Тысячи отзывов от реальных людей, прошедших обучение у наших менторов.
Осознанная Меркантильность: @m0rtymerr_channel
Помощь: @itmentors_help
Найти/Стать ментором: @find_it_mentor_bot
Сайт IT Менторы: https://it-mentors.ru/
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
33 measurements spanning 51 days, net +733. 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 22,624–23,578 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
26 Sept 2026, 11:22
23,468
+72
17 Sept 2026, 10:20
23,396
+15
15 Sept 2026, 08:17
23,381
+32
13 Sept 2026, 20:01
23,349
+61
12 Sept 2026, 05:17
23,288
+244
9 Sept 2026, 22:38
23,044
+21
6 Sept 2026, 17:01
23,023
+25
4 Sept 2026, 03:41
22,998
+25
2 Sept 2026, 18:28
22,973
+6
1 Sept 2026, 18:55
22,967
+19
31 Aug 2026, 15:28
22,948
+14
30 Aug 2026, 12:54
22,934
+14
29 Aug 2026, 14:13
22,920
+24
28 Aug 2026, 14:38
22,896
+5
27 Aug 2026, 14:04
22,891
+27
26 Aug 2026, 15:18
22,864
+29
25 Aug 2026, 14:24
22,835
+14
24 Aug 2026, 13:28
22,821
-2
21 Aug 2026, 11:43
22,823
+10
20 Aug 2026, 13:07
22,813
first reading
Engagement
246 posts held, back to 3 August 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.29%
avg views ÷ 23,468 subscribers
Avg views / post
1,710
55 posts measured
Reaction rate
0.471%
reactions ÷ views · ER floor
Posts in window
55
of 246 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 46 of 55 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 28 September 2026
Posts held
246 (3 August 2026 – 28 September 2026)
Views total
94,065
Reactions total
371
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Sept 2026, 13:56 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
≈222
Videos
≈16
Links
≈6,040
Lifetime counters from Telegram’s own channel header, read 28 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.
Reaction mix
1,790 reactions across 208 posts, in 14 distinct kinds. The most used accounts for 31.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
568
31.7%
🔥
468
26.1%
👍
228
12.7%
custom 5276311376892010436
145
8.10%
🤯
94
5.25%
😢
79
4.41%
😁
70
3.91%
custom 5323257658654860293
60
3.35%
💯
24
1.34%
🌭
20
1.12%
🤔
20
1.12%
😐
10
0.559%
😨
2
0.112%
😱
2
0.112%
Custom emoji. 2 of the rows above are 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 counts beside them are 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 228 of the 246 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 1,924 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 246 most recent posts we hold, published 3 August 2026 to 28 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.
Telegram Stars
Stars received
133
across the posts below
Posts paid on
12
of 246 we hold a reading for · 5%
Most on one post
114
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @it_mentors. 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 246 most recent posts we hold for this entry, published 3 August 2026 to 28 September 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.
🔥 Срок: 98 дней
💵 Оффер: 320000 руб. gross
Отзыв на ментора: @art185 #art185
Подробная информация о менторе: @art185
Специальность: Системный аналитик #системный_аналитик
Услуга: Без коммерческого опыта #без_коммерческого_опыта
320 000 без опыта
Это первый мой коммерческий опыт . До этого выполнял проекты для себя . Очень понравился формат подачи информации . Всё структурировано и удобно . Много комментариев про…
🎓 Срок: 229 дней
💵 Оффер: 480000 руб. gross
Отзыв на ментора: @nizov_as #nizov_as
Подробная информация о менторе: @nizov_as
Специальность: Machine Learning / Data Science #data_science
Услуга: Смена стэка / специальности #смена_стэка_и_специальности
#ai_вайбкодинг
Оффер на 480.000₽ окладом в NLP/LLM с нуля опыта в DS
О Саше узнал от своих хороших друзей и знакомых, все рассказывали о вкатывании в айтишку и о том…
🔥 Срок: 89 дней
💵 Оффер: 415000 руб. gross
Отзыв на ментора: @wolf_mentor #wolf_mentor
Подробная информация о менторе: @wolf_mentor
Специальность: Python #python
Услуга: С коммерческим опытом #c_коммерческим_опытом
До обучения у меня было меньше года коммерческого опыта. Работал в стартапе, но в какой-то момент он закрылся, и я остался без работы. Пару месяцев пытался искать самостоятельно, но нормального результ…
🎓 Срок: 321 день
