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Channel

Нейроєнот | Нейромережа Midjourney, chat GPT та інші

@neuroenot

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

14,370subscribers

-3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001283003726
TypeChannel
Username@neuroenot
CreatedBetween 1 April 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live22 August 2026
Measurements held17
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/neuroenot

Growth

14,35214,38414,3686 August 2026 — 14,373 subscribers6 August 2026 — 14,373 subscribers7 August 2026 — 14,371 subscribers8 August 2026 — 14,367 subscribers9 August 2026 — 14,364 subscribers10 August 2026 — 14,361 subscribers11 August 2026 — 14,356 subscribers12 August 2026 — 14,358 subscribers13 August 2026 — 14,352 subscribers14 August 2026 — 14,369 subscribers16 August 2026 — 14,374 subscribers17 August 2026 — 14,384 subscribers18 August 2026 — 14,376 subscribers19 August 2026 — 14,378 subscribers20 August 2026 — 14,381 subscribers21 August 2026 — 14,377 subscribers22 August 2026 — 14,370 subscribers14,3706 August 202622 August 2026
17 measurements spanning 16 days, net -3. 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 14,347–14,389 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 17:2514,370-7
21 Aug 2026, 09:2614,377-4
20 Aug 2026, 10:2514,381+3
19 Aug 2026, 12:3614,378+2
18 Aug 2026, 15:5514,376-8
17 Aug 2026, 15:2714,384+10
16 Aug 2026, 06:0614,374+5
14 Aug 2026, 14:5514,369+17
13 Aug 2026, 02:5414,352-6
12 Aug 2026, 06:2214,358+2
11 Aug 2026, 05:2414,356-5
10 Aug 2026, 02:5214,361-3
9 Aug 2026, 01:2114,364-3
8 Aug 2026, 01:3314,367-4
7 Aug 2026, 01:0714,371-2
6 Aug 2026, 19:0014,373no change
6 Aug 2026, 18:5114,373first reading

Engagement

78 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 30 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.20%
avg views ÷ 14,370 subscribers
Avg views / post
1,320
78 posts measured
Reaction rate
1.05%
reactions ÷ views · ER floor
Posts in window
78
of 78 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 77 of 78 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 22 August 2026
Posts held78 (2 August 202622 August 2026)
Views total103,146
Reactions total1,076
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 12:44 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

Video runtime
35m 48s
Average length
51s

Measured directly from 42 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

1,076 reactions across 77 posts, in 19 distinct kinds. The most used accounts for 38.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
41938.9%
🔥29327.2%
👍15414.3%
❤‍🔥676.23%
😁474.37%
👏373.44%
🤝141.30%
😨90.836%
🤣90.836%
😎70.651%
🤯60.558%
🥰50.465%
20.186%
😢20.186%
👌10.093%
💯10.093%
😱10.093%
🤔10.093%
🤪10.093%

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 77 of the 78 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 1,076reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 78 most recent posts we hold, published 2 August 2026 to 22 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 78 we hold a reading for · 1%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @neuroenot. 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 78 most recent posts we hold for this entry, published 2 August 2026 to 22 August 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.

Recent posts

22 Aug 2026, 10:32 UTC432 views5 reactionsread 22 August 2026
Video

📌Black Forest Labs запустила FLUX Upscale для відео до 4K FLUX Upscale підвищує роздільність відео до 4K і не просто розтягує кадр, а відновлює деталі та виправляє артефакти. 🔆Детальніше • Підтримується масштабування ×1,5, ×2, та ×3 — до 1080p, 2K та 4K. • Precise зберігає вихідний вигляд і краще підходить для облич та інших деталей, які важливо не змінити. • Creative сильніше відновлює та домальовує деталі, але

🔥3❤‍🔥2

22 Aug 2026, 07:02 UTC764 views15 reactionsread 22 August 2026
Video

📌Anthropic показала, як Claude вже допомагає розробляти ліки в лабораторії Claude самостійно проєктував білки, які мають зв'язуватися з заданими молекулярними мішенями, а потім кандидати перевіряли в реальних лабораторних експериментах. 🔆Детальніше • Модель працювала з 15 мішенями та отримала результат для 14 із них. • Залежно від режиму 22,6–35,1% створених варіантів підтвердили свою активність у лабораторії. •

8👍4🥰2👏1

21 Aug 2026, 17:00 UTC≈1,050 views11 reactionsread 22 August 2026
Video

📌ElevenLabs випустила Eleven v3 Conversational ElevenLabs представила нову версію v3, оптимізовану для живих діалогів. Модель може не просто озвучувати текст, а передавати емоції, реакції та різну манеру мовлення. 🔆Детальніше • Через audio tags можна керувати подачею: додати сміх, шепіт, сарказм, подив чи інші реакції. • Модель підтримує природні діалоги між кількома співрозмовниками. • Eleven v3 працює з 70+ мо

🔥72❤‍🔥2

21 Aug 2026, 15:00 UTC≈1,020 viewsread 22 August 2026
Photo

🤖 AI вже змінює роботу і бізнес. Але як встигати за сотнями нових інструментів, моделей і можливостей? AI Digest — щодня: 🔥 головні новини AI 🧠 готові промпти ⚙️ автоматизації та AI-інструменти 💼 практичне застосування для роботи і бізнесу Без води. Українською. Підписуйся та будь на крок попереду 👇

