Channel
@htlab1
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
1,659subscribers
-20 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001267868964 |
|---|---|
| Type | Channel |
| Username | @htlab1 |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 October 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 14 October 2026 |
| On Telegram | t.me/htlab1 |
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 85% 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 |
|---|---|---|
| 14 Oct 2026, 00:34 | 1,659 | -1 |
| 9 Oct 2026, 05:39 | 1,660 | -1 |
| 2 Oct 2026, 13:20 | 1,661 | -5 |
| 16 Sept 2026, 23:18 | 1,666 | +2 |
| 8 Sept 2026, 10:19 | 1,664 | -3 |
| 2 Sept 2026, 21:55 | 1,667 | -1 |
| 30 Aug 2026, 15:24 | 1,668 | +2 |
| 27 Aug 2026, 08:24 | 1,666 | -2 |
| 24 Aug 2026, 07:52 | 1,668 | +1 |
| 20 Aug 2026, 14:47 | 1,667 | -2 |
| 17 Aug 2026, 14:58 | 1,669 | -3 |
| 14 Aug 2026, 16:24 | 1,672 | -5 |
| 11 Aug 2026, 01:55 | 1,677 | -2 |
| 7 Aug 2026, 21:02 | 1,679 | no change |
| 7 Aug 2026, 19:14 | 1,679 | first reading |
6 posts held, back to 28 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 6 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
40 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 20 | 50.0% | |
| 🔥 | 14 | 35.0% | |
| ❤ | 2 | 5.00% | |
| 👌 | 2 | 5.00% | |
| 🙏 | 1 | 2.50% | |
| 🤗 | 1 | 2.50% |
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 6 of the 6 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 40 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 28 July 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.
📱 Иногда проблема управленческой команды не в компетентности и не в мотивации. Руководители могут быть опытными и вовлечёнными, но компания всё равно не движется вперёд Вместе с Анной Михмель, руководителем отдела оценки, консалтинга и обучения, разбираем кейс крупной компании из сферы ритейла. Генеральный директор хотел понять, почему управленческая команда остаётся слишком консервативной и не помогает бизнесу адап…
👍4👌1🔥1
📍 Обновлённый «LeaderChart» — навигатор по управленческому развитию Мы пересобрали #тест: обновили модель расчёта потенциала, добавили карьерные треки, управленческие компетенции и стили менеджмента по модели Адизеса. А ещё полностью переработали отчёты — современный дизайн, удобная структура, понятные данные. В карусели — главные изменения в формате «Было — Стало». Листайте, смотрите, примеряйте на свои задачи. …
👍5🔥3❤2
Руководитель хочет инициативных сотрудников, но продолжает контролировать каждый их шаг. В новой рецензии Екатерина Воскресенская, специалист по обучению и развитию персонала, разбирает книгу Джона Уитмора «Коучинг: Основные принципы и практики коучинга и лидерства» — классическую работу о том, как коучинговый подход помогает развивать самостоятельность сотрудников и менять стиль управления. 📖 Внутри — разбор модел…
👍2🔥2🤗1
Модель компетенций есть. Почему она не работает? Знакомая ситуация: документ есть, сотрудники не понимают, зачем он нужен, а бизнес не видит связи с реальными результатами. Частые ошибки: ❌ модель разрабатывают без участия бизнеса и сотрудников; ❌ компетенции описаны слишком абстрактно или, наоборот, требуют «идеального сотрудника»; ❌ модель не связана с KPI, карьерой или мотивацией; ❌ руководители не получают инс…
🔥3👍2🙏1
Продолжаем делиться записями конференции «Будь готов, всегда готов!». В этой секции говорим о комплексной оценке персонала и о том, как сделать кадровые решения более обоснованными. В видео: ✅ Почему компании продолжают использовать субъективные методы оценки и что мешает перейти к объективным данным. ✅ Как оценить не только профессиональный опыт сотрудника, но и его мотивацию, интеллект, личностные особенности и по…
👍2🔥2👌1
❗️❗️❗️Два кандидата могут одинаково хорошо пройти интервью, иметь релевантный опыт и сильные рекомендации. Но именно после выхода на работу становится понятно, кто впишется в команду и сможет приносить результат. В карусели — кейс «Ритейл Персонал»: как оценка soft skills помогает снизить риск ошибки найма. И почему 88% кандидатов, отобранных с помощью теста «Бизнес-Профиль», успешно проходят испытательный срок. 👉 …
👍5🔥3
Showing the 6 most recent of 6 posts we hold for @htlab1. 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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 14 October 2026 — this entry's latest reading, not the date you are reading this.
“HT Lab | Лаборатория Гуманитарные Технологии” (@htlab1), 1,659 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/htlab1.
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.