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Channel

Глеб Михайлов

@mikhaylovgleb

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

14,160subscribers

+49 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001451120475
TypeChannel
Username@mikhaylovgleb
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/mikhaylovgleb

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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

13,91314,16014,036.57 August 2026 — 14,111 subscribers8 August 2026 — 14,106 subscribers9 August 2026 — 14,107 subscribers10 August 2026 — 14,106 subscribers11 August 2026 — 14,095 subscribers12 August 2026 — 14,085 subscribers13 August 2026 — 14,078 subscribers14 August 2026 — 14,062 subscribers16 August 2026 — 14,057 subscribers17 August 2026 — 14,052 subscribers18 August 2026 — 14,040 subscribers19 August 2026 — 14,023 subscribers20 August 2026 — 14,016 subscribers21 August 2026 — 13,993 subscribers23 August 2026 — 13,984 subscribers24 August 2026 — 13,963 subscribers25 August 2026 — 13,956 subscribers26 August 2026 — 13,950 subscribers27 August 2026 — 13,935 subscribers28 August 2026 — 13,933 subscribers30 August 2026 — 13,919 subscribers31 August 2026 — 13,913 subscribers1 September 2026 — 13,915 subscribers2 September 2026 — 13,920 subscribers6 September 2026 — 13,932 subscribers9 September 2026 — 13,977 subscribers11 September 2026 — 14,031 subscribers13 September 2026 — 14,087 subscribers15 September 2026 — 14,123 subscribers17 September 2026 — 14,160 subscribers7 August 202617 September 2026
30 measurements spanning 41 days, net +49. 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 13,876–14,197 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
17 Sept 2026, 08:4014,160+37
15 Sept 2026, 07:0014,123+36
13 Sept 2026, 17:1714,087+56
11 Sept 2026, 23:5514,031+54
9 Sept 2026, 11:5613,977+45
6 Sept 2026, 07:1813,932+12
2 Sept 2026, 18:1613,920+5
1 Sept 2026, 19:4313,915+2
31 Aug 2026, 17:0413,913-6
30 Aug 2026, 15:2813,919-14
28 Aug 2026, 14:0613,933-2
27 Aug 2026, 16:2513,935-15
26 Aug 2026, 13:4513,950-6
25 Aug 2026, 16:1213,956-7
24 Aug 2026, 16:1313,963-21
23 Aug 2026, 03:2513,984-9
21 Aug 2026, 16:3813,993-23
20 Aug 2026, 12:4514,016-7
19 Aug 2026, 16:1714,023-17
18 Aug 2026, 15:2314,040first reading

Engagement

38 posts held, back to 14 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 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.3%
avg views ÷ 14,160 subscribers
Avg views / post
1,880
8 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
8
of 38 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 2 September 2026
Posts held38 (14 July 2026 – 2 September 2026)
Views total15,050
Reactions total177
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 20:44 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

Video runtime
1h 17m
Average length
4m 49s

Measured directly from 16 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

1,155 reactions across 38 posts, in 8 distinct kinds. The most used accounts for 36.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 540915239607495273341636.0%
😁34329.7%
❤16814.5%
🔥12811.1%
👍635.45%
custom 5429363803500338694292.51%
custom 539095000255195489770.606%
🎉10.087%

Custom emoji. 3 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 38 of the 38 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 1,155 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 14 July 2026 to 2 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.

