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 17 September 2026 and assigned it the closest of 31 fixed categories, at 50% 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
12 measurements spanning 41 days, net -21. 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 1,412–1,445 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 07:19
1,416
-1
9 Sept 2026, 02:41
1,417
-5
3 Sept 2026, 16:37
1,422
-3
31 Aug 2026, 07:24
1,425
-6
28 Aug 2026, 09:02
1,431
-5
24 Aug 2026, 22:15
1,436
-5
21 Aug 2026, 02:36
1,441
+1
15 Aug 2026, 02:28
1,440
+1
11 Aug 2026, 15:03
1,439
+1
8 Aug 2026, 12:44
1,438
+1
7 Aug 2026, 22:02
1,437
no change
7 Aug 2026, 18:19
1,437
first reading
Engagement
16 posts held, back to 23 June 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 16 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
144 reactions across 14 posts, in 11 distinct kinds. The most used accounts for 47.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
68
47.2%
👍
26
18.1%
🔥
25
17.4%
💯
5
3.47%
🙏
5
3.47%
🎉
4
2.78%
👏
4
2.78%
🤝
3
2.08%
👌
2
1.39%
✍
1
0.694%
🥰
1
0.694%
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 14 of the 16 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 144 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 23 June 2026 to 6 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.
Telegram Stars
Stars received
1,000
across the posts below
Posts paid on
1
of 16 we hold a reading for · 6%
Most on one post
1,000
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @career_olga_koneva. 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 16 most recent posts we hold for this entry, published 23 June 2026 to 6 August 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.
Сегодня хочу поделиться своим осознанным уходом из найма.
После ухода из Xored, где я проработала около 12 лет, я писала, что вижу для себя разные сценарии развития. И, честно признаюсь, найм не был моим главным приоритетом, но и полностью закрывать эту возможность я не стала.
Активного поиска у меня не было. Статистика получилась следующей:
📌4 отклика
📌3 коммуникации
📌2 собеседования
📌1 оффер – вполне адекватный …
На прошлой неделе у меня произошло два события:
1️⃣ Я закончила обучение по карьерному коучингу 🥳
2️⃣ Я завершила работу в компании, куда вышла чуть меньше 3 месяцев назад.
По первому пункту – принимаю поздравления!
По второму – принимаю самые разные реакции. Топ-3 наиболее популярных собрала на скриншотах 🙈😁
А какая реакция больше всего отзывается вам? ⬇️
Одна из тем, которую мы разбираем на обучении по карьерному коучингу, была посвящена сильным сторонам. Да, у нас вновь рубрика #коучинг_ольга
Что же такое сильные стороны? Простыми словами, это сочетание способностей, мотивации и удовольствия от действия. Главный маркер – они дают энергию, а не забирают её.
Зачем опираться на сильные стороны в карьере? Исследования подтверждают, что люди, которые осознают и использ…
Практически на любом собеседовании нанимающий менеджер или рекрутер в конце задает классический вопрос: «Есть ли у вас вопросы к нам?». И колоссальное количество кандидатов отвечают, что вопросов нет. А зря 🤷♀️
Я искренне призываю вас всегда задавать встречные вопросы. И вот несколько причин это сделать:
1️⃣ Это ваш шанс понять, совпадает ли реальность в компании с тем, чего хотите лично вы.
❤️ Хорошие вопросы пок…
The shares total 172%, 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.
Делюсь моим результатом «теста на профориентацию» примерно из 1999 года (3 класс) 😂 Перспективы, как видите, были головокружительные! Рада, что в итоге я сузила этот список до HR-сферы и не прогадала 🥰
P.S. В комментариях оставлю ещё одно найденное сочинение из архивов, где делюсь своим видением того, кем я стану, когда вырасту 🙈
Я искренне убеждена, что правильный настрой – это уже половина успеха на собеседовании. Сегодня хочу поделиться фишками, как этот настрой поймать и удержать 🙂
5 советов по психологической подготовке к интервью:
1️⃣ Снижайте ценность конкретного оффера. Как только появляется навязчивая мысль, что “мне надо обязательно попасть именно в компанию Х”, может появиться и парализующий страх ошибиться. Постарайтесь отпустит…
Ну что же, перейдем ко второму посту из нашего опроса) Сегодня поговорим про адаптацию на новом месте 🤓
Сегодняшний пост я хочу разделить на две части – разберем типичные ошибки новичков и список вещей, в которых стоит разобраться ещё до старта (или в первую неделю).
ТОП-6 ошибок, которые мы совершаем на старте 🙅♀️
1️⃣Пытаемся ехать по старым рельсам. Частая ошибка – на автомате предполагать, что факторы успеха з…
Итоги июня – что вы читали чаще всего
По традиции делюсь дайджестом самых популярных материалов месяца. Если что-то пропустили – сейчас самое время сохранить в избранное, чтобы вернуться в спокойной обстановке.
О карьере и поиске работы:
❤️ Подборка вакансий и стажировок – где искать начинающим. Судя по количеству репостов, тема максимально актуальна)
❤️ Сопроводительные письма – зачем они нужны и как их писать, ч…
Ну что же, по результатам голосования вижу, что тема анализа работодателей для вас сейчас наиболее интересна 🙂 Спасибо за вашу активность!
Итак, зачем тратить на это время?
1️⃣ Для себя. Понять, подходит ли вам работодатель.
2️⃣ Для компании. Показать, что вы пришли осознанно, а не просто веерно рассылали резюме.
3️⃣Для диалога. Задать умные вопросы и красиво «продать» себя через понимание их контекста.
Какую инфо…
❤7🔥2👍1
Showing the 12 most recent of 16 posts we hold for @career_olga_koneva. 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 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.
The shares total 172%, 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.
Ошибки, которые часто делают на новом месте работы.50%
Анализ компаний: зачем собирать информацию и как это делать.50%
The shares total 138%, 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.
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 16 most recent posts we hold, published 23 June 2026 to 6 August 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Займёмся карьерой | Ольга Конева” (@career_olga_koneva), 1,416 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/career_olga_koneva.
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.