Other / unclassifiable — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 67% 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
35 measurements spanning 50 days, net +34,561. 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 695,714–747,955 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
25 Sept 2026, 00:38
741,927
+8,792
18 Sept 2026, 16:36
733,135
-999
16 Sept 2026, 08:35
734,134
-1,030
14 Sept 2026, 13:18
735,164
+5,016
12 Sept 2026, 23:41
730,148
-1,415
11 Sept 2026, 03:57
731,563
+29,821
8 Sept 2026, 08:40
701,742
-596
5 Sept 2026, 02:41
702,338
-229
3 Sept 2026, 05:58
702,567
-354
1 Sept 2026, 21:48
702,921
-298
31 Aug 2026, 19:13
703,219
-255
30 Aug 2026, 17:56
703,474
-176
29 Aug 2026, 21:03
703,650
-252
28 Aug 2026, 23:05
703,902
-239
28 Aug 2026, 01:24
704,141
-232
27 Aug 2026, 00:58
704,373
-190
26 Aug 2026, 01:07
704,563
-200
25 Aug 2026, 04:38
704,763
-132
24 Aug 2026, 02:24
704,895
-180
22 Aug 2026, 12:27
705,075
first reading
Engagement
194 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 113 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.72%
avg views ÷ 741,927 subscribers
Avg views / post
42,400
117 posts measured
Reaction rate
4.12%
reactions ÷ views · ER floor
Posts in window
117
of 194 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 30 September 2026
Posts held
194 (29 July 2026 – 30 September 2026)
Views total
4,965,150
Reactions total
204,428
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Sept 2026, 07:44 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
≈3,240
Videos
≈677
Links
≈3,330
Lifetime counters from Telegram’s own channel header, read 30 September 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
28m 54s
Average length
41s
Measured directly from 42 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
325,861 reactions across 191 posts, in 5 distinct kinds. The most used accounts for 41.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
134,380
41.2%
🔥
100,214
30.8%
👍
80,743
24.8%
🎉
5,860
1.80%
🤔
4,664
1.43%
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 194 of the 194 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 330,893 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 194 most recent posts we hold, published 29 July 2026 to 30 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
ЧТО ПРИГОТОВИЛ ВТОРОЙ ДЕНЬ МОСКОВСКОГО СТАРТАП-САММИТА ➡️
Сегодня в СберСити продолжаем разговоры о технологиях, которые могут изменить привычные отрасли.
В программе:
🔹Карло Ровелли — о рождении новых идей
Профессор Центра теоретической физики Университета Экс-Марсель расскажет, почему даже самые убедительные идеи нужно проверять, а ошибки могут становиться началом научного прорыва.
🔹Люк Бессон — об искусственно…
ПЕРВЫЙ ДЕНЬ ➡️➡️➡️➡️➡️➡️➡️➡️ ЗАВЕРШЁН!
Собрали главное, что произошло сегодня в СберСити:
✔️ Обсудили, как технологии меняют повседневную жизнь
Герман Греф и Сергей Собянин поговорили об использовании ИИ и стартапах, а также как помогать молодым технологическим проектам тестировать идеи, находить поддержку и расти.
✔️ Провели демо-день международного акселератора Sber500
Лучшие стартапы международного IT-акселерат…
БУДУЩЕЕ — ЗДЕСЬ 🚀
На Московском стартап-саммите царит бИИзнес обстановка.
Сотни предпринимателей сегодня показали решения, которые уже завтра начнут менять жизни миллионов людей.
#️⃣#️⃣#️⃣ тоже привезла с собой самое интересное, чтобы гости увидели, как будущее выглядит на практике.
Подсняли для вас небольшой кружок с атмосферой дня📍
😎 Чувствую себя настоящим бизнескотом.
