Personal blog — 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 73% 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 50 days, net -215. 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 14,205–14,499 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
25 Sept 2026, 09:37
14,250
+11
17 Sept 2026, 06:40
14,239
-10
15 Sept 2026, 09:57
14,249
-4
13 Sept 2026, 18:38
14,253
-21
12 Sept 2026, 02:01
14,274
-17
9 Sept 2026, 14:40
14,291
-25
6 Sept 2026, 09:41
14,316
-31
4 Sept 2026, 00:58
14,347
+5
2 Sept 2026, 17:14
14,342
-14
1 Sept 2026, 15:48
14,356
-2
31 Aug 2026, 13:43
14,358
-16
30 Aug 2026, 13:45
14,374
-7
29 Aug 2026, 12:24
14,381
-2
28 Aug 2026, 11:26
14,383
-4
27 Aug 2026, 13:05
14,387
+7
26 Aug 2026, 14:44
14,380
-7
25 Aug 2026, 14:25
14,387
-9
24 Aug 2026, 11:54
14,396
-9
22 Aug 2026, 19:08
14,405
-3
21 Aug 2026, 07:15
14,408
first reading
Engagement
54 posts held, back to 24 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 52 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.5%
avg views ÷ 14,250 subscribers
Avg views / post
1,640
10 posts measured
Reaction rate
4.14%
reactions ÷ views · ER floor
Posts in window
10
of 54 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 9 of 10 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 2 September 2026
Posts held
54 (24 July 2026 – 2 September 2026)
Views total
16,439
Reactions total
622
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 18:48 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
1m 42s
Average length
20s
Measured directly from 5 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
3,315 reactions across 52 posts, in 36 distinct kinds. The most used accounts for 23.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
792
23.9%
😁
581
17.5%
❤
480
14.5%
💯
441
13.3%
🔥
412
12.4%
👍
166
5.01%
😱
58
1.75%
🥰
52
1.57%
🦄
48
1.45%
👏
45
1.36%
😭
45
1.36%
🙉
43
1.30%
💊
21
0.633%
😍
16
0.483%
👌
15
0.452%
🙏
15
0.452%
👀
11
0.332%
🤔
11
0.332%
😢
10
0.302%
🙈
10
0.302%
16 further kinds
43
1.30%
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 52 of the 54 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 3,315 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 24 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.
Telegram Stars
Stars received
9
across the posts below
Posts paid on
4
of 54 we hold a reading for · 7%
Most on one post
6
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @badTechProject. 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 54 most recent posts we hold for this entry, published 24 July 2026 to 2 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.
Но вот часть со сказками меня немного пугает. Ну может слово неудачное, дальше разверну мысль.
Короче, когда Демка был маленький часто приходилось ему сочинять и рассказывать сказки: мы с Наташкой от этого, объективно уставали, но, кажется, это все-таки была полезная когнитивная нагрузка.
То есть, мозгу однозначно полезно
Серьёзные данные позволяют считать сочинение историй содержательной когнитивной деятельностью …
Так как я в отпуске, то было несколько проблем:
1. Лететь 9 часов, а почитать что-то хотелось. Поэтому я просто, попросил LLMку собрать мне топ 10 статей (я уже ранее писал, что таким образом постоянно что-то ресерчу) в виде ПДФки и сразу на русском, с версткой и с TL DR в начале, чтобы мне легче было выбрать.
Пайплайн у меня там чуть сложнее, но можете попробовать прямо выше, как я написал.
2. Демыч книжки читает у…
OpenAI опубликовали подробный разбор инцидента с Hugging Face
TL;DR: Во время внутренних кибербезопасностных тестов агенты OpenAI обошли изоляцию и создали собственную доску сообщений. Около 700 агентов участвовали в атаке на Hugging Face. Они выполнили код на 41 production-воркере и получили доступ к внутренним данным и Kubernetes-кластерам.
1. С чего всё началось
OpenAI запустили десятки тысяч агентов на Exploit…
Отпуск с детьми - это, когда ты орешь на них в красивых местах 🤣
💯 - ааааа, жиза
❤️ - поддержать
🦄 - если у тебя не так и отпуск с детьми, ну чисто счастье
HR — это не человек, который поздравляет вас с днем рождения и организует корпоратив
Ну, точнее, не только это😁
Сегодня сильная HR-команда — полноценный партнер бизнеса.
А значит, она должна:
1. Понимать, как компания зарабатывает деньги.
2. Говорить с бизнесом на одном языке.