Recent posts

2 Sept 2026, 12:06 UTC≈1,120 views55 reactionsread 2 September 2026
Photo

Что делать если офисного кореша сделали твоим начальником? - в первую очередь посочувствуй ему. Ведь теперь ему придётся работать - когда кореш начнет давать задачи -- критически важно не делать их сразу, а нащупать верхнюю границу вашей дружбы. Возможно тебе больше никогда не придется работать - кореш корешем, но теперь ты в уязвимом положении. Отсмотри все фотографии с прошлых корпоративов, чтобы найти компромет…

😁48👍5🔥2

31 Aug 2026, 11:51 UTC≈1,670 views9 reactionsread 2 September 2026

Решить задачу недостаточно: 3 истории про лайвкодинг и презентацию на интервью. Дома можно спокойно подумать, посмотреть другие решения, переписать код. На собеседовании нужно одновременно решать задачу, рассуждать вслух, защищать выбор подхода и отвечать на вопросы интервьюера. Это отдельный навык, который тоже можно (и нужно) натренировать. 🐆 Настя Сухоносенко, Data Scientist https://t.me/mikhaylovgleb_otzuvu/…

custom 54091523960749527337❤2

31 Aug 2026, 07:33 UTC≈1,840 views21 reactionsread 2 September 2026

⚡️ BREAKING ALGO NEWS!!! Шок! После годичного перерыва Глеб Михайлов снова лично ведёт лайфкодинги на курсе по алгоритмам! *** Да, это чистая правда. На выходных решил, что очень сильно соскучился по живой работе с учениками. Поэтому 18й поток буду вести сам. Всего за курс предусмотрено 10 групповых совзонов, где отработаем решение самых важных задачек вживую в Zoom, как на собесах.

🔥17custom 54091523960749527334

29 Aug 2026, 12:14 UTC≈2,010 views10 reactionsread 2 September 2026

Уметь решать Easy уже не достаточно( Сейчас на собесах ты получаешь в основном Medium. И не только на разрабов, но и на дс, да, де, мле. Может казаться, что Medium задачи это уже какая-то заумь для олимпиадников или гениев вундеркиндов. Но проблема не в уровне интеллекта. Чтобы решать Medium, нужно изучить основные паттерны и научиться узнавать их в новых условиях. 1️⃣ Фёдор Азаров, Data Scientist в Сбере https:…

❤6custom 54091523960749527334

28 Aug 2026, 13:26 UTC≈1,910 views7 reactionsread 2 September 2026

на посошок сегодня СДВГ-разбочик задачи на сантехника в Яндекс 😀 https://youtube.com/shorts/BHHj0xHcKwA?si=E2qaxTKWgHsthTyI Хорошей пятницы!

😁5❤2

28 Aug 2026, 06:59 UTC≈2,030 views25 reactionsread 2 September 2026

Вендетта Яндексу Я просто обожаю, когда люди приходят ко мне с такой мотивацией. После заваленного алго-собеса в Яндекс, да и любой другой биг тех, обычно дают 6 месяцев на охлаждение траханья так сказать. И мне очень близка эмоция, что после этого хочется отомстить. У тебя есть 6 месяцев, чтобы как Граф Монте-Кристо, чщательно подготовиться к алгоритмической мести. Причем не обязательно даже хотеть там работат…

custom 540915239607495273318😁5❤2

27 Aug 2026, 07:28 UTC≈2,160 views14 reactionsread 2 September 2026
Video

Айтишник без алгоритмов как самолёт без крыльев На твою экспертизу никто не посмотрит. Интервью по специальности просто не назначат, пока не проёдешь алго-секцию. Ты можешь быть супер-крутым экспертом, но останешься без работы, и никто никогда не узнает, насколько ты крут. Почему алгоритмы — это 10 из 10 по важности лично для тебя: • Машина без прав: твоя экспертиза — крутая тачка с кожей-рожей, но без алгоритмо…

custom 540915239607495273312❤2

26 Aug 2026, 12:01 UTC≈2,310 views36 reactionsread 2 September 2026
Video

Травма вайб-кодингом. Бывало такое (похлопайте если бывало): сидишь как ждун, пока ИИ-агент за тебя докодит? Бесконечно переключаешь вкладки, и в итоге весь на нервах и голове каша? В 10-м выпуске алгоновостей обсуждаем как вайб-кодинг влияет на мозг и нервную систему. Навыки кодинга атрофируются, а мозг перегружается от ожидания, проверки работы ИИ-агентов и количества решения которые нужно принять. Алгоритмы — …

