Technology — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 90% 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.
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.
Views and reactions moved apart
On 11 of the 282 posts we watched over 30 days, the view counter climbed while the reaction counter stayed where it was — by more than this channel’s own reactions-per-view rate can account for. That rate, measured on this entry, is 0.0072 reactions per view.
Each interval, as we read it — views and reactions before and after
Expected is the view gain multiplied by this channel’s own prior reactions-per-view rate over the same post — not a corpus average, so a channel whose audience never reacts is compared only against itself. Every interval is credited in the direction that makes the observation harder to record, never easier: t.me renders views and reactions to three significant figures above ~1,000, so a raw delta can be a rendering step. Every delta below is at least 4 x the coarser reading's step, the view gain is discounted by a full step and the reaction gain credited with one. Measured by tgregister velocity.py (our own t.me/s/ readings).
What this does and does not say. It says the two counters moved apart, by more than rounding and more than this channel’s own history predicts. It asserts no cause. Views arriving from outside Telegram, an embedded or forwarded copy of the post, and a burst of readers who simply do not react all produce this shape. This detector has recorded very few observations across the whole register, and its precision has not been measured; treat it as an anomaly worth looking at, not as a finding.
Recorded under the key view_reaction_decoupling, last confirmed 22 September 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.
Growth
34 measurements spanning 43 days, net -40,249. 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 1,146,471–1,198,794 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 00:58
1,152,508
-1,755
15 Sept 2026, 23:59
1,154,263
-1,656
14 Sept 2026, 06:55
1,155,919
-1,469
12 Sept 2026, 15:57
1,157,388
-1,845
10 Sept 2026, 14:56
1,159,233
-2,877
7 Sept 2026, 09:15
1,162,110
-2,571
4 Sept 2026, 11:17
1,164,681
-1,297
3 Sept 2026, 02:14
1,165,978
-1,028
2 Sept 2026, 02:11
1,167,006
-927
1 Sept 2026, 04:26
1,167,933
-1,007
31 Aug 2026, 03:04
1,168,940
-1,039
30 Aug 2026, 01:05
1,169,979
-960
28 Aug 2026, 23:13
1,170,939
-1,001
27 Aug 2026, 20:36
1,171,940
-1,020
26 Aug 2026, 19:44
1,172,960
-959
25 Aug 2026, 20:46
1,173,919
-965
24 Aug 2026, 23:05
1,174,884
-1,597
23 Aug 2026, 12:05
1,176,481
-1,270
22 Aug 2026, 01:58
1,177,751
-1,228
20 Aug 2026, 18:53
1,178,979
first reading
Engagement
487 posts held, back to 5 August 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 97 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.03%
avg views ÷ 1,152,508 subscribers
Avg views / post
34,900
305 posts measured
Reaction rate
0.816%
reactions ÷ views · ER floor
Posts in window
305
of 487 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. It is computed over the 304 of 305 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 22 September 2026
Posts held
487 (5 August 2026 – 22 September 2026)
Views total
10,654,890
Reactions total
86,697
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 05:48 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
Photos
≈13,800
Videos
≈10,200
Links
≈16,900
Lifetime counters from Telegram’s own channel header, read 22 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
5h 13m
Average length
2m 07s
Measured directly from 148 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 282 of this channel’s own posts over the last 30 days: across 271 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 5.6 hours of being posted; a typical post has already reached 27.4% of its 24-hour view count within the first hour, and 65.4% within the first six; the median 24-hour reach across those posts is 27,800 views — 2.41% of this channel’s own subscriber count (90th percentile 32,100).
