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 the other topics.
Growth
59 measurements spanning 92 days, net +1,095. 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 14,597–16,050 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
7 Nov 2026, 13:36
15,874
-8
6 Nov 2026, 16:20
15,882
+40
5 Nov 2026, 12:48
15,842
+11
4 Nov 2026, 10:20
15,831
+8
3 Nov 2026, 10:36
15,823
+17
2 Nov 2026, 13:09
15,806
+12
1 Nov 2026, 11:39
15,794
+11
31 Oct 2026, 13:17
15,783
+19
30 Oct 2026, 13:15
15,764
+16
29 Oct 2026, 10:55
15,748
+8
28 Oct 2026, 06:09
15,740
+17
27 Oct 2026, 03:00
15,723
+23
26 Oct 2026, 00:21
15,700
+2
25 Oct 2026, 02:21
15,698
+6
24 Oct 2026, 04:57
15,692
+8
23 Oct 2026, 03:16
15,684
+17
20 Oct 2026, 21:30
15,667
+11
19 Oct 2026, 22:14
15,656
+2
18 Oct 2026, 22:35
15,654
+5
17 Oct 2026, 19:10
15,649
first reading
Engagement
484 posts held, back to 6 August 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.77%
avg views ÷ 15,874 subscribers
Avg views / post
917
74 posts measured
Reaction rate
0.47%
reactions ÷ views · ER floor
Posts in window
74
of 484 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 6 November 2026
Posts held
484 (6 August 2026 – 6 November 2026)
Views total
67,832
Reactions total
319
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 05:11 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
1m 31s
Average length
23s
Measured directly from 4 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
2,404 reactions across 478 posts, in 28 distinct kinds. The most used accounts for 50.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,216
50.6%
👍
365
15.2%
🔥
222
9.23%
😱
125
5.20%
🤩
124
5.16%
👌
101
4.20%
👀
74
3.08%
🤯
29
1.21%
✍
24
0.998%
💘
20
0.832%
👏
19
0.79%
🐳
17
0.707%
❤🔥
16
0.666%
🍓
8
0.333%
😇
7
0.291%
🙏
7
0.291%
👨💻
6
0.25%
💋
4
0.166%
😍
4
0.166%
🤝
4
0.166%
8 further kinds
12
0.499%
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 483 of the 484 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 2,404 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 484 most recent posts we hold, published 6 August 2026 to 6 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
5.37%
26 of 484 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
1,150
over 26 measured posts
Median views · rest
966
over 458 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Measured over the 484 most recent posts we hold, published 6 August 2026 to 6 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: 0 of 74 posts held from the last 30 days (0%) 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).
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Требования:
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РАБОЧИЕ НА РЕМОНТ КВАРТИР
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Официальное трудоустройство по договору DPČ (dohoda o pracovní činnosti), прямой работодатель.
Треб…
МАЙСТЕР-БРОВІСТ ДО СТУДІЇ
Для роботи в моїй студії шукаю майстриню яка буде працювати з клієнтами з корекцією і фарбуванням, а також стане моєю помічницею під час проведення курсів з перманентного макіяжу.
Для мене важливо:
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КУРЬЕР НА МОПЕДЕ ИЛИ НА СВОЁМ АВТО | МОПЕД ПРЕДОСТАВЛЯЕТСЯ
ОПЛАТА
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+ 10–20 CZK за каждую доставку
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ГРАФИК
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Локация: Прага 5 / Прага 7 / Прага 10
ТРЕБОВАНИЯ
Права категории B
Ответственность, аккуратность и пунктуальность
Вежливость
Умение пользоваться навигацией
ОБЯЗАННОСТИ
Доставка зак…
ТУРИСТИЧЕСКИЙ БИЗНЕС
Возможность работать в туристическом бизнесе онлайн!
Удалённый формат, гибкий график. Вознаграждение зависит от результата
Что даю:
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Обязанности:
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📱 За подробностями пишите в WhatsApp: +420739366961
📱 Instagram: lubov_antip…
ХОЧЕШЬ НАУЧИТЬСЯ РЕМОНТИРОВАТЬ АВТО? МЫ ИЩЕМ ИМЕННО ТЕБЯ!
Autoservis LUCKY в Праге (Зличин) приглашает автомеханика / помощника механика!
Зарплата: от 30 000 Kč/месяц
• Официальное трудоустройство
График: Пн–Пт 8:00–17:00, выходные свободны
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Дружная команда и сервис, которому доверяют клиенты
Ищем того, кто:
▪️ любит работать руками
▪️ хочет учиться и расти
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Зарплата / Вознаграждение:
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🔍 ИЩУ РАБОТУ
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ПЕРСОНАЛ В СЕТЬ РЕСТОРАНОВ
В сеть ресторанов в Праге требуются:
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❤1
Showing the 12 most recent of 484 posts we hold for @rabota_praga_cz. 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
@rabota_praga_cz edited 4 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
8 August 2026
Most recent edit
1 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 1 registered channel — 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
3
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@rabota_praga_cz named 3 handles 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@ukrainian_praha_mgamedia named in 2 posts, 21 August 2026 – 22 August 2026
@praha_work named in 1 post, 11 August 2026 – 11 August 2026
@taysonderulius named in 1 post, 8 August 2026 – 8 August 2026
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.
Работа Чехия 🇨🇿 @Praga_prace_jobs · 9,682 Telegram ranks this channel #4 of 54 here — alongside 53 others — read 6 September 2026
Работа в Праге @praga_chekhia · 6 Telegram ranks this channel #4 of 73 here — alongside 72 others — read 2 September 2026
Набор сотрудников в команду по арбитражу монет @pragae_chekhia · 5 Telegram ranks this channel #8 of 79 here — alongside 78 others — read 20 September 2026
Вакансии Прага | Работа @praga_chekhiae · 15 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 26 August 2026
KOVER | Чешский язык | Чехия @kover_czech · 24,136 Telegram ranks this channel #17 of 76 here — alongside 75 others — read 16 September 2026
The Česko | Новости | Чехия | Прага @the_cesko · 36,240 Telegram ranks this channel #41 of 77 here — alongside 76 others — read 3 September 2026
Елена Гайдукова | Чешский язык | KOVER school @cz_tutor · 20,619 Telegram ranks this channel #54 of 77 here — alongside 76 others — read 26 September 2026
Прага | 🚌✈️ Путешествия и билеты @mmnt_travel · 20,412 Telegram ranks this channel #65 of 69 here — alongside 68 others — read 28 September 2026
Чехия | Чехія | Прага @praga_chehiya_czech · 21,671 Telegram ranks this channel #67 of 77 here — alongside 76 others — read 25 September 2026
This channel appears in 9 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Work.cz | Работа Прага / Робота в Празі” (@rabota_praga_cz), 15,874 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/rabota_praga_cz.
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.