Other / unclassifiable — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 65% 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
35 measurements spanning 43 days, net -144. 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 12,783–13,881 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
18 Sept 2026, 09:21
13,039
+23
16 Sept 2026, 06:16
13,016
+74
14 Sept 2026, 09:21
12,942
+1
12 Sept 2026, 18:15
12,941
-2
10 Sept 2026, 18:57
12,943
+9
7 Sept 2026, 20:17
12,934
-2
4 Sept 2026, 20:18
12,936
+21
3 Sept 2026, 07:08
12,915
+4
2 Sept 2026, 03:34
12,911
+1
1 Sept 2026, 04:26
12,910
-224
31 Aug 2026, 07:07
13,134
-6
30 Aug 2026, 08:13
13,140
-3
29 Aug 2026, 05:53
13,143
+6
28 Aug 2026, 06:06
13,137
+3
27 Aug 2026, 03:27
13,134
+5
26 Aug 2026, 04:42
13,129
-6
25 Aug 2026, 05:36
13,135
-4
24 Aug 2026, 06:12
13,139
-9
22 Aug 2026, 14:13
13,148
-10
21 Aug 2026, 02:23
13,158
first reading
Engagement
45 posts held, back to 21 July 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 51 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
37.5%
avg views ÷ 13,039 subscribers
Avg views / post
4,890
11 posts measured
Reaction rate
1.20%
reactions ÷ views · ER floor
Posts in window
11
of 45 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
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
45 (21 July 2026 – 2 September 2026)
Views total
53,840
Reactions total
646
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:50 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.
What this channel posts
Video runtime
13m 57s
Average length
40s
Measured directly from 21 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
2,862 reactions across 41 posts, in 40 distinct kinds. The most used accounts for 45.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 6033071931408780688
1,299
45.4%
custom 5886539179256450622
294
10.3%
❤
265
9.26%
😁
235
8.21%
🔥
163
5.70%
😭
72
2.52%
👍
71
2.48%
🎉
54
1.89%
💯
46
1.61%
😱
42
1.47%
🤡
40
1.40%
🌚
38
1.33%
👏
31
1.08%
💔
31
1.08%
💊
26
0.908%
🥰
26
0.908%
🤣
24
0.839%
😍
13
0.454%
🤝
9
0.314%
👀
8
0.28%
20 further kinds
75
2.62%
Custom emoji. 2 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 45 of the 45 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 3,215 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 21 July 2026 to 2 September 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
338
across the posts below
Posts paid on
26
of 45 we hold a reading for · 58%
Most on one post
290
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @olya_tashit. 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 45 most recent posts we hold for this entry, published 21 July 2026 to 2 September 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.
Не могу говорить, я на Venice Immersive.
Народу по сравнению с прошлым годом негусто, но это наверное потому что сегодня будний день.
В кулуарах шепчутся про закрытие метаверс платформы EngageXR - это очень печальная новость, у нее было много преимуществ.
Например, потрясающая фича 3D записи.
Концерт Fatboy Slim в энгейдже опять же был лучшим виртуальным концертом который я видела - без компромиссов.
Программа пр…
новая перспективная профессия - обучать роботов сексом трахаться.
не шутка, реальная вакансия.
(жаль что в требованиях "no virgins", ставь 😭 если ты тоже в пролете)
Выступают ли в виаре известные артисты из офлайна?
Очень редко.
Я спросила у ребят из сообщества RABITSA, которые делают уже второй рейв с крутыми офлайн диджеями, как вообще это происходит.
Вот что они сказали:
Большинство артистов, которым мы предлагаем выступить в VRChat, либо заинтересованы в коммерческой стороне, либо не воспринимают VRChat всерьёз.
У многих нет понимания, что здесь происходит.
Или их понима…
Людей начали загонять в офисы с удаленки, когда выяснилось, что работа офлайн в окружении коллег эффективнее.
Но что делать солопренерам ИИ ферст убыточных B2B SaaS стартапов?
Чел на видео с помощью виар очков дал своему ИИ агенту тело.
Теперь общается с ним как с живым сотрудником.
Пьет с ним, небось, на корпоративах.
А может и харассит - ИИ HR департамента ж у него нету 😐
Так вот для чего нужны эти смартфоны-книжки...
