🌍Рейтинги крупнейших технологических рынков России и мира
📊Исследования самых интересных рынков
📈Анализ точек роста
Связаться с менеджером: @elenasmartranking
По вопросам рекламы, папки: @janeon
Created
Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Job listings — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 91% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
25 measurements spanning 95 days, net -66. 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 7,441–7,588 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
9 Nov 2026, 16:56
7,493
-3
6 Nov 2026, 02:25
7,496
+32
3 Nov 2026, 07:45
7,464
-8
31 Oct 2026, 07:27
7,472
+14
27 Oct 2026, 22:47
7,458
-10
24 Oct 2026, 19:57
7,468
-20
21 Oct 2026, 17:58
7,488
-5
18 Oct 2026, 08:58
7,493
-12
15 Oct 2026, 09:55
7,505
-7
11 Oct 2026, 23:18
7,512
-16
5 Oct 2026, 09:02
7,528
-43
26 Sept 2026, 20:42
7,571
+19
15 Sept 2026, 04:02
7,552
-14
11 Sept 2026, 05:01
7,566
+8
6 Sept 2026, 06:40
7,558
-9
1 Sept 2026, 19:45
7,567
-3
30 Aug 2026, 00:42
7,570
+26
26 Aug 2026, 15:33
7,544
-16
19 Aug 2026, 23:45
7,560
-2
16 Aug 2026, 14:17
7,562
first reading
Engagement
72 posts held, back to 25 June 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 36 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.79%
avg views ÷ 7,493 subscribers
Avg views / post
434
36 posts measured
Reaction rate
1.19%
reactions ÷ views · ER floor
Posts in window
37
of 72 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. It is computed over the 34 of 36 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
72 (25 June 2026 – 11 November 2026)
Views total
15,631
Reactions total
177
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 17:01 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
≈1,090
Videos
≈52
Links
≈999
Lifetime counters from Telegram’s own channel header, read 11 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
32s
Average length
16s
Measured directly from 2 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
424 reactions across 65 posts, in 13 distinct kinds. The most used accounts for 34.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
146
34.4%
👍
94
22.2%
🔥
93
21.9%
👏
38
8.96%
😍
15
3.54%
💯
10
2.36%
custom 5319213852456402176
6
1.42%
🎉
6
1.42%
😨
6
1.42%
🤝
4
0.943%
😱
3
0.708%
🙏
2
0.472%
😢
1
0.236%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 65 of the 72 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 424 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 72 most recent posts we hold, published 25 June 2026 to 11 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
6
across the posts below
Posts paid on
5
of 70 we hold a reading for · 7%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AgencySmartRanking. 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 72 most recent posts we hold for this entry, published 25 June 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 14 of 37 posts held from the last 30 days (37.8%) 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).
ДПО прибавило 0,2% за девять месяцев
📉 По данным рейтинга Smart Ranking, выручка топ-50 компаний сегмента ДПО за девять месяцев 2026 года составила 32,53 млрд рублей против 32,48 млрд годом ранее. В III квартале рынок заработал 11,19 млрд рублей — на 0,8% больше, чем год назад.
Лидерами сегмента остаются «Яндекс Практикум» (2,55 млрд рублей, +2% год к году), Skillbox Holding (1,85 млрд рублей, +2,8%) и TutorPlace (…
Подключайтесь обсудить текущую ситуацию на рынке email-рассылок: https://speak.kinescope.io/ndi-qrqk-tqy
Говорить будем с лидером отрасли — Unisender 💙
Какие каналы работают? Во что вкладывать маркетинговые бюджеты? Как привлекать аудиторию?
Всех ждем!
🎙 Встречаемся сегодня в 16:00 мск!
Как меняется рынок email-рассылок, какие каналы коммуникации сегодня наиболее эффективны и как бизнесу выстраивать взаимодействие с аудиторией?
В прямом эфире обсудят:
🔹 Дарья Левушкина, директор по маркетингу Unisender — спикер эфира.
🔹 Ольга Врублевская, директор клиентского сервиса RTA — модератор дискуссии.
Присоединяйтесь!
🔗 Ссылка на подключение: https://speak.kinescope.…
ИИ и образование в 2026 году
Заметили ли вы, как часто в выступлениях коллег можно услышать, что зима близко, ИИ убивает образование? Даже здравомыслящие люди, периодически сообщают мне, что курсы больше никому не нужны.
Бесспорно, новые технологии меняют рынок. Но всё не так быстро случится, как об этом говорят. Итак, смотрим пруфы из трех отчетов:
1️⃣. Парадокс EdTech: спрос на обучение с ИИ есть, денег на прои…
TutorPlace: доступная подписка увеличила выручку в 19 раз
📈 TutorPlace увеличила выручку с 74,6 млн рублей в 2023 году до 1,42 млрд рублей в 2025-м. За два года показатель вырос примерно в 19 раз.
В основе роста — подписочная модель. Вместо продажи отдельных дорогих курсов компания предлагает доступ к обучению за 99 или 399 рублей в месяц.
TutorPlace не меняла модель в 2023–2025 годах: росли платящая аудитория и о…
Работа с внештатниками переходит под контроль платформ
📈 По данным рейтинга Smart Ranking, во II квартале 2026 года выручка сервисов альтернативной занятости выросла на 18,5% год к году, до 2,4 млрд рублей. Быстрее рынка росли процессинговые сервисы: на 25,3%, до 1,3 млрд рублей.
