😏😏😏

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 |
|---|---|
| Type | Channel |
| Username | @vibecoding_tg |
| Description | Авторский канал по ВАЙБ КОДИНГУ Ссылка для друзей: https://t.me/+ll3pbl442dNkZmYy Cотрудничество: @devmangx РКН: https://clck.ru/3RRVfk |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/vibecoding_tg |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:03 | 56,568 | +2,445 |
| 11 Aug 2026, 21:03 | 54,123 | +1,653 |
| 10 Aug 2026, 20:12 | 52,470 | +110 |
| 9 Aug 2026, 23:36 | 52,360 | +418 |
| 9 Aug 2026, 02:01 | 51,942 | +617 |
| 7 Aug 2026, 22:34 | 51,325 | +35 |
| 6 Aug 2026, 21:57 | 51,290 | +200 |
| 6 Aug 2026, 01:46 | 51,090 | no change |
| 6 Aug 2026, 00:48 | 51,090 | first reading |
Engagement
54 posts held, back to 1 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 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 54 (1 August 2026 – 12 August 2026) |
| Views total | 801,980 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 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
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…
Тибо написал, что завтра для нас будет небольшой сюрприз. 😏
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…
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…
Теперь модели Claude будут встраивать невидимые водяные знаки во весь сгенерированный текст, а также добавлять метаданные ко всем поддерживаемым файлам. 🤷♂️
Линуксоиды, для вас приятные новости: Codex и ChatGPT Desktop теперь доступен и на Linux. 🤓 Пока это предварительная версия, поэтому местами ещё могут встречаться шероховатости.
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…
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…
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…
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…
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.
@deeplearning_ru · 3,71711 postsВайб заметки
@vibe_notes_by_ivan · 1011 postsInteresting IT, 3D printing and other stuff
@interestingIT · 276 postsNeiroKaufman
@neiro_kaufman · 56 postsИИшница - новости искусственного интеллекта
@iishnaya · 114 postsКирилл Lead | Карьера и жизнь в IT
@avoska_apple · 3803 postsНайт-Сити 👾
@aleksei_hunt · 4232 postsAI СКЛАД
@bizzi_AI · 1062 postsОцифрованный схоласт
@ID_sholast_ID · 8152 postsИИ для бизнеса: Кейсы → Обучение → Внедрение
@SynergAi · 2622 postsvery vibe coding
@veryvibecoding · 1132 postsDM
@ai_generat · 2241 postАльтман уже может
@aicanalready · 591 postAI Security | Безопасный ИИ
@aisecur · 1071 postКУРСЫ БПЛА 🇷🇺 БЕСПЛАТНО ✈️
@bpla_ru_dpo_ru · 5501 postCL Vibes
@clvibes · 141 postEvgeniy Shevchenko CRYPTORUN
@cryptorun · 133,3281 postdev warrior
@devwarrior · 1291 postЭхо Нулей
@echoes_of_zeroes · 401 postErrorNil. iOS-разработка
@error_nil · 6841 postОт нуля к единице
@fromzerotoproduct · 2581 postПросто Harness
@HarnessLLM · 951 postIndra.Dev(ai)
@indradev4 · 641 postАйтигребец
@ITrower · 7731 postЭкономика нейросетей
@jur_perevod · 241 postЮрий Солар | Бали, виллы, AI
@mr_solar_blog · 4551 post🖐️ Петров разбирает(ся)
@onedaynote · 2061 postProductivity Tools
@productivitytools · 8581 postVibe Coding: OpenCode, Claude Code, Codex, Cursor, Kilo
@prog_ai · 4,2651 postТитов Никита | IT инновации в недвижимости
@proptech_tita · 3021 postrich as fuck
@rich_as_fuck · 271 postMath School
@WestMathSchool · 5911 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.
Named by
Channels on the register whose posts name this channel's handle.
@ashotonline · 5224 postsBackend Portal | Программирование
@BackendPortal · 16,2814 postsС/С++ Portal | Программирование
@Cpportal · 14,9994 postsGitHub Разработчика
@git_developer · 16,9844 postsАйти мемы
@it_to_mems · 15,6004 postsАйтишная
@aitshnya · 72,1023 postsInfoSec Portal
@cybersecinform · 19,4893 postsloldev();
@loldev · 10,0933 postsПрогер
@proger3 · 90,4613 postsStart ИИ
@start_in_ai · 9683 postsC# Portal | Программирование
@KodBlog · 13,3762 postsМир Linux
@linuxos_tg · 57,0522 postsData Portal | DS & ML
@LLMScience · 8,3762 postsDevOps Portal | Linux
@loose_code · 13,0632 postsBard AI | Нейросети & IT
@NeuralToday · 31,0192 postsDesign Portal
@PortalToDesign · 16,9802 postsPython Ninja | Программирование
@python_Ninjas · 6,9032 postsPython Portal
@PythonPortal · 51,2232 postsQA Portal | Тестирование
@QAPortal · 8,4242 postsSQL Portal | Базы Данных
@SQLPortal · 13,8792 postsТерабит: айти технологии
@tbite · 28,5602 postsbishx devlog
@bishx_devlog · 5781 postДоктор GPT
@doktorgpt · 250,0971 postТворческий союз человека и машины
@human_machine_art · 311 post
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.