21 Aug 2026, 13:02 UTC≈1,080 views11 reactionsread 22 August 2026
Video

📌Google AI Studio тепер синхронізується з GitHub у дві сторони AI Studio Build отримав можливість імпортувати готові GitHub-репозиторії та продовжувати їх розробку за допомогою ШІ. Зміни можна синхронізувати назад у GitHub і навпаки. 🔆Детальніше • Готовий репозиторій можна імпортувати в AI Studio одним кліком. • Після цього код можна редагувати за допомогою ШІ-інструментів Gemini. • Зміни з AI Studio можна відпр

🔥81❤‍🔥1👏1

21 Aug 2026, 10:02 UTC≈1,080 views11 reactionsread 22 August 2026
Photo

📌MAI-Image-2.5-Pro дебютувала на першому місці в рейтингу редагування зображень Microsoft випустила MAI-Image-2.5-Pro у preview — свою модель, орієнтовану на максимальну якість генерації та редагування зображень. 🔆Детальніше • У Artificial Analysis Image Arena модель одразу посіла 1 місце у Image Editing. • У Text to Image MAI-Image-2.5-Pro стартувала на 7 місці. • У редагуванні вона випередила Reve 2.1, GPT Ima

👍8🔥2❤‍🔥1

21 Aug 2026, 07:03 UTC≈1,080 views11 reactionsread 22 August 2026
Photo

📌Stable Audio 3.0 тепер працює прямо в Ableton та Logic Stability AI випустила плагін Stable Audio 3.0 для DAW. Тепер музику можна генерувати безпосередньо всередині проєкту, а потім одразу редагувати та міксувати. 🔆Детальніше • Плагін синхронізується з BPM проєкту та генерує треки тривалістю до шести хвилин. • Кілька варіантів можна зберігати як окремі тейки та порівнювати. • Працює в Ableton Live та Logic Pro

9👏1🔥1

20 Aug 2026, 17:00 UTC≈1,180 views13 reactionsread 22 August 2026
Photo

📌Вийшла відкрита модель Ornith-1.5 із self-improvement Команда Ornith випустила нове сімейство моделей, які під час навчання самостійно створюють завдання, середовища для їх виконання та способи розв'язання, а потім навчаються на результатах. 🔆Детальніше • Доступні версії на 9B, 35B та 397B параметрів. • Модель сама генерує складніші завдання в міру власного прогресу. • Для кожного завдання вона також створює аб

92👏1🔥1

20 Aug 2026, 15:00 UTC≈1,110 views6 reactionsread 22 August 2026
Photo

‼️Безкоштовно спробуйте AI-професію за 3 дні! Перейти в нову сферу складно: багато інформації, незрозуміло з чого почати, важко оцінити свої сили. 🤖AI-напрям зараз один із найперспективніших — і водночас доступний навіть без технічного бекграунду. Тому ми запрошуємо вас на 3х денний інтенсив "АІ-автоматизація без програмування" ⏺День1: Розберешся, хто такий AI-автоматизатор і за що йому платять. Почнеш створювати

🤣42

20 Aug 2026, 14:01 UTC≈1,140 views14 reactionsread 22 August 2026
Video

📌Firecrawl з’явився в каталозі Claude Anthropic додала Firecrawl до офіційного каталогу як плагін для Claude Code. Він дає ШІ доступ до пошуку вебом, збору даних із сайтів та автономного дослідження інформації. 🔆Детальніше • Firecrawl Search дозволяє шукати актуальну інформацію в інтернеті та повертати Claude очищений контекст зі знайдених сторінок. • Плагін також уміє отримувати вміст окремих сторінок, обходити

👍7🔥4❤‍🔥21

20 Aug 2026, 10:33 UTC≈1,170 views15 reactionsread 22 August 2026
Video

📌Alibaba представила ШІ для генерації пісень Alibaba Cloud відкрила доступ до Fun-Music — моделі, яка може створювати повноцінні треки за текстовим описом або готовими словами пісні. Система також підтримує генерацію інструментальної музики без вокалу. 🔆Детальніше • За текстовим описом Fun-Music може самостійно написати лірику, скомпонувати музику та згенерувати готову пісню. • Можна надати власний текст — модель

11👍4

20 Aug 2026, 07:04 UTC≈1,290 views10 reactionsread 22 August 2026
Video

📌Hermes Desktop отримав режим ботів У Hermes Desktop профілі агентів тепер можна перетворювати на окремих іменованих ботів. Для кожного можна задати власну роль, модель, пам'ять, навички та аватар. 🔆Детальніше • Можна створити окремих ботів для програмування, ресерчу, роботи з текстами чи файлами. • Кожен бот має власні налаштування, пам'ять, навички та модель. • Для різних задач можна використовувати різні моде

9🔥1

Showing the 12 most recent of 78 posts we hold for @neuroenot. 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 — 965,593 of 1,584,142entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“Нейроєнот | Нейромережа Midjourney, chat GPT та інші” (@neuroenot), 14,370 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/neuroenot.

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.