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 20 September 2026 and assigned it the closest of 31 fixed categories, at 69% 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
7 measurements spanning 56 days, net -6. 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 705–718 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
2 Oct 2026, 13:21
710
+4
17 Sept 2026, 04:00
706
-4
9 Sept 2026, 11:36
710
+3
31 Aug 2026, 00:07
707
-4
16 Aug 2026, 21:07
711
-5
8 Aug 2026, 02:16
716
no change
7 Aug 2026, 13:59
716
first reading
Engagement
20 posts held, back to 18 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 15 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 22s
Average length
1m 22s
Measured directly from 1 video 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
424 reactions across 20 posts, in 28 distinct kinds. The most used accounts for 23.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
100
23.6%
👎
100
23.6%
🔥
52
12.3%
👍
28
6.60%
💩
23
5.42%
🤡
21
4.95%
🤨
14
3.30%
🖕
11
2.59%
😱
10
2.36%
😁
9
2.12%
🤮
9
2.12%
🥴
9
2.12%
🥰
5
1.18%
❤🔥
4
0.943%
👨💻
4
0.943%
👌
3
0.708%
😎
3
0.708%
😨
3
0.708%
🍌
2
0.472%
👀
2
0.472%
8 further kinds
12
2.83%
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 20 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 424 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 18 February 2026 to 15 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
1
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @myprepod. 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 20 most recent posts we hold for this entry, published 18 February 2026 to 15 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.
‼️‼️‼️Осторожно мошенники
Обнаружил несколько ботов в тг с названием myprepod
Они там просят телефон указать для якобы подтверждения, что вы не бот
Потом просят ввести код из смс
Только вот смс приходит от max.ru (мессенджер мах)
Я не эксперт в кибербезе, но это похоже на кражу доступа к аккаунтам
Не ведитесь на разводку. У Myprepod нет никаких ботов нигде. Продукт существует только в виде сайта.
Попробую добиться…
Обновления на Майпрепод
1. Добавили возможность предложить фото на страницу преподавателя, если там нет фото
2. Добавили новые ВУЗы:
🎓 Санкт-Петербургский государственный университет
💊Санкт-Петербургский государственный педиатрический медицинский университет
⚛️️МФТИ
⚙️️МГТУ им. Н.Э. Баумана
🎓Уральский федеральный университет имени первого Президента России Б.Н. Ельцина
🌋Санкт-Петербургский горный университет императ…
Исторический момент
Отдали 5 первых аккаунтов преподавателей, скоро увидим их ответы под вашими отзывами
Думаю дальше все легче и легче пойдет
Потому что контроль над своей страницей сейчас дает только возможность отвечать на отзывы от своего имени
Но в планах еще:
– блок О себе, куда можно указать свои достижения, научные публикации и тд.
– замена фото
– приоритетное рассмотрение жалоб на накрутки рейтинга (вниз)…
Ответы преподавателей
🥳 Запустили возможность для преподавателей отвечать на комментарии на своей странице.
Если вы преподаватель и хотите отвечать на комментарии от своего имени –
напишите на [email protected]
тема: Верификация
текст: <ссылка на вашу страницу на myprepod>
Историческое событие
Мы обработали все 130 тыс комментариев, которые были накоплены с 2017 года
ИИшка удалила комменты без содержания, отредактировала комменты с запрещенным содержанием
Визуально, если погулять по страницам, то как будто все как было. Но можно заметить, что откровенной грязи больше нет
Тебя не удалят из App Store, если тебя там нет 😂
Когда в 2017 году мы приняли решение делать упор на web-версию, даже не думал, что однажды это станет таким плюсом. Ни разу не пожалел.
Тем временем мы запустили ИИ-очистку 130 тысяч старых комментариев. Через пару дней обработка завершится, и мы разом их обновим на сайте.
Выше видел негативную реакцию на модерацию. Но если после обработки найдёте свои старые коммент…
ИИ модерация работает во всю
В новых ВУЗах мы не видим оскорблений и даже мата в комментах. При этом возможность содержательной критики сохранилась
Очень скоро мы запустим в ИИ обработку все комменты накопленные за 8 лет проекта
Если комменты содержат оскорбления (или какую-то жесть) – чат-гпт 4о мини вырежет именно запрещенку, но постарается сохранить суть
Также почистится весь спам и флуд
Сегодня заработала ИИ-модерация на gpt4o-mini
Пока настроили ее только на новые появляющиеся комменты.
Проверка срабатывает сразу в момент публикации, если все ок – публикуется, если ИИшка что-то нашла – коммент не публикуется с указанием причины.
Есть подозрение, что она может слишком жестко модерировать. Сегодня-завтра посмотрим, до конца недели откалибруем.
у нас есть страница, на которой мы тестируем разные вещ…
На этой неделе планируется запуск ИИ-модерации комментариев. Будет срабатывать сразу, как только нажимаешь "опубликовать". Фактически это риал-тайм премодерация. Автор комментария сразу увидит вердикт системы: прошло / не прошло проверку.
Далее запустим обработку всех накопленных годами комментариев.
Мы там выкатили новый Майпрепод
https://myprepod.ru
можете потестить
сейчас активно дорабатываем
на неделе будет официальный анонс
❤16👎8👍6👨💻4😎2
Showing the 12 most recent of 20 posts we hold for @myprepod. 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.
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.
Shares as published. 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 18 February 2026 to 15 July 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 2 October 2026 — this
entry's latest reading, not the date you are reading this.
“Myprepod live” (@myprepod), 710 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/myprepod.
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.