🏦 Подписывайтесь на Сбер в MAX
КАК ТЕХНОЛОГИИ СТАНОВЯТСЯ ПРИВЫЧКОЙ ДЛЯ МИЛЛИОНОВ 🆗
Об этом сегодня говорили на главной сцене Московского стартап-саммита Герман Греф и Сергей Собянин.
Ключевая идея разговора — что помогает инновациям выходить за пределы технологий и становиться частью повседневной жизни.
➡️ Президент и Председатель Правления Сбера Герман Греф:
➡️ Сбер создал систему венчурного капитала, которая помогает поддерживать стартапы на…
➡️➡️➡️➡️➡️➡️➡️➡️ НАЧАЛСЯ!
🔮 29 и 30 сентября на площадке СберСити в пространстве крупнейшего кампуса «Школы 21» вместе с Правительством Москвы проводим саммит, где встречаются те, кто уже сегодня думает о нашем будущем. Подключайтесь к прямой трансляции!
Более 150 российских и зарубежных экспертов, футурологов, инвесторов и основателей стартапов обсудят технологии, которые меняют привычные индустрии.
🧷 Эксперты бу…
221+ КИЛОМЕТР МЫ ПРОБЕЖАЛИ ВМЕСТЕ 🏃
Марафонский сезон позади, но эмоции до сих пор с нами.
Оглядываясь назад, мы понимаем: это было гораздо БОЛЬШЕ, чем просто забеги.
🏆 Пять стартов
🏆 Четыре города
🏆 700 тысяч участников
Мы встречались на разных дистанциях, поддерживали друг друга и болели за каждого марафонца. Восстанавливали силы в велнес-зонах и сделали более 10 тысяч персональных гравировок на медалях со Сбер…
КРЕДИТНАЯ ИСТОРИЯ ЗАПОМИНАЕТ не оправдания, а ДЕЙСТВИЯ ✅
Иногда одна и та же кредитная история выглядит совсем по-разному. Для вас это «пара мелочей», а для банка — уже сигнал присмотреться внимательнее.
Хорошая новость в том, что кредитную историю можно держать под контролем. Например, вовремя проверять данные и отслеживать возможные ошибки.
Что обычно работает в плюс и выглядит как «зелёный флаг»:
🏦 Платежи без…
КАКИМИ БУДУТ ПРОГНОЗЫ ПО НЕДВИЖИМОСТИ НА 2027 ГОД? 🏨
Узнаем 10 декабря на юбилейной 10-й Domclick Digital Day — ежегодной конференции о том, каким будет рынок недвижимости завтра.
Лидеры Сбера и Домклик, эксперты российского и международного рынков встретятся, чтобы обсудить главные тренды, сверить прогнозы на 2027 год и посмотреть на лучшие зарубежные практики.
✅ Среди спикеров — Кирилл Царёв, Александр Ведяхин, …
НУЖНА ПОМОЩЬ СО СВЯЗЬЮ?
🛍️ Спросите у ГигаЧата на сайте СберМобайла.
Наша нейросеть появилась на сайте СберМобайла и теперь помогает разобраться с вопросами о мобильной связи.
Нужно быстро понять, как подобрать пакет услуг, настроить автоплатёж или заказать детализацию расходов? ГигаЧат подскажет, что делать, и даст пошаговую инструкцию.
А ещё нейросеть расскажет, как:
💻 Оформить eSIM или получить SIM-карту
💻 Пе…
ВАМ ОТПРАВИЛИ НАМЁК НА ПУТЕШЕСТВИЕ 🚀
Прямо во Всемирный день туризма. Вот так совпадение!
У каждого есть место, куда хочется сбежать хотя бы на несколько дней. Теперь его можно не просто представить, а отправить человеку и превратить мечту о поездке В ОБЩИЙ ПЛАН.
🌏 «До встречи где-нибудь» от Сбера помогает превратить мечту о поездке в реальное путешествие. Выбирайте места в России, куда давно хотелось съездить, и …
ДВА ДНЯ НА МАКСИМАЛЬНОМ ЗАРЯДЕ 🔝
СберПрайм Московский Марафон ЗАВЕРШЁН — и как! Вчера взрослые марафонцы пробежали дистанцию 10 км, а юные спортсмены сделали уверенные шаги в большом беговом мире.
