Art & design — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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
8 measurements spanning 5 days, net -335. 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 155,204–155,639 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 22:04
155,254
-73
11 Aug 2026, 22:23
155,327
-51
10 Aug 2026, 23:45
155,378
-53
9 Aug 2026, 21:51
155,431
-72
8 Aug 2026, 21:11
155,503
-61
7 Aug 2026, 21:51
155,564
-25
7 Aug 2026, 11:30
155,589
no change
7 Aug 2026, 11:19
155,589
first reading
Engagement
20 posts held, back to 21 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 16 pagesof 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 8 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
6m 53s
Average length
59s
Measured directly from 7 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
2,242 reactions across 20 posts, in 26 distinct kinds. The most used accounts for 29.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
669
29.8%
❤
596
26.6%
👍
365
16.3%
😁
284
12.7%
🤣
102
4.55%
❤🔥
55
2.45%
🕊
32
1.43%
🤯
20
0.892%
🤔
19
0.847%
🥴
18
0.803%
🙈
15
0.669%
🗿
14
0.624%
😐
11
0.491%
👾
9
0.401%
😍
7
0.312%
😴
7
0.312%
😨
5
0.223%
🤷♂
3
0.134%
🥰
3
0.134%
😱
2
0.089%
6 further kinds
6
0.268%
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 20 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 2,242reactions 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 21 December 2025 to 8 June 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.
Telegram Stars
Stars received
11
across the posts below
Posts paid on
6
of 20 we hold a reading for · 30%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @midjourney_home. 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 21 December 2025 to 8 June 2026. 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.
🏰 Стиль Dr. Seuss: магия линий и фантазии
Причудливая архитектура, сказочные существа и характерный pen-and-ink стиль Dr. Seuss
Промт для Midjourney V8.1:
A skyline of impossibly tall wobbly buildings that lean and curve in all directions, vehicles shaped like oval bubbles zooming through the air, creatures with long necks peering from rooftops, Dr. Seuss pen-and-ink style --ar 16:9 --exp 90 --sref https://s.mj.run…
Обложки для журналов
Промт
Gollum drowning in hot lava, holding the ring, lotr, japanese pop magazine cover, kanji, warm colours, lotr --ar 5:6 --raw --stylize 200
Генерация в нейросети Midjourney → бот @midjorobot
→ Продолжение в комментариях
Путешествие от Миджорни
Промт
A brutalist slab elevated on a single central pillar, camouflaged in fog. --chaos 20 --profile eyvvfqh ::1 rs73vqi ::1 mjwjqn4 ::0.4 i7a9da2 ::0.6 --stylize 700 --v 7
Генерация в нейросети Midjourney → бот @midjorobot
→ Продолжение в комментариях
Дайвинг с Миджорни
Промт
Underwater scene with two scuba divers swimming next to a gigantic deep sea mutant ammonite , crystal clear water, calm open ocean, muted blue color palette, soft diffused daylight fading into darkness, the jellyfish vastly larger than the diver, glowing bioluminescent lure extending forward, realistic skin texture and scars, diver appearing small and vulnerable, no particles, no bubbles, no…
Брутальная архитектура в стиле Moebius
Промт
Brutalist futurist city center, underground subway, sepia and green red, by Anton pieck --ar 16:9 --raw --stylize 150 --v 7
Генерация в нейросети Midjourney → бот @midjorobot
→ Продолжение в комментариях
Механические насекомые
Примеры промтов:
Hyperreal macro photo of a robotic cockroach, oil-stained titanium plates with grime in the grooves, exposed cabling like tendons, tiny camera-lens eyes with subtle reflections, moving through a damp kitchen floor crack with dust and crumbs, wet specular highlights, harsh on-camera flash look, shallow depth of field, unsettling realism --ar 9:16 --v 7
Hyperreal macro wildlife…
Трейлер к несуществующему фильму от Миджорни
Генерация в нейросети Midjourney → бот @midjorobot
🔥102👍29🥴12❤9👾9🤷♂3❤🔥2
Showing the 12 most recent of 20 posts we hold for @midjourney_home. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 264,963 of 1,151,006entries 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.
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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 12 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
ChatGPT, помоги! @GPThelp_ru · 466,845 Telegram ranks this channel #13 of 91 here — alongside 90 others — read 10 August 2026
IT с перцем @hotcodeit · 170,382 Telegram ranks this channel #23 of 77 here — alongside 76 others — read 12 August 2026
AI News | Нейросети @gpt_news · 294,364 Telegram ranks this channel #63 of 87 here — alongside 86 others — read 10 August 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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Midjourney Креативы” (@midjourney_home), 155,254 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/midjourney_home.
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.
