Кто-то сделал приложение с рычагом, чтобы переключать модели прямо в Claude Code. via @milindlabs
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Channel
@kirilldobrelia
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Handles named that no longer answer · Cite this entry
1,481subscribers
-38 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1003950064725 |
|---|---|
| Type | Channel |
| Username | @kirilldobrelia |
| Created | Between 1 April 2026 and 3 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 October 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 11 October 2026 |
| On Telegram | t.me/kirilldobrelia |
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 17 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Oct 2026, 13:37 | 1,481 | -30 |
| 4 Oct 2026, 19:41 | 1,511 | -12 |
| 25 Sept 2026, 10:21 | 1,523 | -4 |
| 16 Sept 2026, 22:39 | 1,527 | +4 |
| 8 Sept 2026, 11:57 | 1,523 | -2 |
| 3 Sept 2026, 01:09 | 1,525 | +2 |
| 31 Aug 2026, 09:05 | 1,523 | -3 |
| 27 Aug 2026, 23:06 | 1,526 | +10 |
| 24 Aug 2026, 20:13 | 1,516 | -1 |
| 21 Aug 2026, 03:52 | 1,517 | +1 |
| 18 Aug 2026, 01:34 | 1,516 | -1 |
| 15 Aug 2026, 08:59 | 1,517 | -3 |
| 11 Aug 2026, 14:12 | 1,520 | +1 |
| 7 Aug 2026, 21:34 | 1,519 | no change |
| 7 Aug 2026, 19:15 | 1,519 | first reading |
17 posts held, back to 3 May 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 5 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 5 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.
202 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 43.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 88 | 43.6% | |
| ❤ | 78 | 38.6% | |
| 👍 | 30 | 14.9% | |
| 👎 | 3 | 1.49% | |
| 😁 | 2 | 0.99% | |
| ⚡ | 1 | 0.495% |
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 16 of the 17 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 202 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 3 May 2026 to 5 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.
Кто-то сделал приложение с рычагом, чтобы переключать модели прямо в Claude Code. via @milindlabs
🔥5😁2
Photo, posted without a caption
Я собрал визуальный стиль бренда через ChatGPT Не просто “сделай красивый логотип”, а полноценный процесс: как будто ты пришёл на мини-сессию к бренд-дизайнеру. В чём фишка метода: Вместо того чтобы просить ИИ сразу выдать результат, я попросил ChatGPT сначала провести меня через опросник: — кто мой проект и для кого — какое ощущение должен давать бренд — какие бренды нравятся визуально — какие цвета подходят, а …
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АПСКЕЙЛ ИЗОБРАЖЕНИЯ 1. Откройте Google Gemini Запустите Gemini на своём устройстве. 2. Загрузите изображение Выберите и загрузите изображение низкого качества. 3. Используйте промпт Скопируйте и вставьте промпт для улучшения изображения. 4. Получите результат Gemini обработает изображение и создаст чёткую, детализированную версию в 4K качестве.
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Video, posted without a caption
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/goal задаёт условие, при котором задача считается выполненной, и Claude Code работает круг за кругом, пока условие не выполнено. После каждого круга отдельная быстрая модель проверяет готово или продолжать.
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Гайд по тому как сделать 3D-скан помещения с телефона. Технология - Gaussian Splatting. Пайплайн из 3 шагов, занимает час. ШАГ 1 - Бесплатно: Scaniverse (Niantic), iOS + Android. Без водяных знаков, обработка прямо на телефоне. - Платно: Polycam, $17/мес. На iPhone Pro использует LiDAR (точнее геометрия), больше форматов экспорта. В Scaniverse выбираешь режим «Gaussian Splatting», обходишь объект, ждёшь обработк…
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File, posted without a caption
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Как из 2 фото сделать cinematic сцену с сюжетом Схема очень простая: Шаг 1. Загружаете 2 фото персонажей в GPT Images 2.0 и вставляете первый промпт. На выходе получаете scene sequence - готовую последовательность сцен. Шаг 2. Загружаете этот scene sequence + фото мужчины и женщины в Seedance 2.0 и вставляете второй промпт. Дальше модель оживляет сцены и собирает их в полноценное видео. Готовый ролик: https://www.…
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Photo, posted without a caption
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Забирайте промпт для AI-разбора стиля по фото. Просто добавляете селфи - и получаете красивую карту с рекомендациями по образу.
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Video, posted without a caption
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Showing the 12 most recent of 17 posts we hold for @kirilldobrelia. 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.
@kirilldobrelia named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 11 October 2026 — this entry's latest reading, not the date you are reading this.
“Кирилл Добреля - AI & Business” (@kirilldobrelia), 1,481 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/kirilldobrelia.
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.