Telegram RegisterThe public register of Telegram

Channel

Дайджест копирайтера

@copywritersdigest

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

9,731subscribers

-3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001223692346
TypeChannel
Username@copywritersdigest
DescriptionКанал для копирайтеров, редакторов, маркетологов и всех, кто работает с контентом 💚 По вопросам @Kaloeva_1 Каналы ДК: https://vk.com/copywritersdigest https://max.ru/join/88oPxc7V14n3Uoh6SaO6xUVL3HbU0eaG4VA4KgTL6w8 https://dzen.ru/copywritersdigest
Created21 July 2019measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 13 August 2026
On Telegramt.me/copywritersdigest

Growth

9,7319,7369,733.56 August 2026 — 9,734 subscribers7 August 2026 — 9,736 subscribers10 August 2026 — 9,731 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net -3. 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 9,730–9,737 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 13:039,731-5
7 Aug 2026, 15:089,736+2
6 Aug 2026, 20:169,734first reading

Engagement

13 posts held, back to 30 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.51%
avg views ÷ 9,731 subscribers
Avg views / post
925
8 posts measured
Reaction rate
3.47%
reactions ÷ views · ER floor
Posts in window
8
of 13 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
WindowRolling 30 days · latest post in window 11 August 2026
Posts held13 (30 June 202611 August 2026)
Views total7,403
Reactions total257
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 14:53 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
2,340
Videos
12
Links
2,200

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. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

378 reactions across 13 posts, in 10 distinct kinds. The most used accounts for 28.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10928.8%
👍9926.2%
😁6717.7%
🔥6116.1%
💯225.82%
123.17%
💔30.794%
20.529%
👎20.529%
🙏10.265%

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 13 of the 13 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 378reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 30 June 2026 to 11 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.

Recent posts

11 Aug 2026, 07:04 UTC436 views55 reactionsread 12 August 2026
Photo

Первая реакция, когда просят «докрутить текст» 😄

😁39💯115

10 Aug 2026, 08:03 UTC638 views38 reactionsread 12 August 2026

С этой недели в ChatGPT можно будет работать с текстами бесплатно и без лимитов Для тех, кто сидит на бесплатном тарифе и Go, будет работать модель GPT-5.6 Luna. С ней появятся безлимитные текстовые чаты и новая кнопка «Think» для сложных вопросов. Останутся только ограничения на загрузки файлов, изображений и других инструментов.

👍19🔥154

3 Aug 2026, 08:04 UTC901 views35 reactionsread 12 August 2026
Photo

Кстати, в нейросетях можно настроить выполнение задач по расписанию Такая возможность есть в ChatGPT, Claude и других сервисах, при этом не нужно создавать ИИ-агентов. Сама узнала о ней недавно: забросила когда-то подписку, а как вернулась — сразу наткнулась. Что нейросеть будет делать? В работе: - каждое утро готовить подборку новостей отрасли - по понедельникам составлять план на неделю - оповещать, опубликова

👍209🔥6

28 Jul 2026, 08:33 UTC≈1,030 views26 reactionsread 12 August 2026
Forwarded from @pressfeedFile

С Днём пиарщика — держите подарок, который мы подготовили для вас вместе с коллегами 🎁 За каждой публикацией, инфоповодом, колонкой или интервью стоит то, чего никто не видит: десятки гипотез, правок, исследований, переговоров и часов работы. Поэтому мы решили сделать подарок, который действительно пригодится в работе. Вместе с редакторами, пиар-директорами, маркетологами и руководителями агентств мы собрали в один

18👍53

24 Jul 2026, 10:06 UTC≈1,090 views22 reactionsread 12 August 2026
Photo

Интересная вакансия для редактора. Редко увидишь, что активное использование ИИ — уже в первой строке требований

