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 99% 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 forms a group of 2 channels linked by matching posts. 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 758 comparable posts for this entry, running 4 August 2026 to 10 November 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 2 channels, the one whose matching posts we hold earliest is @techno_media — 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 2 registered channels linked by matching posts. 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.
65 measurements spanning 97 days, net +104,799. 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 754,187–961,163 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
11 Nov 2026, 01:38
928,461
+3,640
9 Nov 2026, 08:01
924,821
+2,770
7 Nov 2026, 22:01
922,051
+717
6 Nov 2026, 18:37
921,334
+333
5 Nov 2026, 22:06
921,001
-936
4 Nov 2026, 20:31
921,937
-947
3 Nov 2026, 16:47
922,884
-586
2 Nov 2026, 14:59
923,470
-1,421
1 Nov 2026, 11:25
924,891
-1,055
31 Oct 2026, 10:05
925,946
-870
30 Oct 2026, 11:15
926,816
-1,535
29 Oct 2026, 09:46
928,351
-1,523
28 Oct 2026, 06:54
929,874
-1,611
27 Oct 2026, 07:25
931,485
-1,379
26 Oct 2026, 09:27
932,864
-1,351
25 Oct 2026, 11:25
934,215
-1,673
24 Oct 2026, 11:00
935,888
-1,393
23 Oct 2026, 08:55
937,281
+2,596
22 Oct 2026, 09:27
934,685
+7,879
21 Oct 2026, 04:30
926,806
first reading
Engagement
809 posts held, back to 4 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 197 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.97%
avg views ÷ 928,461 subscribers
Avg views / post
18,300
225 posts measured
Reaction rate
0.496%
reactions ÷ views · ER floor
Posts in window
225
of 809 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 10 November 2026
Posts held
809 (4 August 2026 – 10 November 2026)
Views total
4,125,690
Reactions total
20,467
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 02:37 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
≈9,670
Videos
≈4,140
Links
≈12,100
Lifetime counters from Telegram’s own channel header, read 11 November 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 30m
Average length
1m 15s
Measured directly from 263 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.
4 most recently posted, with a view-velocity reading
3.0 hours: 11,600 → 6.0 hours: 14,600still climbing at last reading
not yet at 24h
67 minutesupper bound — already past half at first reading · provisional — 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
78,748 reactions across 806 posts, in 6 distinct kinds. The most used accounts for 36.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
28,582
36.3%
😁
16,110
20.5%
🗿
12,520
15.9%
🤯
10,047
12.8%
😢
7,419
9.42%
🤔
4,070
5.17%
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 809 of the 809 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 79,706 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 809 most recent posts we hold, published 4 August 2026 to 10 November 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
48
across the posts below
Posts paid on
37
of 809 we hold a reading for · 5%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @techno_media. 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 809 most recent posts we hold for this entry, published 4 August 2026 to 10 November 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
0.124%
1 of 809 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
11,700
over 1 measured post
Median views · rest
13,100
over 808 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
2W5zFJeSJN5
1
12 October 2026
12 October 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 809 most recent posts we hold, published 4 August 2026 to 10 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 8 of 225 posts held from the last 30 days (3.56%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Превращаем Claude Code в МЕГАРЕПЕТИТОРА — Jane Street выпустила бесплатный скилл, который превращает ИИ-агента в цифрового Сократа.
Как это работает:
— Сначала ИИ проверяет ваши знания и составляет карту прогресса;
— Затем задаёт наводящие вопросы, но не выдаёт готовые ответы;
— Не захваливает за каждый шаг, а помогает самостоятельно разобраться в теме;
— В конце проводит экзамен, чтобы закрепить материал.
Забирае…
Вышел главный КОНКУРЕНТ GTA 6 на игру десятилетия — это легендарная Shrek 2 Remastered.
Игра из 2004 года вернулась с обновлённой графикой в 4К, качественными катсценами и кооперативом на четверых по сети.
Успех GTA под вопросом.
📲 Технотренды
Хорошие новости: Яндексу удалось восстановить доступ к 97,16% клиентской информации.
Ещё 2,84% данных оказались безвозвратно утеряны из-за критичных повреждений оборудования. При этом пользователи, которые заранее настроили бэкапы, сохранили все 100% данных.
В ответ на произошедшее Яндекс изменил подход к бэкапам: теперь для новых виртуальных машин в Yandex Cloud копирование активируется автоматически. Отключить фу…
🏍Google УБИЛА конкурентов — Gemini 4 Carbon стала доступна. Компания дропнула настоящего монстра, который превосходит конкурентов по большинству бенчей.
Вспоминаем все фичи:
— Моделька заняла первое место в Artificial Analysis V5 и сильно качнулась в кодинге, кибербезопасности и работе с длинными, многосоставными задачами.
— Она набрала 71% на CWE-bench, 65% на Terminal-Bench 4.0 и 96% на GraphWalks при работе с ко…
⚡️Показали НОВЫЙ большой трейлер GTA VI — появились и подробности о производительности игры.
Предварительно, на всех консолях игра будет работать при 30 FPS. Также её можно будет запускать через Xbox Cloud Gaming, причем даже на старенькой Xbox One. А вот поддержки облачного гейминга на ПК не будет.
Релиз намечен на 19 ноября. Ждем с нетерпением.
📲 Технотренды
Яблочники рискуют ПОТЕРЯТЬ КРИПТУ из-за уязвимости iOS — в Binance предупредили об опасном обходе защиты системы.
Проблему назвали worse_query, а затрагивает она iOS 26.7.1, 27.0.1 и 27.2. Она помогает вирусам читать файлы других программ, включая данные криптокошельков. Под угрозой могут оказаться seed-фразы, приватные ключи и пароли.
