Вакансии в SMM и Digital с ЗП от 150 000 рублей в месяц на руки.
Опубликовать вакансию https://t.me/dnative_job/3375
Отзывы @dnative_job_review
Основной канал - @dnative
Канал со всеми вакансиями @dnative_job
Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Job listings — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (5 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 3 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 6 July 2026 to 3 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 2 channels, the one whose matching posts we hold earliest is @dnative_job100 — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
65 measurements spanning 95 days, net +4,814. 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 24,698–30,981 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
10 Nov 2026, 02:40
30,237
-19
8 Nov 2026, 17:06
30,256
+1
7 Nov 2026, 11:18
30,255
+16
6 Nov 2026, 12:09
30,239
+13
5 Nov 2026, 09:36
30,226
+26
4 Nov 2026, 12:04
30,200
+26
3 Nov 2026, 12:41
30,174
+3
2 Nov 2026, 12:10
30,171
+25
1 Nov 2026, 12:35
30,146
+11
31 Oct 2026, 12:06
30,135
+10
30 Oct 2026, 13:06
30,125
+12
29 Oct 2026, 13:38
30,113
+7
28 Oct 2026, 16:08
30,106
+17
27 Oct 2026, 15:46
30,089
-6
26 Oct 2026, 15:50
30,095
+34
25 Oct 2026, 13:16
30,061
+8
24 Oct 2026, 14:21
30,053
+12
23 Oct 2026, 15:36
30,041
+41
22 Oct 2026, 14:37
30,000
+96
21 Oct 2026, 11:38
29,904
first reading
Engagement
104 posts held, back to 6 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 147 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.08%
avg views ÷ 30,237 subscribers
Avg views / post
2,140
32 posts measured
Reaction rate
0.235%
reactions ÷ views · ER floor
Posts in window
32
of 104 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 18 of 32 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 10 November 2026
Posts held
104 (6 July 2026 – 10 November 2026)
Views total
68,544
Reactions total
97
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 23:25 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
17
Videos
1
Links
867
Lifetime counters from Telegram’s own channel header, read 10 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
257 reactions across 48 posts, in 2 distinct kinds. The most used accounts for 72.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👎
186
72.4%
👍
71
27.6%
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 50 of the 104 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 257 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 104 most recent posts we hold, published 6 July 2026 to 10 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.
Advertising
Ad load
0.962%
1 of 104 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
1,970
over 1 measured post
Median views · rest
1,810
over 103 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
CQH36pWzJqE1dR7FuaEhgPJ9mK29FH3mU6UrftThXTxAmu
1
1 October 2026
1 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 104 most recent posts we hold, published 6 July 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 32 posts held from the last 30 days (12.5%) 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).
🖥 Вакансия — Удалённо
🕹 Должность
Senior SEO-специалист (iGaming)
🕹 Работодатель
PMD-Agency
🕹 Список обязанностей:
- Развитие проектов в gambling/betting-нише: вывод в топ с нуля и рост показателей на действующих доменах
- Работа с мульти-GEO стратегией: понимание нюансов регуляторики, языковых и культурных особенностей разных рынков (Tier-1: US/CA/AU/DE, Tier-2: LatAm, Tier-3: CIS/Africa/Asia и проч.)
- Постро…
🖥 Вакансия — Удалённо
🕹 Должность
Руководитель отдела маркетинга в онлайн-школу здоровья
🕹 Работодатель
Школа здоровья Татьяны Завражиной
Мы команда онлайн-проекта Татьяны Завражиной. Татьяна - известная травница, уже много лет успешно ведет свои проекты по оздоровлению и укреплению сил человека.
🕹 Список обязанностей:
• Выполнение плана по выручке: план считаете от воронки и отвечаете за результат от регистрац…
🖥 Вакансия — Москва
🕹 Должность
SMM - менеджер
🕹 Работодатель
ИП Немцев Павел Сергеевич
Занимаемся продвижением проектов в разных нишах. Работаем с рекламой, контентом и лидогенерацией. Сейчас ищем SMM-специалиста для развития 2-х проектов с акцентом на качественный видеоконтент, вовлечение аудитории и формирования доверия к брендам.
