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 why it has no browse page of its own yet.
Growth
31 measurements spanning 35 days, net -22,642. 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 797,624–827,058 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
9 Sept 2026, 23:39
801,020
-2,524
6 Sept 2026, 16:57
803,544
-1,932
4 Sept 2026, 04:19
805,476
-990
2 Sept 2026, 19:16
806,466
-758
1 Sept 2026, 20:16
807,224
-962
31 Aug 2026, 17:06
808,186
-753
30 Aug 2026, 18:55
808,939
-800
29 Aug 2026, 19:14
809,739
-1,036
28 Aug 2026, 17:38
810,775
-823
27 Aug 2026, 20:18
811,598
-954
26 Aug 2026, 21:34
812,552
-995
25 Aug 2026, 22:36
813,547
-1,174
24 Aug 2026, 22:34
814,721
-1,629
23 Aug 2026, 08:13
816,350
-1,353
21 Aug 2026, 20:34
817,703
-1,079
20 Aug 2026, 17:42
818,782
-828
19 Aug 2026, 16:34
819,610
-796
18 Aug 2026, 17:04
820,406
-488
17 Aug 2026, 20:15
820,894
+3,803
16 Aug 2026, 16:18
817,091
first reading
Engagement
334 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 76 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.39%
avg views ÷ 801,020 subscribers
Avg views / post
11,100
266 posts measured
Reaction rate
0.727%
reactions ÷ views · ER floor
Posts in window
266
of 334 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 11 September 2026
Posts held
334 (4 August 2026 – 11 September 2026)
Views total
2,960,070
Reactions total
21,512
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Sept 2026, 14:56 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
≈9,250
Videos
≈3,950
Links
≈11,600
Lifetime counters from Telegram’s own channel header, read 11 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
1h 27m
Average length
54s
Measured directly from 97 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
38,284 reactions across 331 posts, in 6 distinct kinds. The most used accounts for 31.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
11,921
31.1%
😁
8,636
22.6%
🤯
5,898
15.4%
🗿
5,540
14.5%
😢
3,713
9.70%
🤔
2,576
6.73%
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 334 of the 334 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 39,242 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 334 most recent posts we hold, published 4 August 2026 to 11 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
18
across the posts below
Posts paid on
14
of 334 we hold a reading for · 4%
Most on one post
4
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 334 most recent posts we hold for this entry, published 4 August 2026 to 11 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.
У россиян воруют БОЛЬШЕ ВСЕГО данных — Россия заняла первое место в мире по утечкам данных пользователей за 2025 год.
Информация о клиентах крупных компаний попадала в сеть почти 3️⃣2️⃣6️⃣ раз. Это вдвое больше, чем даже на Ближнем Востоке или в Африке, пишут специалисты инфобеза.
Что делаем: в первую очередь проверяем свои данные на утечку. Для этого есть сервисы:
1️⃣Have I been Pwned — проверяет сливы по адресу …
⚡️Пользователям из России ЗАБЛОЧИЛИ Cursor — со всей страны идут жалобы, что платформа не открывается.
У некоторых доступа отсутствует с 4 сентября — это единичные случаи. Перед блоком в пользовательское соглашение Cursor добавили пункт об экспортном контроле США: регион под санкциями — сервис там не работает.
Оживить тулзу не помогает даже смена IP-адреса: разрабы проверяют историю подключений и мониторят геолокац…
⚡️Мошенники СКАМЯТ россиян через GTA 6 — бедолаги массово скачивают игру, а внутри только трояны, которые воруют пароли.
🕤По сети гуляет якобы «слитая GTA 6» с русским установщиком и неким содержимым.
🕤Сразу после установки игра не запускается из-за некой ошибки с лицензией.
🕤В системе в это время появляется целая куча вирусов и троянов.
🕤В том числе опаснейшие njRAT и DCRAT, которые напрямую дают удалённый доступ к…
SMMщики, забираем ИМБУ — автоматизируем SEO, GEO и управление рекламными кампаниями всего ОДНИМ набором скиллов.
В NotFair собрали ВСЕ необходимые навыки для маркетинга. Что умеет:
🕤Делать аудит сайтов, оптимизировать кампании, проводить комплексный анализ SEO и многое другое;
🕤Работает с Google Search Console, Google Ads, X Ads, LinkedIn Ads и другими популярными сервисами;
🕤Скилл можно отдать Claude Code, Cursor,…
Сбер представил GigaChat 3.5 Reasoning — флагманскую модель с режимом рассуждений
Новая версия умеет последовательно решать сложные задачи. Сначала разбирает их на этапы и выстраивает план. Затем проверяет промежуточные результаты и исправляет ошибки.
Ещё одна особенность релиза — экономный расход токенов. В среднем на математические расчёты здесь используется на 37% меньше токенов, чем у открытой ИИ-модели DeepSee…
В России официально ЗАПУСТИЛИ 5G — новый стандарт связи уже доступен в 16 городах, где живут около 10 млн человек.
В Москве, Петербурге и Екатеринбурге 5G уже запустили все крупные операторы
В ближайшее время заветный значок 5G может появиться на Android-смартфонах, а владельцам айфонов придётся ждать решения Apple.
📲 Технотренды
Гигантскую модель на 35b параметров теперь можно запустить на АЙФОНЕ — вышел опенсорсный движок Edge0.
Он позволяет крутить локальные нейронки с архитектурой MoE без нагрузки на оперативку — в пике используются всего 1-2,5 ГБ. Секрет оптимизации следующий: вместо RAM используется флеш-память айфона.
