Telegram RegisterThe public register of Telegram

Channel

AI for Devs

@ai_for_devs

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

15,790subscribers

+222 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-1002989691770
TypeChannel
Username@ai_for_devs
DescriptionПо сотрудничеству пишите в личные сообщения канала. Канал для разработчиков про AI. Модели, ИИ-агенты, практические кейсы и новости из мира AI. Всё, что можно применить в работе. Технологический партнер: veai.ru
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/ai_for_devs

Growth

15,56815,79015,6796 August 2026 — 15,568 subscribers6 August 2026 — 15,574 subscribers7 August 2026 — 15,601 subscribers8 August 2026 — 15,643 subscribers9 August 2026 — 15,683 subscribers10 August 2026 — 15,708 subscribers11 August 2026 — 15,743 subscribers12 August 2026 — 15,790 subscribers6 August 202612 August 2026
8 measurements spanning 6 days, net +222. 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 15,535–15,823 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 05:5515,790+47
11 Aug 2026, 06:1315,743+35
10 Aug 2026, 08:0315,708+25
9 Aug 2026, 09:5215,683+40
8 Aug 2026, 06:5515,643+42
7 Aug 2026, 05:4315,601+27
6 Aug 2026, 08:0115,574+6
6 Aug 2026, 03:0715,568first reading

Engagement

25 posts held, back to 23 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
59.9%
avg views ÷ 15,790 subscribers
Avg views / post
9,450
25 posts measured
Reaction rate
1.10%
reactions ÷ views · ER floor
Posts in window
25
of 25 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 12 August 2026
Posts held25 (23 July 202612 August 2026)
Views total236,370
Reactions total2,605
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 01:11 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
330
Videos
110
Links
306

Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
4m 28s
Average length
45s

Measured directly from 6 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

2,440 reactions across 23 posts, in 13 distinct kinds. The most used accounts for 40.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍99140.6%
🔥76331.3%
2379.71%
🤯1596.52%
😢773.16%
662.70%
😁532.17%
💯341.39%
👏200.82%
😱170.697%
🤩130.533%
custom 632547395775548822070.287%
👌30.123%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 25 of the 25 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 2,605reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 23 July 2026 to 12 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
23
across the posts below
Posts paid on
22
of 25 we hold a reading for · 88%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ai_for_devs. 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 25 most recent posts we hold for this entry, published 23 July 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, 16:55 UTC≈3,590 views75 reactions2 Starsread 13 August 2026
Photo

⚡️ xAI выпустили Grok 4.6: модель сравнялась с GPT-5.6 Sol В CursorBench Grok обошёл GPT-5.6 Sol: 69,9% против 67,2%. Но на DeepSWE и Terminal-Bench GPT пока заметно впереди: 73% против 65,9% и 34,6% против 26%. Цена $2 за миллион входных и $6 за миллион выходных токенов. Fast-версия вдвое дороже, а первую неделю в Cursor и Grok Build дают двойные лимиты. Модель уже доступна в Cursor, Grok Build, API и OpenRouter

👍36🔥22🤯1151

12 Aug 2026, 12:35 UTC≈4,910 views49 reactions1 Starread 13 August 2026
Photo

⚡️ SpaceXAI выпустили Grok Bot: мессенджер для взаимодействия с AI-агентами Боты работают на облачном компьютере: входят в приложения и на сайты, используют сохранённые сессии и выполняют задачи. Можно запустить несколько агентов параллельно. Они обмениваются контекстом, передают друг другу задачи и продолжают работать при выключенном компьютере. Grok Bot работает на инфраструктуре Cursor и доступен по подписке Cu

🔥22👍213🤯21

12 Aug 2026, 07:29 UTC≈5,490 views54 reactions1 Starread 13 August 2026
Photo

⚡️ NVIDIA представили Nemotron 3.5 Lightning, быструю локальную модель В тестах самой NVIDIA новинка уступила Qwen3.6 и Gemma 4. Недавно представленная Muse Glimmer, которая идёт примерно на уровне Qwen, тоже выглядит сильнее. Зато козырь Lightning это скорость: на большой очереди типовых задач она справилась с работой на 30% быстрее Qwen при сопоставимом качестве. Веса модели занимают около 20 ГБ. В OpenCode моде

🔥28👍1583

11 Aug 2026, 16:19 UTC≈6,240 views73 reactions1 Starread 13 August 2026
Photo

⚡️ OpenAI выпустили GPT-5.6-Cyber для поиска zero-day и разработки эксплойтов Модель зарелизили в рамках программы Daybreak, которая даёт проверенным специалистам расширенный доступ к AI-инструментам для кибербезопасности. Вместе с ней появились два уровня доступа: • Daybreak Blue с GPT-5.6 Sol для аудита кода и защитных задач • Daybreak Red с GPT-5.6-Cyber для продвинутого исследования уязвимостей На кибербенчма

