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Channel

Фриланс будущего

@prof4

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

5,756subscribers

+140 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001349586223
TypeChannel
Username@prof4
Created6 April 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/prof4

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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 the other topics.

Growth

5,5565,7635,659.56 August 2026 — 5,616 subscribers6 August 2026 — 5,616 subscribers7 August 2026 — 5,615 subscribers10 August 2026 — 5,608 subscribers12 August 2026 — 5,604 subscribers18 August 2026 — 5,598 subscribers21 August 2026 — 5,594 subscribers25 August 2026 — 5,587 subscribers28 August 2026 — 5,613 subscribers31 August 2026 — 5,603 subscribers4 September 2026 — 5,601 subscribers9 September 2026 — 5,586 subscribers13 September 2026 — 5,583 subscribers17 September 2026 — 5,579 subscribers27 September 2026 — 5,557 subscribers5 October 2026 — 5,556 subscribers12 October 2026 — 5,584 subscribers15 October 2026 — 5,581 subscribers18 October 2026 — 5,575 subscribers24 October 2026 — 5,600 subscribers27 October 2026 — 5,622 subscribers30 October 2026 — 5,763 subscribers2 November 2026 — 5,760 subscribers5 November 2026 — 5,756 subscribers5,7566 August 20265 November 2026
24 measurements spanning 91 days, net +140. 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 5,525–5,794 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
5 Nov 2026, 00:595,756-4
2 Nov 2026, 01:415,760-3
30 Oct 2026, 08:165,763+141
27 Oct 2026, 14:405,622+22
24 Oct 2026, 20:375,600+25
18 Oct 2026, 09:385,575-6
15 Oct 2026, 09:175,581-3
12 Oct 2026, 10:425,584+28
5 Oct 2026, 09:015,556-1
27 Sept 2026, 07:595,557-22
17 Sept 2026, 18:185,579-4
13 Sept 2026, 12:575,583-3
9 Sept 2026, 12:565,586-15
4 Sept 2026, 10:385,601-2
31 Aug 2026, 12:275,603-10
28 Aug 2026, 02:425,613+26
25 Aug 2026, 03:555,587-7
21 Aug 2026, 21:395,594-4
18 Aug 2026, 17:165,598-6
12 Aug 2026, 16:185,604first reading

Engagement

32 posts held, back to 25 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 9 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.93%
avg views ÷ 5,756 subscribers
Avg views / post
571
12 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
12
of 32 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 November 2026
Posts held32 (25 June 2026 – 1 November 2026)
Views total6,857
Reactions total157
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 19:07 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

398 reactions across 32 posts, in 8 distinct kinds. The most used accounts for 45.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥18245.7%
❤13032.7%
custom 52810093624442578554210.6%
👍225.53%
👏102.51%
🥰71.76%
🎉41.01%
🤔10.251%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 32 of the 32 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 398 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 25 June 2026 to 1 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 12 posts held from the last 30 days (16.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

1 Nov 2026, 09:49 UTC172 views6 reactionsread 4 November 2026
Photo

🌟 Дайджест публикаций П4.0 На случай, если вы что-то пропустили, собрали главное за месяц в одной подборке. 🔷 Будущее команд • Когда наём в штат ограничен: материал Николая Долгова и Елены Витчак на Forbes о том, как собирать смешанные команды и делить ответственность • Пять шагов, чтобы встроить проектный формат в систему с жёсткими регламентами • Апсайклинг ресурсов: 5 способов найти скрытый потенциал внутри ком…

❤6

30 Oct 2026, 13:03 UTC220 views14 reactionsread 4 November 2026
Photo

Как ИИ-двойники показали, почему особенности ценнее безупречности Всем привет! 👋 На связи Александра Чернышова, руководитель маркетинговых проектов П4.0. Недавно участвовала в конференции, где компании делились, как ИИ уже меняет их работу в ежедневных процессах. Коллеги из Ростелекома рассказали, как изменилось их корпоративное обучение 🎓Раньше они снимали ролики с живыми спикерами. Теперь оцифровали четырёх сот…

❤7custom 52810093624442578554🔥3

27 Oct 2026, 13:56 UTC279 views11 reactionsread 4 November 2026
Photo

Пять шагов, чтобы встроить проектный формат в рабочую систему Коллеги, приветствую! 👋 На связи Николай Долгов, директор по развитию платформы «Профессионалы 4.0». Мы здесь много говорим о том, как проектный формат и привлечение внештатных экспертов дают бизнесу скорость и доступ к нужным компетенциям под конкретную задачу. Но в крупных компаниях с жёсткими регламентами и высокими требованиями к безопасности такие …

