Marketing & affiliate — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 36% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 12 July 2025 to 13 April 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 3 channels, the one whose matching posts we hold earliest is @notcommunity — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
50 measurements spanning 94 days, net -186. 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 2,043–2,322 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)
Subscribers
Change
9 Nov 2026, 20:44
2,075
-1
9 Nov 2026, 17:56
2,076
-5
6 Nov 2026, 08:37
2,081
no change
6 Nov 2026, 07:45
2,081
-6
3 Nov 2026, 10:54
2,087
no change
3 Nov 2026, 01:37
2,087
-6
31 Oct 2026, 16:31
2,093
-1
31 Oct 2026, 05:21
2,094
-7
28 Oct 2026, 06:54
2,101
no change
28 Oct 2026, 05:58
2,101
-8
24 Oct 2026, 23:30
2,109
no change
24 Oct 2026, 20:10
2,109
-4
22 Oct 2026, 02:49
2,113
-2
21 Oct 2026, 14:49
2,115
-11
18 Oct 2026, 13:18
2,126
no change
18 Oct 2026, 02:17
2,126
-5
15 Oct 2026, 18:26
2,131
-3
15 Oct 2026, 07:36
2,134
-8
13 Oct 2026, 02:16
2,142
-2
12 Oct 2026, 15:19
2,144
first reading
Engagement
20 posts held, back to 12 July 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 2 pages 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 13 April 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
54s
Average length
6s
Measured directly from 9 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
552 reactions across 20 posts, in 21 distinct kinds. The most used accounts for 27.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
154
27.9%
🔥
151
27.4%
👍
110
19.9%
⚡
62
11.2%
custom 5472164874886846699
21
3.80%
custom 5404558404565875143
20
3.62%
🎉
8
1.45%
😐
4
0.725%
💅
3
0.543%
💯
3
0.543%
😁
3
0.543%
✍
2
0.362%
🤔
2
0.362%
🤝
2
0.362%
❤🔥
1
0.181%
🍾
1
0.181%
👀
1
0.181%
👏
1
0.181%
👨💻
1
0.181%
😭
1
0.181%
1 further kind
1
0.181%
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 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 552 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 12 July 2025 to 13 April 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
175
across the posts below
Posts paid on
11
of 20 we hold a reading for · 55%
Most on one post
75
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @notcommunity. 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 12 July 2025 to 13 April 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.
Collab — новая платформа для размещения рекламы в Telegram
Проект получил грант в рамках экосистемы $BUILD. Разработкой занимается независимая команда при поддержке Open Builders
Каждый этап стандартизирован и прозрачен как для рекламодателя, так и для владельцев каналов
Collab использует API Telegram для получения статистики каналов в реальном времени, предоставляя актуальную и достоверную информацию до начала сд…
Проект Glance выпустил новое обновление своей квест-игры, в которой теперь каждое действие приносит $NOT
Награды в игре можно получить за выполнение квестов, холд скинов, а также за приглашение друзей, если они дошли до 6 LVL
Скины играют ключевую роль. Чем выше редкость - тем больше NOT получает пользователь
NOT начисляется автоматически и мгновенно при получении активов или выполнении действий
@notcommunity | c…
Через 10 минут в игру Pixel World запустят новую волну игроков, которые зашли в WL по нашей инвайт-ссылке
Только первые 10% пользователей смогут попасть в бету
@notcommunity | chat for frens
Запуск беты игры Pixel World
Сегодня вечером состоится долгожданный релиз новой игры Pixel World от команды Not Pixel.
Игра представляет собой первый полноценный шутер по аналогии с CS внутри Telegram, в который можно будет играть не только на мобильном устройстве, но и на ПК. Также будет доступна веб версия на официальном сайте
—
Для того чтобы стать ранним участником беты, вам необходимо обладать игровыми айтем…
Пресейл новых игровых лутбоксов в Pixel Market
Сегодня в 12:00 по МСК состоится пресейл новых внутриигровых предметов для игры Pixel World.
Все участники пресейла получают ранний доступ к бета-версии игры PW, официальный запуск которой запланирован на сегодня.
Предыдущий сейл показал отличный результат: все айтемы дали в среднем три икса. Самым профитным оказался AK-69.
Сегодня планирую брать только пистолеты, но…
Pixel World - пресейл боксов с игровыми скинами
В 11:00 по МСК на маркетплейсе Pixel Market состоится пресейл игровых скинов для нового шутера в Telegram от проекта Not Pixel.
Холд айтемов позволит получить ранний доступ к игре Pixel World
Релиз включает три коллекции с ограниченным тиражом, каждая из которых содержит уникальные скины с рандомным выпадением.
— Нож (2000 шт.) - 512 звёзд
— Маска (3000 шт.) - 384 з…
Крафт Telegram подарков
Вчера в закрытом чате TG ELITE Adler Toberg поделился новыми инсайдами о будущей механике мерджа подарков, релиз которой ожидается в ближайшее время.
Ключевые моменты:
1. Крафт подарков будет доступен только для нескольких коллекций с большим саплаем.
Далее возможность объединять подарки будет добавлена и для остальных коллекций.
2. После успешного крафта будут выпадать новые модели подар…
Telegram обновил дизайн своего приложения
С момента релиза новой дизайн-системы от Apple и выхода iOS 26 я искренне надеялся, что команда Telegram не будет использовать ее в своем приложении, так как она противоречит основополагающим принципам дизайна интерфейсов.
К сожалению, после сегодняшнего обновления визуальный облик моего любимого приложения изменился в худшую сторону:
• Теперь все элементы интерфейса состо…
Казино в Telegram
На тестовом сервере Telegram был обнаружен код собственной казино-платформы, которая может быть интегрирована в мессенджер в ближайшее время.
Новость вызвала негодование со стороны сообщества, так как сама идея противоречит интересам пользователей и несёт в себе целенаправленный вред и прямую пропаганду азартных игр.
Ранее, в феврале и мае 2025 года, Telegram провёл масштабную зачистку по блокиро…
Друзья, поздравляю вас с наступающим Новым годом
Уходящий год подарил много ярких событий и возможностей.
Самым ценным для меня стали новые люди, знакомства, друзья, которых удалось встретить и обрести в этом году.
Хотелось бы выразить слова благодарности каждому из вас.
Спасибо, что были рядом и прошли этот путь вместе со мной. Очень ценю вашу поддержку и благодарен за подаренный опыт, эмоции и впечатления, кото…
🔥15❤11👍8⚡2🍾1🎉1custom 54721648748868466991
Showing the 12 most recent of 20 posts we hold for @notcommunity. 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
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
Named by 3 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.
De-Side Crypto @DeSideCrypto · 39,073 Telegram ranks this channel #13 of 71 here — alongside 70 others — read 29 August 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Not Community” (@notcommunity), 2,075 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/notcommunity.
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.
