Telegram RegisterThe public register of Telegram

Channel

Репетитор на миллион

@schooloftutors

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry

3,460subscribers

-4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001276511077
TypeChannel
Username@schooloftutors
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/schooloftutors

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 11 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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.

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 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@academy_tutors/19448 May 2026, 13:09 UTC@schooloftutors/2402 · this entry9 May 2026, 11:32 UTC1.0022 hours
@academy_tutors/194513 May 2026, 12:17 UTC@schooloftutors/2403 · this entry13 May 2026, 12:17 UTC1.00under a minute
@academy_tutors/194719 May 2026, 05:32 UTC@schooloftutors/2404 · this entry19 May 2026, 05:32 UTC1.00under a minute
@academy_tutors/194819 May 2026, 13:07 UTC@schooloftutors/2405 · this entry19 May 2026, 13:07 UTC1.00under a minute
@academy_tutors/195227 May 2026, 06:07 UTC@schooloftutors/2410 · this entry27 May 2026, 06:07 UTC1.00under a minute
@schooloftutors/2400 · this entry7 May 2026, 07:01 UTC@tutor_online_course/8677 May 2026, 07:02 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@academy_tutors13 (8/8 hand-verifiable sample passed)1.00under a minute@academy_tutors (85)
@tutor_online_course7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (61)

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 8 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 19 comparable posts for this entry, running 28 March 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 3, the earliest publisher we hold is @schooloftutors — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · 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 2 other registered channels, 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

3,4603,4643,4627 August 2026 — 3,464 subscribers7 August 2026 — 3,464 subscribers10 August 2026 — 3,460 subscribers7 August 202610 August 2026
3 measurements spanning 3 days, net -4. 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 3,459–3,465 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 10:563,460-4
7 Aug 2026, 18:133,464no change
7 Aug 2026, 17:473,464first reading

Engagement

20 posts held, back to 28 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.54%
avg views ÷ 3,460 subscribers
Avg views / post
122
3 posts measured
Reaction rate
0.581%
reactions ÷ views · ER floor
Posts in window
3
of 20 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 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (28 March 20267 August 2026)
Views total367
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:54 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.

Reaction mix

8 reactions across 6 posts, in 5 distinct kinds. The most used accounts for 25.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
225.0%
❤‍🔥225.0%
👍225.0%
🔥112.5%
😁112.5%

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 6 of the 20 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 8reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 28 March 2026 to 7 August 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.

Recent posts

7 Aug 2026, 15:33 UTC55 viewsread 7 August 2026
Photo

Все самое полезное теперь в отдельном Telegram-канале За последние годы наше сообщество сильно выросло. Ученики уже заработали более 1,5 млрд рублей, а вместе с этим стало намного больше вебинаров, эфиров, интервью и новых материалов. И мы поняли одну вещь. Многие полезные идеи, рабочие связки и практические инструкции просто теряются в общем потоке контента. Хотя именно их хочется быстро найти, сохранить и внедри

4 Aug 2026, 09:07 UTC140 viewsread 7 August 2026
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🔴 Мы уже в эфире! Вебинар Людмилы Михеевой «Почему одни репетиторы годами остаются на одном уровне, а другие продолжают расти» уже начался. Сейчас разбираем: ✔️ какие этапы проходит репетитор на пути роста; ✔️ что мешает двигаться дальше, даже если вы сильный специалист; ✔️ как понять, какой следующий шаг нужен именно вам. Подключайтесь сейчас, чтобы не пропустить основную часть встречи. 👉 https://schoolsmart.

26 Jul 2026, 09:39 UTC172 views1 reactionsread 7 August 2026
Forwarded from @teachers_starsPhoto

28 июля проведу бесплатный вебинар о звездных преподавателях ⭐️ Зарегистрироваться Зарегистрироваться Зарегистрироваться Последний месяц я исследую тему, которая, на мой взгляд, будет сильно влиять на образовательный рынок в ближайшие годы. Почему одни преподаватели остаются просто хорошими специалистами, а за другими идут ученики, формируется аудитория и выстраивается большой доход? Я называю это преподавательск

😁1

5 Jun 2026, 07:18 UTC446 viewsread 7 August 2026
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Мы открыли возможность пройти персональный аудит с ТОП-экспертами Schoolsmart. Аудит вашего бизнеса Аудит вашего бизнеса Аудит вашего бизнеса Если вы чувствуете, что готовы к следующему уровню роста, но хотите понять: 🔹 где у вас сейчас самый большой потенциал; 🔹 какие решения сильнее всего повлияют на доход и масштаб; 🔹 что уже можно усиливать в продукте, системе, маркетинге или управлении; — аудит поможет увидет