8💯5👍3💔3👎2🙏1

22 Jul 2026, 08:00 UTC≈1,270 views37 reactionsread 12 August 2026
Photo

Почему поздравления лучше не писать с нейронкой 😄

😁28💯62🔥1

20 Jul 2026, 08:02 UTC≈1,150 views30 reactionsread 12 August 2026
Photo

Как адаптировать резюме под вакансию с помощью ChatGPT Одно и то же резюме редко одинаково хорошо работает на разные вакансии. ChatGPT может помочь быстро перестроить резюме под конкретное описание должности: Ты — карьерный консультант. Задача: адаптировать моё резюме под вакансию. 1. Сравни описание вакансии и мой опыт. 2. Выдели достижения, которые максимально соответствуют требованиям. 3. Перепиши опыт так, ч

13👍9🔥71

17 Jul 2026, 06:33 UTC888 views14 reactionsread 12 August 2026

Прошлый пост про заполнение договоров собрал много реакций, так что поделюсь своим способом. Есть такая удобная штука в гугл-доках, называется Apps Script, она находится во вкладке расширений. Позволяет очень гибко настраивать разные функции и встраивать их в интерфейс сервиса. Какие приколюхи к ней еще можно прикрутить, я расскажу в отдельном посте. Итак, как настроить автоматическое заполнение договоров в Google

🔥7👍43

13 Jul 2026, 08:07 UTC≈1,020 views36 reactionsread 12 August 2026
Photo

Как проверить, что текст легко читается, с помощью ChatGPT Текст может быть грамотно написанным, но при этом перегруженным. Из-за длинных предложений, сложных слов и плотных абзацев бывает сложно понять смысл. Такое часто случается после нескольких итераций правок или когда материал пишут в спешке. Вот как с помощью промпта быстро проверить читаемость и сделать текст легче: Ты — опытный редактор, который проверяет

22👍11🔥3

9 Jul 2026, 10:01 UTC≈1,060 views16 reactionsread 12 August 2026

📍 Еще порция полезных статей из Нейромедиа Это журнал про нейросети, где я и другие замечательные авторы пишут про ИИ: как использовать его в работе и в жизни. Что вышло за последние пару недель: Как сгенерировать сайт с помощью нейросети Нейросети для генерации логотипов Сократик или Gamma: кому доверить работу над презентацией Почему все сходят с ума из-за нейросетей София Бакланова: я учу 1000 дизайнеров ко

9👍5🔥2

9 Jul 2026, 06:04 UTC978 views11 reactionsread 12 August 2026
Photo

Апскейл Минутка познавательного — этот термин означает улучшение качества цифрового контента: изображений, видео, аудио. Выше — пример скриншота, который мог оказаться в статье: замыленный, с плохо читаемым текстом. А ниже — как он выглядит после апскейла в ChatGPT. Делается простой командой: "Сделай апскейл изображения". Вот так без длинного промпта можно быстро улучшить качество любой картинки

5👍4🔥2

1 Jul 2026, 06:31 UTC969 views38 reactionsread 12 August 2026
Photo

Я больше не заполняю договоры на рекламу руками 🙌 Ну разве что чуть-чуть :) Кто продаёт или покупает рекламу в каналах — меня поймёт. На каждый пост нужны договор, спецификация, акт. Везде примерно одно и то же: номер, дата, ФИО, ИНН, сумма цифрами, сумма прописью, даты размещения. Раньше я заполняла всё вручную и каждый раз то цифру перепутаешь, то дату в акте забудешь поменять. Теперь я открываю шаблон в Google

👍1514🔥9

Showing the 12 most recent of 13 posts we hold for @copywritersdigest. 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.

Citation-graph rank

Citation-graph rank — 244,150 of 1,183,361entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 5 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.

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.

ChatGPT, помоги!
@GPThelp_ru · 468,164
Telegram ranks this channel #22 of 91 here — alongside 90 others — read 10 August 2026
Норм работа
@normrabota · 128,834
Telegram ranks this channel #84 of 99 here — alongside 98 others — read 13 August 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“Дайджест копирайтера” (@copywritersdigest), 9,731 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/copywritersdigest.

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.