на самом деле ебануто скучный контент стал на каналах, оставил наверное парочку которую читаю, и то это уже больше личные блоги челов связанных с трафиком, а так в основном тебя либо постами от чат гпт срут, либо вообще какой-то хуйней которую знает любой долбоеб, типо из разряда залить фб через языки можно было бы похвалить хоть как-то такие каналы, но в реальности даже старую фишку они умудряются засирать и переска…

Channel
GENeraTOR
@generatoragency
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
974subscribers
-8 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001364847778 |
|---|---|
| Type | Channel |
| Username | @generatoragency |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/generatoragency |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 06:56 | 974 | -8 |
| 7 Aug 2026, 04:35 | 982 | no change |
| 6 Aug 2026, 23:01 | 982 | first reading |
Engagement
13 posts held, back to 2 May 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 20.1%
- avg views ÷ 974 subscribers
- Avg views / post
- 196
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- 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.
| Window | Rolling 30 days · latest post in window 16 July 2026 |
|---|---|
| Posts held | 13 (2 May 2024 – 16 July 2026) |
| Views total | 196 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 23:01 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
62 reactions across 6 posts, in 8 distinct kinds. The most used accounts for 35.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 22 | 35.5% | |
| 👍 | 13 | 21.0% | |
| ❤🔥 | 8 | 12.9% | |
| custom 5456140674028019486 | 6 | 9.68% | |
| 🏆 | 6 | 9.68% | |
| 👏 | 4 | 6.45% | |
| 🍾 | 2 | 3.23% | |
| 😎 | 1 | 1.61% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 6 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 62reactions 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 2 May 2024 to 16 July 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
Спикеры делятся впечатлениями о BROCONF-6. *️⃣Эмоции, личные инсайты и моменты, которые остались за кадром! 💬 Мы собрали для вас интересные цитаты Спасибо каждому, кто сделал BROCONF таким мощным событием! 👍 Напиши в комментариях, кто произвел на тебя самое большое впечатление! 👇 ———————— ✉️ Читай новости 💬 Общайся ———————— BROCONF-7 😎Coming soon…
Что решает, HARD или SOFT Skill’s? На днях общался с HR крупной медиа-баинговой команды, где работает более 350 человек. Это показатель выстроенной системы и процессов — я рассказывал про это в своём докладе на Broconf-6, посвящённом ошибкам построения отделов. (Запись доклада будет позже — выложу в канал.) Главная мысль из разговора: при найме такие крупные команды, в первую очередь, оценивают soft skills, а не ha…
❤🔥1
🔔 Представляем спикера конференции: Александр Путков 🔤 Амбассадор NS Cards — проекта международного холдинга Zenex Group, создающего платёжные решения для медиабаинга, iGaming, финтеха и других high-risk вертикалей. 🔤Тема выступления: Стабильный баинг: работает даже тогда, когда ты отдыхаешь Александр пережил 9 “смертей” команд и десятки перезапусков. Расскажет о 5 критических ошибках, которые уничтожают медиабаин…
🔥5🏆2👍1
GENeraTOR pinned Deleted message
Сравнение качества трафика по апруву с каталогов и через языки (аналогично прямому заливу).
custom 54561406740280194863👍1
Доклад про создание VSL лендингов: https://youtu.be/7kXnOzkqrsM?si=BEkhsIYFrZvphFIJ
👍7🔥1
Выкатил мануал по созданию VSL с нуля: https://cpa.rip/blogs/vsl-landing/
🔥9❤🔥6🏆3🍾2custom 54561406740280194862😎1
https://telegra.ph/5000-lidov-v-sutki-na-nutre-s-Facebook-intervyu-s-ovnerom-komandy-EHto-Legko-04-14
🔥7👍4👏4❤🔥1🏆1custom 54561406740280194861
🎙Представляем спикеров BROCONF-5: Александр Путков. 🎙 «Взрываем конверсию и апрув в Нутре. Формула бомбического VSL.» 👉 Team Lead внутреннего отдела Media Buying’а партнерской программы Offer.Store (offer.store). 👉 7 лет опыта работы с Facebook и Nutra офферами. На BROCONF-5 расскажет о: — Том, как с помощью VSL снизить CPM в аукционе Facebook без потери конверта. — Технологии повышения апрува на 10-20% в Нутре.…
КРЕО КОТОРЫЕ КОНВЕРТЯТ У нас тут накопились наши авторские креативы, которые мы перестали заливать, так как обрастаем количеством новых подходов. Именно по этому, мы решили выложить в паблик креативы, которые вы можете залить и получить лидки с кайфовым cpl, при учете траста ваших переменных, о которых я уже рассказывал в интервью партнеркину, а также партнерке Lemonad Крео лучше отливать на небольших бюджетах, та…
ПРИЧИНА СЛЁТОВ РЕКЛАМНЫХ ПУБЛИКАЦИЙ Всем привет👋🏻 На этой неделе мы столкнулись с выносом наших рекламных публикаций со стороны fb. Эмпирическим путём мы выяснили что причина в одинаковых текстах рекламных объявлений. Как только мы заменили текст и сделали его уникальным, проблема исчезла👌🏻 Всем профитных заливов❤️
Showing the 12 most recent of 13 posts we hold for @generatoragency. 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“GENeraTOR” (@generatoragency), 974 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/generatoragency.
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.