3. Приносить данные, а не только ощущения.
4. Задавать руководителям неудобные вопросы.
5. Влиять не только на «счастье сотрудников», но и…
#пятничное
💯 - если у тебя также!
❤️ - если у тебя нет никаких дел
🦄 - если ты не пьешь кофе!
💯84😁23🦄17❤11💅2🔥2
Showing the 12 most recent of 54 posts we hold for @badTechProject. 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.
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 54 most recent posts we hold, published 24 July 2026 to 2 September 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 12 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.
🔥 Дмитрий Ирешев: AI • Продукты • Проекты @dmitrii_ireshev_Agile_PMP · 27,750 Telegram ranks this channel #1 of 97 here — alongside 96 others — read 12 September 2026
Про Проекты и карьеру в ИТ | Романова @proProject1 · 37,537 Telegram ranks this channel #1 of 97 here — alongside 96 others — read 1 September 2026
Black product owner | Тигран Басеян о продакт менеджменте и стартапах @blackproduct · 21,009 Telegram ranks this channel #5 of 93 here — alongside 92 others — read 24 September 2026
pmclub — учим управлять @pmclub · 20,761 Telegram ranks this channel #7 of 97 here — alongside 96 others — read 26 September 2026
Менеджер от боженьки @pm_god · 25,165 Telegram ranks this channel #11 of 98 here — alongside 97 others — read 14 September 2026
Я — РУКОВОДИТЕЛЬ @iRukovoditel · 31,190 Telegram ranks this channel #18 of 98 here — alongside 97 others — read 6 September 2026
Product Management & AI @ruspm · 25,166 Telegram ranks this channel #20 of 97 here — alongside 96 others — read 14 September 2026
Нормально делай, нормально будет / Саша Клименко @normalno_delaj · 21,670 Telegram ranks this channel #21 of 96 here — alongside 95 others — read 22 September 2026
Регулярный менеджмент для руководителей (Евгений Севастьянов) @regularmanagement · 22,896 Telegram ranks this channel #21 of 96 here — alongside 95 others — read 19 September 2026
Без aspera @bezaspera · 73,110 Telegram ranks this channel #21 of 98 here — alongside 97 others — read 20 August 2026
Дашич, беги🚀 @dashich_begi · 37,414 Telegram ranks this channel #25 of 96 here — alongside 95 others — read 1 September 2026
ProductDo: практика продакта @productdo · 24,122 Telegram ranks this channel #27 of 97 here — alongside 96 others — read 17 September 2026
Продукторий Владимира Меркушева @vladimir_merkushev · 21,974 Telegram ranks this channel #29 of 96 here — alongside 95 others — read 21 September 2026
Вправо Вверх 📈 Михаил Табунов @bossofyourboss · 27,735 Telegram ranks this channel #30 of 95 here — alongside 94 others — read 10 September 2026
Продакты не нужны @betternotworse · 28,526 Telegram ranks this channel #30 of 96 here — alongside 95 others — read 9 September 2026
Teamlead Good Reads – ежедневные советы про менеджмент людей и команд @leadgr · 28,120 Telegram ranks this channel #31 of 96 here — alongside 95 others — read 10 September 2026
Игорь Кузнецов о темных паттернах @brainshare · 21,960 Telegram ranks this channel #33 of 93 here — alongside 92 others — read 22 September 2026
Дизраптор @disruptors_official · 72,888 Telegram ranks this channel #38 of 97 here — alongside 96 others — read 20 August 2026
Фичизм @fichism · 25,378 Telegram ranks this channel #39 of 96 here — alongside 95 others — read 14 September 2026
Ваня Замесин @zamesin · 50,297 Telegram ranks this channel #45 of 97 here — alongside 96 others — read 25 August 2026
Про Управление @ProYpravlenca · 32,601 Telegram ranks this channel #46 of 99 here — alongside 98 others — read 6 September 2026
Карьера в топ от Анны Знаменской @annaznamenskaya · 30,771 Telegram ranks this channel #47 of 98 here — alongside 97 others — read 6 September 2026
Нестыдная фасилитация @no_shame_facilitation · 22,824 Telegram ranks this channel #49 of 99 here — alongside 98 others — read 19 September 2026
Job for Products and Projects @forproducts · 69,619 Telegram ranks this channel #50 of 98 here — alongside 97 others — read 20 August 2026
This channel appears in 31 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Плохой менеджер Артём Арюткин” (@badTechProject), 14,250 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/badTechProject.
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.