
13 posts measured
Reaction rate
1.19%
reactions ÷ views · ER floor
Posts in window
13
of 74 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 19 October 2026
Posts held74 (26 July 2026 – 19 October 2026)
Views total33,190
Reactions total396
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Oct 2026, 01:00 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
≈1,470
Videos
≈394
Links
≈677

Lifetime counters from Telegram’s own channel header, read 27 October 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
24m 13s
Average length
1m 44s

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

1,282 reactions across 72 posts, in 8 distinct kinds. The most used accounts for 59.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🏆76859.9%
⚡17113.3%
👍15311.9%
❤13410.5%
😁393.04%
😐131.01%
😎20.156%
🙈20.156%

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 73 of the 74 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 1,302 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 74 most recent posts we hold, published 26 July 2026 to 19 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
3
across the posts below
Posts paid on
3
of 74 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @olegcloser. 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 74 most recent posts we hold for this entry, published 26 July 2026 to 19 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

19 Oct 2026, 15:28 UTC≈2,100 views47 reactionsread 27 October 2026
Photo

«Рекордный доход за 15 лет существования компании», «От страха, что бизнес закроется, к росту конверсии в 3 раза» Изучаю новые анкеты выпускников ПРОКАЧКИ: менеджеры, руководители, собственники бизнесов из разных стран (Россия, США, Беларусь) и сфер. Вот несколько примеров, упакованных в карточки кейсов. К каждому кейсу мы добавляем подтверждения: скрины из переписок, оплаты и тд. 🏆 Макеев Алексей (47 лет, Москва, …

❤24👍15⚡6🏆2

12 Oct 2026, 17:25 UTC≈2,890 views22 reactionsread 27 October 2026
Photo

«Максимум по чистой прибыли сделали в сентябре» Всего несколько недель назад я рассказывал вам, что мы стартуем на ПРОКАЧКЕ. 3 недели пролетели — и вот уже подводим итоги. У кого-то конверсия взлетела, у кого-то рекорд по чистой прибыли, кто-то вернул несколько клиентов. Я очень доволен. Система из моих обученных ИИ агентов помогает прямо сейчас сотням бизнесов быть эффективнее, продавать больше и ставить рекорды…

🏆11👍5⚡4❤2

12 Oct 2026, 13:59 UTC≈2,480 views14 reactionsread 27 October 2026
Photo

Чек-лист сильной системы продаж из 30 пунктов на 1 листе Каждый месяц мы проводим десятки зум-встреч с предпринимателями для диагностики систем продаж. Хочу показать вам концепцию, которая помогает продавать абсолютно по-другому и значительно больше. Есть 3 слоя, которые влияют на ваши продажи: Слой 1 — система продаж. Это главные инструменты продаж, которые помогают донести до клиента всю ценность вашего предлож…

⚡7👍5❤1🙈1

2 Oct 2026, 15:51 UTC≈3,500 views38 reactionsread 27 October 2026

👆 В Т-Бизнес секретах опубликовали мой пост «5 причин, почему сделки зависают». По каждой причине есть конкретная фраза, которую можно отправить клиенту. Это самый простой способ грамотно работать с зависшими сделками.

🏆33⚡5

2 Oct 2026, 15:48 UTC≈3,240 views22 reactionsread 27 October 2026
Forwarded from @bs_businessPhoto

«Клиент пропал»: что писать и говорить, чтобы вернуть зависшую сделку Меня зовут Олег Шевелев @olegcloser, я основатель ютуб-канала по продажам с аудиторией 300+ тысяч подписчиков, автор книги-бестселлера и практик, который прокачал 900+ отделов продаж: от Сбера до топовых блогеров. Много ли у вас зависших сделок? Я каждый день анализирую отделы продаж и вижу, что одна из главных проблем — это большое количество за…

🏆12⚡4👍4❤2

2 Oct 2026, 08:10 UTC≈2,710 views49 reactionsread 27 October 2026
Photo

Спросил у ИИ про формулу 100% сделки. ИИ в курсе) А ваши менеджеры?

