@kattsmol_rabotamechty канал про работу мечты
@kattsmol_jobs канал с вакансиями и обзором компаний
по вопросам сотрудничества @kattsmol_tg
рекламы в канале нет
Created
Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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
57 measurements spanning 90 days, net -104. 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 10,210–10,494 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
6 Nov 2026, 01:56
10,357
-3
5 Nov 2026, 00:37
10,360
-9
4 Nov 2026, 00:15
10,369
+2
3 Nov 2026, 01:26
10,367
-6
2 Nov 2026, 04:08
10,373
-5
1 Nov 2026, 05:59
10,378
-17
31 Oct 2026, 07:48
10,395
-3
30 Oct 2026, 06:56
10,398
+2
29 Oct 2026, 03:40
10,396
-4
28 Oct 2026, 04:48
10,400
-4
26 Oct 2026, 01:56
10,404
-12
24 Oct 2026, 23:01
10,416
-11
23 Oct 2026, 23:50
10,427
-5
22 Oct 2026, 21:15
10,432
+21
21 Oct 2026, 20:45
10,411
+27
20 Oct 2026, 12:28
10,384
-4
19 Oct 2026, 14:34
10,388
+30
18 Oct 2026, 14:06
10,358
-2
17 Oct 2026, 10:38
10,360
+11
16 Oct 2026, 12:41
10,349
first reading
Engagement
28 posts held, back to 1 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.8%
avg views ÷ 10,357 subscribers
Avg views / post
1,320
11 posts measured
Reaction rate
1.37%
reactions ÷ views · ER floor
Posts in window
11
of 28 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 6 November 2026
Posts held
28 (1 August 2026 – 6 November 2026)
Views total
14,549
Reactions total
199
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 21:01 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
≈1,250
Videos
≈109
Links
≈212
Lifetime counters from Telegram’s own channel header, read 6 November 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.
Video runtime
1m 27s
Average length
44s
Measured directly from 2 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
466 reactions across 25 posts, in 6 distinct kinds. The most used accounts for 40.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5222325171284622461
190
40.8%
custom 5220153683064404942
134
28.8%
custom 5222311371554700374
94
20.2%
custom 5244827458431107252
24
5.15%
custom 5379782898603804141
21
4.51%
custom 5357416061840923708
3
0.644%
Custom emoji. Every row above is a 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 25 of the 28 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 466 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 1 August 2026 to 6 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: 1 of 11 posts held from the last 30 days (9.09%) 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).
ребята, хочу вас предупредить:
проверяйте все сообщения, которые получаете
в прошлый раз, когда у меня украли госуслуги, мошенники сами же по телефону мне объяснили: можно маскировать отправителя под любого.
те ты думаешь, что получил сообщение от тбанка, а по факту — это наёбка
вот на примере секретаря хаха. тбанк не отправляют всратые ссылки с кучей букв. это можно перепроверить в личном кабинете — если сообщение…
можно бесконечно смотреть на огонь, воду и на то, как сыпятся заявки на участие в работе мечты после закрытия входа
в этот раз я даже продлила возможность зайти на несколько дней. ну вот так!
хороша ложка к обеду 🫦
это заключительный подробный пост про работу мечты, а потом я ухожу в плотную работу с участниками. посвящаю его одной простой теме — моему отношению
📎сегодня последний день, когда можно вступить
истории клиентов, поэтапные шаги, инструменты, групповую динамику — я уже рассказывала и есть огромный подробный обзор на ютубе
💞💞💞
я делаю проект про людей и для людей. и для меня важно регулярно его улучшать и с каждым р…
найти работу никогда не было так легко, как сейчас, три аргумента
оффтоп:
🌟сейчас очень много борьбы за внимание и время. а ничего так сильно не приковывает взгляд, как какая-то тревожная новость или обсуждение. поэтому, в тырнете дохуя и больше разговонов про то, «как же сейчас хуево»
🌟рынок поменялся. это самое стабильное, что всегда будет — изменения)). поменялись правила игры, изменился принцип найма. но работа …
за что я благодарю этот день?
вы знали, что научно даказан положительный эффект практики благодарности?
она оказывает терапевтический эффект — повышает общую удовлетворенность жизнью и снижает тревогу. на нейроуровне напрямую активирует части мозга, которые отвечают за систему вознаграждения, социальные связи, принятие моральных решений. те делает мозг более устойчивым к стрессу
все фичи на работе мечты я внедряю …
из middle+ data engineer в архитектора меньше чем за 2 месяца
наша участница пришла на работу мечты, чтобы сменить работу, увеличить доход и наконец перестать откладывать поиск из-за страха технических собеседований.
〰️до проекта:
— позиция middle+ data engineer, перспектив роста на текущем месте не было
— зарплата 180к
— боялась технических интервью и долго не решалась начать поиск
〰️после проекта:
— меньше чем з…
я купилась на маркетинг нейронок!!
у нас на "работе мечты" дофигища ребят используют ии в работе
я прибегаю к искусственному интеллекту, но стараюсь юзать свой мозг в большинстве случаев.
но вот делать посты карусели ебучие!!! что мозг, что руки — отказываются ахха
хотя, мне очень нравятся картинки с текстом. и я решила попробовать сделать через ии
ебалась час, если что)
он постоянно переписывал исходный текст. а…
Showing the 12 most recent of 28 posts we hold for @kattsmol. 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.
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 2 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“кашка с маслом” (@kattsmol), 10,357 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/kattsmol.
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.
