Telegram RegisterThe public register of Telegram

Channel

ЭнерджиIT - нейросети, технологии и IT

@nrgit

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

2,747subscribers

+15 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001781937697
TypeChannel
Username@nrgit
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/nrgit

Growth

2,7322,7472,739.57 August 2026 — 2,732 subscribers8 August 2026 — 2,739 subscribers11 August 2026 — 2,733 subscribers14 August 2026 — 2,747 subscribers7 August 202614 August 2026
4 measurements spanning 7 days, net +15. 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 2,730–2,749 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 18:562,747+14
11 Aug 2026, 01:162,733-6
8 Aug 2026, 07:252,739+7
7 Aug 2026, 08:332,732first reading

Engagement

21 posts held, back to 28 April 2026the 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
1.67%
avg views ÷ 2,747 subscribers
Avg views / post
45.9
9 posts measured
Reaction rate
4.43%
reactions ÷ views · ER floor
Posts in window
9
of 21 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 4 of 9 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 7 August 2026
Posts held21 (28 April 20267 August 2026)
Views total413
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:12 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
1h 45m
Average length
10m 31s

Measured directly from 10 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

15 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 46.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁746.7%
🔥320.0%
213.3%
👍16.67%
🤔16.67%
🥰16.67%

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 9 of the 21 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 28 April 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, 16:03 UTC9 views1 reactionsread 7 August 2026
Photo

🤬 Задолбал AI-агент? Встречайте Z.A.E.B.A.L. Когда Claude, Codex или Kimi упираются в тупик и гоняют сломанный патч по кругу, вежливость уже не помогает. Разработчики выпустили Z.A.E.B.A.L. — open-source модуль (Profanity-triggered self-audit), который превращает ваш искренний мат в главный операционный сигнал для ИИ. Как это работает? Анализ эмоций: Скрипт распознает мат на RU, EN, ZH. Фильтрация: Похвала вроде

😁1

7 Aug 2026, 12:05 UTC24 views1 reactionsread 7 August 2026
Video

😄 Искусственный интеллект может изменить мир в ближайшие годы, а пока вот что происходит. 👉 ЭнерджиIT - Подписаться

🥰1

7 Aug 2026, 06:04 UTC33 viewsread 7 August 2026
Video

Мне за эту разработку вручат такую награду. 👉 ЭнерджиIT - Подписаться

6 Aug 2026, 17:59 UTC45 views2 reactionsread 7 August 2026
Video

После просмотра этого видео вы измените свое отношение к комплиментам от ChatGPT. 👉 ЭнерджиIT - Подписаться

1👍1

6 Aug 2026, 11:59 UTC55 viewsread 7 August 2026
Photo

Higgsfield выпустил 95-минутный фильм на основе ИИ под названием Hell Grind, включающий все использованные промпты. Теперь каждый желающий может разобрать полнометражный фильм на части и увидеть, как он был создан с помощью нейросетей. На его производство было затрачено $500 тысяч, и фильм уже успели продемонстрировать на кинорынке в Каннах. После доработки графики и озвучки можно сказать, что традиционному кинопр

6 Aug 2026, 06:03 UTC49 viewsread 7 August 2026
Photo

📼 Теперь монтаж видео можно доверить искусственному интеллекту. Video-use взаимодействует с Claude Code, Codex и другими инструментами. Вам достаточно загрузить исходные материалы в папку и указать, какой именно видеоролик требуется создать. — Удаляет паузы, неудачные кадры и слова-паразиты; — Соединяет сцены и корректирует цветовую гамму; — Вставляет субтитры, анимацию и звуковые переходы; — Проверяет монтажные со

5 Aug 2026, 16:20 UTC55 viewsread 7 August 2026
Photo

Теперь любую книгу можно преобразовать в навык нейросети — вышел открытый конвертер book-to-skill для ваших ИИ-агентов. Вы можете загрузить PDF, EPUB, DOCX, Markdown или целую папку с документами — агент извлечет текст, составит конспекты глав, создаст словарь, паттерны и шпаргалки, а затем превратит это в навык. Этот метод значительно экономит токены — в 24-51 раз меньше расходов, чем если бы вы просто предоставили

5 Aug 2026, 09:58 UTC63 viewsread 7 August 2026
Photo

Google предоставил бесплатный доступ к своим ведущим курсам по искусственному интеллекту — здесь есть множество вариантов: от коротких интенсивов на полчаса до глубокого обучения. 🔅Ускорьте поиск работы с помощью ИИ — как использовать Gemini для создания резюме, поиска вакансий и успешного прохождения собеседований; 🔅ИИ для малого бизнеса — автоматизация повседневных задач, маркетинг и взаимодействие с клиентами с п

4 Aug 2026, 11:52 UTC80 views3 reactionsread 7 August 2026
Video

Родители применили такой радикальный метод, чтобы отучить своего ребенка от сладостей, что даже взрослым стоит задуматься о своем питании. Психологи в шоке. 👉 ЭнерджиIT - Подписаться

😁3

7 Jul 2026, 13:47 UTC247 viewsread 7 August 2026
Video

😎 Вайбкодеры, у нас для вас интересное предложение. На GitHub мы собрали постоянно обновляемый список сервисов, предоставляющих бесплатный доступ к API. В этом списке вы найдете такие платформы, как Google AI Studio, OpenRouter, Cloudflare Workers AI, GitHub Models, Groq, Mistral, HuggingFace и многие другие. Для каждой из них указаны лимиты, условия использования и доступные модели. Это отличный ресурс, если вам

7 Jul 2026, 12:22 UTC164 viewsread 7 August 2026

https://www.youtube.com/watch?v=pSrx3_V-nws Шурик, Нинити, Бамбарбия чигидгуду.... Что под капотом seedance 2, minimax audio. Gpt image. Круто, прям очень круто) 👉 ЭнерджиIT - Подписаться

5 Jul 2026, 18:10 UTC192 viewsread 7 August 2026
Video

🤖 Anthropic выпустили бесплатную библиотеку промптов. В ней содержится множество готовых примеров для работы с кодом, отладки, тестирования, обеспечения безопасности, дизайна и автоматизации. Каждый запрос дополнен кратким объяснением его структуры и причин, по которым он дает эффективные результаты. Мы это сохраняем. • Источник 👉 ЭнерджиIT - Подписаться

Showing the 12 most recent of 21 posts we hold for @nrgit. 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 — 217,509 of 1,478,351entries 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

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.

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

“ЭнерджиIT - нейросети, технологии и IT” (@nrgit), 2,747 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/nrgit.

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.