Между стартами жизнь кипела не меньше: участники и болельщики знакомились, участвовали в активностях в нашей бренд-зоне СберПрайм, поддерживали бегунов и просто наслаждались большим спортивным праздником.
🏃 А уже сегодн…
🔥809❤310👍202🎉62🤔31
Showing the 12 most recent of 194 posts we hold for @sberbank. 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
@sberbank edited 3 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
29 August 2026
Most recent edit
23 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 83 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 144 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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.
Кинопоиск | Фильмы и сериалы @kinopoisk · 804,634#86
Read from Telegram’s recommendation API, most recently 8 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.
Вам почта! @russianpochta · 40,560 Telegram ranks this channel #1 of 77 here — alongside 76 others — read 26 September 2026
Салют, это SberDevices @sber_devices · 22,217 Telegram ranks this channel #1 of 92 here — alongside 91 others — read 21 September 2026
СберМобайл @sbermobile_official · 24,056 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 16 September 2026
ВТБ Крым @vtbkrym · 31,646 Telegram ranks this channel #1 of 77 here — alongside 76 others — read 5 September 2026
Банки.ру @bankiruofficial · 57,476 Telegram ranks this channel #1 of 85 here — alongside 84 others — read 23 August 2026
СберПремьер @sberpremiernew · 107,258 Telegram ranks this channel #1 of 85 here — alongside 84 others — read 15 August 2026
Карьера в Сбере! @careersber · 136,008 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 13 August 2026
Яндекс Пэй @yandexfintech · 179,648 Telegram ranks this channel #1 of 88 here — alongside 87 others — read 12 August 2026
СберБизнес @sberbusiness · 241,010 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 11 August 2026
GigaChat @official_gigachat · 307,595 Telegram ranks this channel #1 of 92 here — alongside 91 others — read 10 August 2026
СберУниверситет @sber_university · 24,091 Telegram ranks this channel #2 of 100 here — alongside 99 others — read 17 September 2026
Первый инвестиционный @am_first · 49,303 Telegram ranks this channel #2 of 89 here — alongside 88 others — read 25 August 2026
МегаФон @megafon_online · 63,617 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 21 August 2026
Почта @pochtabank · 111,465 Telegram ranks this channel #2 of 62 here — alongside 61 others — read 17 August 2026
Газпромбанк @gazprombank · 89,605 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 17 August 2026
Столото @aboutstoloto · 116,915 Telegram ranks this channel #2 of 29 here — alongside 28 others — read 14 August 2026
СберИнвестиции @SberInvestments · 253,061 Telegram ranks this channel #2 of 92 here — alongside 91 others — read 10 August 2026
Госуслуги @gosuslugi · 995,519 Telegram ranks this channel #2 of 86 here — alongside 85 others — read 8 August 2026
Дайджест @blogbankir · 78,132 Telegram ranks this channel #3 of 77 here — alongside 76 others — read 28 September 2026
Ростелеком @rostelecomofficial · 23,404 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 18 September 2026
hh.ru @hh_ru_official · 90,584 Telegram ranks this channel #3 of 83 here — alongside 82 others — read 10 September 2026
GamersHub @gamershubrus · 32,096 Telegram ranks this channel #3 of 58 here — alongside 57 others — read 5 September 2026
Перекрёсток @perekrestok_store · 131,270 Telegram ranks this channel #3 of 53 here — alongside 52 others — read 15 August 2026
Т-Банк @tbank · 331,521 Telegram ranks this channel #3 of 90 here — alongside 89 others — read 10 August 2026
This channel appears in 261 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.
Domains linked from posts
10 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Сбер” (@sberbank), 741,927 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/sberbank.
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.