🏆26❤16😁4⚡2👍1

1 Oct 2026, 16:21 UTC≈2,410 views26 reactionsread 19 October 2026

ТОП-9 денежных дел 4 квартала Начался финальный квартал 2026. Вот главные действия по моей системе для роста продаж с нюансами для предпринимателей и руководителей (это работает прямо сейчас у наших корп. клиентов). 1. Разберите все зависшие сделки по формуле 100% закрытия и запланируйте точный следующий шаг. По каждой зависшей сделке определите, чего не хватает для оплаты (ФВ / ОП / Д / ЛПР / ЗС), проставьте 1 ил…

👍8⚡7🏆7❤4

30 Sept 2026, 13:16 UTC≈2,620 views56 reactionsread 19 October 2026
Photo

Фразы для продаж (часть 2). Итого уже получается 8 фраз. Сколько из этих фраз используете в своих продажах? Актуальна рубрика? Часть 3 публиковать?

👍27🏆16⚡13

29 Sept 2026, 16:24 UTC≈2,480 views48 reactions1 Starread 12 October 2026
Photo

Фразы для продаж (часть 1). Добавьте это в свою систему продаж, чтобы сделок было больше.

👍29⚡13❤5😎1

29 Sept 2026, 15:54 UTC≈1,940 views13 reactionsread 2 October 2026
Voice message

Мои выводы по опросу «Как дела с продажами в сентябре?» — почему считаю цифры удивительными — кто эти люди, которые сейчас ставят рекорды? — главное, что нужно делать для роста (мысль, которую транслировал год) — почему проголосовавших в опросе 2026 меньше? — как охваты в моем телеграм изменились за год? — как получаются более крутые результаты на меньших охватах Хорошего вечера!

👍10⚡3

29 Sept 2026, 11:47 UTC≈1,970 views27 reactionsread 2 October 2026
Photo

Вчера я спросил, как дела с продажами в сентябре. Точно такой же вопрос с такими же вариантами ответов я задавал год назад. Очень интересно посмотреть, как изменилась ситуация за год. Что думаете?

⚡14😐9❤4

28 Sept 2026, 08:27 UTC≈2,420 views10 reactionsread 2 October 2026
Poll

Как дела с продажами в сентябре?

  1. Полный провал, спад 😞43%
  2. Держимся на том же уровне 😐39%
  3. Ставим рекорды! 🏆18%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

😐4⚡3🏆3

Showing the 12 most recent of 74 posts we hold for @olegcloser. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Polls

The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

28 Sept 2026, 08:27 UTCAnonymous Poll597 voters

Как дела с продажами в сентябре?

  1. Полный провал, спад 😞43%
  2. Держимся на том же уровне 😐39%
  3. Ставим рекорды! 🏆18%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

1 Aug 2026, 12:12 UTCAnonymous Poll203 voters

Как думаете, что самое неэффективное в ваших продажах сейчас?

  1. Зависшие думают неделями 💭37%
  2. Работа с базой вообще не ведётся 😶‍🌫️18%
  3. Продаем в ноль или в минус лишь бы купили 🫠9%
  4. Нет нормальных менеджеров, РОПа 🤬9%
  5. У меня вообще нет никакой системы продаж 🥶26%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 74 most recent posts we hold, published 26 July 2026 to 19 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 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.

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.

