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 29 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.
Growth
3 measurements spanning 29 days, net -1. 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 47–48 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Sept 2026, 15:17
47
-1
10 Aug 2026, 13:18
48
no change
7 Aug 2026, 17:48
48
first reading
Engagement
17 posts held, back to 30 November 2025 — 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 13 March 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 59s
Average length
1m 00s
Measured directly from 2 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
92 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 54.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
50
54.3%
👍
24
26.1%
❤
15
16.3%
❤🔥
2
2.17%
🤣
1
1.09%
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 14 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 92 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 30 November 2025 to 13 March 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
17
across the posts below
Posts paid on
9
of 15 we hold a reading for · 60%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @make_mentor. 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 17 most recent posts we hold for this entry, published 30 November 2025 to 13 March 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.
⚡️ У кого есть подписка Cursor — самое время смотреть в сторону Cloud Agents
Cursor недавно выкатил Cloud Agents — по сути это способ запускать агентскую работу в облаке, а не держать всё только локально.
И важный момент: сейчас Cloud Agents можно использовать бесплатно в рамках подписки Cursor
Почему я бы обратил внимание именно сейчас:
• это уже не игрушка, а реально рабочий инструмент
• можно быстрее гонять за…
🚀 Codex теперь на Windows
OpenAI выпустила отдельное приложение Codex для Windows— теперь его можно скачать, установить и сразу использовать в работе.
Без лишней возни: поставил — и работаешь.
Что важно:
• это отдельное приложение, а не просто функция “где-то внутри”
• у подписчиков ChatGPT довольно богатые лимиты
• есть возможность подключиться по токену
• доступна топовая модель GPT-5.4
Почему это интересно:
Co…
🔥 Codex – OpenAI в Cursor за 2 минуты
Я записал для вас короткое пошаговое видео, как поставить Codex OpenAI в Cursor и сразу начать писать код.
В вашем распоряжении свежая GPT‑5.3‑Codex — мощная кодовая модель с прокачанным reasoning и большими лимитами по токенам.
#codex #openai #cursor #gpt5 #vibecoding
🔥 Токены в Cursor на нуле? Bonsai спасает!
Подключил Bonsai (trybons.ai) к Cursor через плагин Claude Code. Топовые модели без лимитов. Инструкция в первом комментарии под этим постом.
⚙️ Что даёт Bonsai
Бесплатный stealth-API для кодеров. Один ключ — доступ ко всем frontier-моделям.
🤖 Модели на борту
• anthropic/claude-sonnet-4.5
• anthropic/claude-opus-4
• openai/gpt-5.1-codex
• z-ai/glm-4.6
🚀 Готово за минуту
…
🚀 Автоперепост Telegram → MAX за 10 минут
Часто вижу вопрос в чатах, как я автоматически отправляю посты из канала в MAX, без копипаста и скачивания картинок руками.
🔍 Как это работает
- Создаю отдельного бота в Telegram и добавляю его админом в канал, чтобы он видел все посты.
- В Make настраиваю простой сценарий: как только в канале появляется новое сообщение, оно улетает в MAX.
- Если в посте есть медиа, она тож…
🚀 Cursor отваливается? Ставьте SpecStory
Чат падает, контекст теряется? Плагин SpecStory сохраняет все сессии Cursor в .specstory/history/ как Markdown и дублирует их в облако.
🔍 Что делает
- Все чаты, промпты, дифы уходят в файлы рядом с кодом.
- История решений живёт в репо и коммитится в Git.
- Контекст можно поднять даже после краша или перелогина.
📥 Как завести SpecStory + Cloud
1. Регистрируешься на сервисе …
🚀 Cursor добавил онлайн-трекер расходов кредитов
Кто не видел — теперь в Cursor есть дашборд для отслеживания использования кредитов в реальном времени.
#cursor #pro #agents #api
🚀 ИИ уже пишет 100% кода — инженеры из Anthropic и OpenAI подтвердили
Индустрия разработки ускорилась настолько, что сами разработчики перестают писать код.
👨💻 Борис Черный, руководитель Claude Code в Anthropic, признался:
“Больше двух месяцев я не написал ни строчки вручную — всё делает Claude.
Вчера я отправил 22 пулл-реквеста, позавчера 27 — и каждый сгенерирован ИИ.”
💡 Внутри Anthropic доля кода, созданного …
Поймал для вас свежую подборку: новые инструменты/репозитории под Cursor Skills — можно прям брать и прокачивать свои промпты/агентов без лишней самодеятельности.
🧩 UI UX Pro Max Skill
Набор скиллов под UI/UX-задачи: формулировки, сценарии, логика работы с макетами и интерфейсными решениями.
https://github.com/nextlevelbuilder/ui-ux-pro-max-skill
⚡️ Superpowers
«Суперсилы» для повседневной разработки: удобные загот…
✅ На Beget появился сервер Казахстан. Торопитесь арендовать
👉🏻 [Жми сюда](https://cp.beget.com/cloud/servers/create)
Showing the 12 most recent of 17 posts we hold for @make_mentor. 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.
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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“Автоматизатор” (@make_mentor), 47 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/make_mentor.
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.