Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 15 October 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 the other topics.
Growth
5 measurements spanning 22 days, net +2. 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 53–56 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
20 Oct 2026, 02:57
55
-1
14 Oct 2026, 02:46
56
+1
4 Oct 2026, 22:42
55
+2
27 Sept 2026, 19:22
53
no change
27 Sept 2026, 18:47
53
first reading
Engagement
20 posts held, back to 10 February 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 20 posts for this entry, the most recent from 21 September 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 40s
Average length
25s
Measured directly from 4 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
121 reactions across 17 posts, in 9 distinct kinds. The most used accounts for 38.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
46
38.0%
👍
34
28.1%
❤
25
20.7%
🎉
6
4.96%
💯
3
2.48%
🥰
3
2.48%
🤗
2
1.65%
😁
1
0.826%
🤔
1
0.826%
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 18 of the 20 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 121 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 10 February 2026 to 21 September 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.
🎮 СОЗДАЁМ ИГРЫ В ROBLOX С НУЛЯ! 🎮
Онлайн курс для 2–5 и 6–11 классов
🚀 Первый урок — БЕСПЛАТНО
📅 1 октября в 20:00
👥 Мини-группа — 750 ₽/час
👤 Индивидуально — 1500 ₽/час
🕗 Занятие - 1 час
Своя игра — уже на старте 💪
Как записаться?
Сразу присоединиться в группу (присоединяемся кому куда удобно, информация дублируется в два канала):
Тг - https://t.me/+v-kUfu28oeswNzQy
Max - https://max.ru/join/pMkWKPdw8JIJQ2kvC6x…
📌 НАБОР В МИНИ-ГРУППУ: PYTHON ДЛЯ ШКОЛЬНИКОВ (2–11 КЛАССЫ)
Первый урок — БЕСПЛАТНО (8 сентября)
Здравствуйте! Меня зовут Андрей Бычков. Я помогаю детям сделать первый уверенный шаг в IT и освоить самый востребованный язык программирования.
👤 Немного обо мне:
Мне 21 год, я студент IT-направления и действующий специалист. Я сам недавно прошел путь от новичка до профи, поэтому знаю, как объяснять сложные вещи простым …
📢 Напоминание о старте курса «Python Углублёнка» + важная новость
Друзья, курс скоро стартует, но в связи с непредвиденной ситуацией набор решено продлить. 🚀
Это отличная новость для тех, кто ещё сомневался или не успел записаться!
🗓 Старт: 8 июня в 18:00
📅 Расписание: понедельник и пятница в 18:00
📍 Формат: мини-группа, онлайн
Переходите на новый уровень в Python — пока набор открыт!
Всем привет! Только что закрыл сессию — и знаете как? Последней пятёркой сегодняшнего дня! Все экзамены и зачёты сданы на максимальный балл 🎯
Это было настоящее испытание на прочность: операционные системы, код, теория — всё сразу. Но та методика, которой я делюсь на своих курсах (регулярность, вникание в суть, никакой зубрёжки, только практика), сработала на все 💯 Я не просто отстрелялся — я реально всё понял и зап…
📢 Напоминание о старте курса «Python Углублёнка»
Друзья, курс скоро стартует! 🚀
Если вы хотели перейти на новый уровень в Python — сейчас самое время записаться.
🗓 Старт: 1 июня в 20:00
📅 Расписание: понедельник и четверг в 20:00
📍 Формат: мини-группа, онлайн
Многие проходят основы Python, а дальше — ступор. Вроде и циклы знаешь, и функции, а написать телеграм-бота или разобраться с файлами — уже сложно.
Поэтому я собрал курс «Python Углублёнка» — ровно то, что нужно между «hello world» и реальными проектами.
Что изучим за этот курс:
📁 файлы: txt, csv, бинарные, shelve, pickle
🤖 основы для ботов и утилит
🧠 ООП — классы, конструкторы, наследование
🌀 генераторы, итератор…
Всех с 1 Мая! Пусть ваш труд будет в радость, а отдых — сладок как первый майский мёд. Желаю вам поменьше работать лопатой на даче (если не хочется) и побольше наслаждаться жизнью, птичками и свежим воздухом. Отличных вам выходных, вкусного обеда и просто хорошего настроения! ✨
Также создал канал в ВК:
1. Получать все новости и интересные посты
2. Прочитать подробности о курсах и записаться на них
3. Задать вопрос
https://vk.ru/codeyourdreams
Добрый вечер, в связи с блокировкой телеграмма, создал канал в ватсап!
Чтобы не потерять меня, переходите по ссылке: https://chat.whatsapp.com/BlnfwrAJwM63cO497bxYVZ
В дальнейшем все посты буду дублировать сразу в два канала!
Showing the 12 most recent of 20 posts we hold for @CodeYourDreams. 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.
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 10 February 2026 to 21 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
Named by 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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 20 October 2026 — this
entry's latest reading, not the date you are reading this.
“Кодируй мечты💡 | Онлайн обучение 💻 | Бычков Андрей” (@CodeYourDreams), 55 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/CodeYourDreams.
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.