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Channel

Артишук Олег

@video4it

On this record: Topic · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

6,024subscribers

-94 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001380479363
TypeChannel
Username@video4it
Created22 December 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/video4it

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 38% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

6,0246,1186,0715 August 2026 — 6,118 subscribers6 August 2026 — 6,118 subscribers9 August 2026 — 6,117 subscribers12 August 2026 — 6,114 subscribers16 August 2026 — 6,100 subscribers19 August 2026 — 6,095 subscribers22 August 2026 — 6,091 subscribers25 August 2026 — 6,089 subscribers1 September 2026 — 6,093 subscribers5 September 2026 — 6,086 subscribers9 September 2026 — 6,081 subscribers13 September 2026 — 6,077 subscribers17 September 2026 — 6,075 subscribers25 September 2026 — 6,060 subscribers4 October 2026 — 6,059 subscribers10 October 2026 — 6,060 subscribers14 October 2026 — 6,055 subscribers16 October 2026 — 6,054 subscribers20 October 2026 — 6,044 subscribers22 October 2026 — 6,041 subscribers25 October 2026 — 6,034 subscribers29 October 2026 — 6,028 subscribers4 November 2026 — 6,025 subscribers6 November 2026 — 6,024 subscribers5 August 20266 November 2026
24 measurements spanning 93 days, net -94. 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 6,010–6,132 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
6 Nov 2026, 20:066,024-1
4 Nov 2026, 04:086,025-3
29 Oct 2026, 01:016,028-6
25 Oct 2026, 15:186,034-7
22 Oct 2026, 21:506,041-3
20 Oct 2026, 04:386,044-10
16 Oct 2026, 21:166,054-1
14 Oct 2026, 05:196,055-5
10 Oct 2026, 15:206,060+1
4 Oct 2026, 22:356,059-1
25 Sept 2026, 22:586,060-15
17 Sept 2026, 06:546,075-2
13 Sept 2026, 16:376,077-4
9 Sept 2026, 23:586,081-5
5 Sept 2026, 01:376,086-7
1 Sept 2026, 00:076,093+4
25 Aug 2026, 10:146,089-2
22 Aug 2026, 18:266,091-4
19 Aug 2026, 05:186,095-5
16 Aug 2026, 04:366,100first reading

Engagement

27 posts held, back to 20 December 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 13 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
26.7%
avg views ÷ 6,024 subscribers
Avg views / post
1,610
3 posts measured
Reaction rate
1.08%
reactions ÷ views · ER floor
Posts in window
3
of 27 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 24 October 2026
Posts held27 (20 December 2025 – 24 October 2026)
Views total4,820
Reactions total52
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 17:24 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

587 reactions across 27 posts, in 6 distinct kinds. The most used accounts for 34.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥20434.8%
❤17630.0%
👍16127.4%
👎233.92%
👏152.56%
😁81.36%

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 27 of the 27 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 587 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 27 most recent posts we hold, published 20 December 2025 to 24 October 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

Telegram’s own ‘edited’ marker: 0 of 3 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

24 Oct 2026, 12:40 UTC≈1,200 views24 reactionsread 5 November 2026
Forwarded from @tochkaGitPhoto

📣 Новий випуск! Гість – Владислав Мальчевський, співзасновник Voodoo Ecom, що об’єднує Shopify-магазини, агенцію та онлайн-школу. Поговорили про: 🔹Shopify vs Amazon: де вигідніше будувати e-commerce бізнес? 🔹Як знайти прибуткову нішу та вивести український бренд на міжнародний ринок 🔹Дропшипінг у 2026–2027 роках: з чого почати та скільки грошей потрібно 🔹Скільки коштує запуск власного бренду та яка окупність реклам…

❤18👎3🔥3

19 Oct 2026, 12:38 UTC≈1,570 views10 reactionsread 5 November 2026
Forwarded from @tochkaGit

📌 Від 80 провалених прототипів до $40 млн на одній грі Зібрали головні тези з інтерв’ю з Павлом Ландо, співзасновником Core5, про створення Black Deck, економіку мобільних ігор, співпрацю з паблішером та майбутнє mobile-геймдеву. 🚀 Core5: від фабрики прототипів до одного продукту - 80 прототипів за три роки. Core5 заснували у 2018 році Павло Ландо (екс-Wargaming) та Артем Глущеня (екс-HappyMagenta). На старті коман…

❤7👏3

11 Oct 2026, 11:28 UTC≈2,050 views18 reactionsread 5 November 2026
Forwarded from @tochkaGitPhoto

📣Новий випуск! 🔥Гість – Павел Ландо, засновник Core5, компанії, яка побудувала бізнес навколо однієї мобільної гри – Black Deck. З моменту запуску Black Deck принесла понад $40 млн виручки та отримала 8+ млн установок. У випуску поговорили про запуск Core5, десятки прототипів до першої успішної гри, вихід з гіперказуалу, конкуренцію, монетизацію та роботу з паблішером. Також обговорили економіку мобільної гри, рет…

❤12👍5👏1

6 Oct 2026, 11:16 UTC≈2,110 views11 reactionsread 5 November 2026
Forwarded from @tochkaGit

#саммарі Від №1 у Parental Control до $100+ млн у Health & Wellness: куди рухається mobile-бізнес Зібрали головні тези з інтерв’ю з Володимиром Ситніковим, керуючим партнером Brainstack, про трансформацію компанії, економіку мобільних застосунків, AI та майбутнє mobile-бізнесу. 📱 Від №1 у Parental Control – до нових вертикалей - Brainstack починала з Parental Control (застосунки для контролю дітей) і стала №1 у св…

