Art & design — 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 27 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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
6 measurements spanning 35 days, net +6. 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 94–104 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 18:38
101
-2
28 Aug 2026, 02:49
103
+2
20 Aug 2026, 20:45
101
+5
14 Aug 2026, 20:37
96
+1
9 Aug 2026, 12:32
95
no change
7 Aug 2026, 11:18
95
first reading
Engagement
9 posts held, back to 23 April 2026 — 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 9 posts for this entry, the most recent from 31 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 15s
Average length
27s
Measured directly from 5 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
217 reactions across 9 posts, in 10 distinct kinds. The most used accounts for 44.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
96
44.2%
⚡
33
15.2%
custom 5217466996337165348
25
11.5%
😍
23
10.6%
custom 5427232022252764138
13
5.99%
custom 5422538735394766352
8
3.69%
🕊
8
3.69%
👻
5
2.30%
👾
5
2.30%
💅
1
0.461%
Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 9 of the 9 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 217 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 23 April 2026 to 31 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 9 we hold a reading for · 11%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aj_custom. 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 9 most recent posts we hold for this entry, published 23 April 2026 to 31 July 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.
поделюсь, что ли, новостями)
я наездилась с друзьями и к друзьям, пару раз уже побывала на море, чуток в горах ну и по мелочи где-то) короче, хороша жизнь на юге! 🌲
рисовать успевала, но пока работы неотфотканные гуляют 😢
а пока решила поделиться процессом росписи оконных откосов (или как их там). это первый опыт, а все потому, что теперь я живу в своей квартире! и могу рисовать где угодно и что захочу (просто ремо…
короче разрисовала гитару, но мне совсем не нравится(( в момент, когда это поняла, уже слишком поздно было что-то менять, да и мотивации не было. но раз сделала, покажу, просто хочу поделиться историей.
💡идея для росписи была такая… это моя первая собственная гитара. когда я поняла, что хочу больше посвятить себя игре на этом инструменте, встал вопрос о покупке своей, но денег на нее не было. я, как порядошная хрис…
💖💖💖🤍🤍🤍💖🤍
ну не галстук же рисовать)
пример, когда старая вещь обрела новую жизнь. рубашка долго лежала никому не нужная. я по-быстрому сообразила ей бабочку и вот уже какая-то заявочка на нарядность появилась 🤠
кучу комплиментов собрала!
так что рада, что вещь поживет еще. и уже, кстати, не у меня 🤗
раз в год и палка настя пост выкладывает…
такая вот дерзкая зипочка получилась 💅
картинку скатали с пинтереста, уж очень подошла она по вайбу заказчице) ну и немного украсили узорами, но в рамках минимализма!!☝️(иначе меня бы этим кинжалом..)
😀😀😀😀
СДВГшник говорит СДВГшнику: «хочу футболку в СДВГшном стиле» 🙂
да, многовато сдвг в одном предложении, но и нас немало ахах
заказчик предложил новую расшифровку этой аббревиатуры, ее и записали на футболке)
этот человек не мог спокойно постоять и пары минут, чтобы я пофоткала работу и в этой гиперактивности вся суть дизайна 😊
каждый рисунок связан с ним: какие-то «самипосебейчики» — просто факты, а некоторые …
Выступил на выставке «Композит Экспо» на стенде Росатома 🚀Играл на карбоновой гитаре) Клевые впечатления, куча интересных людей и даже фирменный мерч подарили)
Отдельное спасибо Федору за приглашение и крутой прием 🔥
нет, у меня не закончилась одежда для кастома, просто фоток ещё нет 💔
а пока взялась за свою старенькую укулеле. вообще, хочу, так сказать, объединить два своих любимых увлечения — музыка и рисование. поэтому планирую больше кастомить музыкальные инструменты! 🎶
начала с малого, на очереди гитарка 🎸
Showing the 9 most recent of 9 posts we hold for @aj_custom. 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.
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
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“роспись одежды. anajohn_custom” (@aj_custom), 101 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/aj_custom.
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.