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 100% 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 +1,192. 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 15,941–17,491 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
26 Sept 2026, 11:18
17,312
+373
17 Sept 2026, 08:39
16,939
+39
15 Sept 2026, 07:18
16,900
+22
13 Sept 2026, 17:38
16,878
+27
11 Sept 2026, 23:40
16,851
+31
9 Sept 2026, 16:40
16,820
+92
6 Sept 2026, 11:37
16,728
+37
4 Sept 2026, 02:36
16,691
+24
2 Sept 2026, 17:42
16,667
+27
1 Sept 2026, 17:34
16,640
+28
31 Aug 2026, 17:25
16,612
+77
30 Aug 2026, 14:28
16,535
+9
29 Aug 2026, 15:14
16,526
+20
28 Aug 2026, 15:08
16,506
+12
27 Aug 2026, 13:28
16,494
+25
26 Aug 2026, 11:52
16,469
+16
25 Aug 2026, 14:47
16,453
+40
24 Aug 2026, 14:27
16,413
+43
22 Aug 2026, 22:14
16,370
+25
21 Aug 2026, 11:35
16,345
first reading
Engagement
32 posts held, back to 2 June 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 55 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
33.5%
avg views ÷ 17,312 subscribers
Avg views / post
5,810
4 posts measured
Reaction rate
1.54%
reactions ÷ views · ER floor
Posts in window
4
of 32 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 31 August 2026
Posts held
32 (2 June 2026 – 31 August 2026)
Views total
23,220
Reactions total
357
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:46 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
3,350 reactions across 32 posts, in 32 distinct kinds. The most used accounts for 18.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
608
18.1%
🤣
580
17.3%
👎
410
12.2%
🥴
379
11.3%
❤
336
10.0%
💊
259
7.73%
😁
251
7.49%
👏
106
3.16%
🤪
88
2.63%
👍
82
2.45%
😭
73
2.18%
🥱
39
1.16%
⚡
37
1.10%
😍
19
0.567%
🤗
15
0.448%
🗿
13
0.388%
🌚
8
0.239%
🤨
8
0.239%
🙈
7
0.209%
🌭
5
0.149%
12 further kinds
27
0.806%
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 32 of the 32 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 3,350 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 2 June 2026 to 31 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
11
across the posts below
Posts paid on
9
of 32 we hold a reading for · 28%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vacancy_cs. 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 32 most recent posts we hold for this entry, published 2 June 2026 to 31 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.
tldr: аналитик-разработчик, Яндекс Поиск, Картинки, 300-450k gross, Москва
Ищем аналитика-разработчика в команду офлайн-метрика для повышения качества Поиска Картинок в один из самых сильных отделов аналитики Яндекса.
Чем предстоит заниматься:
- Оценивать качество выдачи: проводить сравнения с конкурентами, определять сильные и слабые зоны, придумывать метрику выдачи
- Автоматизировать разметки с ростом качества: м…
tldr: Аналитик операционной эффективности, Т-Бизнес (M-сегмент) — 220–450k ₽ gross, гибрид или удалёнка из РФ
Т-Бизнес — направление Т-Банка для предпринимателей и компаний: 1,5 млн клиентов и 30+ продуктов. Наша команда отвечает за эффективность продавцов и развивающих менеджеров в крупном бизнесе (M-сегмент).
Ищем аналитика, который задрайвит стрим операционной эффективности и ответит на ключевые вопросы направле…
TL;DR: продуктовый аналитик Middle+|Senior в команду Сейвов и Фондов Яндекс Финтеха, от 350k ₽/мес gross (зависит от грейда), фултайм, офис/гибрид, Москва.
