Topic
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 22 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
Engagement
7 posts held, back to 14 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 29.3%
- avg views ÷ 147,561 subscribers
- Avg views / post
- 43,300
- 7 posts measured
- Reaction rate
- 9.98%
- reactions ÷ views · ER floor
- Posts in window
- 7
- of 7 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.
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
- ≈1,080
- Videos
- ≈9
- Links
- ≈11
Lifetime counters from Telegram’s own channel header, read 22 August 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
- 47s
- Average length
- 24s
Measured directly from 2 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
30,231 reactions across 7 posts, in 21 distinct kinds. The most used accounts for 35.1% of them.
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 7 of the 7 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 30,231reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 14 August 2026 to 21 August 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.
Recent posts
21 Aug 2026, 15:20 UTC≈25,200 views3,270 reactionsread 22 August 2026 Video
📸 У Алисы AI есть функция, которую я бы реально использовала не только в работе, но и в обычной жизни.
Смысл простой: не пытаться долго описывать словами, что именно перед тобой, а просто загрузить фотографию и задать вопрос.
Например, увидела ноутбук и спрашиваю:
«Алиса, скажи, что это за модель ноутбука и расскажи о его технических характеристиках. Он подойдёт для работы с графическими программами?»
И дальше AI…
❤1,630🔥519👍301🎉266🤩207🙏139⚡80✍49
21 Aug 2026, 13:25 UTC≈26,300 views2,608 reactionsread 22 August 2026 Photo
🛡 AI ТЕПЕРЬ НЕ ПРОСТО ПИШЕТ КОД — ОН ИЩЕТ, ГДЕ ВЫ ЕГО СЛОМАЛИ
Пока компании радуются:
«Смотрите, AI написал нам код за 30 секунд!»
кибербезопасность тихо спрашивает:
«А теперь можно мы проверим, ЧТО именно он вам там написал?» 😂
Китайский AI-стартап Z.ai представил GLM-5.3 — модель, которая показывает серьёзные возможности в поиске программных уязвимостей.
По данным самой Z.ai, GLM-5.3 набрала 84,5% на CyberGym —…
🔥1,300🤩422🎉302❤215👍129🙏91🫡68⚡37
20 Aug 2026, 12:27 UTC≈36,000 views3,330 reactionsread 22 August 2026 Video
Говорят, лучшие мемы рождаются сами собой. Похоже, это именно тот случай. В сети стремительно разлетается ролик, который придумали футбольные фанаты: вся страна худеет на ТИРЗЕТТЕ и синхронно «гребет» к своей цели.
❤1,640🤩621🔥325👍220🎉201🤪114✍90🏆52
20 Aug 2026, 06:26 UTC≈37,600 views3,975 reactionsread 22 August 2026 Photo
🤖 $1,1 МЛРД НА СОТРУДНИКОВ, КОТОРЫМ НЕ НУЖНЫ ЗАРПЛАТА И ОТПУСК
Похоже, инвесторы больше не хотят вкладывать просто в «умные чат-боты».
Теперь деньги идут в AI-сотрудников, которые реально работают. 😳
Стартап River AI, созданный сооснователем xAI, объявил о привлечении $1,1 млрд на развитие кастомных AI-инструментов и агентов для бизнеса.
И ключевое слово здесь — кастомных.
Это не очередной бот:
— Напиши пост.
— П…
🔥1,920👍699🎉459❤245🤩238👨💻163🙏103🫡83
15 Aug 2026, 15:39 UTC≈58,500 views5,446 reactionsread 22 August 2026 Photo
💥 AI / Business News
🤖 DeepSeek, которая прославилась дешёвым AI, решила напомнить: хорошее дешёвым бывает не всегда.
13 августа компания официально выпустила V4 Pro — более мощную версию с улучшенными агентными возможностями и reasoning.
И самое интересное здесь даже не новая модель.
А цена.
На старте V4 Pro оказалась примерно в 9 раз дороже V4 Flash по входным токенам и до 14 раз — по выходным.
Для компании, к…
🎉2,740🔥886❤649👍429🤩284🤓164🤝131👏74
15 Aug 2026, 13:17 UTC≈59,500 views6,001 reactionsread 22 August 2026 Photo
💥 Business News
🤖 Пока одни продолжают спорить, не пузырь ли AI, другие уже не успевают построить достаточно серверов.
12 августа рынок устроил небольшую демонстрацию того, где сейчас лежат большие ожидания инвесторов.
CoreWeave в моменте прибавляла больше 19%. Super Micro — больше 13%. Nebius — больше 20%.
Но интереснее здесь не зелёные цифры на графике.
А причина.
У CoreWeave портфель будущих заказов вырос до $10…
🔥2,880👍1,130❤688🤩433🎉258🆒229🙏178⚡108
14 Aug 2026, 18:05 UTC≈59,700 views5,601 reactionsread 22 August 2026 Photo
💰 САМАЯ ДОРОГАЯ ЧАСТЬ ИИ — ВОЗМОЖНО, ВООБЩЕ НЕ САМ ИИ
Пока весь интернет спорит:
— Какая нейросеть умнее?
— Кто победит в гонке моделей?
— Кто наконец научит AI нормально считать пальцы? 😂
В другом углу рынка прямо сейчас строится бизнес, на котором все эти нейросети должны работать.
И там уже появляются очень серьёзные деньги.
4 августа AI-инфраструктурный стартап Volta Infra, которому всего около семи месяцев, с…
🔥2,770🎉974❤576🤩449👍313😎175🆒162😁75
Showing the 7 most recent of 7 posts we hold for @Inno_scope. 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.
Citation-graph rank
Citation-graph rank — 723,688 of 1,581,209entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 21 August 2026 — this
entry's latest reading, not the date you are reading this.
“INNO SCOPE / Главные инновации, стартапы и технологии без воды” (@Inno_scope), 147,561 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/Inno_scope.
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.