Продажи в переписке. Говорухин
@money_from_text · 11,669
#1
Виталий Голицын
@VitalyGolitzyn · 26,721
#2
🥜БЕЛОЧКИНА ПРО ПРОДАЖИ🥜
@belochkinanastassia · 16,698
#3
Александр Кандеев
@factor_prodazh_channel · 4,101
#4
КРИНЖ В ПРОДАЖАХ 🌶
@oshibkivprodazhah · 2,645
#5
Альберт Тютин | Хакинг продаж
@sales_hacking_1 · 5,507
#6
ИИ + Отделы Продаж | Ильнур Сагдатуллин
@scriptsales · 1,699
#7
Я — предприниматель
@dashkievpro · 21,936
#8
Алсу Бикбаева. Консалтинг ИТ-компаний
@aterracons · 5,308
#9
ПЕРЕГОВОРНАЯ СРЕДА | Канал
@ryzovperegovory · 9,224
#10
Губкин | Про AI и B2B-продукты
@gubkin_business · 12,046
#11
Академия продаж
@b2bsales_academy · 1,818
#12
Валентин Бирюлин «Дружи и Продавай»
@druziprodavai · 4,963
#13
Кузница продаж / Бизнес и продажи
@kuznicaprodazh · 2,378
#14
Фокус на бизнес
@nechto_hard · 13,970
#15
VP of sales
@vpofsales · 1,744
#16
Трус Юлия про бизнес
@trusprobusiness · 37,311
#17
Продажи, с ЗАБОТОЙ о клиенте ❤️
@Vitaliya_Klimenko · 750
#18
💰 Фурсов о продажах
@dpfursov · 1,165
#19
Иван Ларцев
@ivan_lartsev · 13,800
#20
Битрикс24 для бизнеса
@bitrix24_ru · 29,150
#21
Терешев | Клиенты в недвижимости. Маркетинг для застройщиков и АН
@estate_money · 14,107
#22
1000 кейсов «Фактора продаж»
@factor_cases · 957
#23
Продажи с ИИ и amoCRM | Команда F5
@f5crm · 5,889
#24
Света Афанасьева
@engageforsales · 28,622
#25
Курбангалиев честно
@chestnome · 4,966
#26
Инструменты маркетолога
@profit_maker · 45,535
#27
Катерина Уколова💰
@UkolovaEkaterina · 8,335
#28
Александр Львов
@boringmarketer · 7,590
#29
Молянов
@molyanov_blog · 30,673
#30
Михаил Гребенюк
@grebenukm · 254,282
#31
Евгений Колотилов, 1000 инсайтов по продажам
@kolotiloff1 · 8,320
#32
Владимир Якуба
@vyakuba · 49,005
#33
Oleg Torbosov
@TorbosovLife · 107,015
#34
Игорь Рызов | Переговоры и продажи
@ryzov_igor · 46,716
#35
Заметки продавца B2B
@Salesnotes · 16,703
#36
Продажник +1
@floor_99 · 7,418
#37
Сергей Бойлерная
@kostenkovru · 8,257
#38
Михаил Дашкиев
@mikhaildashkiev · 44,712
#39
Корытин выкручивает конверсии
@nmiacm · 60,712
#40
Sokolovskiy
@sokolay · 109,172
#41
Телеграм Петроченкова
@petrochenkow · 46,808
#42
Путь эксперта. Свобода и деньги
@wayexpert · 1,080
#43
Анастасия Солнцева / Охотники за продажами
@avsoln · 5,310
#44
Арсен Маркарян Официальный
@arsenmarkarian · 155,007
#45
План продаж — Михаил Графский
@s_a_l_e_s · 3,800
#46
Маргулан Сейсембай
@MargulanSeissembai · 208,027
#47
Вдумчиво о продажах
@nikolaevsales · 5,388
#48
Как продать слона. Ася Барышева
@abarysheva777 · 2,856
#49
Оскар Хартманн
@Oskar_Hartmann · 93,892
#50
Игорь Манн
@mann_igor · 28,943
#51
Высшая Лига Продаж | Василий Рыжако
@masterskaya_prodazh · 1,951
#52
Радислав Гандапас
@radislavgandapascom · 52,726
#53
Аяз
@AyazShabutdinov · 178,337
#54
Максим Батырев
@Maxim_Batyrev · 20,690
#55
Нечто | Сообщество предпринимателей
@nechto_community · 23,208
#56
Сила продажів
@sila_p · 2,214
#57
Пинчер: двигатель для отделов продаж
@egorlivadin · 2,487
#58
SeniorPomidor
@saleseniorpomidor · 6,784
#59
Герман Гаврилов
@german_gavrilov · 18,651
#60
Mikhail Tokovinin
@mtokovinin · 108,772
#61
Артем Сенаторов печатает...
@senatorov_art · 30,623
#62
Виталий Крылов - Команда А
@howtomake10x · 17,149
#63
Седа Каспарова
@Seda_Kasparova_news · 255,965
#64
Максим Левченко
@levchenko_realty · 25,089
#65
Александр Высоцкий
@alexander_visotsky · 36,779
#66
Тёмная сторона / Темнографика
@temno · 79,351
#67
Дмитрий Норка | Доверие | Лидерство | Продажи
@dnorca · 6,691
#68
Телеграф Сургая | Вайб-маркетинг
@surgaygraf · 10,335
#69
Нескучные Финансы
@noboring_finance · 65,008
#70
Максим Спиридонов
@mspiridonov · 68,684
#71
Дмитрий Шамко
@shamko_pro · 1,187
#72
А что, так можно было? Максина Юля
@achtotakmozhno · 3,546
#73
ШАРГОРОДСКИЙ | ПРО БИЗНЕС
@DOROGO_GO · 4,589
#74
Руслан Гамзатов | AI маркетинг
@AIGamzatov · 33,652
#75
Гений переговоров | Ольга Грищенко
@kotperegovor · 43,005
#76
Битрикс24 печатает…
@bitrix24clients · 23,110
#77
Максим Агишев || Авито Маркетинг
@Agishev_Maksim · 5,881
#78
Строительство и бизнес
@RussiaBuild · 109,234
#79
Ольга Паратнова. Руководитель Разумный
@trenerolgaparatnova · 10,431
#80
Давид Саркисян
@DavidSSarkisyan · 631
#81
Оперштаб Игорь Рыбаков
@rybakovigor · 149,471
#82
Белоножко Александр | Главный по CEO
@BelonozhkoAleksandr · 3,071
#83
Канал Ильи Балахнина
@ilyabalahnin · 13,814
#84
Елена Коварская: продажи из соц. сетей
@marketingprodazhi · 1,930
#85
Пётр Осипов | записки о развитии
@petrosipovprivate · 48,260
#86
Кутергин в огне 🔥
@kutergin_on_fire · 61,891
#87
100%Шпирт
@Shpirt100 · 5,250
#88
Александр Фридман & Регулярный менеджмент
@asfridman · 7,924
#89
ROYAL BEACH SOCHI
@RoyalBeach_Evrostroy · 2,964
#90
Dzari
@DrDzari · 264,357
#91
Румянцев Рулит
@drumyanzev · 22,228
#92

