Other / unclassifiable — 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 51% 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
34 measurements spanning 44 days, net -415. 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 25,240–25,779 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
19 Sept 2026, 03:15
25,302
-20
16 Sept 2026, 14:58
25,322
+8
14 Sept 2026, 18:41
25,314
-10
13 Sept 2026, 03:38
25,324
-27
11 Sept 2026, 07:59
25,351
-78
8 Sept 2026, 11:58
25,429
-22
5 Sept 2026, 04:21
25,451
-17
3 Sept 2026, 10:23
25,468
-4
2 Sept 2026, 05:13
25,472
-6
1 Sept 2026, 01:38
25,478
-11
31 Aug 2026, 03:54
25,489
-10
30 Aug 2026, 03:34
25,499
-15
29 Aug 2026, 03:34
25,514
-11
28 Aug 2026, 07:02
25,525
-19
27 Aug 2026, 06:05
25,544
-42
26 Aug 2026, 09:17
25,586
-19
25 Aug 2026, 07:57
25,605
-48
24 Aug 2026, 04:35
25,653
-3
22 Aug 2026, 14:29
25,656
-10
21 Aug 2026, 01:58
25,666
first reading
Engagement
21 posts held, back to 17 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.2%
avg views ÷ 25,302 subscribers
Avg views / post
4,600
2 posts measured
Reaction rate
1.08%
reactions ÷ views · ER floor
Posts in window
2
of 21 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 26 August 2026
Posts held
21 (17 December 2025 – 26 August 2026)
Views total
9,190
Reactions total
99
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:34 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
2,616 reactions across 21 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,616
100.0%
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 21 of the 21 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 2,616 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 17 December 2025 to 26 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.
Telegram Stars
Stars received
91
across the posts below
Posts paid on
13
of 21 we hold a reading for · 62%
Most on one post
52
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Matskevich. 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 21 most recent posts we hold for this entry, published 17 December 2025 to 26 August 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.
«для меня это была классная возможность социализироваться в среде каких-то like-minded людей, кто тоже очень заинтересован в теме ai как-то вдохновиться друг об друга»
«когда всё время работаешь из дома, очень не хватает пространства, где вокруг тебя другие люди тоже сидят, работают»
«я сама с собой не всегда умею создавать такой хороший рабочий фокус, а здесь эта атмосфера очень помогала»
в том году мы провели 4 …
«я забираю с собой понимание, что это происходит не только со мной»
«я вспомнил, что мне нужна эмоционально значимая связь с мужчинами»
«забираю с собой мужественность - состояние, когда ты можешь много вывозить и много делать»
«когда я произношу то, что сидит внутри, становится намного легче»
«я увидел, что есть много мужчин, которым есть о чём поговорить»
«забираю удовольствие от общения вне работы - просто с…
мужские круги
раз в неделю мы в vahue проводим закрытый мужской круг.
в зумчике, 60 минут, без темы, 20 мест
немного цитат можно почитать тут
заходим из того, что живо прямо сейчас в моменте. в эту среду будет уже третий звонок. на прошлых смотрели в вопросы:
- как мне перестать жить на автопилоте старых паттернов?
- где я сам, а где я растворился в отношениях / семье / работе?
- как быть в отношениях без контроля…
согласно нейробиологии, многократное произнесение слова «нейробиология» активирует мезолимбический контур предвкушения знания ещё до появления самого знания
картинка мозга включает сеть значимости, слова «дофамин», «префронтальная кора» и «блуждающий нерв» повышают когнитивную беглость, а уверенная интонация временно подавляет переднюю поясную кору, которая могла бы спросить: «а доказательства где?»
в этот момент ч…
«я стал больше чувствовать себя живым»
«забираю с собой возможность отпускать с любовью, а не жить в обиде и злости»
«появилось ощущение тишины внутри, которое можно принести в контакт с другим человеком»
«я благодарен себе за то, что не сдаюсь, иду, пробую, падаю, поднимаюсь»
в прошлую среду мы собрались на мужской звонок
мы не записываем саму практику, но сохраняем интеграцию, потому что ценно замечать и делить…
в 2013 году я был на самом первом наборе startup leadership program
и спустя 13 лет slp остается одной из очень немногих предпринимательских программ, которые я могу искренне рекомендовать
по сути, slp - это не столько передача знаний, сколько способ регулярно калибровать себя об других сильных основателей
приносить живые задачи
слышать неудобную обратную связь
видеть чужие способы думать
и не проходить самые с…
А почему нет отелей All Inclusive, где круглосуточно будет доступна только здоровая еда?
Не алкоголь, Кока-Кола и бесконечное множество десертов.
А, например, протеиновые смузи и овощи. Ну или что там сейчас считается полезным?
Такой, современный санаторий чтобы был.
