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Channel

The Founder Академия AI

@thefoundator

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

1,041subscribers

-12 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002098663188
TypeChannel
Username@thefoundator
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live18 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/thefoundator

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 19 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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

1,0411,0531,0477 August 2026 — 1,053 subscribers8 August 2026 — 1,053 subscribers8 August 2026 — 1,052 subscribers11 August 2026 — 1,051 subscribers15 August 2026 — 1,050 subscribers18 August 2026 — 1,048 subscribers24 August 2026 — 1,047 subscribers30 August 2026 — 1,045 subscribers1 September 2026 — 1,044 subscribers10 September 2026 — 1,043 subscribers13 September 2026 — 1,042 subscribers18 September 2026 — 1,041 subscribers7 August 202618 September 2026
12 measurements spanning 41 days, net -12. 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 1,039–1,055 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 02:201,041-1
13 Sept 2026, 20:371,042-1
10 Sept 2026, 08:591,043-1
1 Sept 2026, 15:321,044-1
30 Aug 2026, 02:091,045-2
24 Aug 2026, 13:531,047-1
18 Aug 2026, 07:231,048-2
15 Aug 2026, 04:341,050-1
11 Aug 2026, 22:321,051-1
8 Aug 2026, 11:561,052-1
8 Aug 2026, 00:191,053no change
7 Aug 2026, 23:521,053first reading

Engagement

10 posts held, back to 23 September 2025the 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 10 posts for this entry, the most recent from 28 October 2025. An engagement rate over an empty window would be a number about nothing.

Reaction mix

115 reactions across 7 posts, in 10 distinct kinds. The most used accounts for 72.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8372.2%
🔥1412.2%
🤔54.35%
👏32.61%
💯32.61%
21.74%
🙏21.74%
10.87%
❤‍🔥10.87%
🆒10.87%

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 8 of the 10 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 115 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 23 September 2025 to 28 October 2025, 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

28 Oct 2025, 07:35 UTC≈1,580 views20 reactionsread 8 August 2026

🔄 Свежий кейс от студента Акадмии The Founder Как с нуля собрать систему распознавания автомобильных номеров (ANPR) — обучение и настройка YOLOv8 для детекции номеров; — создание собственного OCR для распознавания текста; — оптимизация модели с помощью INT8-квантизации; — и, конечно, тонкости практической реализации. 🔥 Результат — точность 98%+ и почти двукратное ускорение. Отличный пример того, как инженерный под

👍12🔥42❤‍🔥1🆒1

3 Oct 2025, 12:39 UTC≈1,530 views9 reactionsread 8 August 2026
Photo

🔧Как сломать ML-модель, даже не начав обучение? Легче, чем кажется 😉 Мы собрали 5️⃣критических ошибок в данных, которые: - дают “идеальные” метрики - но ломают продакшн - и чаще всего случаются до первой эпохи Смотри в карточках и проверь - ни один из этих багов не прячется в твоём пайплайне?

👍6🔥3

2 Oct 2025, 12:04 UTC≈1,010 views21 reactionsread 8 August 2026
Photo

❌ Label leakage: ошибка, которая делает вашу модель бесполезной Модель работает. Метрика отличная. Прод — в ноль. Добро пожаловать в один из самых подлых багов в ML — label leakage. Всё выглядит правильно, пока вы не поймёте: модель научилась предсказывать то, что уже знала. 🔍Что такое label leakage? Это когда таргет “просачивается” в фичи. Иногда напрямую. Иногда косвенно. Модель “узнаёт ответ” ещё до начала пре

👍21

30 Sept 2025, 08:05 UTC777 views9 reactionsread 8 August 2026
Photo

👉 7 проблем с данными, из-за которых ломаются ML-модели Новая неделя — новая правда о ML, которую редко говорят вслух. Слишком долго в центре внимания были модели: архитектура, loss, сравнение подходов. Но настоящие баги зарыты глубже — в данных. Вот 7 проблем, которые незаметно рушат ваш pipeline, даже если всё остальное сделано “по учебнику”: 🔢Пропуски — null, NaN, пустые строки, где их быть не должно 🔢Неправи

