Channel
@skillbox_uz
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,139subscribers
-6 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001518723706 |
|---|---|
| Type | Channel |
| Username | @skillbox_uz |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/skillbox_uz |
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 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.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @skillbox_by/44459 Apr 2026, 16:08 UTC | @skillbox_uz/3505 · this entry9 Apr 2026, 16:10 UTC | 1.00 | 72 seconds |
| @skillbox_by/445116 Apr 2026, 12:08 UTC | @skillbox_uz/3512 · this entry16 Apr 2026, 12:09 UTC | 1.00 | 72 seconds |
| @skillbox_by/445217 Apr 2026, 10:58 UTC | @skillbox_uz/3513 · this entry17 Apr 2026, 10:58 UTC | 1.00 | under a minute |
| @skillbox_by/445419 Apr 2026, 11:15 UTC | @skillbox_uz/3514 · this entry19 Apr 2026, 11:23 UTC | 1.00 | 8 minutes |
| @skillbox_by/44561 May 2026, 17:11 UTC | @skillbox_uz/3515 · this entry1 May 2026, 17:11 UTC | 1.00 | under a minute |
| @skillbox_by/44573 May 2026, 11:53 UTC | @skillbox_uz/3516 · this entry3 May 2026, 11:54 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @skillbox_by | 13 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @skillbox_by (12–1) |
| @skillbox_kz | 13 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @skillbox_kz (12–1) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 24 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 13 comparable posts for this entry, running 9 April 2026 to 17 May 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 3, the earliest publisher we hold is @skillbox_by. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 09:34 | 1,139 | -3 |
| 9 Aug 2026, 15:14 | 1,142 | -2 |
| 6 Aug 2026, 14:40 | 1,144 | -1 |
| 6 Aug 2026, 09:35 | 1,145 | no change |
| 5 Aug 2026, 22:30 | 1,145 | first reading |
13 posts held, back to 9 April 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 pageof 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 13 posts for this entry, the most recent from 17 May 2026. An engagement rate over an empty window would be a number about nothing.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 13 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 9 April 2026 to 17 May 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.
Сегодня — тот самый день 🔥 Раз в две недели открываем доступ в секретный бот Skillbox 🤫 Подписывайся на канал и первым забирай самые выгодные предложения по обучению: ✔️ самые большие скидки ✔️ дополнительные бонусы ✔️ персональное ведение кураторов ✔️ full-пакет карьерной поддержки #актуальныескидки
Какие курсы ты можешь пройти бесплатно прямо сейчас Программирование 👉 погрузишься в основы Python, Java, QA, SQL, напишешь свой первый код и получишь план для старта в новой профессии. Как заработать первую 1000$ в IT 👉 Поймешь, подходит ли тебе вход в IT с доходом от 1000$ — без опыта, риска и скучных лекций. Попробуешь профессию за пару дней: найдешь баги, протестируешь сайт и АРІ, поработаешь с Postman, Fiddler…
В этом году модно возвращаться в прошлое? Окей. Давай откатимся на 10 лет назад и посмотрим, каким тогда был рынок труда 😉 И сравним, какой он сейчас. Спойлер: случился мощный glow up ✨ #полезное
Если коротко: соцсети сейчас — это не про «придумал пост и выложил», а про инструменты, которые делают за тебя половину работы Вот быстрый дайджест, что где используется 👇 ✔️ ChatGPT / DeepSeek — пишешь тексты, посты, письма, отвечаешь на вопросы ✔️ Midjourney / Kandinsky — делаешь картинки и визуал для контента ✔️ Kling / Runway — генеришь короткие видео ✔️ Suno / Udio — создаешь музыку и джинглы ✔️ Notion AI — ст…
Признавайтесь, у кого на какие даты билет на «Дьявол носит Prada 2»? Или уже сходили 😏 Интересный факт: пока я пишу этот пост, поймал себя на мысли, что первая часть когда-то стала одной из причин, почему я вообще пришел в маркетинг. Тогда это выглядело примерно так: Ожидание: — гламур, красивые кампании, креатив, вечеринки, бренды — создаешь рекламу, которая сразу становится культовой — работа = сплошной стиль и …
3 простых действия, как поймать продуктивный настрой и не потерять его 👇 1. Убери «разгон» — начни с самого простого. Выбери одну задачу на 5–10 минут и сделай ее первой. Мозг быстрее включается в работу, когда есть быстрый результат. 2. Сделай вход в работу максимально легким. Открой нужные вкладки, убери лишние уведомления. Чем меньше сопротивления в начале — тем выше шанс войти в поток. 3. Фиксируй прогресс, да…
Собери свой образ на Met Gala 2026 🎥 Уже завтра! Beyoncé возвращается на ковровую дорожку впервые за 10 лет. Модный мир снова будет обсуждать образы, которые выглядят как искусство. А у нас реальность проще: открыл шкаф утром и получил полчаса сомнений «что надеть». Хаос в гардеробе — отсутствие системы. Импульсивные покупки, лишние траты, вещи, которые не сочетаются между собой — и ощущение, что «носить нечего», …
Все твои друзья уже подписались на этот канал и первыми забирают лучшие предложения 👇 А ты до сих выбираешь курсы без д/з и куратора, потому что они дешевле 😱 Переходи по ссылке, следи за обновлениями и бронируй самые выгодные условия на полноценное обучение с 0 до трудоустройства! #актуальныескидки
«А не заменят ли меня нейросети через пару лет?» Заменят. Рынок меняется так быстро, что выбирать профессию — как стрелять в темноте. Вчера говорили «иди в таргет», сегодня «таргет умрет». Страшно вложить время и деньги в направление, которое скоро исчезнет 😱 Аналитики Skillbox провели исследование и определили: спрос на какие профессии не просто сохранится, а станет еще стабильнее через 10 лет. ☝️ Даже когда ИИ …
😁😆😁 Не забыть подписаться на тг-бот Skillbox, чтобы первым забирать скидки, бронировать места, на личное сопровождение от экспертов и получать курсы в подарок 😈
❤1
Ты бы, конечно, хотел стать дизайнером 🤔 Но что будет, когда курс куплен, а руки не из того места оказались — вот в чем вопрос. Самое страшное — не потеря денег, а потеря времени на то, что в итоге окажется не твоим. Деньги заработаешь, а время не вернешь. Вот другие дизайнеры макеты красивые делает, работают из кофеен. А тебе страшно — вдруг это просто красивая картинка 🥲 Так возьми и попробуй сделать тот же маке…
Стать тестировщиком за 3 дня невозможно ❌ Вокруг все обещают «взлет за неделю», а по факту — на курсе одна теория. Разочарование. Вот что ты можешь сделать, если хочешь получить первые навыки уже сегодня и бесплатно 👇 Забери бесплатный курс по тестированию, на котором ты за 5 часов выполнишь реальные задачи тестировщика: ✅ найдешь баги в демо-приложении ✅ составишь свой первый тест-кейс ✅ поймешь, нравится ли теб…
Showing the 12 most recent of 13 posts we hold for @skillbox_uz. 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.
Citation-graph rank — 376,861 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 2 registered channels — 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Skillbox FM. Узбекистан” (@skillbox_uz), 1,139 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/skillbox_uz.
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.