8 most recently posted, with a view-velocity reading
2.3 hoursprovisional — final view count still climbing
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
150,987 reactions across 485 posts, in 8 distinct kinds. The most used accounts for 26.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
40,467
26.8%
😁
37,715
25.0%
🗿
22,735
15.1%
🤯
12,785
8.47%
🔥
10,843
7.18%
😢
10,822
7.17%
👍
9,379
6.21%
🤔
6,241
4.13%
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 486 of the 487 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 152,580 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 487 most recent posts we hold, published 5 August 2026 to 22 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
147
across the posts below
Posts paid on
85
of 487 we hold a reading for · 17%
Most on one post
6
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @media1337. 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 487 most recent posts we hold for this entry, published 5 August 2026 to 22 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.
Advertising
Ad load
0.205%
1 of 487 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
40,100
over 1 measured post
Median views · rest
36,900
over 486 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VfnxxijsUX
1
20 August 2026
20 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 487 most recent posts we hold, published 5 August 2026 to 22 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Happy Wheels официально вышел в Steam — шедевр детства можно приобрести за 250 рублей.
Всё самое легендарное из 2010 года на месте, а ещё доступны более 5 миллионов пользовательских карт.
Пробуем — здесь.
🌒 1337
Фильм по Resident Evil выйдет в России на неделю раньше.
Премьеру перенесли на 26 сентября, чтобы порадовать фанатов. Ранее кинотеатры открывали продажи билетов на 3 октября.
Напомним, фильм уже произвёл фурор среди критиков и первых зрителей: у него 95% на Rotten Tomatoes, а в сети его называют «лучшим фильмом по игре в истории».
🌒 1337
Grok 4.7 вышел.
Это самый мощный Grok за всю историю.
Что нового:
• большой прогресс относительно Grok 4.6 по всем показателям
• лучше держит длинный контекст
• увереннее работает с кодом и документами
• главное — цена осталась на уровне Grok 4.6
Пробуем — тут.
🌒 1337
Кружки в Telegram перестанут выглядеть как мыло — мессенджер готовит крупный апдейт видеосообщений.
В бете уже нашли несколько изменений:
— 60 FPS вместо 30;
— Разрешение до 480p вместо 360p;
— Битрейт до 2 Мбит/с для более чёткой картинки;
— Новый движок камеры против привычного «мыла»;
— И самое странное - квадратный формат кружков.
🌒 1337
«Злоключения Клиффа Бута» — вышел полноценный трейлер продолжения «Однажды в… Голливуде».
Брэд Питт вернётся к роли Клиффа Бута, а сюжет покажет, что произошло с героем после событий фильма Тарантино.
Премьера — 23 декабря.
🌒 1337
Бесплатная замена CapCut без подписок и водяных знаков — WolfCut.
Это опенсорсный видеоредактор с нарезкой роликов, несколькими дорожками, субтитрами и обработкой звука.
Без регистрации и платных функций. Работает на Windows, macOS и Linux.
Забираем — тут.
🌒 1337
Т-Банк размещает облигации «Кредитный поток 7.0» с рейтингом eAAA (ru.sf). Бумаги обеспечены портфелем потребительских кредитов. Ожидаемая доходность — до 17,79%.
Подать поручение на участие можно до 25 сентября, 15:00 мск, в приложении Т-Инвестиций. Комиссия за участие в первичном размещении — 0%.
Робот избил человека — в Сан-Франциско впервые прошёл бой между человеком и машиной.
Против блогера Фрэнки ЛаПенна вышел 80-килограммовый EngineAI T800 на турнире в стиле «Живой стали» и буквально швырял его по рингу.
Началось.
🌒 1337
Отрывки «Мстителей: Судный день» слили в сеть в отличном качестве — Marvel Studios пока никак не комментирует утечку.
В ближайшее время видео, скорее всего, разлетятся по всему интернету, поэтому случайно словить спойлер станет проще простого.
Официальная премьера фильма запланирована на 18 декабря.
🌒 1337
«Забытый остров» — новый хит DreamWorks, мультфильм получил 100% от критиков на Rotten Tomatoes.