Ищу Middle+|Senior аналитика к себе в команду накопительных продуктов Яндекс Финтеха
Мы развиваем Сейвы — вклады, накопительные счета, а также инвестиции в Фонды в экосистеме Яндекс Финтеха. Сейчас направление активно растёт, и ищу ещё одного сильного аналитика …
tl;dr: mobile / full-stack engineers, TypeScript + React + Python, £90k-165k + equity, London
Куда инвестируют одновременно фонд основателя YC, бывший Head of Strategy Майкрософта и футболист, забивший победный гол в ЧМ-2014? ⚽️
Как оказалось, в Seamflow — стартап, ускоряющий сертификацию изобретений. Они вышли из стелса и теперь мы наконец знаем, от кого же был их x14-oversubscribed сид. А заодно и состав их advis…
tl;dr: ML & full-stack engineers, £85k-165k + bonus + equity, London
Страхование — это круто: можно хеджировать значительные личные риски, скидывая в общий пул небольшие суммы денег. ✨ Цивилизация!✨
Вот только ждать даже несложных выплат по иску можно месяцами — потому что индустрия медленная и нетехнологичная. Хорошо, что на любую медленную индустрию найдётся быстрый стартап — и сегодня это британские Claimsorted.…
tldr: продуктовый аналитик Middle в команду ПлатиПоМиру, ~450k/мес gross + премии, офис мск
ПлатиПоМиру -- молодой финтех-бизнес, который растет кратно каждый год и активно использует ML и AI в продукте и процессах. Мы работаем на рынке "голубого океана", у нас мало конкурентов, а многие топ-банки просто берут наш сервис и перекрашивают в свои логотипы в рамках партнерств.
Мы фокусируемся на выпуске и обслуживании к…
tl;dr: many roles; high growth Series B US fintech; Lisbon / while waiting for the proper entry visa - remote; great pay, conditions and culture; high pace
Splitpay, a freshly funded Series B fintech providing split rental and mortgage payments for US market is looking for startup-ready engineers, specifically:
- Backend, <= ~140k EUR, we use AWS + Django, but will happily consider anyone capable
- QA, up to <= ~90k…
tldr: Analytics Engineer (AI-first), Naran — 400–450k ₽ gross, полная удалёнка
Naran — международный стартап на стыке райдхейлинга и финтеха. Даём водителям транспорт по модели rent-to-own, работаем в Латинской Америке и Африке. В команде — ex-Yandex и ex-Tinkoff.
Ищем Analytics Engineer, который поможет с нуля выстроить аналитику в AI-first среде.
Что делать
- Настроить сбор данных и пайплайны по нескольким стран…
tl;dr: Classic ML, post-acquisition health/adtech, remote, up to 150k USD base, we can talk higher figures and EU/UK/US employment
PulsePoint sits at the intersection of healthcare and adtech. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. Team of 300+ an…
В трейдинг канале опубликовал необычную вакансию, с релокацией в Швейцарию 😏
https://t.me/vacancy_trading/20
Фонд хороший, пара знакомых там работает, могу рекомендовать
tldr: product manager, b2b-кредитование Т-Банк + банк Точка, 300-450к руб/мес + бонусы
Ищем продакт менеджеров в команду B2B-кредитования Т-Банка для кредитования клиентов банка Точка
Уровень кандидата: Middle/Senior (300к - 450к руб + бонусы)
Формат: Гибрид/Офис (Москва)
Мы одна из самых прибыльных команд всего Т-банка и одно из самых важных направлений для всего банка Точка.
Работаем на совместном проекте Т-Бан…
Международные проекты для разработчиков и IT-специалистов
EasyStaff Connect — международная биржа фриланса, где заказчики размещают удалённые задачи для разработчиков, аналитиков, тестировщиков и других digital-специалистов.
На платформе можно найти дополнительный проект, получить опыт работы с зарубежным заказчиком или расширить портфолио.
Как начать:
• зарегистрироваться и заполнить профиль
• указать стек, опыт и…
🥱20⚡7🌚6🔥4👎3👏2❤1💊1
Showing the 12 most recent of 32 posts we hold for @vacancy_cs. 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.
