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Channel

UpTech

@uptech_community

On this record: Topic · Growth · Engagement · Reactions · Posts · Polls · Cite this entry

35subscribers

+9 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1003702669303
TypeChannel
Username@uptech_community
CreatedBetween 1 February 2026 and 13 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live9 October 2026
Measurements held4
Confirmed unchanged2 times, most recently 9 October 2026
On Telegramt.me/uptech_community

Topic

Education — 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 30 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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

2535307 August 2026 — 26 subscribers11 August 2026 — 26 subscribers3 September 2026 — 25 subscribers29 September 2026 — 35 subscribers7 August 202629 September 2026
4 measurements spanning 53 days, net +9. 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 24–37 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Sept 2026, 16:0235+10
3 Sept 2026, 12:5725-1
11 Aug 2026, 08:3326no change
7 Aug 2026, 18:5126first reading

Engagement

14 posts held, back to 13 March 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 14 posts for this entry, the most recent from 19 May 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

67 reactions across 12 posts, in 8 distinct kinds. The most used accounts for 49.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3349.3%
❤‍🔥1725.4%
🔥68.96%
🌚57.46%
🥰34.48%
⚡11.49%
🎉11.49%
👍11.49%

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 12 of the 14 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 67 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 13 March 2026 to 19 May 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.

Recent posts

19 May 2026, 15:00 UTC38 views9 reactionsread 11 August 2026
Photo

Заняли 3 место по футболу

❤‍🔥5❤2⚡1🎉1

23 Apr 2026, 18:20 UTC68 views7 reactionsread 11 August 2026

1) Для активных и любознательных прикладываю: https://classroom.google.com/c/ODYwODY5MjkxMjY2?cjc=rwwoxnwd Если кому то интересно по анализировать, прикладывайте ноутубки на диск, я посмотрю и дам обратную связь. 2) Наш репозиторий, куда будут добавляться материалы с мастер классов, сессий и т.д. : https://github.com/UpTech-dev

❤4❤‍🔥1👍1🔥1

21 Apr 2026, 10:47 UTC156 views3 reactionsread 11 August 2026

23 апреля в 15.50 в аудитории 706 состоится наш следующий мастер-класс под названием «Анализ данных, визуализация и проверка гипотез на Python» 🚀 Его ведущий — Черкасов Борис. Тема встречи — EDA (исследовательский анализ данных). Что будет на мастер-классе: — загрузка данных и их первичная оценка; — поиск и обработка пропусков и выбросов; — визуализация данных с помощью Matplotlib / Seaborn; — группировки, агрегир…

❤3

8 Apr 2026, 09:58 UTC58 views4 reactionsread 11 August 2026
Photo

2 апреля состоялся следующий мастер-класс «Профориентация по Data Science и ML» Эта встреча стала продолжением нашей предыдущей лекции о том, как устроен IT-рынок и какие направления сегодня особенно востребованы. Мастер-класс провёл Усинов Мадияр. На мастер-классе подробнее разобрали: — что такое Data Science и Machine Learning 📊 — чем эти направления отличаются друг от друга 🔍 — какие навыки нужны для старта 💎 —…

❤4

7 Apr 2026, 17:00 UTC54 views7 reactionsread 11 August 2026
Photo

UpTech провёл свой первый мастер-класс 🚀 19 марта мы провели нашу первую встречу, посвящённую теме: «Профориентация. Как устроен IT-рынок и что востребовано?» Вместе с участниками мы поговорили о том: — как сегодня устроен IT-рынок 📈 — какие направления сейчас особенно востребованы 🙌 — чем отличаются Data Science, Machine Learning и Backend 💻 — какие навыки нужны, чтобы уверенно начать путь в IT 💪 На мастер-классе…

❤4❤‍🔥2🥰1

2 Apr 2026, 10:43 UTC58 viewsread 11 August 2026
Poll

Оцените, пожалуйста, мастер-класс «Профориентация по Data Science и ML”

  1. 5😍61%
  2. 4😌28%
  3. 3🙂11%
  4. 2😔0%
  5. 1😠0%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

2 Apr 2026, 09:20 UTC51 views4 reactionsread 11 August 2026

https://t.me/dissas28 По вопросам во время мастер-класса пишем мне, если стесняетесь

❤2🔥1🥰1

2 Apr 2026, 06:55 UTC44 views3 reactionsread 11 August 2026

Сегодня в 14.10 в аудитории 718 пройдет наш мастер-класс. Всех ждем😎😎😎

❤3

30 Mar 2026, 17:22 UTC658 views7 reactionsread 11 August 2026
Photo

Хочешь понять, что такое Data Science и Machine Learning, чем занимаются специалисты в этих направлениях и с чего начать путь в этой сфере? Тогда приглашаем на мастер-класс "Профориентация в сфере Data Science и ML" 🚀 На встрече разберём: — как устроено направление Data Science и ML📊; — какие навыки нужны для старта📚; — чем занимаются data scientist и ML-инженер на практике💻; — какие инструменты и технологии сегод…

❤‍🔥5❤1🔥1

20 Mar 2026, 11:56 UTC70 viewsread 11 August 2026
Poll

Проводить ли повторный мастер-класс?

  1. Да88%
  2. Нет13%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

20 Mar 2026, 11:54 UTC68 views6 reactionsread 11 August 2026

У нас к вам небольшой вопрос 👇 Не все смогли попасть на наш прошедший мастер-класс, поэтому хотим узнать ваше мнение: проводить ли нам повторный мастер-класс? Голосуйте в опросе ниже — нам важно понять, насколько это нужно для вас 📈

🌚5❤1

Showing the 12 most recent of 14 posts we hold for @uptech_community. 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 2 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.

2 Apr 2026, 10:43 UTCAnonymous Poll18 voters

Оцените, пожалуйста, мастер-класс «Профориентация по Data Science и ML”

  1. 5😍61%
  2. 4😌28%
  3. 3🙂11%
  4. 2😔0%
  5. 1😠0%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

20 Mar 2026, 11:56 UTCAnonymous Poll16 voters

Проводить ли повторный мастер-класс?

  1. Да88%
  2. Нет13%

Shares as published, totalling 101%. 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 14 most recent posts we hold, published 13 March 2026 to 19 May 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.

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 29 September 2026 — this entry's latest reading, not the date you are reading this.

“UpTech” (@uptech_community), 35 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/uptech_community.

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.