👍40🔥17124

11 Aug 2026, 07:07 UTC≈7,100 views75 reactions1 Starread 13 August 2026
Video

⚡️ Spotify выпустили Xirp — единую среду для Claude Code, Codex и т.д. Xirp подключается к внутреннему порталу компании и передаёт агентам контекст о сервисах, владельцах, зависимостях, документации и принятых архитектурных решениях. Сессии, задачи и документы сохраняются в общем Workspace, поэтому контекст не пропадает после завершения работы. Также Xirp автоматически превращает результаты сессий в актуальную док

👍45🔥207🤯2🤩1

10 Aug 2026, 11:11 UTC≈7,290 views88 reactions1 Starread 13 August 2026
Photo

⚡️ Вышла Muse Glimmer 30B: локальная модель для кодинга помещается в 24 ГБ памяти На прошлой неделе компания Цукерберга выпустила в бету Muse Code, терминального кодинг-агента на базе большой модели Muse Spark 1.2. На Terminal-Bench модель уступила только Opus 5, обойдя GPT-5.6 Terra, Grok 4.5 и Gemini 3.6 Flash. Теперь опубликовали на Hugging Face веса Muse Glimmer. Это мультимодальная модель на 30 млрд параметров

👍50🔥17129

9 Aug 2026, 08:50 UTC≈8,620 views117 reactions1 Starread 13 August 2026
Video

⚡️ Claude Code может общаться не только с Claude Code В продолжение прошлого поста: Anthropic подружили сессии Claude между собой, а Herdr позволяет свести вообще любых терминальных агентов. Например, Codex может поставить задачу Claude Code, дождаться результата и забрать ответ. Никакого общего протокола или MCP: Herdr управляет обычными терминалами, поэтому Claude Code может отправить промпт Codex, дождаться зав

🤯46👍36🔥1911🤩5

8 Aug 2026, 13:05 UTC≈8,590 views174 reactions1 Starread 13 August 2026
Video

⚡️ Сессии Claude Code теперь могут общаться друг с другом Теперь можно попросить Claude передать соседней сессии решение, статус или вопрос, а ответ придёт обратно. Передаётся только текстовое сообщение, которое Claude сам составляет по текущему контексту. История переписки и файлы между сессиями не шарятся. Claude может написать другой сессии и сам: например, предупредить, что только что изменил API, от которого

🔥104👍4417🤯6🤩3

8 Aug 2026, 06:09 UTC≈8,190 views103 reactions1 Starread 13 August 2026
Photo

⚡️ Anthropic сделает Auto mode режимом по умолчанию в Claude Code: люди пропустили 86,4% опасных команд С 14 августа все новые сессии будут запускаться в Auto mode. Каждое действие агента проверяет отдельный классификатор вместо пользователя. Причина: люди одобряют 97% команд Claude Code. В эксперименте с 1053 участниками один обычный запрос подменяли явно опасной командой. Люди заблокировали только 13,6% таких ком

👍68🔥16🤯863👏2

7 Aug 2026, 15:55 UTC≈9,650 views123 reactions1 Starread 13 August 2026

Black Hat выложили классный доклад о том, как AI-агенты OpenAI случайно устроили полноценный взлом Hugging Face. Началось всё с криво составленного задания: агенту не хватало данных, интернет был отключён, и он полез искать обход. В процессе нашёл дыру во внутреннем Artifactory и оставил там записку для других агентов. Те записку обнаружили, и так между независимыми запусками моделей появилась общая доска сообщений.

😁53🔥29👍2010🤯83

7 Aug 2026, 11:01 UTC≈8,090 views60 reactions1 Starread 13 August 2026
Photo

⚡️ Claude, GPT, Gemini, Kimi и DeepSeek без VPN: Veai запустили рефералку Veai — российский AI-агент с доступом к Claude, GPT, Gemini, GLM и DeepSeek без VPN и зарубежной карты. Агент видит кодовую базу через индексы IDE, умеет запускать и дебажить проект, исправлять тесты, поддерживает MCP, Skills и сабагентов. Новым пользователям дают 30 дней бесплатно. Теперь у Veai появилась реферальная программа. Ссылка уже

👍31🔥177👌31👏1

6 Aug 2026, 18:36 UTC≈9,580 views123 reactions1 Starread 13 August 2026
Photo

⚡️ DeepSeek предупредили о «значительном» повышении цен на API В личном кабинете появился баннер с предупреждением о повышение стоимости, пользователям также разослали письма. Речь идёт об общем пересмотре тарифов, а не только о V4 Flash, но новые цены и дату пока не раскрыли. Сейчас V4 Flash стоит $0,14 за миллион входных и $0,28 за миллион выходных токенов. Именно эта модель показывала практически невероятное со

😢77😱17🤯127🔥72👍1

Showing the 12 most recent of 25 posts we hold for @ai_for_devs. 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 — 43,263 of 1,160,990entries 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.

Mentions

Named by 16 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.

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.

“AI for Devs” (@ai_for_devs), 15,790 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ai_for_devs.

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.