Posts edited after publishing
@vacancy_cs edited 3 posts 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
21 August 2026
Most recent edit
2 September 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.
Dev & ML Connectable Jobs @dev_connectablejobs · 27,959 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 10 September 2026
Яндекс нанимает | Вакансии для разработчиков @ya_jobs · 32,803 Telegram ranks this channel #9 of 96 here — alongside 95 others — read 5 September 2026
Яндекс Образование @Education_Yandex · 37,959 Telegram ranks this channel #10 of 96 here — alongside 95 others — read 31 August 2026
Connectable Jobs @zarubezhom_jobs · 103,632 Telegram ranks this channel #10 of 94 here — alongside 93 others — read 15 August 2026
Data Science Jobs @datasciencejobs · 22,137 Telegram ranks this channel #14 of 93 here — alongside 92 others — read 21 September 2026
Поступашки - ШАД, Стажировки и Магистратура @postypashki_old · 45,531 Telegram ranks this channel #22 of 90 here — alongside 89 others — read 28 August 2026
Рефералки в IT | Вакансии и резюме @refer_me_it · 30,925 Telegram ranks this channel #28 of 89 here — alongside 88 others — read 7 September 2026
Codeforces Official @codeforces_official · 72,808 Telegram ranks this channel #32 of 78 here — alongside 77 others — read 20 August 2026
Математик в Лондоне @mathbotan · 26,819 Telegram ranks this channel #33 of 90 here — alongside 89 others — read 11 September 2026
Young Стажёр - стажировки ИТ @young_intern · 44,235 Telegram ranks this channel #35 of 94 here — alongside 93 others — read 29 August 2026
Job for Analysts & Data Scientists @foranalysts · 36,643 Telegram ranks this channel #38 of 96 here — alongside 95 others — read 1 September 2026
Т-Образование @tbank_education · 113,416 Telegram ranks this channel #40 of 91 here — alongside 90 others — read 14 August 2026
Young&&Yandex @Young_and_Yandex · 111,329 Telegram ranks this channel #47 of 92 here — alongside 91 others — read 14 August 2026
Young & Junior - вакансии IT @young_june · 74,485 Telegram ranks this channel #48 of 99 here — alongside 98 others — read 20 August 2026
Python Job | Вакансии | Стажировки @job_python · 23,025 Telegram ranks this channel #51 of 96 here — alongside 95 others — read 19 September 2026
Machinelearning @ai_machinelearning_big_data · 279,417 Telegram ranks this channel #58 of 95 here — alongside 94 others — read 10 August 2026
HSE Career @hsecareer · 50,305 Telegram ranks this channel #62 of 96 here — alongside 95 others — read 26 August 2026
Data Science Jobs @datascienceml_jobs · 21,227 Telegram ranks this channel #63 of 97 here — alongside 96 others — read 24 September 2026
gonzo-обзоры ML статей @gonzo_ML · 24,323 Telegram ranks this channel #64 of 93 here — alongside 92 others — read 16 September 2026
Remote IT (Inflow) @Remoteit · 50,976 Telegram ranks this channel #68 of 95 here — alongside 94 others — read 25 August 2026
Осознанная Меркантильность | Антон Назаров @m0rtymerr_channel · 80,400 Telegram ranks this channel #68 of 87 here — alongside 86 others — read 18 August 2026
эйай ньюз @ai_newz · 96,889 Telegram ranks this channel #71 of 94 here — alongside 93 others — read 16 August 2026
Время Валеры @cryptovalerii · 30,808 Telegram ranks this channel #73 of 94 here — alongside 93 others — read 6 September 2026
inside hse @inside_hse · 20,995 Telegram ranks this channel #76 of 79 here — alongside 78 others — read 25 September 2026
This channel appears in 34 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“ФКН: Вакансии” (@vacancy_cs), 17,312 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/vacancy_cs.
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.