Есть модели на 8B и 35B — для последней нужен будет iPhone 15 Pro и новее. Код забираем на GitHub.
📲 Технотренды
Превращаем мимику в звонке в МЕМЫ — девушка показала классное расширение для Google Meet.
Нейронка следит за выражением лица и в реальном времени подбирает подходящую мемную реакцию.
Забрать можно — здесь.
📲 Технотренды
Игра про «Росомаху» оказалась ПРОВАЛЬНОЙ — критики прохладно встретили очередной эксклюзив Sony с однокнопочным геймплеем и стелсом в траве.
Игра получила 77 баллов на Metacritic — самую низкую оценку среди всех проектов по Marvel в истории Insomniac Games. Критикуют утомительный и однообразный геймплей и сюжет.
Формула больше не работает.
📲 Технотренды
Муха теперь умеет... пить ПИВО — энтузиасты научили отсканированный мозг дрозофилы чокаться при виде пенного.
До этого бедолагу уже заставили играть в DOOM и Beat Saber, кататься на скейте и смотреть клип Bad Apple! на своем мозге.
📲 Технотренды
Пиво, сало и консервы оказались не такими ВРЕДНЫМИ — диетолог рассказала, какие продукты с плохой репутацией могут вписываться в обычный рацион.
🕤сало содержит жирные кислоты и селен
🕤безалкогольное пиво — некоторые витамины группы B и минералы
🕤рыбные консервы дают белок и омега-3, а рыба с мягкими костями — ещё и кальций
🕤консервированная фасоль содержит растительный белок и клетчатку
🕤безалкогольное красное вино …
❤20🤔6😁2😢1
Showing the 12 most recent of 334 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 1 post 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
12 August 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 24 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 · 1,159,233 Telegram ranks this channel #1 of 93 here — alongside 92 others — read 8 August 2026
PulseGPT | Новости, нейросети, гайды @Pulse_GPT · 45,541 Telegram ranks this channel #3 of 73 here — alongside 72 others — read 27 August 2026
Костыль @kostylofficial · 1,279,646 Telegram ranks this channel #3 of 72 here — alongside 71 others — read 12 August 2026
IT с перцем @hotcodeit · 162,519 Telegram ranks this channel #3 of 77 here — alongside 76 others — read 12 August 2026
ChatGPT | Нейросети @gptpublic · 270,550 Telegram ranks this channel #3 of 90 here — alongside 89 others — read 10 August 2026
ChatGPT 5 | Нейросети | Gemini @gpt_chat · 119,235 Telegram ranks this channel #4 of 39 here — alongside 38 others — read 14 August 2026
Культ Трендов | let media @let_media · 64,888 Telegram ranks this channel #5 of 76 here — alongside 75 others — read 21 August 2026
4PDA Community @pda_4 · 88,554 Telegram ranks this channel #5 of 87 here — alongside 86 others — read 17 August 2026
TechGPT [🅽 🅴 🆆 🆂] 🤖 @TechGPTNews · 274,843 Telegram ranks this channel #5 of 60 here — alongside 59 others — read 10 August 2026
GPT-4 Community @gpt4_tg · 54,640 Telegram ranks this channel #6 of 90 here — alongside 89 others — read 23 August 2026
GeekNeural @geekneural · 63,361 Telegram ranks this channel #6 of 92 here — alongside 91 others — read 21 August 2026
Айтишная @aitshnya · 70,641 Telegram ranks this channel #6 of 93 here — alongside 92 others — read 20 August 2026
Нейросети & Технологии | DeepTech @DeepTechNET · 293,863 Telegram ranks this channel #6 of 62 here — alongside 61 others — read 10 August 2026
ChatGPT 4.0 & [🅼🅹] | Bot News @ChatGPT_BotNews · 300,635 Telegram ranks this channel #6 of 72 here — alongside 71 others — read 10 August 2026
chad @chadgpt_ru · 136,840 Telegram ranks this channel #7 of 94 here — alongside 93 others — read 27 August 2026
Нейролента @neirosety · 30,432 Telegram ranks this channel #8 of 87 here — alongside 86 others — read 7 September 2026
PRO | Нейросети @pro_neiroset · 31,941 Telegram ranks this channel #8 of 86 here — alongside 85 others — read 5 September 2026
Бэкспейс @backspace_media · 48,353 Telegram ranks this channel #8 of 95 here — alongside 94 others — read 25 August 2026
PROAI @pro_ai_news · 91,254 Telegram ranks this channel #8 of 92 here — alongside 91 others — read 16 August 2026
AI News | Нейросети @gpt_news · 289,223 Telegram ranks this channel #8 of 87 here — alongside 86 others — read 10 August 2026
Hi, AI • Новости технологий @hiaimedia · 2,560,532 Telegram ranks this channel #8 of 81 here — alongside 80 others — read 8 August 2026
GPT | ChatGPT | Midjourney — GPTMain News @GPTMainNews · 1,686,964 Telegram ranks this channel #8 of 62 here — alongside 61 others — read 7 August 2026
AI и точка. @ai4telegram · 891,577 Telegram ranks this channel #9 of 73 here — alongside 72 others — read 8 August 2026
Исходный код @source_code · 33,630 Telegram ranks this channel #10 of 93 here — alongside 92 others — read 4 September 2026
This channel appears in 83 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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Технотренды” (@techno_media), 801,020 subscribers as measured 9 September 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.
