Telegram RegisterThe public register of Telegram

Channel

Вайб-кодинг

@vibecoding_tg

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

56,568subscribers

+5,478 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001555418015
TypeChannel
Username@vibecoding_tg
DescriptionАвторский канал по ВАЙБ КОДИНГУ Ссылка для друзей: https://t.me/+ll3pbl442dNkZmYy Cотрудничество: @devmangx РКН: https://clck.ru/3RRVfk
CreatedBetween 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/vibecoding_tg

Growth

51,09056,56853,8296 August 2026 — 51,090 subscribers6 August 2026 — 51,090 subscribers6 August 2026 — 51,290 subscribers7 August 2026 — 51,325 subscribers9 August 2026 — 51,942 subscribers9 August 2026 — 52,360 subscribers10 August 2026 — 52,470 subscribers11 August 2026 — 54,123 subscribers12 August 2026 — 56,568 subscribers6 August 202612 August 2026
9 measurements spanning 7 days, net +5,478. 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 50,268–57,390 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:0356,568+2,445
11 Aug 2026, 21:0354,123+1,653
10 Aug 2026, 20:1252,470+110
9 Aug 2026, 23:3652,360+418
9 Aug 2026, 02:0151,942+617
7 Aug 2026, 22:3451,325+35
6 Aug 2026, 21:5751,290+200
6 Aug 2026, 01:4651,090no change
6 Aug 2026, 00:4851,090first reading

Engagement

54 posts held, back to 1 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
26.3%
avg views ÷ 56,568 subscribers
Avg views / post
14,900
54 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
54
of 54 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 14 of 54 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 12 August 2026
Posts held54 (1 August 202612 August 2026)
Views total801,980
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:29 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
2,010
Videos
828
Links
1,320

Lifetime counters from Telegram’s own channel header, read 12 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
11m 19s
Average length
57s

Measured directly from 12 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.

Telegram Stars

Stars received
29
across the posts below
Posts paid on
9
of 54 we hold a reading for · 17%
Most on one post
7
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vibecoding_tg. 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 54 most recent posts we hold for this entry, published 1 August 2026 to 12 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

12 Aug 2026, 15:54 UTC≈8,780 viewsread 12 August 2026
Photo

Grok 4.6 уже вышел. 😏 Модель стала заметно сильнее Grok 4.5, при этом цена осталась прежней. По тестам самой xAI, Grok 4.6 сравнялся с GPT-5.6 Sol в AA Intelligence Index — по 61 баллу, а в CursorBench, FrontierCode и AA-Briefcase даже обошёл его. Стоит примерно вдвое дешевле других передовых моделей — $2 за миллион входных токенов и $6 за миллион выходных. Модель уже доступна в Grok Build, Cursor, Grok Bot и чере

12 Aug 2026, 08:44 UTC≈14,300 viewsread 12 August 2026
Photo

Тибо написал, что завтра для нас будет небольшой сюрприз. 😏

12 Aug 2026, 08:01 UTC≈14,800 viewsread 12 August 2026
Photo

NVIDIA выпустила открытую модель Nemotron 3.5 Lightning для постоянно работающих ИИ-агентов. Это модель на 30 млрд параметров, из которых активируются только 3 млрд. За счёт этого скорость генерации до четырёх раз выше, чем у моделей сопоставимого размера. В PinchBench она показала точность 86% и выполнила 10 000 задач на 35% быстрее Qwen3.6 35B при сопоставимой точности. Модель можно дообучить на собственных данн

12 Aug 2026, 07:01 UTC≈14,400 viewsread 12 August 2026

Нашёл интересный совет по Codex: вместо /goal юзать define-goal. По сути, это как если бы ИИ экспертного уровня формулировал цель за тебя лучше, чем ты сам. И это официальный навык OpenAI. Так промпты могут работать дольше, а результат получается качественнее. Сначала просишь Sol в режиме высокого уровня усилий исследовать задачу и составить план. Дальше важный момент: Sol сам по умолчанию не запускает Luna как са

12 Aug 2026, 06:01 UTC≈14,700 viewsread 12 August 2026
Photo

Теперь модели Claude будут встраивать невидимые водяные знаки во весь сгенерированный текст, а также добавлять метаданные ко всем поддерживаемым файлам. 🤷‍♂️

12 Aug 2026, 05:42 UTC≈14,800 views0 reactions3 Starsread 12 August 2026
Video

Линуксоиды, для вас приятные новости: Codex и ChatGPT Desktop теперь доступен и на Linux. 🤓 Пока это предварительная версия, поэтому местами ещё могут встречаться шероховатости.