Процесс перелистывания выглядит оч кайфово.
На видео - корейское приложение Naver Series с комиксами, для тех кто любит 💩
Для остальных есть Moon Reader, хоть там и не настолько реалистичная анимация.
При этом я все равно чаще всего пользуюсь своим столетним ч/б киндлом, а бумажные книги в руки не брала уже очень давно.
А вы на чем читаете?
Продолжаю обозревать миры Виарчата, которые отобрали в этом году на Venice Immersive.
1. Come Home - симпатичный лабиринт из кубиков, где ты типа как проснулся и ищешь выход. Перед тобой всплывают философские надписи про поиск дома, который ты вот-вот найдешь.
Тут использован нарративный прием, который мне страшно не нравится - неоправданное НАГНЕТАНИЕ.
Всю дорогу тебе намекают, что в конце ждет что-то ВАУ, но пол…
Ребята снова организуют виртуальный фестиваль (и реальный параллельно).
Каждый год это что-то очень клевое - с лекциями, перформансами, и экскурсиями, поэтому советую сходить.
Виртуальная часть пойдет в Виарчате в субботу и воскресенье.
Все детали и программа тут 👇👇👇
https://t.me/flipsidesgoingon/132
Снова у меня др и снова метаверс не триллионная индустрия!
Пора бы им уже поднапрячься, а то умру от старости, так и не побывав богатой 😠
Метаверсных проектов за год было поменьше, зато я вкатилась в геймдев (катиться пришлось недалеко, как вы понимаете).
В этом канале по-прежнему ни одного слова не написано нейронкой - только теплый ламповый мясной аутизм!
На его поддержку в этот чудный день, кстати, можно засла…
❤61🎉45🥰18custom 60330719314087806888💋2🔥2😢2👍1
Showing the 12 most recent of 45 posts we hold for @olya_tashit. 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
Named by 8 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.
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.
Нейроскептик @neuroskep · 29,484 Telegram ranks this channel #9 of 90 here — alongside 89 others — read 8 September 2026
Метаверсище и ИИще @cgevent · 52,361 Telegram ranks this channel #10 of 92 here — alongside 91 others — read 25 August 2026
TechSparks @techsparks · 46,533 Telegram ranks this channel #12 of 97 here — alongside 96 others — read 27 August 2026
Neural Shit @NeuralShit · 53,680 Telegram ranks this channel #18 of 92 here — alongside 91 others — read 24 August 2026
Малоизвестное интересное @theworldisnoteasy · 74,000 Telegram ranks this channel #20 of 94 here — alongside 93 others — read 19 August 2026
Tips AI | IT & AI @tips_ai · 25,376 Telegram ranks this channel #32 of 95 here — alongside 94 others — read 14 September 2026
Силиконовый Мешок @prompt_design · 85,555 Telegram ranks this channel #34 of 96 here — alongside 95 others — read 18 August 2026
Denis Sexy IT 🤖 @denissexy · 137,325 Telegram ranks this channel #37 of 95 here — alongside 94 others — read 13 August 2026
Ряды Фурье @Fourier_series · 42,189 Telegram ranks this channel #46 of 93 here — alongside 92 others — read 29 August 2026
НейроProfit | Соня Pro Ai @NeuralProfit · 23,400 Telegram ranks this channel #50 of 96 here — alongside 95 others — read 18 September 2026
Ai molodca @strangedalle · 46,858 Telegram ranks this channel #50 of 94 here — alongside 93 others — read 27 August 2026
Промпты для нейросетей @prompty · 30,029 Telegram ranks this channel #59 of 89 here — alongside 88 others — read 7 September 2026
e/acc @cryptoEssay · 62,598 Telegram ranks this channel #60 of 96 here — alongside 95 others — read 21 August 2026
Sber AI @SberAIScience · 27,320 Telegram ranks this channel #70 of 95 here — alongside 94 others — read 10 September 2026
эйай ньюз @ai_newz · 96,889 Telegram ranks this channel #72 of 94 here — alongside 93 others — read 16 August 2026
This channel appears in 15 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.
“Метаверсошная” (@olya_tashit), 13,039 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/olya_tashit.
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.