Это лучший результат среди полнометражных мультфильмов студии. Историю о двух подругах, попавших через портал на волшебный остров с существами из филиппинской мифологии, сняли режиссёры «Кота в сапогах 2».
Чтобы вернуться домой, героиням придётся рискнуть собственными воспоминаниями друг о друге.
В кино — с 25 сентября…
🔥107❤21🗿17🤔13
Showing the 12 most recent of 487 posts we hold for @media1337. 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.
Posts edited after publishing
@media1337 edited 9 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
12 August 2026
Most recent edit
19 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 78 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 6 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 8 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 5 | Нейросети | Gemini @gpt_chat · 119,788 Telegram ranks this channel #1 of 39 here — alongside 38 others — read 14 August 2026
Костыль @kostylofficial · 1,295,474 Telegram ranks this channel #1 of 72 here — alongside 71 others — read 12 August 2026
Технотренды @techno_media · 790,765 Telegram ranks this channel #1 of 94 here — alongside 93 others — read 8 August 2026
Дипфейкер: нейросети, IT, технологии @deep_fake_bot_news · 22,954 Telegram ranks this channel #2 of 40 here — alongside 39 others — read 19 September 2026
Bard AI | Нейросети & IT @NeuralToday · 30,447 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 7 September 2026
НА ГРАНИ @nagrani_video · 37,136 Telegram ranks this channel #2 of 67 here — alongside 66 others — read 1 September 2026
AI Insider @ai_ins · 42,069 Telegram ranks this channel #2 of 94 here — alongside 93 others — read 29 August 2026
GPT-4 Community @gpt4_tg · 54,375 Telegram ranks this channel #2 of 90 here — alongside 89 others — read 23 August 2026
GeekNeural @geekneural · 63,099 Telegram ranks this channel #2 of 92 here — alongside 91 others — read 21 August 2026
Фриланс и Удаленная работа | let media @let_media · 64,263 Telegram ranks this channel #2 of 76 here — alongside 75 others — read 21 August 2026
Айтишная @aitshnya · 70,273 Telegram ranks this channel #2 of 93 here — alongside 92 others — read 20 August 2026
Нейролента @neirosety · 30,294 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 7 September 2026
Исходный код @source_code · 33,558 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 4 September 2026
Нейро @neuro_code · 56,268 Telegram ranks this channel #3 of 96 here — alongside 95 others — read 23 August 2026
4PDA Community @pda_4 · 88,433 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 17 August 2026
AI News | Нейросети @gpt_news · 288,626 Telegram ranks this channel #3 of 87 here — alongside 86 others — read 10 August 2026
медиатрендс @mediatrends · 408,451 Telegram ranks this channel #4 of 90 here — alongside 89 others — read 13 September 2026
Нейросеть видит @neuroset_vidit · 128,026 Telegram ranks this channel #4 of 84 here — alongside 83 others — read 28 August 2026
chad @chadgpt_ru · 138,289 Telegram ranks this channel #4 of 94 here — alongside 93 others — read 27 August 2026
КиберХаб - IT и Нейросети @kyberhub · 60,729 Telegram ranks this channel #4 of 88 here — alongside 87 others — read 22 August 2026
PROAI @pro_ai_news · 90,512 Telegram ranks this channel #4 of 92 here — alongside 91 others — read 16 August 2026
Цифровой Журнал | IT, Neiroseti @chatgptv · 1,855,495 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 8 August 2026
GPT | ChatGPT | Midjourney — GPTMain News @GPTMainNews · 1,667,989 Telegram ranks this channel #4 of 62 here — alongside 61 others — read 7 August 2026
Бэкспейс @backspace_media · 47,542 Telegram ranks this channel #5 of 95 here — alongside 94 others — read 25 August 2026
This channel appears in 240 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
6 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
msk.t2.ruregistrable domain: t2.ru1 post · 6 August 2026 – 6 August 2026 · example post
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.
“1337” (@media1337), 1,152,508 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/media1337.
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.
