Education — 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 76% 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 +113. 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 17,926–18,159 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 19:21
18,132
+51
16 Sept 2026, 14:19
18,081
-30
14 Sept 2026, 17:37
18,111
+1
13 Sept 2026, 04:37
18,110
+50
11 Sept 2026, 03:37
18,060
+5
8 Sept 2026, 08:57
18,055
-20
5 Sept 2026, 03:20
18,075
+122
3 Sept 2026, 05:55
17,953
-10
1 Sept 2026, 22:17
17,963
-5
31 Aug 2026, 20:48
17,968
-11
30 Aug 2026, 18:58
17,979
-4
29 Aug 2026, 22:27
17,983
-1
29 Aug 2026, 00:13
17,984
-11
27 Aug 2026, 21:32
17,995
-11
26 Aug 2026, 18:06
18,006
-15
25 Aug 2026, 16:34
18,021
+4
24 Aug 2026, 18:27
18,017
-18
23 Aug 2026, 06:13
18,035
-3
21 Aug 2026, 19:38
18,038
-15
20 Aug 2026, 16:27
18,053
first reading
Engagement
41 posts held, back to 22 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 56 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.47%
avg views ÷ 18,132 subscribers
Avg views / post
1,360
8 posts measured
Reaction rate
3.52%
reactions ÷ views · ER floor
Posts in window
8
of 41 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 2 September 2026
Posts held
41 (22 July 2026 – 2 September 2026)
Views total
10,842
Reactions total
382
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:58 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
8s
Average length
8s
Measured directly from 1 video 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
1,456 reactions across 34 posts, in 20 distinct kinds. The most used accounts for 43.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
636
43.7%
❤
600
41.2%
👍
93
6.39%
👀
43
2.95%
😢
26
1.79%
👏
21
1.44%
🌚
8
0.549%
😁
8
0.549%
❤🔥
4
0.275%
🗿
3
0.206%
⚡
2
0.137%
🎉
2
0.137%
💔
2
0.137%
🤣
2
0.137%
☃
1
0.069%
💅
1
0.069%
💋
1
0.069%
😘
1
0.069%
😱
1
0.069%
🤩
1
0.069%
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 37 of the 41 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 1,528 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 22 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
45
across the posts below
Posts paid on
27
of 38 we hold a reading for · 71%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @CareerPump. 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 41 most recent posts we hold for this entry, published 22 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.
💥 102 000 просмотров одного поста. 96% из них - люди, которые её вообще не знали.
Это Вика, участница текущего потока PUMP 2.0. Идёт третья неделя. Четыре дня назад она опубликовала разбор, почему Schneider Electric третий год подряд держит #1. Не личную историю, не мотивацию - экспертный разбор по своей теме.
Смотрим аналитику, потому что цифры тут интереснее самого поста:
➥ 102 002 показа, охват почти 70 000 чело…
Третья неделя 20-го PUMP. В четверг сел смотреть цифры по ребятам и немного офигел.
Если что, у каждого в LinkedIn есть раздел Analytics → Search appearances. Там видно, сколько раз ты за неделю попал в поисковую выдачу, кто тебя искал (рекрутер, HR, продакт, кто угодно) и из каких компаний. Бесплатно, у всех. Ребята каждый четверг переносят эти цифры в трекер, а я в этот раз свёл всех 19 в одну табличку.
И вот что…
Последние 2 недели занимаюсь планированием “пересборки” своей жизни. Активно использую для этого Claude и получил очень крутые и интересные выводы.
Всё началось с некого “ощущения”. Раньше я не придавал этому значения, но потом вспомнил любимую книгу “Путь героя”, когда любое приключение начинается с “зова”, сигнала. И очень часто мы его пропускаем, игнорируем. Я начала себя слушать - о чём этот сигнал. Там был неки…
🇩🇪 Переехать в Германию проще, чем научиться здесь жить
У экспатов есть такая проблема - ты переезжаешь куда-то и вынужден строить вообще всё с нуля. Переехав в 2021ом только через 2 года я разобрался как жить в Берлине, что нельзя делать, куда нельзя ходить, где можно сэкономить, где заработать)
Сейчас в Берлине у нас классное комьюнити, мы помогаем друг другу и кажется, что эта связь на многие годы вперёд. Мы хор…
Ну что друзья, SSI официально закрылся https://www.linkedin.com/sales/ssi
Точнее он будет доступен с помощью Sales Navigator, при этом непонятно как купить Trial на текущий момент.
Помню в 2023-ем году мы начали с ним работать, научились его читать, делать правильные выводы, мы реально опередили всех карьерных консультантов и компании дав преимущество участникам наших буткемпов.
Вместо того, чтобы платить за часов…
Все кто в активном поиске или слегка посматриваете вакансии - обязательно прочитайте!
Топ - советы от психолога для тех, кто в поиске работы.
В субботу для участников PUMP у нас был эфир с Еленой Мишуковой - 15+ лет в fashion-retail (Zalando, About You, Lamoda), нанимающий менеджер и психолог в одном лице, 4 оффера на глобальном рынке. Полтора часа разбирали, как мозг саботирует поиск работы.
Топ-5 инсайтов - забир…
Сколько получает Product manager 💸
Профессия Product Manager раскололась на две касты. И разница между ними - сотни тысяч евро в год.
В прошлом посте разбирал Program менеджеров. Теперь продакты: 250 зарплат на levels.fyi по Германии.
Сначала контекст. За последние 3-5 лет product management пережил самую жёсткую эволюцию из всех job families: массовые сокращения 2022-2023, потом AI-революция, которая поменяла само…
Через 12 дней мне исполнится 40 лет.
Первые 16 лет своей жизни я прожил в посёлке Белоозёрском Московской области, ездил каждый день в школу в Раменское.