🔥8👍3

24 Sept 2026, 13:56 UTC≈2,410 views21 reactionsread 5 November 2026
Forwarded from @tochkaGitPhoto

📣 У нас новий випуск! Повертаємось після літньої паузи. 🔥 Гість — Володимир Ситніков – управляючий партнер продуктової IT-компанії Brainstack У відео: 🔹Як компанія одного продукту перетворилася на мультипродуктову екосистему 🔹Чому Brainstack з parent control (де був №1 у ніші) пішов у health & fitness & wellness 🔹Як запускають нові бізнеси та обирають перспективні ніші 🔹Скільки заробляють мобільні застосунки та що …

👍10❤6👎3🔥2

27 Aug 2026, 14:09 UTC≈2,910 views27 reactionsread 5 November 2026
Forwarded from @tochkaGitPhoto

📣 Новий випуск! Гість – Антон Карбанович, підприємець з Мінська, який живе на Кіпрі. Розвиває бізнеси в e-commerce та AI. У 2017 році Антон позичив $30 000 і запустив на Amazon власний бренд свічок. За кілька років вивів його на $4 млн річного обороту, збудував свій свічковий завод, а у 2021 році продав бізнес за $2,5 млн. Також обговорили: касові розриви, провальні запуски, торгові марки, життя на Кіпрі, теологічн…

🔥18❤5👍3👎1

15 Aug 2026, 14:20 UTC≈4,230 views91 reactionsread 5 November 2026
Photo

Написав декілька слів.

❤50🔥28👏8👍5

3 Aug 2026, 13:30 UTC≈3,980 views11 reactionsread 5 November 2026
Forwarded from @tochkaGitPhoto

📣 Новий випуск! Гість – Павло Буянов, Founder & CEO BetCare – B2B-компанії, що спеціалізується на клієнтській підтримці для iGaming. У випуску: 🔹 Чому більшість iGaming-брендів закриваються вже в перші роки 🔹 Як насправді працює бізнес онлайн-казино зсередини 🔹 Скільки коштує утримувати службу підтримки та хто на цьому заробляє 🔹 Як запустити сервісний бізнес та отримати інвестиції 🔹 Скільки заробляє BetCare та яка…

👍6🔥3👎2

16 Jul 2026, 15:14 UTC≈3,310 views16 reactionsread 5 November 2026
Forwarded from @tochkaGitPhoto

📣 Новий випуск! 🔥 Гість – Артем Оніщук (Tema Ultra), криптоінвестор, співзасновник A01K та мережі криптовалютних Telegram-каналів. У випуску: 🔹 Криза в бізнесі, скорочення команди та невдалий запуск венчурного фонду 🔹 Крипта vs інфобізнес: на чому Артем заробив більше грошей 🔹 Де зараз гроші в крипті та як заробляють криптотрейдери 🔹 Платні криптоспільноти: який відсоток учнів курсів справді заробляє 🔹 Чи купив би …

🔥6😁5👍3❤1👏1

4 Jul 2026, 11:22 UTC≈3,210 views17 reactionsread 5 November 2026
Forwarded from @tochkaGitPhoto

📣 У нас новий випуск! 🔥 Гість (знову) – Павло Мунтян, співзасновник анімаційної студії Toonbox, автор «Містера Фрімена». Павло вже був на каналі 8 років тому. За цей час з’явилися ChatGPT та AI-агенти, ринок NFT занепав, а технології почали впливати на наше життя набагато сильніше, ніж багато хто очікував. У новому випуску ми говоримо про: 🔹 Що буде з людством через 25 років і чому ШІ забирає у людей роботу 🔹 Скіл…

👍13❤4

1 Jun 2026, 14:55 UTC≈3,250 views25 reactionsread 5 November 2026
Forwarded from @tochkaGitPhoto

📣 Новий випуск! Дмитро Бондар – співзасновник Boosta та фонду Burner – уже втретє в “Точка G”. (2017, 2020) Цього разу говоримо про трансформацію бізнесу, актуальні тренди та зміни ринку: SEO у 2026 році, реальний вплив AI та інвестиції. У випуску: 🔹 Як ChatGPT майже «вбив» essay-бізнес і змінив SEO-ринок 🔹 Boosta сьогодні: 15+ бізнес-юнітів, трансформація в холдинг та нові AI-напрямки 🔹 Інвестиції: чому прогорают…

🔥17❤8

18 May 2026, 12:35 UTC≈3,130 views16 reactionsread 5 November 2026
Forwarded from @tochkaGitPhoto

📣 Новий випуск! Гість – Дмитро Кічатий, засновник Trident Media, інвестор. Говоримо про: 🔹Трейдинг та крипту: як із $10 000 зробив $100 000+, вигорів та перейшов у бізнес 🔹Особисте: батько-«регіонал», екзистенційна криза, нова мотивація в бізнесі та ціль – «40 компаній до 40 років» 🔹 Арбітраж трафіку: чи «помер» афілейт-ринок, скільки сьогодні заробляють топові баєри та чому великі зарплати ($1+ млн) руйнують інд…

🔥13❤2👎1

Showing the 12 most recent of 27 posts we hold for @video4it. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 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.

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.

Артем Бородатюк
@artemborodatiuk · 27,037
Telegram ranks this channel #9 of 73 here — alongside 72 others — read 14 September 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“Артишук Олег” (@video4it), 6,024 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/video4it.

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.