Channel
@gorgona_media
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
362subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001857339824 |
|---|---|
| Type | Channel |
| Username | @gorgona_media |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/gorgona_media |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 20:35 | 362 | -2 |
| 8 Aug 2026, 06:32 | 364 | no change |
| 7 Aug 2026, 16:01 | 364 | first reading |
18 posts held, back to 16 November 2023 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 31 December 2025. An engagement rate over an empty window would be a number about nothing.
29 reactions across 10 posts, in 10 distinct kinds. The most used accounts for 31.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 9 | 31.0% | |
| ❤ | 6 | 20.7% | |
| 👍 | 3 | 10.3% | |
| 😁 | 3 | 10.3% | |
| 🍓 | 2 | 6.90% | |
| 🏆 | 2 | 6.90% | |
| ✍ | 1 | 3.45% | |
| 💯 | 1 | 3.45% | |
| 🤔 | 1 | 3.45% | |
| 🤬 | 1 | 3.45% |
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 10 of the 18 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 29reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 16 November 2023 to 31 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Коллеги и товарищи, поздравляем Вас с наступающим Новым годом! Отдельное мерси хотелось бы выразить Антону Ads Card, с кем мы писали когда-то подкаст, за его платежный сервис, не без помощи кастомных решений которого мы начали расти во второй половине 2025 года. Переклеили всю систему комиссий и рабочий флоу по картам. После ламанша и энибила он стал нашим бест солюшн с самым адекватным суппортом и человеческими fee…
❤5🔥4🍓2
$100 тысяч на In-App, Facebook против Moloco и невидимая война карт: хроника одного разговора [Partnerkin x Gorgona]
Подкаст Партнеркина и Вовы Gorgona Media с Антоном Хоменком: от продажи прогнозов на спорт в Телеграм до медиабаинга на сотни тысяч долларов 🔥 В свежем выпуске подкаста Партнеркина и Gorgona Media ведущий Владимир Давыдов поговорил с Антоном, владельцем X6 AGENCY. Обсудили все самое горячее из мира арбитража и маркетинга: разобрали, как работать со спендовой моделью, почему Телеграм — это отличный источник трафика,…
❤1
В сети появился проект Gorgona Investment. Это не часть нашей структуры. Мы не имеем отношения к данному проекту и не несем ответственность за результаты сотрудничества.
😁3✍1💯1🤬1
Video message, posted without a caption
🏆2
💙 Meet us on Affiliate World Dubai 26-27 Feb. 📍 Booth E30 ✉️ Contact: @nikitaarbitrage
Подкасты Партнеркина и Вовы Gorgona Media: обсуждаем нутра-офферы с Кириллом Иванником Мы продолжаем рубрику подкастов с владельцем Gorgona Media, Владимиром Давыдовым. В этом эпизоде в гостях Кирилл Иванник, более известный как Sirka или @sirka_cpa. Вместе они обсудили состояние вертикали нутры сегодня, как найти там рабочие офферы и какие тонкости нужно знать, чтобы не сливать в минус. Смотреть — https://youtu.b…
Владимир Давыдов: Увеличиваем конверт на нутре на tier-1 странах Буквально недавно закончился митап Партнеркина на Бали в честь 10-летия проекта. Некоторые из гостей выступали со своими докладами, которые в формате транскрибации мы публикуем на сайте. Вторым спикером стал Владимир Давыдов, овнер приватной партнерки Gorgona Media. В своем докладе он рассказал, почему не стоит хоронить нутру и как в сегодняшних реал…
👍1
📣 Что ждет инфлюенс-маркетинг в 2025 году? О будущих трендах и ключевых проблемах сферы с нами поделился Владимир Давыдов, Owner Gorgona Media ⏺ Как ИИ меняет правила игры ⏺ Почему рост конкуренции и усиление качества контента изменят работу ⏺ Стоит ли брендам инвестировать в готовых инфлюенсеров? ✨ Интересно? Листай карусель!
👍1
Новый материал про нутру от команды. https://pressaff.com/articles/prokladka-s-vysokoj-konversiej-dlya-stran-pervogo-tira/
Залив нутры на Tier-1 страны по модели SS: подходы, креативы и подходящие гео для новичков Льете на нутру, но конверт не впечатляет? Одной из причин может быть неверно выбранная модель оплаты за товар. Герой нашего материала, CEO аффилиат-команды Gorgona Media Владимир Давыдов уже много лет льет на нутру и знает, где и какая модель оплаты за товар сейчас лучше всего конвертит. В этой статье мы собрали самое интерес…
OnlyAff #14 — это точно нельзя пропустить! 🚀 Что же ждет в новом выпуске: 💥 СТИЛЬные DO & DON’T на арбитражном ивенте — Не быть, а блистать! Эти правила — ваш must-have для любого ивента! 📖В постоянной рубрике SMART READING мы расскажем, как создать сильную арбитражную команду, которая приведет к крутым офферам, большим бюджетам и топовым результатам! 🌆 Fridman Tower — обзор для тех, кто знает, что хорошие площад…
🔥3
Showing the 12 most recent of 18 posts we hold for @gorgona_media. 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 — 579,048 of 1,550,220entries 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.
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.
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.
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Gorgona Media 🧜🏻♀️” (@gorgona_media), 362 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/gorgona_media.
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.