3 Jun 2026, 09:00 UTC350 viewsread 7 August 2026
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🚀 Эфир уже запущен, подключайтесь! Юрий Спивак уже скоро начнет вебинар: «Эволюция. Как перейти от первых продаж к системному росту онлайн-школы» Ссылка на подключение 👇 https://us02web.zoom.us/j/89885099049

3 Jun 2026, 06:37 UTC336 viewsread 7 August 2026
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🚀 Уже сегодня в 12:00 мск Юрий Спивак проведет вебинар: «Эволюция. Как перейти от первых продаж к системному росту онлайн-школы» Поговорим о том, как репетитору или владельцу образовательного проекта перейти от личной практики к системному росту онлайн-школы. На вебинаре разберем: 🔹 как выглядит самая высокооплачиваемая профессия в мире 🔹 5 признаков, которые показывают, что вы можете зарабатывать в разы больше

27 May 2026, 06:07 UTC392 viewsread 7 August 2026
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🎉 Schoolsmart — в финале GetAward 2026 сразу в трёх номинациях. Мы вышли в финал в номинациях: — «Обучение года» — «Онлайн-школа года. Дети» — «Онлайн-школа года. Дети» в категории «Выбор GetCourse» Когда-то Schoolsmart начинался как идея создать для репетиторов место, где можно не просто изучать инструменты, а постепенно выстраивать более устойчивую и масштабируемую модель работы. За это время через наши программ

25 May 2026, 13:46 UTC353 viewsread 7 August 2026
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🔥Мы запускаем новое маркетинговое агентство для репетиторов и онлайн-школ Последние годы мы очень глубоко работали с темой роста репетиторов: Авито, Профи.ру, Telegram, VK, Reels, блогеры, диагностики, продажи, воронки, AI-инструменты, упаковка онлайн-школ и системное привлечение учеников. И в какой-то момент стало понятно: ‼️рынок сильно изменился. Сейчас уже недостаточно просто быть хорошим преподавателем. Выи

19 May 2026, 13:07 UTC425 viewsread 7 August 2026
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❤️Сегодня последний день голосования GetAward 2026. И если честно, нам очень хочется попросить вас поддержать Schoolsmart именно сегодня. За этой номинацией для нас стоят не просто проценты на сайте и не просто участие в премии. За ней — годы работы, огромное количество репетиторов, которые вместе со Schoolsmart меняли свою модель работы, росли в доходе, собирали группы, открывали онлайн-школы и постепенно выходил

19 May 2026, 05:32 UTC390 views1 reactionsread 7 August 2026
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Штаб захвата рынка образования🎓💰 Всем привет! На связи Юрий Спивак. Я создал закрытый канал «Штаб захвата рынка образования». Сейчас внутри него мы вместе с участниками SchoolSmart формируем маркетинговое агентство для репетиторов и онлайн-школ. И именно сейчас, на старте, у вас есть возможность напрямую повлиять на то, каким это агентство станет. 🔥 Какие услуги появятся первыми 🔥 Какие инструменты будем запускат

1

13 May 2026, 12:17 UTC414 views2 reactionsread 7 August 2026
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🥳 Schoolsmart снова номинирован на премию GetAward 2026. Когда мы только начинали, нам хотелось создать для репетиторов место, где можно не просто учиться новым инструментам, а постепенно выстраивать более устойчивую и спокойную модель работы. Без ощущения, что рост возможен только через ещё больше часов, нагрузки и постоянной гонки. ❤️За эти годы через Schoolsmart прошло огромное количество репетиторов с очень раз

❤‍🔥2

9 May 2026, 11:32 UTC422 viewsread 7 August 2026
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🌴Открыли продажи офлайн-конференции Schoolsmart в Сочи 25–27 июня встречаемся в Сочи на трёхдневной конференции для репетиторов и владельцев онлайн-школ. Сейчас билет стоит 6 500 ₽, и по этой цене осталось всего 19 мест. Офлайн-конференция в Сочи Офлайн-конференция в Сочи В этот раз конференция будет про переход на другой уровень работы. Не только про “как найти ещё учеников”, а про то, как выстроить школу, кома

Showing the 12 most recent of 20 posts we hold for @schooloftutors. 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.

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.

13 Apr 2026, 06:16 UTCAnonymous Poll41 voters

Используете Авито для поиска учеников?

  1. 👍 Да, и есть результат22%
  2. 🤔 Да, но нестабильно29%
  3. ❌ Пробовал(а), не пошло22%
  4. ➖Пока не использую27%

Shares as published. 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 20 most recent posts we hold, published 28 March 2026 to 7 August 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

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

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.

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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Репетитор на миллион” (@schooloftutors), 3,460 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/schooloftutors.

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.