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 11 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 why it has no browse page of its own yet.
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 word for word on 1 other registered channel. 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 (4 of the pairs behind the counts below)
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 2 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 30 July 2026 to 7 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).
Across the whole group of 2, the earliest publisher we hold is @digital_iskra — 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
10 measurements spanning 26 days, net -18. 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 8,467–8,504 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
2 Sept 2026, 03:57
8,474
+1
30 Aug 2026, 07:54
8,473
+2
27 Aug 2026, 01:03
8,471
-4
24 Aug 2026, 09:34
8,475
-8
17 Aug 2026, 18:37
8,483
-9
14 Aug 2026, 20:34
8,492
+1
11 Aug 2026, 08:56
8,491
-9
7 Aug 2026, 23:37
8,500
+8
7 Aug 2026, 09:30
8,492
no change
7 Aug 2026, 09:23
8,492
first reading
Engagement
59 posts held, back to 30 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 24 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.1%
avg views ÷ 8,474 subscribers
Avg views / post
859
39 posts measured
Reaction rate
0.208%
reactions ÷ views · ER floor
Posts in window
39
of 59 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 19 of 39 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 28 August 2026
Posts held
59 (30 July 2026 – 28 August 2026)
Views total
33,491
Reactions total
33
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 17:17 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
49 reactions across 24 posts, in 3 distinct kinds. The most used accounts for 79.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
39
79.6%
👍
6
12.2%
💔
4
8.16%
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 59 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 49 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 30 July 2026 to 28 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.
📌 Вакансия
🍎 Алматы
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📌🔥 Горячая вакансия
Всем привет! Ищем маркетологов / SMM-специалистов в новый проект от основателей сети батутных центров Kango.
В Алматы и Астане запускается парк развлечений нового формата, построенный вокруг виртуальной реальности и современных цифровых технологий. По сути, это новое развлекательное пространство, куда люди будут приходить за необычным опытом, эмоциями и погружением в VR.
Проект запускается с ну…
Полезное 🪄
12 сентября STEPPE FAIR собирает в Алматы tech-сообщество — разработчиков, AI-специалистов, продуктовые команды, стартапы и инвесторов.
В программе: дискуссия о том, как AI меняет продукты и пользовательский опыт с представителями Freedom, Almaty Hub, MOST Holding, Higgsfield и других компаний.
Также будет воркшоп по vibe-coding и Pizza Pitch × STEPPE × Almaty Hub: трехминутные питчи, где можно предста…
📌🔥 Горячая вакансия
ИЩЕМ СТОРИСМЕЙКЕРА · АЛМАТЫ
В частную школу Beta High School проектно требуется сторисмейкер.
Задачи:
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• Прописывать сценарий на день
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Норма: 20 сторис в день.
Ждём тебя, если ты креативный и делаешь сторис, которые досматривают до …
📌🔥 Горячая вакансия
‼️Ищем SMM-специалиста в нашу команду 🙌🏻
Мы — компания по химчистке мебели, ковров и других изделий, и сейчас ищем SMM-специалиста, который возьмёт на себя ведение нашего Instagram и поможет развивать аккаунт.
✅Условия работы SMM
Ведение аккаунта:
● Полное ведение Instagram-аккаунта.
● Stories — 4–5 сторис в день.
● Reels — 12 видео в месяц.
● Составление и ведение контент-плана.
● Подготов…
📌 Вакансия
🔥 ИЩЕМ МАРКЕТОЛОГА
📍 Алматы | Медицинская лаборатория
Ищем маркетолога с реальным опытом, который сможет самостоятельно вести основные маркетинговые процессы:
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СРОЧНО ИЩУ КРЕАТИВНОГО МОНТАЖЁРА | АЛМАТЫ
Ищу монтажёра для личного бренда - важно, чтобы вы чувствовали тренды, умели креативно и современно обрабатывать видео.
Только с опытом и кейсами.
Без портфолио и начинающих прошу не писать.
📞 8 778 470 01 18
📌 Вакансия
Вакансия: Креатив маркетолог (Creative Marketing Manager) | г. Алматы
Обязанности:
Разработка идей и сценариев для TikTok, Reels и YouTube
Организация съёмок (поиск актёров, работа с оператором и монтажёром)
Анализ эффективности рекламы совместно с таргетологом
Условия:
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📌🔥 Горячая вакансия
Срочно нужна модель на съемку на завтра-среду
Съемка коротких видеороликов для Instagram (Таргет) для двух направлений: оффлайн курсы, школа английского
📍Алматы, снимаем в центре города в парке. Будет телесуфлер, можно будет просто лаконично прочитать текст в камеру
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Занятость суммарно 2 часа, просьба присылать свое фото/вид…
📌🔥 Горячая вакансия
‼️Ищем SMM-специалиста в нашу команду 🙌🏻
Мы — компания по химчистке мебели, ковров и других изделий, и сейчас ищем SMM-специалиста, который возьмёт на себя ведение нашего Instagram и поможет развивать аккаунт.
✅Условия работы SMM
Ведение аккаунта:
● Полное ведение Instagram-аккаунта.
● Stories — 4–5 сторис в день.
● Reels — 12 видео в месяц.
● Составление и ведение контент-плана.
● Подготов…
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Ищем видеографа в маркетинговое агентство. Опыт работы обязателен.
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Задачи:
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Требуется SMM-специалист💻
📍г. Астана | Сфера «Умный дом»
Ищем креативного и самостоятельного SMM-специалиста в команду.
Важно: нужен человек с реальным опытом ведения коммерческих аккаунтов
Что важно:
— опыт работы в SMM;
— умение снимать и монтировать Reels/Stories;
— создание контента и контент-планов;
— понимание продвижения и привлечения клиентов;
— инициативность и умение предлагать
График работы:…
❤1
Showing the 12 most recent of 59 posts we hold for @digital_iskra. 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.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Ярмарка вакансий Алматы | Работа Алматы @almaty_rabota01 · 40,113 Telegram ranks this channel #1 of 70 here — alongside 69 others — read 30 August 2026
JobKZ: вакансии / работа в Казахстане @jobkz_1 · 36,626 Telegram ranks this channel #5 of 88 here — alongside 87 others — read 1 September 2026
This channel appears in 2 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 2 September 2026 — this
entry's latest reading, not the date you are reading this.
“DIGITAL ВАКАНСИИ KZ | СММ | ДИЗАЙН | ТАРГЕТ | МОБИЛОГРАФИЯ | КАЗАХСТАН | Iskra Station” (@digital_iskra), 8,474 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/digital_iskra.
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.