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Channel

AI for Devs

@ai_for_devs

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

16,192subscribers

+624 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 live21 August 2026
Measurements held16
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/ai_for_devs

Growth

15,56816,19215,8806 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 subscribers13 August 2026 — 15,838 subscribers14 August 2026 — 15,973 subscribers16 August 2026 — 16,014 subscribers17 August 2026 — 16,047 subscribers18 August 2026 — 16,096 subscribers19 August 2026 — 16,121 subscribers20 August 2026 — 16,137 subscribers21 August 2026 — 16,192 subscribers6 August 202621 August 2026
16 measurements spanning 16 days, net +624. 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 15,474–16,286 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 18:2716,192+55
20 Aug 2026, 13:2316,137+16
19 Aug 2026, 16:0216,121+25
18 Aug 2026, 15:2316,096+49
17 Aug 2026, 15:1616,047+33
16 Aug 2026, 08:5516,014+41
14 Aug 2026, 21:3615,973+135
13 Aug 2026, 09:2415,838+48
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

36 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 32 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
58.1%
avg views ÷ 16,192 subscribers
Avg views / post
9,400
35 posts measured
Reaction rate
1.10%
reactions ÷ views · ER floor
Posts in window
35
of 36 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 21 August 2026
Posts held36 (23 July 202621 August 2026)
Views total329,110
Reactions total3,634
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 11:18 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
346
Videos
111
Links
316

Lifetime counters from Telegram’s own channel header, read 22 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
5m 14s
Average length
45s

Measured directly from 7 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

3,572 reactions across 34 posts, in 14 distinct kinds. The most used accounts for 36.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,28636.0%
🔥1,15632.4%
🤯3299.21%
3168.85%
😁1664.65%
1073.00%
😢772.16%
💯340.952%
🤣260.728%
🤩260.728%
👏220.616%
😱170.476%
custom 632547395775548822070.196%
👌30.084%

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 36 of the 36 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 3,737reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 23 July 2026 to 21 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
38
across the posts below
Posts paid on
33
of 36 we hold a reading for · 92%
Most on one post
3
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 36 most recent posts we hold for this entry, published 23 July 2026 to 21 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

21 Aug 2026, 15:44 UTC≈5,440 views101 reactions2 Starsread 22 August 2026
Photo

⚡️ Новая stealth-модель обгоняет Fable 5 и GPT-5.6 Sol на DeepSWE У неизвестной мультимодальной модели контекст на 1 млн токенов. OpenCode обещают почти безлимитное бесплатное использование до 27 августа. Бесплатно Ox Alpha доступна и через OpenRouter. Правда, там провайдер сохраняет запросы и ответы, но обещает не использовать их для обучения. Модель прогнали на 10 задачах DeepSWE: Ox Alpha набрала 80%, Fable 5 —

🔥49🤯28👍203🤩1

20 Aug 2026, 13:20 UTC≈7,470 views132 reactions1 Starread 22 August 2026
Photo

⚡️ Claude Code получил нативный аналог Caveman Anthropic добавили встроенный стиль Concise. Claude начинает с результата, пропускает предисловия и не расписывает детали, пока его об этом не попросят. По сути, это нативный аналог Caveman: скилла, который заставляет агента говорить как пещерный человек и экономить output-токены. Только теперь ничего устанавливать не нужно. Включается через /config → Output style → C

🔥69👍4215🤩3👏21

17 Aug 2026, 18:02 UTC≈9,660 views62 reactions1 Starread 22 August 2026
Video

⚡️ Cursor запустил Origin: конкурента GitHub для AI-агентов Мы уже писали о его анонсе, а теперь сервис начал публичное развёртывание в ранней бете. Доступ получают пользователи всех платных тарифов. На старте доступны репозитории, пул-реквесты, просмотр и поиск кода, а также синхронизация с GitHub. Создать репозиторий можно во вкладке Codebase, после чего Cursor покажет CLI-команды для клонирования или загрузки л

🔥34👍17🤯542

16 Aug 2026, 11:12 UTC≈10,200 views84 reactions1 Starread 22 August 2026
Photo

⚡️ GPT-5.6 Sol разогнали до 750 токенов в секунду OpenAI и Cerebras запустили ограниченное превью Ultrafast, нового режима GPT-5.6 Sol в API. Полная модель генерирует до 750 выходных токенов в секунду. Это до 14 раз быстрее Standard без перехода на уменьшённую модель. На всех 2500 вопросах Humanity's Last Exam Sol закончила работу за 11 часов 11 минут. Claude Fable 5 понадобилось 78 часов 27 минут при сопоставимой