С 16 до 21 года жил в Москве, снимал квартиру на Рязанском проспекте.
22-27 - жил в Раменском.
27-35 - переехал в Москву, метро Аэропорт.
35-40 - я в Берлине, в Германии.
Мне почему-то казалось, что у меня столько всего впереди, вот-вот я начинаю обустраиваться в о…
Как найти работу в 2026 году в России.
У меня есть подруга Оля Романова. Она одна из тех, с кем мы одновременно запускали свои каналы, обсуждали менторскую работу и даже заграницу переезжали почти в одно время. Помню как у нее был канал на 1000 человек, как мы познавали вместе жизнь в Европе.
И Оля конечно просто гуру поиска работы. Её супер способность - помогать людям найти работу, я каждый месяц офигеваю от тех …
Опыт не определяет нашу зарплату. Её определяет компания и наше позиционирование.
Я разобрал 138 зарплат Program и Project менеджеров на levels.fyi. Вот что нашёл:
📌 Разница зарплат - от €50K до €181K в год. В 3,5 раза, Карл.
➥ 20 лет опыта в Siemens - €125K
➥ 7 лет в HelloFresh - €62K
➥ 5 лет в Cariad - €110K
Выглядит, что длительность опыта вообще никак не влияет на зарплату.
🔥 Кто платит больше всех (медиана)…
Когда я думаю что мы на самом деле делаем в LinkedInPUMP и что получают участники...
В голову приходит история про офферы, позиционирование, но мало кто знает, что у нас есть огромное кол-во ребят и девчёнок, которые приходят на самом деле за видимостью.
С разрешения Ромы я публикую его сообщение и оставляю ссылку на пост.
У Ромы всё хорошо в жизни, работу не ищет, компания у него супер. Он не любит инсту и facebo…
С нуля до рекрутеров из Netflix, Apple, Google, Qatar Airways и 20 🤔 входящих за июль и август.
Результаты моего клиента с личного менторинга.
Я регулярно работаю в формате личного менторства. За последний год было около 15 человек:
- Director Compliance
- Engineering manager
- AI Product lead
- CMO
- Brand director
- Event Director
- BI Lead
- CFO и многие другие.
Результаты этой работы обычно фантастические. Мы р…
🔥14❤5👍1😘1
Showing the 12 most recent of 41 posts we hold for @CareerPump. 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
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 5 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.
Про Проекты и карьеру в ИТ | Романова @proProject1 · 37,220 Telegram ranks this channel #7 of 97 here — alongside 96 others — read 1 September 2026
HIRED @hiredvalley · 26,299 Telegram ranks this channel #31 of 89 here — alongside 88 others — read 13 September 2026
Oh, world! @ohwrld · 26,326 Telegram ranks this channel #33 of 88 here — alongside 87 others — read 12 September 2026
IT Работа: Сербия и удаленка LENKEP 🔥 @youritjob · 37,130 Telegram ranks this channel #39 of 86 here — alongside 85 others — read 1 September 2026
Карьера в топ от Анны Знаменской @annaznamenskaya · 30,843 Telegram ranks this channel #40 of 98 here — alongside 97 others — read 6 September 2026
Connectable Jobs @zarubezhom_jobs · 102,984 Telegram ranks this channel #48 of 94 here — alongside 93 others — read 15 August 2026
AgileFluent: карьера без границ @agilefluent · 45,636 Telegram ranks this channel #55 of 95 here — alongside 94 others — read 28 August 2026
Нагуглила карьеру @dreamcatchme · 27,083 Telegram ranks this channel #66 of 92 here — alongside 91 others — read 12 September 2026
🌎 CHOICY.WORK: Global карьера | вакансии | стартапы | удалёнка @choicy_work · 26,960 Telegram ranks this channel #70 of 95 here — alongside 94 others — read 11 September 2026
Про Управление @ProYpravlenca · 32,354 Telegram ranks this channel #72 of 99 here — alongside 98 others — read 6 September 2026
🇦🇹 Образование в Австрии | edu-vienna.com @eduvienna · 40,353 Telegram ranks this channel #76 of 83 here — alongside 82 others — read 30 August 2026
RelocationDEV by GeeckoMove @relocationdev · 23,875 Telegram ranks this channel #80 of 89 here — alongside 88 others — read 17 September 2026
Grintern: стажировки в digital и медиа @grinternru · 29,393 Telegram ranks this channel #83 of 99 here — alongside 98 others — read 8 September 2026
Relocate.Me: Jobs & Moving Abroad @relocateme · 34,269 Telegram ranks this channel #83 of 89 here — alongside 88 others — read 3 September 2026
Вакансии для продактов и проджектов @product_jobs · 36,067 Telegram ranks this channel #86 of 96 here — alongside 95 others — read 2 September 2026
Remocate: релокация, удалёнка, работа и вакансии @evacuatejobs · 135,729 Telegram ranks this channel #87 of 93 here — alongside 92 others — read 13 August 2026
Work-in-Germany 🇩🇪 Работа. Германия @germanworks · 23,161 Telegram ranks this channel #92 of 95 here — alongside 94 others — read 19 September 2026
Relocate - зарубежные вакансии на релокацию и удаленку @young_relocate · 51,851 Telegram ranks this channel #94 of 97 here — alongside 96 others — read 25 August 2026
Вакансии за рубежом @remote_jobs_relocate · 32,844 Telegram ranks this channel #95 of 95 here — alongside 94 others — read 5 September 2026
Job in IT&Digital @geekjobs · 50,591 Telegram ranks this channel #98 of 98 here — alongside 97 others — read 25 August 2026
This channel appears in 20 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.
“LinkedIn & Career | Alex Lepeshkin” (@CareerPump), 18,132 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/CareerPump.
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.