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Channel

AiHub ✨ Приручаем ИИ | Вайб-кодинг | Ai-first development

@AiHubFeed

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

729subscribers

+19 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003091706822
TypeChannel
Username@AiHubFeed
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 held3
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/AiHubFeed

Growth

710729719.56 August 2026 — 710 subscribers6 August 2026 — 710 subscribers12 August 2026 — 729 subscribers6 August 202612 August 2026
3 measurements spanning 6 days, net +19. 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 707–732 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 13:17729+19
6 Aug 2026, 16:36710no change
6 Aug 2026, 04:33710first reading

Engagement

15 posts held, back to 12 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
91.7%
avg views ÷ 729 subscribers
Avg views / post
668
13 posts measured
Reaction rate
1.58%
reactions ÷ views · ER floor
Posts in window
13
of 15 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 31 July 2026
Posts held15 (12 July 202631 July 2026)
Views total8,687
Reactions total137
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 16:36 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.

Reaction mix

155 reactions across 15 posts, in 7 distinct kinds. The most used accounts for 34.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍5334.2%
🔥4529.0%
2516.1%
😁2314.8%
👏63.87%
💯21.29%
🏆10.645%

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 15 of the 15 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 155reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 12 July 2026 to 31 July 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
9
across the posts below
Posts paid on
2
of 15 we hold a reading for · 13%
Most on one post
8
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AiHubFeed. 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 15 most recent posts we hold for this entry, published 12 July 2026 to 31 July 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

31 Jul 2026, 07:32 UTC152 views3 reactionsread 6 August 2026
Forwarded from @countwithsashaPhoto

Туту проводит хакатон: хороший способ познакомиться с командой Помните я рассказывал, что запустили MCP для сервиса путешествий Туту. Самый популярный запрос в личку по итогам анонса был про то, как я нашел проект и договорился с командой. Ответ простой, команду я уже знал, прототип приготовил за вечер. Сделал демо, оно зашло. Вчера Туту анонсировали хакатон с призами: https://hackathon2026.tutu.ru Призы символиче

3

29 Jul 2026, 12:20 UTC335 views9 reactionsread 6 August 2026

OpenAI выпустили Codex Security CLI и SDK, которые гоняют агента по твоему репозиторию и ищут уязвимости, как security-ревьюер, только автоматический. Уже бегу встраивать в рабочий процесс. Что и зачем npx codex-security scan /path/to/repo и он ранжирует код, разбирает файлы, ищет проблемы и цепочки атак. Можно повесить git-хуком на коммит - блокирует, если находит критичное. Можно скормить весь список репозитор

👍5🔥3👏1

28 Jul 2026, 09:02 UTC421 views20 reactions1 Starread 6 August 2026
Photo

AI разработка web проектов без велосипедов Делаю AI-агентов и различные веб-проекты, заметил закономерность: модель охотно лепит самописы там, где давно есть готовые популярные решения. Next/React она знает отлично, но как доходит до инфраструктуры вокруг, хочется заругаться (когда ты всё проглядел а оно уже собрано). Прошёлся по стеку своих проектов и собрал список того, что стоит брать сразу, включая пару вещей, к

🔥14👍2👏2😁2

26 Jul 2026, 23:34 UTC413 views15 reactionsread 6 August 2026

Ну что, вайбкодеры, залетаем на мини-курс от Яндекс по построению безопасных агентов (сертификат прилагается, в том числе на английском языке) Интенсив будет интересен разработчикам, AI‑ и Dev(Sec)Ops‑инженерам, техлидам и архитекторам, студентам технических вузов и тем, кому важно понимать риски и уметь проектировать надёжные агентные системы Для практических заданий пригодятся навыки вайб‑кодинга: умение формулир

👍7🔥42🏆1👏1

24 Jul 2026, 20:51 UTC407 views7 reactionsread 6 August 2026
Photo

Как промптить под новый Opus 5 Разобрался в свежих гайдах Anthropic, сделал себе выжимку основного, на что стоит обратить внимание. Вооружаемся знаниями, чтобы вкат в новую модельку прошёл максимально комфортно. Модель заточена под сложные агентные и корпоративные задачи, особенно длинные цепочки действий. Старые промпты под 4.8 в целом работают, но есть моменты, которые стоит подправить. Ответы стали длиннее. Пар