🤔5💯31

26 Sept 2025, 08:35 UTC894 views28 reactionsread 8 August 2026
Photo

👉 Джун → Мидл в ML: 5 шагов 🟢Чек-лист для тех, кто качает скилл В этой карусели — 5 фокусов, которые двигают вперёд Это не “уровни доступа”, а инженерные привычки, которые делают вас заметнее, сильнее, надёжнее в команде. 💬 Отправь тому, кто тоже растёт в ML

👍26🙏2

25 Sept 2025, 12:10 UTC908 viewsread 8 August 2026
Poll

📊 А как у вас с Cursor?

  1. Да, регулярно использую34%
  2. Иногда, под дедлайны26%
  3. Нет, принципиально руками23%
  4. Хочу программу курса “AI-архитектор”20%

The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

25 Sept 2025, 12:07 UTC908 views20 reactionsread 8 August 2026
Photo

🖥 «Кто делает ДЗ по ML в Cursor?» Многие студенты делают домашки по ML-курсам с помощью Cursor и мы это поддерживаем. Почему? Потому что инструмент ≠ обман, если вы используете его осознанно. Вот как делают профессионалы: 🧠 Фиксируют промпты в коде - чтобы потом анализировать генерации 🧼 Рефакторят вручную - разбираются, а не копируют 📄 Делают мини-разборы задач - фиксируют, что сработало, а что нет 🎯 Если вы уж

👍18🔥2

23 Sept 2025, 11:25 UTC657 views8 reactionsread 8 August 2026
Poll

❓Вопрос 3 В коробке 3 красных и 2 синих шара. Достаём 2 шара без возвращения. Какова вероятность, что оба красные?

  1. 30%35%
  2. 20%11%
  3. 40%31%
  4. 60%22%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

🔥5👏3

23 Sept 2025, 11:23 UTC686 viewsread 8 August 2026
Poll

❓ Вопрос 2 Бросаем честную монету 10 раз. Сколько в среднем выпадет орлов?

  1. 21%
  2. 66%
  3. 46%
  4. 588%

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

23 Sept 2025, 11:22 UTC707 views0 reactionsread 8 August 2026
Poll

❓ Вопрос 1 10 человек встретились. Каждый пожал руку каждому один раз. Сколько всего было рукопожатий?

  1. 406%
  2. 4540%
  3. 507%
  4. 9046%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

Showing the 10 most recent of 10 posts we hold for @thefoundator. 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 4 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.

25 Sept 2025, 12:10 UTCAnonymous Poll61 voters

📊 А как у вас с Cursor?

  1. Да, регулярно использую34%
  2. Иногда, под дедлайны26%
  3. Нет, принципиально руками23%
  4. Хочу программу курса “AI-архитектор”20%

The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

23 Sept 2025, 11:25 UTCAnonymous Quiz179 voters

❓Вопрос 3 В коробке 3 красных и 2 синих шара. Достаём 2 шара без возвращения. Какова вероятность, что оба красные?

  1. 30%35%
  2. 20%11%
  3. 40%31%
  4. 60%22%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

23 Sept 2025, 11:23 UTCAnonymous Quiz192 voters

❓ Вопрос 2 Бросаем честную монету 10 раз. Сколько в среднем выпадет орлов?

  1. 21%
  2. 66%
  3. 46%
  4. 588%

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

23 Sept 2025, 11:22 UTCAnonymous Quiz194 voters

❓ Вопрос 1 10 человек встретились. Каждый пожал руку каждому один раз. Сколько всего было рукопожатий?

  1. 406%
  2. 4540%
  3. 507%
  4. 9046%

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 10 most recent posts we hold, published 23 September 2025 to 28 October 2025. 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“The Founder Академия AI” (@thefoundator), 1,041 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/thefoundator.

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.