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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
42 measurements spanning 72 days, net +3,384. 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 43,247–47,647 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 42
Measured (UTC)
Subscribers
Change
17 Oct 2026, 16:48
47,139
+37
16 Oct 2026, 16:19
47,102
+61
15 Oct 2026, 17:21
47,041
+68
14 Oct 2026, 19:00
46,973
+161
13 Oct 2026, 08:01
46,812
+123
9 Oct 2026, 03:17
46,689
+115
4 Oct 2026, 16:59
46,574
+443
26 Sept 2026, 14:56
46,131
+495
19 Sept 2026, 16:59
45,636
+299
17 Sept 2026, 06:59
45,337
+54
15 Sept 2026, 06:41
45,283
+81
13 Sept 2026, 18:19
45,202
+46
11 Sept 2026, 23:40
45,156
+29
9 Sept 2026, 11:01
45,127
+26
6 Sept 2026, 01:58
45,101
+69
3 Sept 2026, 19:01
45,032
+49
2 Sept 2026, 08:13
44,983
+50
1 Sept 2026, 04:56
44,933
+89
31 Aug 2026, 02:33
44,844
+89
30 Aug 2026, 01:34
44,755
first reading
Engagement
120 posts held, back to 14 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 146 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.28%
avg views ÷ 47,139 subscribers
Avg views / post
3,900
46 posts measured
Reaction rate
0.512%
reactions ÷ views · ER floor
Posts in window
46
of 120 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 43 of 46 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 17 October 2026
Posts held
120 (14 July 2026 – 17 October 2026)
Views total
179,530
Reactions total
859
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
17 Oct 2026, 15:31 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
52s
Average length
17s
Measured directly from 3 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
2,356 reactions across 111 posts, in 21 distinct kinds. The most used accounts for 49.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,172
49.7%
🔥
592
25.1%
👍
146
6.20%
😁
108
4.58%
❤🔥
75
3.18%
⚡
55
2.33%
👌
40
1.70%
🤩
36
1.53%
🎉
20
0.849%
👀
16
0.679%
👏
15
0.637%
🎅
13
0.552%
🐳
11
0.467%
😍
10
0.424%
🙊
10
0.424%
🦄
10
0.424%
💔
9
0.382%
🙏
7
0.297%
🕊
6
0.255%
🎄
4
0.17%
1 further kind
1
0.042%
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 113 of the 120 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 2,356 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 120 most recent posts we hold, published 14 July 2026 to 17 October 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
258
across the posts below
Posts paid on
39
of 120 we hold a reading for · 33%
Most on one post
17
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @agilefluent. 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 120 most recent posts we hold for this entry, published 14 July 2026 to 17 October 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.
«LinkedIn теперь работает как визитка» — что о нас пишут клиенты 👀
Мы можем сколько угодно рассказывать, какие мы молодцы. Но лучше послушать тех, кто с нами работает. Собрали четыре свежих отзыва, которые наши клиенты написали на VC. У всех ребят разные цели, у кого отклики, у кого нетворк, а у кого-то цель — просто поверить в себя.
Такие впечатления от ребят мы получаем и идем вместе к офферам⬇️
Максим, нужны бы…
Привет! Это Даша Шульгина, фаундер AgileFluent 👋
Есть даты, которые НЕЛЬЗЯ пропустить и 20 октября одна из них. Я проведу свой последний в этом году вебинар.
Для вас это крутая возможность узнать ВСЕ лайфхаки и секреты поиска, которые мы с командой наработали за этот год, а у нас на минуточку экспертиза по 32+ странам и каждый месяц букет офферов (вот кстати результаты по сентябрю). 🤯
В этом году какая-то сумасшед…
📣 Найм в сентябре: 7 офферов — от Spotify в Лондоне до двух офферов за неделю в Португалии
Новая рубрика, разбираем итоги месяца!
В сентябре на себе прочувствовали старт высокого сезона. Рассказываем, какие офферы получили, в какие страны и что сработало в каждом кейсе.
Офферы, кстати, в основном получали там, где проще с легализацией: Португалия, Кипр, Сербия, Нидерланды. При этом бигтех в Лондоне тоже реален, е…
📌 НАЧНИ ОТСЮДА — если ищешь работу за рубежом
Друзья, в канале много новеньких, и мы решили обновить закреп!
А заодно ещё раз поделиться с вами полезными материалами)
Мы AgileFluent — команда международных рекрутеров и преподавателей английского. Уже 5 лет мы помогаем IT- и digital-специалистам получать офферы за рубежом. За это время наши ребята получили 800+ офферов в 32 странах.
Этот канал про то, как IT- и di…
💬 LinkedIn не работает? А что, если ты не умеешь с ним работать?
Вчера прошёл веб про то, как превратить LinkedIn в магнит для интервью. Видим, как вам понравился этот вебинар, и неудивительно, ведь на нем мы давали максимум пользы и практики! А в конце была прожарка ваших страниц. Сегодня в продолжении темы, мы решили показать вам пример сильного линка: сначала внимательно посмотрите на скрины, а теперь к делу 👇🏻
…
😀 Эфир про LinkedIn уже через 2 часа, а твоей регистрации еще нет...
Часто слышим, что в 2026 его можно и не заводить, он не работает. Эти вредные советы распространяют те, кто просто ЗНАЕТ, КАК ПОЛУЧАТЬ ПО 7-8 ПРИГЛАШЕНИЙ В НЕДЕЛЮ. 😈
В 19:00 мск как раз расскажем, как разорвать этот порочный круг и сделать так, чтобы площадка начала работать на тебя. Если твои отклики уходят в пустоту, и ты не получаешь ни одного …
📍 Релокация в Германию: 15 компаний с РУССКИМИ корнями, надо?
