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 11 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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
31 measurements spanning 43 days, net -117. 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 10,337–10,490 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
18 Sept 2026, 02:40
10,355
-4
15 Sept 2026, 22:37
10,359
-6
14 Sept 2026, 07:58
10,365
-1
12 Sept 2026, 15:18
10,366
-3
10 Sept 2026, 12:00
10,369
-2
7 Sept 2026, 08:00
10,371
-2
4 Sept 2026, 14:01
10,373
-2
2 Sept 2026, 23:27
10,375
+2
31 Aug 2026, 15:36
10,373
-6
30 Aug 2026, 12:54
10,379
-7
29 Aug 2026, 12:38
10,386
-2
28 Aug 2026, 09:54
10,388
-3
27 Aug 2026, 06:33
10,391
+2
26 Aug 2026, 05:25
10,389
-1
25 Aug 2026, 04:09
10,390
+2
24 Aug 2026, 00:05
10,388
-5
20 Aug 2026, 19:44
10,393
-3
19 Aug 2026, 16:46
10,396
-5
18 Aug 2026, 15:22
10,401
-1
17 Aug 2026, 13:43
10,402
first reading
Engagement
31 posts held, back to 5 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 38 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.6%
avg views ÷ 10,355 subscribers
Avg views / post
1,200
4 posts measured
Reaction rate
4.23%
reactions ÷ views · ER floor
Posts in window
4
of 31 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 29 August 2026
Posts held
31 (5 July 2026 – 29 August 2026)
Views total
4,797
Reactions total
203
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 15:03 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
2,514 reactions across 30 posts, in 9 distinct kinds. The most used accounts for 48.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,220
48.5%
💔
435
17.3%
🔥
348
13.8%
👍
184
7.32%
❤🔥
100
3.98%
😢
94
3.74%
⚡
59
2.35%
😱
55
2.19%
🤔
19
0.756%
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 30 of the 31 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 2,514 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 5 July 2026 to 29 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
2
across the posts below
Posts paid on
2
of 30 we hold a reading for · 7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @isvidanka. 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 31 most recent posts we hold for this entry, published 5 July 2026 to 29 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.
В работе я часто использую те же схемы решения задач, что применяла в собственной карьере, потому что они многократно давали результат.
И сейчас приведу вам пару примеров.
Я мирно расставалась с каждой компанией, где работала, поэтому, когда в Берлине мне потребовались рекомендации из России, мой бывший босс без вопросов подписал мне нужные документы и даже поставил на них официальную печать (добыть которую – отдел…
Дорогие, открываю запись на консультации на осень.
В найме это горячий период. Компании планируют бюджеты и цели на следующий год, открываются новые вакансии, оживает нетворкинг. Усилия, вложенные сейчас, конвертируются в результат на весеннем ревью.
Я работаю с сильными специалистами, которые уже многое умеют, но хотят получать за это больше признания и финансовой отдачи. Форматы:
Стратегическая сессия
Глубинный…
Духовный коворкинг
Берлин – по-хорошему сумасшедший город и нетворкинг тут такой же. Свежий тренд – совмещение идеи “поддержки здоровья” и среды для рабочей коммуникации. В городе уже есть коворкинг с бассейном на крыше, есть спа, который рекламируют как социальное пространство, а у меня на районе открыли коворкинг, где можно заняться йогой и сходить в сауну прямо после работы.
У последнего в прошлый вторник был де…
Чем отличаются топы рынка
Умных и работящих людей на рынке много. Но топами рынка становятся единицы. И самое обидное в этой арифметике то, что наверх чаще всего поднимаются вовсе не те, кто работает и стрессует больше коллег.
В месяц у меня 30–40 клиентов, и примерно треть из них занимают серьезные должности в Porsche, Amazon, Google, Яндексе, Росатоме, Т-банке и других компаниях такого уровня. На сессии я не вижу…
Изнанка найма: почему вас никто не будет растить
В этом посте разберу, почему никто не учит «как делать карьеру» и почему не стоит особо надеяться, что если вы талантливы, вас будут растить внутри компании.
И вот тут мы порассуждаем с опорой на ту информацию, которую я знаю со стороны самих компаний и устройства рекрутинговых процессов. Потому что я помогала их настраивать и лично смотрела планы разных компаний по …
Почему повышают не всех – и что с этим делать
Сейчас во многих компаниях подводят итоги годового ревью, и я вижу этот процесс с обеих сторон. Так как среди моих клиентов есть как руководители, так и линейные сотрудники.
Период, честно скажу, тяжелый для всех.
Сотрудники часто в стрессе, потому что считают, что их усилия не оценили.
Руководители в стрессе, потому что им нужно донести (неприятную) обратную связь и и…
Про новую концепцию канала
Я долго тянула с этим шагом, потому что канал родился в самую активную фазу моей эмиграции, когда я работала, училась и строила социальные связи с нуля.
В тот период все было новым – люди, знакомства, динамичная среда берлинских стартапов. Блог был одной из опор, которая помогала мне сохранять равновесие даже в сложные периоды.
Но и работа ей тоже была. Потому что именно она дала мне баз…
Коуч, психолог или книга? Часть 1
Терапия в последнее время стала чем-то вроде формы «заботы о себе», а курсы и консультации специалистов – вариантом обучения и саморазвития. В этом посте разберу, как понять, нужна ли вам помощь и почему коуч, психолог и консультант в нишевой теме не заменяют, а дополняют друг друга. А еще дам критерии выбора специалиста и правила, которые помогут взять максимум от совместной работы…
С вас 15 тысяч рублей
Последний год я часто шутила, что хотела бы попасть к такому специалисту, как я – чтобы сразу смотрел в суть, мыслил системно и дал мне конкретный план, а не просто набор универсальных советов.
Специалист мне требовался в сфере бизнеса и маркетинга, и в этом году я ее нашла – через нетворкинг и личные рекомендации. Причем рекомендовали меня – так как новых клиентов она не берет.
В этом посте …
Продолжение.
В операционной было много народу.
Медсестра, которая ставила мне обезбол, анастезиолог, вторая медсестра и седая женщина, похожая на врача.
Доктора, с которой я общалась, в комнате не было, и я даже подумала, что операцию будет делать не она. Эта мысль меня огорчила.
Меня быстро уложили на узкий стол и накрыли сложенным в несколько раз одеялом. Пока медсестра что-то делала с моей веной, анастезиолог …
❤162😢19💔5🤔5👍3
Showing the 12 most recent of 31 posts we hold for @isvidanka. 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
@isvidanka edited 1 post 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
8 August 2026
Most recent edit
8 August 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 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.
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.
Нагуглила карьеру @dreamcatchme · 27,083 Telegram ranks this channel #25 of 92 here — alongside 91 others — read 12 September 2026
Катины секреты @no_drama_plz · 37,497 Telegram ranks this channel #30 of 81 here — alongside 80 others — read 1 September 2026
Что там у немцев? @dwrussian · 50,743 Telegram ranks this channel #30 of 97 here — alongside 96 others — read 25 August 2026
This channel appears in 3 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Перевод с корпоративного” (@isvidanka), 10,355 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/isvidanka.
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.