Спрос на гибкую занятость поддерживает динамику: в I квартале число предложений с посменной оплатой на «Авито Подработке» увеличилось на …
Бейдж Smart 500 для вашего сайта
🏆 Если ваша компания вошла в Smart 500 — рейтинг быстрорастущих технологических компаний России, — об этом стоит говорить клиентам, партнерам и инвесторам.
Теперь каждый участник рейтинга получает бейдж Smart 500 прямо на сайте Smart Ranking:
🔹перейдите по ссылке ниже и зарегистрируйтесь
🔹выберите свою компанию
🔹сконфигурируйте внешний вид бейджа (есть премиальные опции)
🔹скопируйт…
Как компании выбирают внешнее обучение: исследование запросов и ожиданий заказчиков
Исследования рынка помогают увидеть не только его объём и динамику, но и понять, что на самом деле нужно клиентам: какие задачи они решают, чего ждут от продуктов и с какими ограничениями сталкиваются.
Такой подход применим и к рынку корпоративного обучения. Например, почему компании привлекают внешних провайдеров? Какие задачи им д…
Домашняя школа стала самым быстрорастущим сегментом edtech
📈 По данным исследования Smart Ranking, в III квартале 2026 года выручка сегмента домашней школы выросла на 37,3% год к году — до 3 млрд рублей. Это самая высокая динамика среди сегментов edtech: подготовка к экзаменам прибавила 35,2%, а вся сотня крупнейших компаний — 11,6%.
На эфире Smart Ranking участники рынка назвали разные причины роста.
Андрей Сизов…
#smart_среда
Маркетинг 2026: как удерживать клиентов и повышать эффективность коммуникаций
🗓 11 ноября, в 16:00 мск
Привлечение клиентов дорожает, а маркетинговые бюджеты сокращаются. Как удерживать аудиторию, увеличивать повторные продажи и получать больше отдачи от маркетинга?
На эфире Smart Ranking обсудим итоги исследования рынка маркетинговых рассылок и новые подходы к клиентским коммуникациям.
Участники:
…
Как понять, что образовательный продукт действительно работает?
В EdTech принято обсуждать продажи, новые технологии и т.д.
Но есть ещё один вопрос, который напрямую касается будущего образовательного бизнеса:
насколько качественно мы учим и как это качество оценивать?
Разобраться в этом помогает Telegram-канал «Лаборатория онлайн-обучения».
Его автор — Михаил Осипов, образовательный консультант (более 1000 часов …
🚀19 ноября в Москве пройдет конференция Digital Learning ДВИЖ «НезаменИИмые».
Digital Learning ДВИЖ «НезаменИИмые» — это новая концепция и площадка конференции «Digital Learning 2026: ИТОГИ ГОДА» и финала Премии Digital Learning 2026.
Кому стоит посетить?
Специалистам по обучению, HR, L&D, EdTech, корпоративных университетов, руководителей и предпринимателей.
В программе:
➗ 50% практики: Мастер-класс по разработке …
👍1🔥1
Showing the 12 most recent of 72 posts we hold for @AgencySmartRanking. 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.
Posts edited after publishing
@AgencySmartRanking 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
12 August 2026
Most recent edit
7 November 2026
Posts recorded as deleted after publishing
We recorded 5 posts on @AgencySmartRanking 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
18 August 2026
Most recent seen missing
9 November 2026
Median time before seen missing
8 days
Seen missing in the last 30 days
1
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 157%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 72 most recent posts we hold, published 25 June 2026 to 11 November 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.
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 6 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.
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.
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.
Егошин | Кеды профессора @egoshin_kedprof · 19,495 Telegram ranks this channel #7 of 96 here — alongside 95 others — read 4 October 2026
Эдтехно | образование @edtexno · 21,431 Telegram ranks this channel #8 of 99 here — alongside 98 others — read 24 September 2026
Образование, которое мы заслужили @ru_education · 42,253 Telegram ranks this channel #32 of 98 here — alongside 97 others — read 29 August 2026
Академия Эдюсон (Eduson) @edusondaily · 20,084 Telegram ranks this channel #46 of 96 here — alongside 95 others — read 28 September 2026
Skillbox: образовательная платформа @skillboxru · 36,275 Telegram ranks this channel #46 of 97 here — alongside 96 others — read 3 September 2026
The Future Of Work @thefutureofwork · 21,193 Telegram ranks this channel #57 of 99 here — alongside 98 others — read 26 September 2026
Учи.ру для родителей @uchi_ru_official · 36,318 Telegram ranks this channel #57 of 91 here — alongside 90 others — read 1 September 2026
Нетология @netology_ru · 26,720 Telegram ranks this channel #75 of 96 here — alongside 95 others — read 10 September 2026
Теории и Практики @tandp_ru · 22,002 Telegram ranks this channel #87 of 100 here — alongside 99 others — read 21 September 2026
Диссертация | Наталья Киреева | О научных статьях и диссертациях @kireeva_science · 21,239 Telegram ranks this channel #89 of 96 here — alongside 95 others — read 25 September 2026
Школа мышления. Вояж в страну загадок. @shkolamishleniA · 22,756 Telegram ranks this channel #92 of 97 here — alongside 96 others — read 20 September 2026
This channel appears in 11 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Smart Ranking” (@AgencySmartRanking), 7,493 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/AgencySmartRanking.
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.