4 measurements spanning 3 days, net -156. 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 6,230–6,432 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 00:18
6,253
-72
7 Aug 2026, 23:26
6,325
-84
7 Aug 2026, 13:02
6,409
no change
7 Aug 2026, 12:51
6,409
first reading
Engagement
21 posts held, back to 14 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
28.1%
avg views ÷ 6,253 subscribers
Avg views / post
1,760
7 posts measured
Reaction rate
0.552%
reactions ÷ views · ER floor
Posts in window
7
of 21 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 7 August 2026
Posts held
21 (14 October 2025 – 7 August 2026)
Views total
12,316
Reactions total
68
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:23 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
424
Videos
163
Links
411
Lifetime counters from Telegram’s own channel header, read 12 August 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.
Video runtime
1m 34s
Average length
47s
Measured directly from 2 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
183 reactions across 18 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👀
183
100.0%
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 18 of the 21 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 183reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 14 October 2025 to 7 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.
Бежим поделиться новостями! Наш клиент — бренд Сланцы — запустили первые продажи.
Теперь это не только красивый кейс у нас на сайте, а настоящий продукт, который можно купить и носить всё лето. У бренда сейчас 4 модели сланцев разных цветов.
Смотрите и заказывайте на сайте.
Очень радуемся за ребят и поддерживаем запуск. Если вам тоже нужен бренд-дизайн с нуля — приходите к нам. 🩴
Теперь здесь будет рил ток эбаут мост фэймос рашн шус бренд.
Есть ли у нас мечта? Да, у нас очень скромная цель: мы хотим, чтобы через два года нашу обувь носила сборная России на Олимпиаде 2028 в Лос Анджелесе. Пускай хотя бы несколько атлетов, пускай хотя бы у себя в номере, а не на параде нации на церемонии открытия. Но мы хотим, чтобы самые сильные и яркие люди нашей страны ассоциировали себя с нашим брендом и б…
Лучшие компании не создают новые привычки. Они переосмысляют существующие.
Uber не придумал поездки. Airbnb не придумал путешествия. Apple не придумал телефон. Они просто посмотрели на привычную вещь и спросили: «А почему она до сих пор выглядит именно так?»
Со «СЛАНЦАМИ» произошла похожая история. В какой-то момент слово стало настолько большим, что перестало принадлежать бренду. Оно стало частью общей культуры.
…
В русском языке не мало странных слов. Вот, например, хотя бы сланцы - откуда, кто решил, что шлёпки надо назвать в честь горючего камня?
А история поистине удивительна. Сланцы - это город, в котором я родился и вырос. В 60-х там был завод по производству резиновой обуви, который штамповал на подошве название города. Люди настолько привыкли к этой надписи, что стали звать так вообще любые шлёпки, любого производител…
Сори айм лейт.
Долгие годы работы в ИИ все больше меня уверяют, что технически возможно все. Поэтому сейчас важно это перестать делать то, что умеет делать нейронка, и пойти делать то, что она пока не умеет вообще и заложить фундамент для будущего развития чего то большего.
завтра/на днях расскажу всё по порядку: что это, зачем и почему я вообще на это подписался. спойлер: это будет странно, физическое и очень личн…
Начнем год с неудачных прогнозов.
Словом года стал Rage Bait (дословно « приманка на ярость ») - это когда кто-то использует что-то (мем, новость и т.д.) чтобы "заманить" тебя в состояние ярости или расстройства.
Да, контент снова правит нами, а агентам, как оказалось, еще долеко до выполнения majority of out tasks - их внедрение проваливается из-за сопротивления сотрудников, неэффективного использования инструмент…
Китайцы - короли продуктивности. И не удивительно, что именно там появляются такие практики. В приложении Doubao можно попросить ИИ-ассистента понаблюдать за ребёнком, пока он занимается. Когда ребёнок отвлекается, берет телефон или даже сутулится, то AI кричит просит вернутся к урокам.
Ждем во всех офисах страны.
Безос возвращается к активному управлению и выводит на рынок Project Prometheus — ИИ-платформу для инженерии и производства, стартующую с беспрецедентным финансированием в 6,2 млрд долларов. Подобный объём инвестиций на ранней стадии фактически фиксирует начало новой технологической гонки за «физический ИИ» — решениями, которые работают не с текстами, а с реальными объектами, производственными системами, оборудование…
Showing the 12 most recent of 21 posts we hold for @dev_cooking. 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
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
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.
Handles this channel named that no longer answer
Dead references
1
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
1
vacant every time we have ever looked
@dev_cooking 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@dataism_science named in 2 posts, 8 August 2026 – 11 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.
ChatGPT | Нейросети @gptpublic · 273,329 Telegram ranks this channel #22 of 90 here — alongside 89 others — read 10 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“Посланцы” (@dev_cooking), 6,253 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/dev_cooking.
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.