Биржа советует удалять программы из ненадёжных источников и обновить систему и п…
🏍️Минцифры хочет ОТКЛЮЧИТЬ российские сайты ради белых списков — власти предлагают резервировать 10% мощностей дата-центров для «форс-мажоров», чтобы поддерживать сервисы из реестра.
Поддерживаться будет такси, доставки, маркетплейсы, Госуслуги, соцсети и другие сервисы из белых списков. Однако если свободного ресурса у дата-центра не окажется, дата-центры могут принудить отключить некоторых клиентов в течение суток…
🏍 Anthropic выпустила Fable 5.2 и Mythos 5.2 — модели уже могут сами решать НАУЧНЫЕ задачи, создавать электронику и даже писать операционные системы с нуля.
Самое крутое:
— Модели создали собственную операционную систему — получилась рабочая ОС, загружающаяся на настоящем ноутбуке, с окнами, драйверами, файловой системой и установщиком.
— Они решили две открытые проблемы физики чёрных дыр.
— За 30 часов формализова…
1,4 млн спрайтов ПИКСЕЛЬ-арта для игр собрали в одном месте — их можно БЕСПЛАТНО использовать в своих проектах.
В коллекции Pixel Art Atlas есть куча изображений размером 16×16 пикселей с прозрачным фоном и текстовыми описаниями на английском.
Внутри больше 6 тысяч разных объектов: персонажи, монстры, оружие, предметы интерьера, еда и многое другое.
Забираем годноту — здесь.
📲 Технотренды
Дрозофилу заставили 31 час без перерыва смотреть КУРСЫ по C++ — в итоге насекомое превратили в ультимативного кодера.
Она полностью познала индийский акцент.
📲 Технотренды
В Телеграм могут добавить видеосообщения в форме СЕРДЕЧЕК и котиков — команда мессенджера показала концепт новых кружочков, форма которых может быть абсолютно разной.
Это будет самая добрая обнова.
📲 Технотренды
❤130😢13😁9🗿8🤯3
Showing the 12 most recent of 809 posts we hold for @techno_media. 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.
Posts edited after publishing
@techno_media edited 3 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
14 October 2026
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 27 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
1337 @media1337 · 1,103,517 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 8 August 2026
PulseGPT | Новости, нейросети, гайды @Pulse_GPT · 44,000 Telegram ranks this channel #3 of 73 here — alongside 72 others — read 27 August 2026
Костыль @kostylofficial · 1,295,426 Telegram ranks this channel #3 of 72 here — alongside 71 others — read 12 August 2026
IT с перцем @hotcodeit · 151,080 Telegram ranks this channel #3 of 77 here — alongside 76 others — read 12 August 2026
POINT | Нейросети @gptpublic · 258,754 Telegram ranks this channel #3 of 90 here — alongside 89 others — read 10 August 2026
ChatGPT 5 | Нейросети | Gemini @gpt_chat · 118,539 Telegram ranks this channel #4 of 39 here — alongside 38 others — read 14 August 2026
let media @let_media · 61,212 Telegram ranks this channel #5 of 76 here — alongside 75 others — read 21 August 2026
4PDA Community @pda_4 · 87,856 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 17 August 2026
TechGPT [🅽 🅴 🆆 🆂] 🤖 @TechGPTNews · 262,192 Telegram ranks this channel #5 of 60 here — alongside 59 others — read 10 August 2026
Chad GPT | Нейросети @AI_Chad · 20,652 Telegram ranks this channel #6 of 79 here — alongside 78 others — read 24 September 2026
GPT-4 Community @gpt4_tg · 52,619 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 23 August 2026
GeekNeural @geekneural · 61,241 Telegram ranks this channel #6 of 92 here — alongside 91 others — read 21 August 2026
Айтишная @aitshnya · 68,381 Telegram ranks this channel #6 of 93 here — alongside 92 others — read 20 August 2026
Нейросети & Технологии | DeepTech @DeepTechNET · 281,478 Telegram ranks this channel #6 of 62 here — alongside 61 others — read 10 August 2026
ChatGPT 4.0 & [🅼🅹] | Bot News @ChatGPT_BotNews · 265,214 Telegram ranks this channel #6 of 72 here — alongside 71 others — read 10 August 2026
медиатрендс @mediatrends · 590,146 Telegram ranks this channel #7 of 90 here — alongside 89 others — read 13 September 2026
chad @chadgpt_ru · 143,625 Telegram ranks this channel #7 of 94 here — alongside 93 others — read 27 August 2026
Бэкспейс & Нейролента @neirosety · 31 Telegram ranks this channel #8 of 87 here — alongside 86 others — read 7 September 2026
PRO | Нейросети @pro_neiroset · 31,337 Telegram ranks this channel #8 of 86 here — alongside 85 others — read 5 September 2026
Бэкспейс & Нейролента @backspace_media · 30 Telegram ranks this channel #8 of 95 here — alongside 94 others — read 25 August 2026
PROAI @pro_ai_news · 87,352 Telegram ranks this channel #8 of 92 here — alongside 91 others — read 16 August 2026
AI News | Нейросети @gpt_news · 283,225 Telegram ranks this channel #8 of 87 here — alongside 86 others — read 10 August 2026
Hi, AI • Новости технологий @hiaimedia · 2,672,297 Telegram ranks this channel #8 of 81 here — alongside 80 others — read 8 August 2026
GPT | ChatGPT | Midjourney — GPTMain News @GPTMainNews · 1,567,562 Telegram ranks this channel #8 of 62 here — alongside 61 others — read 7 August 2026
This channel appears in 108 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
8 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.
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Технотренды” (@techno_media), 928,461 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/techno_media.
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.