🤯37🔥21👍13103

15 Aug 2026, 14:04 UTC≈8,620 views116 reactions2 Starsread 22 August 2026
Photo

⚡️ Qwen3.8-27B запускается локально и местами обходит Opus 4.6 Alibaba открыли веса Qwen3.8-27B. В одном из тестов на агентное программирование результат вырос более чем втрое по сравнению с Qwen3.6-27B. По совокупности тестов новинка оказалась сильнее даже предыдущей облачной Qwen3.7-Plus. В отдельных задачах по программированию она показывает результаты выше Opus 4.6, хотя всё ещё уступает некогда флагману в сло

🔥73👍2711🤩5

14 Aug 2026, 14:14 UTC≈8,420 views75 reactions1 Starread 22 August 2026
Photo

⚡️ Google выпустили Gemini 3.7 Flash Последнюю Pro-модель Google выпустили ещё 19 февраля. Зато с тех пор успели зарелизить уже три Flash подряд: 3.5, 3.6 и 3.7. По coding-бенчмаркам 3.7 Flash примерно на уровне GPT-5.6 Terra и в среднем немного лучше Sonnet 5. На DeepSWE — 65.3% против 69.6% у Terra и 53.8% у Sonnet, на FrontierCode уже обходит обе: 43.6% против 41.3% и 42.7%. До конца года стоимость $0.75/$3.75

🔥43👍2174

14 Aug 2026, 09:18 UTC≈8,660 views126 reactions1 Starread 22 August 2026
Photo

⚡️ DeepSeek поднимают цены на API до 12 раз С 16 августа DeepSeek вводят часы пик. В это время API будет стоить вдвое дороже, чем в остальные часы. Сами базовые цены тоже выросли. Генерация V4 Flash подорожает с $0,28 до $0,66–1,32 за миллион токенов, V4 Pro — с $0,87 до $1,98–3,96. Сильнее всего досталось кэшированному входу V4 Pro: вместо $0,003625 придётся платить $0,022 вне часов пик и $0,044 в часы пик. Это в

🤯93👍198🔥42

14 Aug 2026, 06:50 UTC≈9,880 views79 reactions1 Starread 22 August 2026
Photo

⚡️ Z.ai выпустили GLM-5.3: обошла Opus 4.8 на, но уступила Fable 5 и GPT-5.6 Sol Технически внутри та же GLM-5.2: без нового претрейна и архитектуры, просто ещё месяц RL на длинных инженерных задачах DeepSWE вырос с 46,2% до 66,9%, Terminal-Bench 3.0 с 4,6% до 28,3%. На Terminal-Bench 3.0 новинка обошла Kimi K3 и Opus 4.8, но не дотянула до Fable 5 и GPT-5.6 Sol. Начиная с GLM-5.2 команда проверяла реальные кодовы

🔥43👍227🤯52

13 Aug 2026, 18:52 UTC≈9,180 views74 reactions1 Starread 22 August 2026

Posted without readable text

👍41🔥209🤩4

13 Aug 2026, 11:15 UTC≈8,340 views160 reactions2 Starsread 22 August 2026
Photo

Ждём первый рэп-кодинг баттл 🤣

😁113🤣26👍135🔥3

13 Aug 2026, 07:44 UTC≈9,370 views98 reactions1 Starread 22 August 2026
Photo

⚡️ DeepSeek обновили V4 Pro Китайцы выкатили V4 Pro 0813: большое обновление апрельской Preview-версии модели, которое уже заменило старую модель в API. После нового пост-тренинга почти все агентные бенчмарки заметно выросли: Terminal Bench поднялся с 72,1 до 87,9, вплотную к Kimi K3 и Fable 5 и выше Opus 4.8. На DeepSWE результат вырос почти в пять раз: с 12,8 до 62,7. На бенчмарке от Code Arena новинка получила

👍45🔥281310🤯2

12 Aug 2026, 16:55 UTC≈7,820 views86 reactions3 Starsread 22 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

👍43🔥25🤯1152

Showing the 12 most recent of 36 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 — 56,794 of 1,583,249entries 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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“AI for Devs” (@ai_for_devs), 16,192 subscribers as measured 21 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.