тоже давно о таком мечтаю. вот есть стильные отели, где мой эстет внутренний ликует. но ни одного не встречал где бы мой внутренний холистик интегральный биохакер сказал вот красавчики вот уж продумали все чтобы моему телу и психике было хорошо
показывал детям сколько сахара прячется в напитках
sugar.matskevich.ai
тапаешь - видишь кубики. простой вижуал, который кола больше не переживет)
но потом нырнули глубже. сахар - это первый слой. второй - ИНСУЛИН
догадайтесь у чего инсулиновый удар как у колы при том что сахара там 3 ложки?
молоко. обычное молоко. а обезжиренное - еще хуже, потому что молочный белок зовет инсулин сам по себе, а жира, который тор…
сделал маленький, но практичный кусок моего personal healthos про free testosterone:
https://free-t.health.matskevich.ai/?age=41&ft=153
контекст был простой: с тестостероном почти всегда путаница не в цифре, а в рефах
один сервис пишет “optimal”, другой “sufficient”, лаборатория даёт свой диапазон, а age-adjusted данные говорят третье, по whoop ты вообще всегда лох)
поэтому я собрал tool, где можно ввести:
возрас…
рэш - моя alma mater. там я понял что экономика это не про графики, а про то как мир устроен изнутри
до сих пор думаю категориями которые они мне дали. это школа меняющая оптику навсегда
поэтому когда они делают что-то - я рассказываю
19 марта, 19:00 - день открытых дверей программ «мастер финансов» и мини-миф. новотель москва киевская
для кого:
→ планируешь переход в финансы
→ уже в теме но хочешь системности ми…
❤63
Showing the 12 most recent of 21 posts we hold for @Matskevich. 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.
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
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.
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.
Read from Telegram’s recommendation API, most recently 14 September 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.
Dumik @dumik · 22,244 Telegram ranks this channel #1 of 98 here — alongside 97 others — read 21 September 2026
Мастриды @mustreads · 45,187 Telegram ranks this channel #3 of 98 here — alongside 97 others — read 27 August 2026
Эволюция @evo_lutio · 59,149 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 22 August 2026
Daily Reminder @justakindreminder · 36,685 Telegram ranks this channel #4 of 98 here — alongside 97 others — read 1 September 2026
Соколова наизнанку @naiznankuo · 58,587 Telegram ranks this channel #6 of 95 here — alongside 94 others — read 23 August 2026
Анастасия ko_sha @koshechkiklub · 26,570 Telegram ranks this channel #8 of 80 here — alongside 79 others — read 12 September 2026
Olymarkes Daily @markesdaily · 28,205 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 9 September 2026
Это нормально @vintovkina_arina · 68,394 Telegram ranks this channel #9 of 82 here — alongside 81 others — read 20 August 2026
Мария Бразговская @MBrazgovskaia · 56,295 Telegram ranks this channel #11 of 85 here — alongside 84 others — read 23 August 2026
Катерина Ленгольд @Katerinalengold · 71,428 Telegram ranks this channel #11 of 94 here — alongside 93 others — read 20 August 2026
Алла Филина. Путь Героя @yourgreatlife · 45,682 Telegram ranks this channel #12 of 89 here — alongside 88 others — read 27 August 2026
e/acc @cryptoEssay · 62,598 Telegram ranks this channel #14 of 96 here — alongside 95 others — read 21 August 2026
Итак, это Панов @itakblet · 24,951 Telegram ranks this channel #16 of 96 here — alongside 95 others — read 15 September 2026
Мама в Телеграме @mamavtelegrame · 47,215 Telegram ranks this channel #16 of 88 here — alongside 87 others — read 26 August 2026
Максим Спиридонов @mspiridonov · 66,824 Telegram ranks this channel #19 of 98 here — alongside 97 others — read 21 August 2026
Dasha’s notes | люди и смыслы @technohumanist · 37,699 Telegram ranks this channel #22 of 95 here — alongside 94 others — read 1 September 2026
Kostya Gorsky’s Channel @desprod · 25,894 Telegram ranks this channel #30 of 97 here — alongside 96 others — read 13 September 2026
No Flame No Game @proproduct · 38,826 Telegram ranks this channel #35 of 96 here — alongside 95 others — read 31 August 2026
Masha Ivakova @mashaivakova · 39,211 Telegram ranks this channel #35 of 88 here — alongside 87 others — read 31 August 2026
Сообщение от Кравцовой @Kkkrem_daily · 65,380 Telegram ranks this channel #40 of 82 here — alongside 81 others — read 21 August 2026
Канал Вари Веденеевой @varya_daily · 31,642 Telegram ranks this channel #42 of 86 here — alongside 85 others — read 5 September 2026
Fedor Belogai @belogaifedor · 39,457 Telegram ranks this channel #51 of 83 here — alongside 82 others — read 30 August 2026
Kumar & Solo @solokumi · 37,644 Telegram ranks this channel #52 of 98 here — alongside 97 others — read 1 September 2026
morskaya_pipiska @morskaya_pipiska · 34,864 Telegram ranks this channel #59 of 71 here — alongside 70 others — read 2 September 2026
This channel appears in 40 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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Matskevich - brains, love and robots” (@Matskevich), 25,302 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Matskevich.
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.