💵 Оффер: 353000 руб. gross
Отзыв на ментора: @niyaz_go #niyaz_go
Подробная информация о менторе: @niyaz_go
Специальность: Go / Golang #go
Услуга: С коммерческим опытом #c_коммерческим_опытом
Я пришёл в менторство, когда работал программистом в небольшой компании в транспортной сфере и получал 60 тысяч до вычета налогов. На тот момент я вообще не понимал, как двигаться дальше. Публичные выступлени…
🎓 Срок: 386 дней
💵 Оффер: 206900 руб. gross
Отзыв на ментора: @edzi_qa #edzi_qa
Подробная информация о менторе: @edzi_qa
Специальность: QA / Тестирование #qa
Услуга: Без коммерческого опыта #без_коммерческого_опыта
Пришла в QA из совершенно другой сфера. Было высшее образование и работа по специальности, но со временем поняла, что это не то, чем хочу заниматься. А менять страшно. Хотела сменить профессию и получ…
🎓 Срок: 280 дней
💵 Оффер: 200000 руб. gross
Отзыв на ментора: @castello #castello
Подробная информация о менторе: @castello
Специальность: QA / Тестирование #qa
Услуга: Без коммерческого опыта #без_коммерческого_опыта
Про менторов я узнал по совету знакомого, а уже Мишу выбрал, опираясь на отзывы. Меня привлекло то, что Миша ведет обучение лично - именно этого я и искал, изучая отзывы на менторов от других ребят.…
Тебе пора изменить условия на текущем месте, либо уйти правильно и без потерь, а для этого надо научиться управлять своим временем, продуктивностью и уверенно претендовать на повышение.
Тариф, с которым ты научишься управлять своей продуктивностью и двигаться вперед: повысишь доход, расширишь экспертизу и укрепишь профессиональную уверенность.
Что внутри?
Как найти удаленку с оплатой в валюте,
Узнаешь рабочие страт…
Я объявляю акцию на ВСЕ ТАРИФЫ!
🔝 Подписка на 1 месяц - скидка 10%
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Действует до 4 октября, и ты зафиксируешь стоимость и защититься от любых повышений в следующем году!
Скидка как раз вовремя, потому что в тарифах уже появились инструменты для автоматизации найма, те самые, за которые на рынке платя…
Хочешь получать зарплату в валюте, не переезжая из страны?
Мы собрали видео про валютную удаленку в один бандл. Внутри весь маршрут выхода на зарубежный рынок: резюме и LinkedIn, поиск вакансий, собеседования, английский для IT-интервью, совмещение нескольких работ, зарплаты на зарубежном рынке, способы получать деньги от иностранной компании.
Бандл из 9 видео стоит 10 000 руб, но он весь входит в подписку «Волчара…
👍 Срок: 153 дня
💵 Оффер: 330000 руб. gross
Отзыв на ментора: @vsadnikwork #vsadnikwork
Подробная информация о менторе: @vsadnikwork
Специальность: Machine Learning / Data Science #data_science
Услуга: Без коммерческого опыта #без_коммерческого_опыта
Пишу с чужого аккаунта для сохранения анонимности, но можете смело писать сюда - готов ответить на любые вопросы.
У меня не самый типичный путь в ML: я уже достаточн…
🎓 Срок: 232 дня
💵 Оффер: 240000 руб. gross
Отзыв на ментора: @senior_ofpy #senior_ofpy
Подробная информация о менторе: @senior_ofpy
Специальность: Backend #backend
Услуга: Без коммерческого опыта #без_коммерческого_опыта
#python #backend
Очень долго не могла залететь в эту сферу. Несколько лет пыталась в соло, но на нынешнем рынке это сделать почти невозможно. Поэтому обратилась к Владу за помощью и не пожалела …
🎓 Срок: 263 дня
💵 Оффер: €12275 gross
Отзыв на ментора: @versechorus #versechorus
Подробная информация о менторе: @versechorus
Специальность: Machine Learning / Data Science #data_science
Услуга: Без коммерческого опыта #без_коммерческого_опыта
После более чем 15 лет карьеры в другой профессиональной области переход в IT был для меня большим и непростым шагом.
Ян помог мне пройти этот путь, системно подготовитьс…
Showing the 12 most recent of 246 posts we hold for @it_mentors. 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
@it_mentors 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
27 August 2026
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 22 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.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“IT менторы - отзывы на офферы” (@it_mentors), 23,468 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/it_mentors.
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.