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Channel

Gevorkyan Ash

@GevorkyanAshot

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

358subscribers

+1 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-1001075664107
TypeChannel
Username@GevorkyanAshot
CreatedBetween 1 September 2016 and 30 September 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/GevorkyanAshot

Growth

357358357.56 August 2026 — 357 subscribers6 August 2026 — 357 subscribers12 August 2026 — 358 subscribers6 August 202612 August 2026
3 measurements spanning 6 days, net +1. 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 357–358 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 06:26358+1
6 Aug 2026, 21:03357no change
6 Aug 2026, 04:52357first reading

Engagement

11 posts held, back to 18 August 2025the 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
58.7%
avg views ÷ 358 subscribers
Avg views / post
210
1 post measured
Reaction rate
25.2%
reactions ÷ views · ER floor
Posts in window
1
of 11 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 29 July 2026
Posts held11 (18 August 202529 July 2026)
Views total210
Reactions total53
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 21:03 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

322 reactions across 10 posts, in 16 distinct kinds. The most used accounts for 36.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥11736.3%
10231.7%
❤‍🔥6319.6%
🏆82.48%
🆒72.17%
👍61.86%
30.932%
🎉30.932%
👎30.932%
👏30.932%
💯20.621%
🕊10.311%
😭10.311%
🤮10.311%
🤯10.311%
🦄10.311%

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 11 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 322reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 18 August 2025 to 29 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

29 Jul 2026, 16:18 UTC210 views53 reactionsread 6 August 2026
Photo

В 2025 году я решил перевести всю мою режиссерскую и фотографическую деятельность в ИИ, и основал студию SACCADE, собрав очень сильную команду ребят из индустрии с опытом и вкусом. Уже полтора года мы делаем рекламу, клипы и метим в кино, но долгое время не могли придумать брендинг, который раскрывал бы смысл названия, и нашего подхода. Наконец-то это случилось. Мой близкий друг Игорь Клепнев со своей студией bgr8s

❤‍🔥2115🔥10👏32🏆1🦄1

14 May 2026, 18:12 UTC382 views17 reactionsread 6 August 2026
Forwarded from @exposurepolice

Ровно год назад мы с друзьями из продакшна OMNI выложили короткометражку, которую снимали аж в 2019 году как proof of concept сериала-альманаха про советский ретро-футуризм. Отличный повод рассказать про этот проект поподробнее, так как он занимает в моём сердце особенное место. В общем дело было так: мы с моим другом Ашотом Геворкяном (@GevorkyanAshot) работали вместе на одном душераздирающем проекте для крупной ком

9🔥8

7 May 2026, 18:21 UTC377 views25 reactionsread 6 August 2026

Поболтали немного с товарищами генераторами за ИИ https://youtu.be/qR3IGkosHt0?si=tyk3mFpYntzgiA3h

14❤‍🔥5🎉3🏆21

18 Mar 2026, 09:01 UTC844 views72 reactionsread 6 August 2026
Photo

Всю жизнь сторонился любых конкурсов, хотя в фотографию пришел в 2006 году став лауреатом европейского конкурса, фотографируя всего пару месяцев. Это сильно мотивировало 18 летнего меня, и стало началом моего творчества. В прошлом году выиграл первый конкурс Higgsfield , на создание ИИ ролика, на который ушло ровно 5 часов, что позволило мне стать первым в мире официальным амбассадором Higgsfield,об этом выше ес

🔥3916❤‍🔥9🏆5👎3

27 Jan 2026, 14:36 UTC623 views15 reactionsread 6 August 2026
Photo

ПАЙПЛАЙН Маленького принца. По ссылке доска MIRO с процессом создания фильма. Тк все было сделано за 7-8 дня, порядка там не много, но что-то полезное можно для себя углядеть.

❤‍🔥8👍3🔥31

30 Dec 2025, 11:40 UTC863 views38 reactionsread 6 August 2026
Photo

МАЛЕНЬКИЙ ПРИНЦ Короткометражный ИИ фильм. СМОТРЕТЬ Оригинал. Англ. субтитры СМОТРЕТЬ Русские субтитры по закрытой ссылке Предыстория: Google и Арабские эмираты 2 месяца назад объявили о конкурсе 1billionsummit по созданию ИИ фильма от 7-10мин , с призовым фондом на 1млн $. Поначалу мне показалась интересным попробовать, но не было никаких идей, а 7-10 минут генерации с выдержанной драматургией казались чем-то

❤‍🔥1812🔥6🤮1😭1

8 Oct 2025, 09:06 UTC654 views53 reactionsread 6 August 2026
Video

О амбассадорстве в HIGGSFIELD Я как и многие баловался пресетами Higgsfield с разными операторскими приемами, и в целом иногда это решало мои задачи но не более. Следил за развитием компании, их дерзким маркетингом, и мне все больше нравилось что они делают, я искренне поверил в компанию, и часто делал репосты их релизов. Однажды Higgsfield запустили первый конкурс с денежными призовыми, я признаюсь не большой

🔥3013🆒7💯2❤‍🔥1

3 Sept 2025, 12:13 UTC490 views29 reactionsread 6 August 2026
Video

BURNING MAN Лет 5 назад написал идею о становлении мужчины бегущем через жизнь с горящей головой и перерождение. Изначально идею писал под муз.клип, , но по моим примеркам выходило накладно для клипа, а под рекламу не находился клиент кому мог бы предложить подобное. Месяц назад у меня был свободный вечер, и я решил накидать несколько тестовых картинок , и так увлекся что за 5 часов собрал первый драфтовый монтаж.

19🔥7❤‍🔥1👍1🕊1

22 Aug 2025, 09:36 UTC729 views11 reactionsread 6 August 2026

Премьера клипа! BRIGHTMN-Цунами https://youtu.be/FiUCDCCl-g8?si=ILAlWhILMclfiLXn

🔥62👍2🤯1

18 Aug 2025, 14:28 UTC397 views9 reactionsread 6 August 2026
Forwarded from @toastermagPhoto

#чтозарелиз Альбомы обычно слушают. Но иногда их хочется разобрать — чтобы понять, из чего сделаны музыка и смысл. Мы собрали для вас историю «Искры» BRIGHTMN: от идеи названия до мест силы, любимых строчек и личных песен. VK | Яндекс | Spotify | Apple Music toaster.mag

🔥81

Showing the 11 most recent of 11 posts we hold for @GevorkyanAshot. 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 — 261,001 of 1,481,346entries 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 2 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Gevorkyan Ash” (@GevorkyanAshot), 358 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/GevorkyanAshot.

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.