🕹 Список обязанностей:
— Разработка и реализация SMM-стратегии для нескольких …
🖥 Вакансия — Удалённо
🕹 Должность
Head of Growth / Руководитель маркетинга
🕹 Работодатель
vsevpn
Подписочный VPN-сервис для частных пользователей. Ищем руководителя, который полностью возьмёт на себя маркетинг и будет отвечать за рост платящей базы и выручки.
🕹 Список обязанностей:
• Согласовать с основателями цели и бюджет. Самостоятельно определять приоритеты, планировать запуски и отвечать за результаты марк…
🖥 Вакансия — Удалённо
🕹 Должность
SMM Creative Lead
🕹 Работодатель
Stergo
Мы международное digital-агентство с более чем 10-летним опытом продвижения в социальных сетях. Также более 4 лет мы разрабатываем и масштабируем собственные мобильные приложения.
Сейчас ищем SMM Creative Lead для развития социальных сетей наших VPN-приложений на международном рынке.
🕹 Список обязанностей:
• Разрабатывать и реализовывать…
🖥 Вакансия — Москва
🕹 Должность
СММ-менеджер, СММ лид
🕹 Работодатель
ООО НК-Маркетинг
https://nk-marketing.ru
🕹 Список обязанностей:
Выезд на съемку (и ее проведение) по Москве и в офис в совокупности 2-3 раза в неделю
Контент-план и его реализация в социальных сетях
Создание контента: посты, stories, reels, видеоматериалы, брошюры, дайджесты, в том числе с помощью ии
Фото- и видеосъемка для социальных сетей…
🖥 Вакансия — Удалённо
🕹 Должность
Руководитель отдела маркетинга в онлайн-школу здоровья
🕹 Работодатель
Школа здоровья Татьяны Завражиной
Мы команда онлайн-проекта Татьяны Завражиной. Татьяна - известная травница, уже много лет успешно ведет свои проекты по оздоровлению и укреплению сил человека.
🕹 Список обязанностей:
• Выполнение плана по выручке: план считаете от воронки и отвечаете за результат от регистрац…
🖥 Вакансия — Удалённо
🕹 Должность
Marketing Manager
🕹 Работодатель
DARI COMPANY
DARI — креативное маркетинговое агентство из Южной Кореи. Мы специализируемся на продвижении корейских косметических брендов и построили большую сеть креаторов, которая соединяет бренды с их аудиторией.
https://daricrew.com/ и https://bonyasbox.store/
🕹 Список обязанностей:
*Стратегия и запуски:*
- Разрабатывать и реализовывать марк…
🖥 Вакансия — Удалённо
🕹 Должность
Проджект-менеджер Keyto.
🕹 Работодатель
ООО Цифровая Психология
Мы KEYTO — образовательный проект в сфере цифровой психологии. Развиваем личный бренд Валерия Якубцевича, ведём несколько крупных социальных сетей, продаём обучение, книги и собственные цифровые продукты.
https://keyto.ru/valeriy
🕹 Список обязанностей:
- Организовывать работу команды: ставить задачи, распределять н…
🖥 Вакансия — Москва
🕹 Должность
Рилс продюссер
🕹 Работодатель
Команда Васильева
Контент-агентство «Команда Васильева» ищет рилс-продюсера, который умеет придумывать и создавать работающий контент
Работаем в сфере недвижимости с крупнейшими девелоперами, известными агентствами и топовыми экспертами отрасли.
Подробнее о нас: vadim-v.com
🕹 Список обязанностей:
• Разрабатывать позиционирование и контент-стратегии…
🖥 Вакансия — Удалённо
🕹 Должность
Маркетолог в команду нутрициолога
🕹 Работодатель
Happy New Body
Happy New Body — международный онлайн-проект в нише питания и похудения.
https://www.instagram.com/uliana_happynewbody/
https://online.happynewbody.com
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— работа с запусками и автоворонками;
— разработка и оптимизация воронок под органический трафик;
— подготовка текстов для лендингов, чат-бот…
🖥 Вакансия — Удалённо
🕹 Должность
Руководитель креативного маркетинга
🕹 Работодатель
Werlion
Российский бренд одежды, продажи через WB и Ozon.
🕹 Список обязанностей:
Ищем человека, который полностью возьмёт ответственность за развитие социальных сетей бренда: от стратегии и нестандартных креативных идей до привлечения трафика, организации исполнения и измеримого результата.
