Film & TV — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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 why it has no browse page of its own yet.
Growth
10 measurements spanning 42 days, net -5. 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 1,037–1,047 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 19:56
1,040
+2
11 Sept 2026, 08:39
1,038
-1
6 Sept 2026, 17:37
1,039
-3
2 Sept 2026, 04:12
1,042
+1
30 Aug 2026, 02:34
1,041
-1
20 Aug 2026, 09:34
1,042
-2
17 Aug 2026, 11:48
1,044
-2
13 Aug 2026, 23:59
1,046
+1
8 Aug 2026, 01:23
1,045
no change
7 Aug 2026, 09:16
1,045
first reading
Engagement
20 posts held, back to 18 April 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 1 page of 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 20 posts for this entry, the most recent from 14 October 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
163 reactions across 18 posts, in 11 distinct kinds. The most used accounts for 48.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
79
48.5%
❤
32
19.6%
🤣
15
9.20%
❤🔥
13
7.98%
👍
7
4.29%
🥰
7
4.29%
😁
3
1.84%
🤯
3
1.84%
🎉
2
1.23%
🍌
1
0.613%
🥴
1
0.613%
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 18 of the 20 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 163 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 18 April 2025 to 14 October 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.
Telegram Stars
Stars received
5
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @WeAreMidjourney. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 18 April 2025 to 14 October 2025. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
#зробленовукраїні #megogo
Коли сценарист — 11-річний син: історія фільму «Дамба» 🤩🤩🤩
Синопсис
На папері — похмура антиутопія про світ, що вмирає від спраги, де остання надія людства — Дамба, яку охороняють бобри. Звучить як серйозна заявка на похмурий кіберпанк? А насправді — це історія про те, як батько та 11-річний син разом роблять кіно, перетворюючи AI на інструмент для спільної творчості. І це, мабуть, цінніше…
Futuristic Streetwear Model
#Veo3 Prompt:
A futuristic streetwear model crouches low on a shard of obsidian — close-up on her face, eyes narrowed, lips twitching with a smirk. Their chrome puffer jacket is open to reveal a tshirt with VEO3 logo. They rise slow, head tilted, flexing one gloved fist to the beat as dust kicks off behind them. Their braided hair swings, streaked with UV-reactive threads.
The camera til…
Kling AI 2.1!
- КЛІНГ 2.1:
✨ Тепер у стандартному (720p) та професійному (1080p) режимах
💸 Всього 20 кредитів/5 секунд (стандартний) або 35 кредитів/5 секунд (професійний)
- KLING 2.1 Master:
⚡ думаю найкраща анімація на ринку
📺 Тепер повністю оновлено до 1080p
🔔 Примітка: KLING 2.1 (стандарт) наразі підтримує перетворення зображення на відео. Текст на відео з’явиться найближчим часом!
#kling
SUBSCRIBE
Grok в Telegram🖤
Зараз всі великі ТГ канали постять цю новину. Але розповім інше:
Після нещодавних обстрілів я зробив ТВІТ на імʼя Трампа і Маска, що вони зрадили нас і увесь цивілізований світ. Через 20 секунд мій пост в Х було видалено.
Майже рік назад, наш Український бот Pictor AI відмовились безкоштовно постити всі відомі ТГ канали. Суми за рекламу від 200$ - до 2000$(Труха).
На нашому ТГ We Are Midjourney, …
«Око Бога» Створено з #Veo3
Prompt:
Zoom from deep space to Earth, then race down through clouds and cities into a human eye. The eye reflects the journey, blinking slowly with cosmic light. Add epic sound design and realistic motion blur
SUBSCRIBE
🔥3❤2
Showing the 12 most recent of 20 posts we hold for @WeAreMidjourney. 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.
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.
ALPI Creators @creaitors_ua · 25,300 Telegram ranks this channel #18 of 77 here — alongside 76 others — read 14 September 2026
ChatGPT | Штучний нейрон @chatgptua · 38,075 Telegram ranks this channel #32 of 74 here — alongside 73 others — read 31 August 2026
Ооо нейромережеве🐱 @oooneuro · 26,165 Telegram ranks this channel #38 of 72 here — alongside 71 others — read 13 September 2026
This channel appears in 3 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“We Are Midjourney” (@WeAreMidjourney), 1,040 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/WeAreMidjourney.
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.