12 Aug 2026, 05:08 UTC≈14,800 viewsread 12 August 2026
Video

Теперь работу из других агентов можно синхронизировать с ChatGPT Work и Codex. Можно импортировать проекты, чаты, навыки и плагины, смотреть историю импорта и при желании включить автоматические обновления в настройках. Причём самое интересное здесь именно чаты, навыки и плагины. Сами проекты и AGENTS.md и раньше можно было использовать параллельно в разных агентах. Функция уже доступна в десктопном приложении Cha

11 Aug 2026, 12:20 UTC≈17,700 viewsread 12 August 2026
Video

Tencent Hunyuan выпустили WorldClaw — систему, в которой агент сам планирует и собирает 3D-мир. 😳 Пользователь просто описывает нужную сцену. Дальше WorldClaw сам планирует ландшафт, генерирует здания, растения, персонажей и другие объекты, а затем собирает всё это в Blender. Причём система ещё и проверяет результат. Если объекты висят в воздухе, пересекаются друг с другом или выглядят несоразмерно, WorldClaw продо

11 Aug 2026, 08:14 UTC≈18,200 views0 reactions2 Starsread 12 August 2026
Video

Hermes Agent Desktop продолжает радовать обновлениями. 😏 На днях там появился HUD mode. Теперь Hermes перестаёт быть отдельным окном и превращается в слой поверх приложения, в котором вы работаете. Его можно оставить рядом как агента-помощника, перетаскивать по экрану и задавать вопросы прямо по ходу работы. Например, Hermes может читать и суммировать посты в X, анализировать графики TradingView и даже открывать п

11 Aug 2026, 07:09 UTC≈17,200 viewsread 12 August 2026
Photo

Сильная новая работа от Meta. Обычно законы масштабирования предполагают, что размер модели и объём данных влияют на ошибку независимо друг от друга. В этой работе авторы вводят Skaling law — закон, который связывает ёмкость модели и данные через единый параметр взаимодействия. Дополнительный член снижает среднюю абсолютную процентную ошибку примерно в 1,5–3 раза как при интерполяции, так и при экстраполяции. Сам

11 Aug 2026, 06:08 UTC≈16,400 viewsread 12 August 2026

Поскольку вопросы безопасности становятся всё актуальнее, OpenAI выпускает специализированную модель для кибербезопасности — GPT-5.6-Cyber. Это первая масштабная попытка компании напрямую усилить модель для продвинутых задач в этой области, включая разработку эксплойтов. По словам OpenAI, модель уже показывает себя особенно сильно в защитных сценариях. Её используют по всему внутреннему стеку для редтиминга, а иссл

Showing the 12 most recent of 54 posts we hold for @vibecoding_tg. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 67 of 1,151,006entries 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.

Generative Ai
@deeplearning_ru · 3,717
11 posts
Вайб заметки
@vibe_notes_by_ivan · 10
11 posts
Interesting IT, 3D printing and other stuff
@interestingIT · 27
6 posts
NeiroKaufman
@neiro_kaufman · 5
6 posts
ИИшница - новости искусственного интеллекта
@iishnaya · 11
4 posts
Кирилл Lead | Карьера и жизнь в IT
@avoska_apple · 380
3 posts
Найт-Сити 👾
@aleksei_hunt · 423
2 posts
AI СКЛАД
@bizzi_AI · 106
2 posts
Оцифрованный схоласт
@ID_sholast_ID · 815
2 posts
ИИ для бизнеса: Кейсы → Обучение → Внедрение
@SynergAi · 262
2 posts
very vibe coding
@veryvibecoding · 113
2 posts
DM
@ai_generat · 224
1 post
Альтман уже может
@aicanalready · 59
1 post
AI Security | Безопасный ИИ
@aisecur · 107
1 post
КУРСЫ БПЛА 🇷🇺 БЕСПЛАТНО ✈️
@bpla_ru_dpo_ru · 550
1 post
CL Vibes
@clvibes · 14
1 post
Evgeniy Shevchenko CRYPTORUN
@cryptorun · 133,328
1 post
dev warrior
@devwarrior · 129
1 post
Эхо Нулей
@echoes_of_zeroes · 40
1 post
ErrorNil. iOS-разработка
@error_nil · 684
1 post
От нуля к единице
@fromzerotoproduct · 258
1 post
Просто Harness
@HarnessLLM · 95
1 post
Indra.Dev(ai)
@indradev4 · 64
1 post
Айтигребец
@ITrower · 773
1 post
Экономика нейросетей
@jur_perevod · 24
1 post
Юрий Солар | Бали, виллы, AI
@mr_solar_blog · 455
1 post
🖐️ Петров разбирает(ся)
@onedaynote · 206
1 post
Productivity Tools
@productivitytools · 858
1 post
Vibe Coding: OpenCode, Claude Code, Codex, Cursor, Kilo
@prog_ai · 4,265
1 post
Титов Никита | IT инновации в недвижимости
@proptech_tita · 302
1 post
rich as fuck
@rich_as_fuck · 27
1 post
Math School
@WestMathSchool · 591
1 post

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 61 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.

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

“Вайб-кодинг” (@vibecoding_tg), 56,568 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/vibecoding_tg.

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.