Задачи: рост целевой аудитории, поиск…
Showing the 12 most recent of 104 posts we hold for @dnative_job100. 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
@dnative_job100 edited 2 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
16 October 2026
Most recent edit
30 October 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@dnative_job100 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@rashadoffi named in 2 posts, 25 October 2026 – 30 October 2026 · confirmed gone 28 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 13 September 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.
Вакансии SMM и Digital @dnative_job · 106,173 Telegram ranks this channel #1 of 97 here — alongside 96 others — read 15 August 2026
🎯 marketing jobs — вакансии для маркетологов @marketing_jobs · 62,061 Telegram ranks this channel #11 of 98 here — alongside 97 others — read 22 August 2026
Job for Media & Content @forallmedia · 23,511 Telegram ranks this channel #13 of 97 here — alongside 96 others — read 18 September 2026
A-Teams | Карьера @huggabletalents · 135,875 Telegram ranks this channel #13 of 96 here — alongside 95 others — read 13 August 2026
DUAL 🔗 КЛИК — вакансии & развитие карьеры @cliquejobs · 21,203 Telegram ranks this channel #15 of 96 here — alongside 95 others — read 26 September 2026
Вакансии. «Модный факультет» @fashionfaculty · 66,740 Telegram ranks this channel #16 of 92 here — alongside 91 others — read 21 August 2026
Grintern: стажировки в digital и медиа @grinternru · 29,915 Telegram ranks this channel #17 of 99 here — alongside 98 others — read 8 September 2026
Больше джобсов @morejobs · 84,549 Telegram ranks this channel #17 of 97 here — alongside 96 others — read 18 August 2026
Норм удалёнка @normremote · 36,733 Telegram ranks this channel #19 of 100 here — alongside 99 others — read 7 September 2026
Джобстер Digital | Маркетинг | Вакансии и резюме @digital_jobster · 46,715 Telegram ranks this channel #19 of 92 here — alongside 91 others — read 31 August 2026
Работа в диджитал и медиа @workasap · 75,549 Telegram ranks this channel #20 of 98 here — alongside 97 others — read 19 August 2026
Леночка, войдите! SMM вакансии @comeinlena · 29,409 Telegram ranks this channel #21 of 89 here — alongside 88 others — read 11 September 2026
DNative — блог Ткачука про SMM @dnative · 79,974 Telegram ranks this channel #21 of 98 here — alongside 97 others — read 18 August 2026
Ждём резюме l Лайфхакер @zdemcv · 80,380 Telegram ranks this channel #23 of 100 here — alongside 99 others — read 19 August 2026
Job for Marketing @forallmarketing · 21,401 Telegram ranks this channel #26 of 99 here — alongside 98 others — read 25 September 2026
Норм работа @normrabota · 142,743 Telegram ranks this channel #28 of 99 here — alongside 98 others — read 13 August 2026
Удаленка. Вакансии и резюме Маркетинг, SMM, Digital - все для онлайна @rabota_freelancee · 32,899 Telegram ranks this channel #32 of 91 here — alongside 90 others — read 11 September 2026
Я работаю в digital, детка 🚀 @digital_rabota · 34,242 Telegram ranks this channel #34 of 98 here — alongside 97 others — read 3 September 2026
+1 в команду Яндекс Практикума @practicum_experts · 24,398 Telegram ranks this channel #40 of 98 here — alongside 97 others — read 16 September 2026
Эйч Вакансии @hcareers_jobs · 45,457 Telegram ranks this channel #45 of 98 here — alongside 97 others — read 30 August 2026
Finder.work: работа и вакансии @theyseeku · 273,702 Telegram ranks this channel #45 of 96 here — alongside 95 others — read 10 August 2026
Вакансии для своих✨ @cozy_hr · 56,894 Telegram ranks this channel #47 of 100 here — alongside 99 others — read 25 August 2026
RemoteGeekjob @remotegeekjob · 26,011 Telegram ranks this channel #48 of 97 here — alongside 96 others — read 14 September 2026
витрина | vitrina.jobs @vitrinajobs · 117,670 Telegram ranks this channel #48 of 88 here — alongside 87 others — read 15 August 2026
This channel appears in 39 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Dnative Job 150k+” (@dnative_job100), 30,237 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/dnative_job100.
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.