Это только начало... Волшебство моего тренинга раскрывается с каждым новым эпизодом...
🔥6👍1
Signed Ольга Калякина

Channel
@Olga_Kalyakina_AI
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
379subscribers
+9 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002503893552 |
|---|---|
| Type | Channel |
| Username | @Olga_Kalyakina_AI |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/Olga_Kalyakina_AI |
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 22 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 16:00 | 379 | +6 |
| 8 Sept 2026, 17:59 | 373 | -1 |
| 29 Aug 2026, 19:28 | 374 | +2 |
| 22 Aug 2026, 19:06 | 372 | +3 |
| 16 Aug 2026, 06:02 | 369 | -1 |
| 8 Aug 2026, 06:20 | 370 | no change |
| 7 Aug 2026, 17:15 | 370 | first reading |
17 posts held, back to 24 July 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 17 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
58 reactions across 15 posts, in 8 distinct kinds. The most used accounts for 53.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 31 | 53.4% | |
| 👍 | 15 | 25.9% | |
| ❤ | 6 | 10.3% | |
| 🥰 | 2 | 3.45% | |
| 🌚 | 1 | 1.72% | |
| 💯 | 1 | 1.72% | |
| 😁 | 1 | 1.72% | |
| 😍 | 1 | 1.72% |
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 15 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 58 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 24 July 2026 to 7 August 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.
Это только начало... Волшебство моего тренинга раскрывается с каждым новым эпизодом...
🔥6👍1
Signed Ольга Калякина
Так я изобразила,что происходит у меня на тренинге.
🔥3
Signed Ольга Калякина
🚀 Наконец-то дождалась. OpenAI выпустила большое обновление ChatGPT, и, если честно, я очень его ждала. Последнюю неделю GPT у меня периодически подтупливал. Особенно во время работы с изображениями: генерация шла дольше обычного, часто при создании каруселей делал коллаж вместо серии слайдов. Я ожидала обновления))) Сегодня OpenAI официально объявила, что обновила GPT-5.6 Sol в ChatGPT. Что изменилось: • модель…
🔥5🌚1
Signed Ольга Калякина
Для тех, кто вдруг не знает, Codex - это режим работы с кодом и не только в приложении ChatGPT. Сделала подробную инструкцию для него, как делать анализ конкурентов. Загрузите, протестируйте) Если что-то не поймет, пишите, вместе разберемся.
❤1🔥1
Signed Ольга Калякина
🔥 А вы знали, что анализировать конкурентов в Instagram можно вообще без отдельного платного сервиса? Я сейчас дала Codex задачу: взять одного блогера, собрать 30 рилсов, скачать их, транскрибировать речь, разобрать хуки, структуру, найти повторяющиеся паттерны и определить ДНК её формата. У меня к Codex подключён Apify, многим известный сервис для парсинга рилсов. Обычно через него он и собирает данные из Instagra…
❤1
Signed Ольга Калякина
Тестовое видео в новой мощнейшей Seedance 2.5 Я не делала особо никакого промта, тест заключался в: 1. Поддерживает русский? 2. Можно ли загрузить свой голос? Бл… по ходу можно 😍 Эта нейронка сейчас самая топовая, я создаю сериал свой в Seedance 2.0, а версия 2.5 уже может делать генерации до 30 сек! До 50 референсов загружать аудио, видео, фото! Вобщем.. Следующую серию, видимо, попробую в ней) P. S. Эта модель…
👍3
Signed Ольга Калякина
Я вообще редко об этом рассказываю, но кроме бесплатного тренинга у меня есть и платные продукты. Например, мастермайнд. Сейчас группа идёт уже 2 месяца, и ещё месяц впереди. И вот сейчас начинается, наверное, самый интересный период. Потому что в начале всегда много идей, планов, у кого-то сомнений, у кого-то вообще непонимание, а что получится. А через два месяца уже есть результаты, которые можно открыть, запу…
🔥2
Signed Ольга Калякина
Мой ты родной... 😂 Бот для учёта финансов. Теперь наполнять функционалом, настроить платежи, подать заявление в РКН по обработке персональных данных 🤪 и монетизировать
👍4🥰2🔥1
Signed Ольга Калякина
Вот такой отзыв получила от участницы тренинга, которой сегодня звонил мой ии-бот Антон с напоминанием про зум)
Signed Ольга Калякина
Оляяяя @Olga_Kalyakina1 какой у тебя классный Антон!!!!! Просто сказка! У меня на громкой связи было, девочка с работы офонарела
🔥1
Signed Ольга Калякина
А вы знали, что ии умеет смеяться и разные эмоции показывать голосом? Местами подтупливает, зато как красиво попрощался! 😍
👍6🔥3💯1
Signed Ольга Калякина
Мой Антоша передал мне, что меня похвалили 😁 А еще не прощается просто так, предлагает всем рекомендовать мой тренинг 🙏
🔥3👍1😁1
Signed Ольга Калякина
Showing the 12 most recent of 17 posts we hold for @Olga_Kalyakina_AI. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“⚡️ Действуй с Ольгой Калякиной” (@Olga_Kalyakina_AI), 379 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/Olga_Kalyakina_AI.
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.