4🔥2👏1

24 Jul 2026, 17:49 UTC396 views8 reactionsread 6 August 2026
Photo

Штош, Claude Opus 5 вышел, уже доступен везде, в том числе Cli Не забудьте обновиться, он появится в версии v2.1.219 claude update Если вдруг кто забыл. Цены те же, что и на OPUS 4.8. Ожидания самые положительные, этим летом Claude радует чуть больше, чем GPT в новых версиях. Один большой минус - после рабочей недели лимиты подошли практически к концу, на выходные развлечься с новой моделькой особо не получится.

🔥52👏1

24 Jul 2026, 08:38 UTC344 views4 reactionsread 6 August 2026
Forwarded from @countwithsashaPhoto

Маркетплейсы, склады и причем тут вайбкодеры На этой неделе меня как как и всех каснулась новость про склады маркетплейсов, есть жертвы, множество потрадавших сотрудников, убытки предпринимателей на миллионы рублей. Ситуация неприятная жалко пострадавших. Среди моих знакомых есть предприниматели, которые потеряли внушительные суммы в товарах. Они же спрашивают про разработку интернет-магазинов, ищут как диверсифи

👍4

20 Jul 2026, 07:23 UTC≈1,040 views13 reactionsread 6 August 2026
File

Глубокое понимание ИИ-агента: принципы проектирования и инженерные практики Книга посвящена основной формуле Agent = LLM + контекст + инструменты. Краткий обзор содержания книги (главы 1-10): 1️⃣ Базовые знания об агенте. Сформулируйте основную формулу: Agent = LLM + Контекст + инструмент и внедрите инженерные разработки - все инженерные возможности, кроме модели, являются реальной конкурентоспособностью. 2️⃣ Раз

👍6🔥43

19 Jul 2026, 20:15 UTC≈2,990 views15 reactions8 Starsread 6 August 2026

Posted without readable text

👍86🔥1

18 Jul 2026, 13:22 UTC564 views9 reactionsread 6 August 2026
Photo

Подписка Google AI Pro 18 месяцев за 200-300 рублей. 🛍 Оказывается, Яндекс маркет во всю промышляет уже продажей подписок за гроши. И вот под руку попалось предложение за 317 рублей (если оплатить картой яндекс и применить промокод 6DSBM67P) вот на этом предложении: ❣️ Ссылка на товар в маркете Оплатил, на почту пришла ссылка, перешел по ней, активировалось сразу, на РФ аккаунт, никаких движений с моей стороны не

👍7🔥2

17 Jul 2026, 08:02 UTC489 views8 reactionsread 6 August 2026
Forwarded from @aimastersmePhoto

Kimi K3 - первые впечатления Wow! За 5 часов новая модель смогла клонировать функционал MacOS 27 с Liquid Glass дизайном. Это впечатляет. Даже сафари, музыка и шахматы открываются. Рекомендую потыкать https://macos27.kimi.page/ Для сравнения, вот результат GPT Sol на такой же задаче - работал чуть менее 1 часа: https://macos-27-liquid-glass.max140936.chatgpt.site/ Ждём 27 июля открытые веса - появится на подписка

🔥52👍1

16 Jul 2026, 11:22 UTC615 views8 reactionsread 6 August 2026

OpenAI начал шифровать переписку между агентами в Codex 🚨 Codex CLI теперь прячет инструкции, которые родительский агент кидает сабагентам. Раньше все промпты лежали в локальной сессии открытым текстом, зашёл в логи и видишь кто кому что делегировал. Теперь там только encrypted_content, а обычное поле content пустое. Расшифровывает всё Responses API на своей стороне, ключи только у OpenAI. Катят это тихо с 5 июня

👍5😁3

Showing the 12 most recent of 15 posts we hold for @AiHubFeed. 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 — 236,922 of 1,189,255entries 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.

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 4 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.

“AiHub ✨ Приручаем ИИ | Вайб-кодинг | Ai-first development” (@AiHubFeed), 729 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/AiHubFeed.

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.