custom 540915239607495273322❤9👍5

25 Aug 2026, 12:02 UTC≈2,350 views34 reactionsread 2 September 2026
Video

Менделееву приснилась таблица, а мне таблиська! В 9-м выпуске алгоновостей никаких разборов. Сегодня идём за кулисы курса, которому идёт уже 3й год. Что нового? • Озарение во сне: проснулся ночью и перенёс «скользящее окно» и «кучу» в начало. Раньше берёг новичков, но понял недооцениваю. • Оценки: NPS 72% (4.7 из 5) по 212 анонимным отзывам. • Новые модули: RLE (любят в Яндексе) и Интервалы. • Текстовые разборы:…

🔥19custom 540915239607495273310❤5

24 Aug 2026, 12:01 UTC≈2,680 views30 reactionsread 2 September 2026
Video

Сашка, ты охуительный! В 8-м выпуске алгоритмических новостей говорим не про задачи, а про тебя. Знакомьтесь, собирательный портрет студента курса — Саша. Ему 33, он крепкий middle+ (DA, DS, DE, MLE, разраб). Опыт есть, но с алгоритмами беда — они режут выбор вакансий. Он готовится заранее, а не когда когда уже поздно. За плечами боль проваленных алго-секций. или отказов от алго интервью. Отсюда нередко и синдр…

custom 540915239607495273318custom 54293638035003386949❤3

21 Aug 2026, 12:45 UTC≈2,890 views4 reactionsread 2 September 2026

Тут было сообщение о ранней птице, но она уже улетела

custom 54091523960749527333❤1

21 Aug 2026, 07:31 UTC≈3,070 views4 reactionsread 2 September 2026

Тут было сообщение о ранней птице, но она уже улетела

custom 54091523960749527334

Showing the 12 most recent of 38 posts we hold for @mikhaylovgleb. 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

@mikhaylovgleb 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
1 September 2026
Most recent edit
2 September 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 3 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.

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.

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.

karpov.courses
@KarpovCourses · 27,430
Telegram ranks this channel #3 of 96 here — alongside 95 others — read 10 September 2026
LEFT JOIN
@leftjoin · 42,064
Telegram ranks this channel #9 of 95 here — alongside 94 others — read 29 August 2026
Яндекс Практикум
@yndx_practicum · 34,046
Telegram ranks this channel #33 of 97 here — alongside 96 others — read 3 September 2026
Reveal the Data
@revealthedata · 27,839
Telegram ranks this channel #53 of 96 here — alongside 95 others — read 10 September 2026
настенька и графики
@nastengraph · 28,213
Telegram ranks this channel #55 of 94 here — alongside 93 others — read 9 September 2026
Stepik – онлайн-курсы
@stepik_courses · 24,445
Telegram ranks this channel #59 of 93 here — alongside 92 others — read 16 September 2026
Инжиниринг Данных
@rockyourdata · 23,767
Telegram ranks this channel #62 of 93 here — alongside 92 others — read 17 September 2026
Noukash
@noukashblog · 21,622
Telegram ranks this channel #64 of 95 here — alongside 94 others — read 23 September 2026
Клуб анонимных аналитиков
@analyst_club · 33,554
Telegram ranks this channel #73 of 96 here — alongside 95 others — read 4 September 2026
Время Валеры
@cryptovalerii · 30,829
Telegram ranks this channel #76 of 94 here — alongside 93 others — read 6 September 2026
Job for Analysts & Data Scientists
@foranalysts · 36,643
Telegram ranks this channel #85 of 96 here — alongside 95 others — read 1 September 2026
Data Secrets
@data_secrets · 93,800
Telegram ranks this channel #96 of 98 here — alongside 97 others — read 17 August 2026

This channel appears in 12 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Глеб Михайлов” (@mikhaylovgleb), 14,160 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/mikhaylovgleb.

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.