Job listings — 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 80% 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 the other topics.
Growth
65 measurements spanning 97 days, net +4,058. 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 12,034–17,310 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
11 Nov 2026, 17:57
16,701
+82
9 Nov 2026, 20:58
16,619
+48
8 Nov 2026, 09:49
16,571
+87
7 Nov 2026, 01:25
16,484
+59
6 Nov 2026, 03:14
16,425
+63
5 Nov 2026, 03:06
16,362
+73
4 Nov 2026, 03:15
16,289
+73
3 Nov 2026, 02:26
16,216
+32
2 Nov 2026, 04:06
16,184
+34
1 Nov 2026, 02:08
16,150
+39
30 Oct 2026, 22:55
16,111
+55
29 Oct 2026, 23:37
16,056
+32
29 Oct 2026, 00:17
16,024
+19
27 Oct 2026, 22:49
16,005
+35
26 Oct 2026, 22:28
15,970
+53
26 Oct 2026, 00:00
15,917
+52
24 Oct 2026, 23:40
15,865
+37
23 Oct 2026, 23:51
15,828
+73
23 Oct 2026, 01:19
15,755
+75
21 Oct 2026, 21:10
15,680
first reading
Engagement
49 posts held, back to 27 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 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.3%
avg views ÷ 16,701 subscribers
Avg views / post
3,720
12 posts measured
Reaction rate
1.20%
reactions ÷ views · ER floor
Posts in window
12
of 49 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 11 of 12 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 11 November 2026
Posts held
49 (27 July 2026 – 11 November 2026)
Views total
44,650
Reactions total
488
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 18:14 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
574
Videos
17
Links
256
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
2,307 reactions across 48 posts, in 34 distinct kinds. The most used accounts for 32.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
743
32.2%
❤
464
20.1%
👍
404
17.5%
🌚
197
8.54%
🤓
107
4.64%
🎉
51
2.21%
✍
50
2.17%
😭
43
1.86%
🤩
37
1.60%
🏆
26
1.13%
❤🔥
20
0.867%
👀
19
0.824%
🤝
18
0.78%
⚡
17
0.737%
💅
17
0.737%
👏
15
0.65%
🐳
12
0.52%
👨💻
11
0.477%
💯
11
0.477%
🌭
8
0.347%
14 further kinds
37
1.60%
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 48 of the 49 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 2,307 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 49 most recent posts we hold, published 27 July 2026 to 11 November 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
Telegram’s own ‘edited’ marker: 0 of 12 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Как стать незаменимым в компании и на рынке
Есть такие исходные данные:
1) Когда мы выходим собеседоваться, естественное желание это сменить работу с повышением по окладу, а в идеале еще и на более собранный и интересный проект
2) При проработке резюме, технички и презентации все ооочень часто упирается в то, что в предыдущем опыте не так то много интересного
Что из этого нередко получается:
мы придумываем и дос…
Открыли первую неделю ноября 5-ю офферами 🔥
3000$ в РБ / React
2300$ в РБ / React
340 gross в банк / React
310 gross в нефтяную компанию
220 net в банк / Angular
Одним словом, банки продолжают разбирать разработчиков) Ну а ноябрь пока идет в темпе, если сохраним его до конца месяца, то можно ожидать еще до 10-15 офферов.
Кстати, под предпоследним постом у меня спрашивали про статистику, и хочу подсветить, что когд…
Когда фронт-разработчики готовятся к Fullstack собеседованию, очень много времени уделяется языку: Обвязки node, Python, Golang и так далее.
Но пробежавшись по логам собеседований, увидел, что статистически больше спрашивали про базы данных. Этот блок на собеседованиях довольно обьемный, и это то, к чему обязательно нужно готовиться
Потом я пошел смотреть другие источники и сравнивать наш рынок с зарубежным, и к сч…
С 130 до 250к на фронте, и это еще не конец истории)
Изначально Кирилл работал верстальщиком, и немного писал на Vue, получал 130к. Поэтому пришел с запросом подтянуть техническую базу на Vue и выйти на рынок уже как фронтендер
Летом вышли на рынок и получили оффер на 260к🔥️️️️️️
И вот недавно Кирилл снова вернулся, теперь уже с запросом на Fullstack
Сейчас ребята вместе разбирают БД, брокеры, observability, чтобы…
Все больше замечаю как меняется традиционный флоу собеседований, и мне нравится куда это идет
За первую неделю ноября собрали 45 собеседований, и многие из них — полностью разговорные, без задач. И они не стали легче, но местами адекватнее. C большим акцентом на то, как ты видишь разработку, как ты думаешь и решаешь задачи, ну и базовая теория конечно
Все более открыто компании спрашивают про нейронки, и многие воп…
Сегодня как всегда своей компанией собираемся решать задачи собеседований в 20:00, кто готовится к собеседованиям — заваривайте чай и приглашаем присоединиться)
Часть задач для подготовки: Сбер, VK, OZON, M-Video, Evrone, еще раз OZON, IT One, Trading View, МТС, Лантан, ДОМ.РФ, Т-Банк, Яндекс
Ссылка: https://us06web.zoom.us/j/85886143593?pwd=NbKLmfBohaj3rabwTta1m7QLz55Zfx.1
@codepunks_bro ✊
Какой был рынок в октябре?
Для нас с одной стороны очень похож на сентябрь, с другой стороны с аномалиями, потому что средний оффер net ≈ 287 тыс. ₽, что выше на 30 тысяч чем стандартное среднее.
В какие-то месяцы среднее подбивали до 280+ курс доллара и большое кол-во офферов в валюте, но сейчас курс 80, и текущее среднее вывозят по большей части российские офферы.
Также есть офис, но его немного, и за него как п…
В субботу стараюсь максимально отключиться
Уже 3 месяца хожу с браслетом Whoop, который мне подарили коллеги с работы ❤️
И начал следить за HRV и отслеживать качество сна и количество стресса
Последние 2 года работаю в активном режиме, и это повлекло за собой проблемы с концентрацией и принятием решений, которых много и принимать нужно каждый день
Поэтому все больше начинаю оцифровывать качество сна, спорт, потом…
И у ангулярщиков сегодня праздник)
Потому что мы собрали наши последние собеседования, отранжировали задачи и вопросы по убыванию, и сделали из него полноценный гайд для подготовки к собеседованию 👋
Как минимум 80% вопросов такие подборки закрывают
И в целом Angular сейчас держит темп, и находятся довольно интересные предложения каждый месяц. Так что мы с вами) А если гайд помог — ставьте 👍
Отдельное спасибо ребя…
❤37👍10🔥8❤🔥3
Showing the 12 most recent of 49 posts we hold for @frontend_punks. 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 4 polls we hold for this entry, as Telegram rendered them 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 49 most recent posts we hold, published 27 July 2026 to 11 November 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 7 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Тихон | Помогаю разработчикам устроиться в BigTech” (@frontend_punks), 16,701 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/frontend_punks.
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.