🔥10❤1

24 Oct 2026, 08:43 UTC367 views8 reactionsread 4 November 2026
Photo

Внедрить ИИ и научить им пользоваться — разные задачи Компании делают ставку на искусственный интеллект, чтобы ускорить процессы и разгрузить сотрудников от рутины. По исследованию «Инфосистем Джет» и Smart Ranking, половина крупных российских компаний планирует нарастить инвестиции во внедрение технологии. С обучением людей картина другая. В опросе Работа.ру, СберПодбора и Нетологии специальные программы обучения …

❤5🔥3

21 Oct 2026, 15:39 UTC512 views23 reactionsread 4 November 2026
Voice message

Voice message, posted without a caption

🔥16🎉4👏3

21 Oct 2026, 15:39 UTC494 views25 reactionsread 4 November 2026
Photo

Как сохранить свой почерк в письмах клиентам, если помогает нейросеть? Слушайте аудио и делитесь своим мнением в комментариях ⬇️🤖

🔥15❤6🥰4

19 Oct 2026, 13:58 UTC476 views19 reactionsread 4 November 2026
Photo

Почему внедрение ИИ — задача для проектной команды, а не для штата Коллеги, приветствую! На связи Николай Долгов, директор по развитию платформы «Профессионалы 4.0». Изучил отчет РАНХиГС «Кадровый код: будущее рынка труда с генеративным ИИ». Один из его главных выводов: генеративный ИИ способен компенсировать до 80% кадрового дефицита в целом по экономике. 📊 В финансах и сфере услуг — до 100%, в промышленности — …

❤11🔥5custom 52810093624442578553

16 Oct 2026, 12:48 UTC≈2,700 views11 reactionsread 4 November 2026
Photo

Когда наём в штат ограничен, время расширять границы команды Где искать специалистов, если на локальном рынке их нет? Как совместить штатных сотрудников и внештатных экспертов в одной команде? Какие решения доверить удалённому специалисту, а какие оставить за руководителем? Ответы разобрали материале директора по развитию «Профессионалов 4.0» Николая Долгова и профессора бизнес-практики Школы управления «Сколково» …

🔥9❤2

14 Oct 2026, 14:45 UTC363 views8 reactionsread 4 November 2026
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А кто ты в эпоху ИИ? По мнению журналиста Дэвида Брукса в эпоху нейросетей людей будет различать не интеллект сам по себе, а готовность прилагать умственные усилия (потребность получать удовольствие от самого процесса мышления). Исследования подтверждают, как ИИ незаметно расслабляет наш мозг: 🟣При работе с ИИ интенсивность когнитивной работы мозга снижается на 40% (Possibility Sciences) 🟣После 10 минут решения з…

❤5🔥3

12 Oct 2026, 11:40 UTC405 views9 reactionsread 4 November 2026

ИИ есть, а эффекта нет. Что с этим делать? 14 октября в Москве на форуме «Интеллектуальное предприятие 2026» расскажем, как команда П4.0 сделала ИИ частью ежедневной работы. Если вы читали наш цикл «Как внедрять ИИ в распределённой команде», этот кейс вам знаком. На форуме разберём его вживую и ответим на вопросы. Подробности в видеоприглашении 🙂⬆️ 📍 14 октября в 15:30, Москва | Кейс-сессия «Люди, процессы и ИИ-а…

❤6custom 52810093624442578553

12 Oct 2026, 11:40 UTC361 views12 reactionsread 4 November 2026
Video message

Video message, posted without a caption

🔥7❤5

9 Oct 2026, 05:41 UTC508 views11 reactionsread 4 November 2026
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♻️ Апсайклинг ресурсов: 5 способов найти скрытый потенциал внутри компании В экологии есть понятие апсайклинга: из старых вещей собирают что-то принципиально новое. В управлении это работает так же. Можно взглянуть на текущие процессы, людей и время под другим углом и найти в них то, что раньше не замечали. Вместе с авторами профильных каналов мы собрали 5 прикладных идей о том, где искать неочевидные решения внутр…

❤5👍3🔥3

Showing the 12 most recent of 32 posts we hold for @prof4. 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.

Forward network

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.

Mentions

Named by 5 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.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Фриланс будущего” (@prof4), 5,756 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/prof4.

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.