Telegram RegisterThe public register of Telegram

Channel

Нейромедиа

@neiro_media

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

798subscribers

+6 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003894208219
TypeChannel
Username@neiro_media
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/neiro_media

Growth

7927987957 August 2026 — 792 subscribers8 August 2026 — 792 subscribers15 August 2026 — 798 subscribers7 August 202615 August 2026
3 measurements spanning 7 days, net +6. 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 791–799 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 02:34798+6
8 Aug 2026, 01:45792no change
7 Aug 2026, 19:06792first reading

Engagement

20 posts held, back to 10 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
40.7%
avg views ÷ 798 subscribers
Avg views / post
325
14 posts measured
Reaction rate
3.10%
reactions ÷ views · ER floor
Posts in window
14
of 20 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (10 July 20267 August 2026)
Views total4,545
Reactions total141
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 01:45 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
28s
Average length
9s

Measured directly from 3 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

197 reactions across 20 posts, in 16 distinct kinds. The most used accounts for 24.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4824.4%
🔥4321.8%
4020.3%
😁2110.7%
🌚147.11%
🤣94.57%
👻73.55%
💯31.52%
😱31.52%
🤔21.02%
🥰21.02%
10.508%
🗿10.508%
😍10.508%
😢10.508%
🤗10.508%

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 20 of the 20 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 197reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 10 July 2026 to 7 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

7 Aug 2026, 13:57 UTC119 views9 reactionsread 8 August 2026
Video

Ситуация из параллельной вселенной Руководитель хвалит меня за отличную работу, на которую он дал две недели, и выписывает премию. Также мы с Claude, которые сделали эту задачу за 0,99999 секунд:

🤣3🌚2💯1🔥1🤗1😁1

6 Aug 2026, 14:13 UTC183 views6 reactionsread 8 August 2026
Photo

Нейроисповедь: ИИ не может довести человека до результата Кем вы работаете? Преподавателем английского для взрослых, веду индивидуальные и групповые занятия онлайн. Сколько вам лет? 35 Для чего используете нейросети? Использую ChatGPT для подготовки к урокам. 🔹 Генерирую тексты и диалоги под уровень и интересы студента. Например, если человек работает в логистике, прошу текст про цепочки поставок для уровня B1 —

👍2🔥21🌚1

5 Aug 2026, 15:01 UTC181 views6 reactionsread 8 August 2026

Три навыка, которые помогают вайбкодить Опытом поделилась Юлия Поповкина, операционный и проектный директор на аутсорсе. Помогает компаниям настраивать процессы, CRM, ERP-системы и Telegram-ботов. 🔹 Навык руководить разработками. Важно понимать, зачем нужно ТЗ, как тестировать результат. Например, когда Claude выдает рабочий код, это еще не значит, что система решает задачу бизнеса. 🔹 Насмотренность в ERP. Нужно з

👍31🔥1😍1

4 Aug 2026, 16:04 UTC220 views11 reactionsread 8 August 2026
Video

Это я прошу ИИ четко следовать ТЗ и ничего не придумывать

🔥3😁31🌚1💯1🗿1🤣1

Signed Леся Гордиенко

3 Aug 2026, 12:34 UTC248 views14 reactionsread 8 August 2026
Photo

Нейроисповедь: клиенты платят не за посты, а за стратегию Кем вы работаете? SMM-менеджером, веду соцсети для нескольких компаний: контент-план, тексты, визуал, работа с комментариями и аналитика. Сколько вам лет? 28 Для чего используете нейросети? ChatGPT — основная рабочая лошадка. Генерю с ним идеи для рубрик, пишу черновики постов, адаптирую один текст под разные площадки: в запрещенограмме — одна подача, в Te

👍5🔥42🌚1👻1💯1

30 Jul 2026, 08:06 UTC361 views13 reactionsread 8 August 2026
Photo

Представьте: вас приглашают на эксперимент, где нужно общаться с человекоподобным роботом, чтобы понять, есть ли у него сознание. Вы уверены, что никакого сознания у машины нет, но соглашаетесь. Вы начинаете вести беседу с машиной без особых ожиданий. Но в процессе ловите себя на мысли, что «машина» потихоньку очаровывает вас. Кажется, она испытывает настоящие чувства, и между вами возникает особая связь. Это — час

👍64🔥3

28 Jul 2026, 12:57 UTC372 views10 reactionsread 8 August 2026
Photo

Если не ChatGPT, DeepSeek и другие, то что? Из бесплатных нейросетей есть еще китайская GLM, которая доступна в России и может не хуже делать задачи типа: 🔹 написать текст, 🔹 проанализировать документы, 🔹 сгенерировать презентацию, 🔹 создать файлы форматов DOCX, PDF и XLSX. У нейронки есть два режима: Chat и Agent. В первом вы ведете диалог в чате и решаете быстрые задачи (например, просите сделать саммари). Во вт

5👍3🔥2

27 Jul 2026, 12:23 UTC454 views7 reactionsread 8 August 2026

Нейроисповедь: мозги никто не отменял Кем вы работаете? Копирайтером на фрилансе, пишу для B2B. Сколько вам лет? 48 Для чего используете нейросети? Для текстов — Copilot, DeepSeek, Qwen, для творчества — Grok и Midjourney. Подбираю нужное в зависимости от задачи. Как изменилась ваша жизнь с появлением нейросетей? Стало проще и сложнее одновременно. Проще — в накидывании черновой работы, сложнее — в ее редактиро

👍32🔥2

24 Jul 2026, 13:37 UTC444 views9 reactionsread 8 August 2026
Video

Когда вышел новый ChatGPT😎

😁4🌚2👻1🔥1🤣1

23 Jul 2026, 12:49 UTC421 views9 reactionsread 8 August 2026
Photo

Как составить себе трек развития с ИИ Привет! Я Настя Сучкова, веду канал «рост выше среднего» про то, как в 2026-м строить агентство, управлять командой и жить жизнь. Делюсь инструментами для руководителей и предпринимателей, а ещё пишу про практические ИИ-инструменты. Ниже рассказываю про формат для тех, кто любит рисовать майндмепы и рефлексировать. Используйте его, когда хочется развития, но непонятно, куда дви

4👍2🌚1🔥1🥰1

22 Jul 2026, 14:40 UTC344 views7 reactionsread 8 August 2026
Photo

ИИ для тех, кто заботится о здоровье 👩‍⚕️ Эти сервисы помогут понять, что значат ваши результаты анализов. Заменять ими консультации у врачей я бы не стала, но глянуть ради любопытства — почему нет. Kantesti Интерпретирует анализы крови — поясняет, что значит конкретное значение и есть ли отклонение от нормы. Бесплатно можно попробовать один раз. AI-Analiz Расшифровывает результаты анализов крови, мочи, кала, со

👍4🔥21

21 Jul 2026, 11:44 UTC353 views11 reactionsread 8 August 2026

Тот самый сын маминой подруги из Китая 🤓 Сегодня хотим рассказать вам про нейросеть Kimi. А именно разложить ее на плюсы и минусы: Плюсы: + Работает в России без ограничений. + Отлично справляется с файлами: загружаете документ, а на выходе получаете выжимку, сравнение или чек-лист. + Есть три специальных режима: агентский (сам ищет данные в интернете), исследовательский (глубокий анализ со ссылками) и генератор

👍62🌚1👻1🔥1

Showing the 12 most recent of 20 posts we hold for @neiro_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.

Citation-graph rank

Citation-graph rank — 1,089,195 of 1,480,688entries 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

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

“Нейромедиа” (@neiro_media), 798 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/neiro_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.