Read from Telegram’s recommendation API, most recently 2 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.

Виталий Голицын
@VitalyGolitzyn · 26,721
Telegram ranks this channel #1 of 80 here — alongside 79 others — read 12 September 2026
Владимир Якуба
@vyakuba · 49,005
Telegram ranks this channel #10 of 82 here — alongside 81 others — read 26 August 2026
Игорь Рызов | Переговоры и продажи
@ryzov_igor · 46,716
Telegram ranks this channel #23 of 98 here — alongside 97 others — read 27 August 2026
Трус Юлия про бизнес
@trusprobusiness · 37,311
Telegram ranks this channel #47 of 88 here — alongside 87 others — read 31 August 2026
Король Говорит! Ораторское
@korolgovorit_school · 24,134
Telegram ranks this channel #53 of 94 here — alongside 93 others — read 17 September 2026
Максим Батырев
@Maxim_Batyrev · 20,690
Telegram ranks this channel #55 of 94 here — alongside 93 others — read 26 September 2026
Радислав Гандапас
@radislavgandapascom · 52,726
Telegram ranks this channel #58 of 90 here — alongside 89 others — read 24 August 2026
Александр Высоцкий
@alexander_visotsky · 36,779
Telegram ranks this channel #72 of 95 here — alongside 94 others — read 1 September 2026
Игорь Манн
@mann_igor · 28,943
Telegram ranks this channel #86 of 94 here — alongside 93 others — read 8 September 2026
Михаил Гребенюк
@grebenukm · 254,282
Telegram ranks this channel #91 of 95 here — alongside 94 others — read 10 August 2026

This channel appears in 10 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 26 October 2026 — this entry's latest reading, not the date you are reading this.

“Олег Шевелев” (@olegcloser), 35,203 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/olegcloser.

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.