В прошлом посте вы просили разобрать Германию, мы сделали. Погнали! 😉
Германия — это один из самых сильных рынков для релокации в IT и digital. Крупнейшая экономика ЕС, хронический дефицит кадров и компании, которые реально заинтересованы нанимать специалистов из-за рубежа.
В IT и digital здесь спокойно работают на английском: международные команды, анг…
💫 Понедельник начинается с веры в лучшее
Нам прилетела невероятно тёплая благодарность от клиента, который получил с нами 2 оффера🔥
Если ты тоже понимаешь, что сейчас не хватает поддержки и верной стратегии поиска для выхода на международный рынок, приходи на бесплатную консультацию с менеджером — посмотрим детально твой кейс, подскажем про следующие шаги и расскажем, как сможем помочь ⬇️
🌍 Записаться на консульта
🫨Рекрутер её отклонил. А одно письмо в LinkedIn привело к офферу
Нашу клиентку отклонил рекрутер: стандартное «спасибо, вы нам не подходите». Мы могли закрыть вкладку и идти дальше. НО вместо этого написали нанимающему менеджеру напрямую в LinkedIn. И девушка получила оффер в той самой компании, которая ответила реджектом.
Follow-up после отказа это рабочая стратегия, а не неловкость. Наши клиенты не раз получали т…
🤟Только поправили шапку в LinkedIn и уже оффер — и это не кликбейт
Клиентка пришла к нам с профилем, который, если честно, классика жанра:
➡️бэкграунд не заполнен и не релевантен цели
➡️в опыте до сих пор висит подработка официанткой из прошлой жизни
➡️в скиллах набор, который она вбила лет пять назад и с тех пор не трогала
Кстати, проверь это у себя прямо сейчас! Зайди в раздел Skills и посмотри на первые строчки…
😍😍 Оффер мечты в Spotify на £107K c повышением в грейде и в зарплате
Да-да, тот самый оффер, который вызвал жаркие споры в комментариях!
Наша клиентка, Senior Product Manager, пришла к нам на сопровождение до оффера прямо с текущей работы. Запрос был не «просто сменить место», а попасть в движовую продуктовую среду и в индустрию, которая ей по-настоящему интересна. Забегая вперед: она вышла в одну из самых культовы…
❤141❤🔥13🔥11🙏1
Showing the 12 most recent of 120 posts we hold for @agilefluent. 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
@agilefluent edited 18 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
10 August 2026
Most recent edit
15 October 2026
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Как думаете, что влияет на шансы получить оффер за рубежом?
Профессия и грейд45%
Уровень английского65%
Наличие опыта на международке39%
Релевантный желаемой позиции опыт59%
Гибкость по з/п и должности10%
Знание других иностранных языков26%
Текущая локация42%
The shares total 286%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 120 most recent posts we hold, published 14 July 2026 to 17 October 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 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 28 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
HIRED @hiredvalley · 26,522 Telegram ranks this channel #6 of 89 here — alongside 88 others — read 13 September 2026
🌎 CHOICY.WORK: Global карьера | вакансии | стартапы | удалёнка @choicy_work · 27,491 Telegram ranks this channel #10 of 95 here — alongside 94 others — read 11 September 2026
Connectable Jobs @zarubezhom_jobs · 105,112 Telegram ranks this channel #17 of 94 here — alongside 93 others — read 15 August 2026
Вакансии за рубежом @remote_jobs_relocate · 33,377 Telegram ranks this channel #23 of 95 here — alongside 94 others — read 5 September 2026
Hire ProProduct - Продуктовые вакансии @hireproproduct · 24,343 Telegram ranks this channel #33 of 98 here — alongside 97 others — read 17 September 2026
Relocate.Me: Jobs & Moving Abroad @relocateme · 34,554 Telegram ranks this channel #42 of 89 here — alongside 88 others — read 3 September 2026
Oh, world! @ohwrld · 26,652 Telegram ranks this channel #44 of 88 here — alongside 87 others — read 12 September 2026
Russian Speaking Jobs @rusukrjobs · 25,828 Telegram ranks this channel #45 of 95 here — alongside 94 others — read 14 September 2026
IT Relocation (Inflow) @Relocats · 33,070 Telegram ranks this channel #45 of 92 here — alongside 91 others — read 5 September 2026
Remocate: релокация, удалёнка, работа и вакансии @evacuatejobs · 139,867 Telegram ranks this channel #46 of 93 here — alongside 92 others — read 13 August 2026
Relocate - зарубежные вакансии на релокацию и удаленку @young_relocate · 52,802 Telegram ranks this channel #47 of 97 here — alongside 96 others — read 25 August 2026
Blue Card 🇩🇪 Советы Экспатам @BlaueKarteD · 19,600 Telegram ranks this channel #56 of 93 here — alongside 92 others — read 1 October 2026
RelocationDEV by GeeckoMove @relocationdev · 23,974 Telegram ranks this channel #69 of 89 here — alongside 88 others — read 17 September 2026
Нагуглила карьеру @dreamcatchme · 27,642 Telegram ranks this channel #78 of 92 here — alongside 91 others — read 12 September 2026
Job in IT&Digital @geekjobs · 51,436 Telegram ranks this channel #82 of 98 here — alongside 97 others — read 25 August 2026
This channel appears in 15 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 17 October 2026 — this
entry's latest reading, not the date you are reading this.
“AgileFluent: карьера без границ” (@agilefluent), 47,139 subscribers as measured 17 October 2026. Telegram Register, tgregister.com/channel/agilefluent.
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.