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 96% 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
28 measurements spanning 96 days, net -230. 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 6,079–6,378 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
11 Nov 2026, 09:06
6,113
-5
7 Nov 2026, 21:00
6,118
-3
4 Nov 2026, 22:54
6,121
-12
1 Nov 2026, 18:08
6,133
-1
30 Oct 2026, 03:49
6,134
-7
27 Oct 2026, 01:25
6,141
-3
24 Oct 2026, 10:55
6,144
-7
21 Oct 2026, 14:01
6,151
+4
18 Oct 2026, 04:08
6,147
-2
15 Oct 2026, 08:37
6,149
-11
11 Oct 2026, 23:01
6,160
-21
5 Oct 2026, 11:20
6,181
-20
27 Sept 2026, 19:39
6,201
-23
18 Sept 2026, 01:57
6,224
-5
13 Sept 2026, 15:39
6,229
-15
9 Sept 2026, 16:19
6,244
-14
4 Sept 2026, 16:00
6,258
-30
1 Sept 2026, 05:45
6,288
-4
28 Aug 2026, 22:25
6,292
-12
25 Aug 2026, 16:48
6,304
first reading
Engagement
40 posts held, back to 5 February 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 13 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.77%
avg views ÷ 6,113 subscribers
Avg views / post
475
2 posts measured
Reaction rate
0.288%
reactions ÷ views · ER floor
Posts in window
2
of 40 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. It is computed over the 1 of 2 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 November 2026
Posts held
40 (5 February 2026 – 3 November 2026)
Views total
950
Reactions total
1
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 16:45 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
66 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 45.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
30
45.5%
🔥
16
24.2%
😁
12
18.2%
👍
7
10.6%
🌚
1
1.52%
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 20 of the 40 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 66 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 5 February 2026 to 3 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: 0 of 2 posts held from the last 30 days (0%) 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).
Claude Code: знакомимся с одним из самых популярных AI-разработчиков
Сегодня у нас Claude Code от Anthropic. Его сильная сторона - это работа над задачей целиком: от изучения существующего кода до изменений и проверок. Например, можно поручить добавить функцию: агент найдёт нужные файлы, предложит решение, внесёт правки и запустит проверки. Если они покажут ошибку, сможет продолжить работу над исправлением.
🧩🧩🧩
Cl…
Спринт «Софты для продактов» — старт 28 октября
AI берёт на себя всё больше технических задач, но в работе по-прежнему многое зависит от людей и на первый план сейчас всё чаще выходят софты: умение договариваться, влиять на решения, разрешать конфликты и выстраивать работу команды.
На спринте будем разбирать именно такие ситуации и тренировать навыки, которых часто не хватает для следующего карьерного шага.
Темы з…
GitHub Copilot: что это и как попробовать бесплатно
Продолжаем знакомиться с инструментами AI-разработки. В прошлый раз разбирали Cursor - редактор с собственной средой для работы с кодом. Сегодня GitHub Copilot, который можно подключить к уже используемому редактору, например VS Code.
Copilot совмещает две роли: ассистента программиста и AI-разработчика. Он может предлагать продолжение кода, объяснять его в чате и…
Как синдром самозванца тормозит карьеру
Софты часто воспринимаются как что-то врождённое: либо умеешь заявить о себе, договариваться и вести за собой, либо нет. Но провести встречу с понятным решением, делегировать задачу, дать неприятную обратную связь или сказать «нет» - это конкретные навыки, которые можно тренировать.
⚓️⚓️⚓️
В карьере это особенно заметно. Ты можешь хорошо знать продукт и справляться со сложн…
AI-редакторы: что это и с чего начать в Cursor
Продолжаем разбираться в инструментах AI-разработки. Чем Cursor отличается от таких AI-агентов, как Claude Code и Codex? Cursor объединяет AI-разработчика с собственной средой для работы с кодом. Ты открываешь проект, ставишь задачу ИИ и можешь наблюдать за изменениями в одном интерфейсе.
Такие продукты называют AI-редакторами или AI-IDE. Cursor, Trae, Windsurf и други…
Знакомимся еще одним AI-разработчиком: терминальным агентом Pi Coding Agent
Мы уже рассказывали про Devin: AI-разработчика, которому можно делегировать задачу и несколько этапов её выполнения. Теперь познакомимся с другим форматом работы с AI-разработчиком - терминальным агентом Pi Coding Agent.
Если в облачном сценарии с Devin ты передаёшь задачу в отдельную рабочую среду, то Pi запускаешь в папке своего проекта и…
Расписание продуктовых ии кейс-клубов
🕐 05 октября (понедельник) 19.10-21.10 мск
✔️Тема: Исследование
конкурентов за 2 часа
Аутпут: Промпты для синтеза интервью
Разовое участие - 3500 ₽
🕐 08 октября (четверг) 18.30-20.30 мск (для мидлов и сеньоров)
✔️ Тема: Продукт вырос до 100 000 пользователей. Теперь попробуйте на нём заработать
Разовое участие - 5500 ₽,
по абонементу - от 2730 ₽
👇
Запись на любое заняти…
Почему после обновления AI-инструмент вдруг начинает быстрее съедать лимит
Вчера работали в Cursor, Codex или другом AI-инструменте как обычно, а после обновления тот же самый сценарий вдруг начал расходовать лимит заметно быстрее? Причина может быть не в промпте. После обновления сервис может переключить модель, начать передавать ей больше контекста, добавить дополнительные проверки или просто иначе считать расход.…
Lovable: как собрать приложение, если вы вообще не хотите работать с кодом
AI-инструментов для создания продуктов становится всё больше, но понять, какой для чего нужен, не всегда просто. Условно их можно разделить на AI-разработчиков, которые работают с кодом и проектом, и AI-конструкторы, где большую часть работы можно сделать обычным текстом.
Lovable относится ко второй категории. Вы описываете, какое приложение…
Автономные AI-разработчики на практике: разбираемся на примере Devin
Devin может сам изучить проект, найти причину бага, изменить код, запустить тесты и принести готовый pull request. Со стороны выглядит почти идеально: задача выполнена, проверки зелёные - значит можно принимать.
Но здесь есть неприятный нюанс: ИИ может ошибиться не только в коде, но и в способе его проверки. Например, вместе с исправлением изменит…
От middle к senior и lead: почему одних продуктовых навыков уже мало?
Можно хорошо разбираться в метриках, исследованиях и приоритизации, находить сильные решения, но при этом всё равно регулярно упираться в одну и ту же стену: все задачи важные, решения зависят от нескольких команд, стратегию нужно защищать наверху, а делегировать сложно.
💼💼💼
На переходе от middle к senior и lead такие ситуации становятся всё зам…
Сайт заработал. А теперь проверьте, что вместе с ним вы не опубликовали что-нибудь лишнее
Когда сайт собирается быстро, особенно с помощью ИИ, то очень хочется сразу нажать «опубликовать» и идти дальше. Но в этот момент в проекте могут остаться API-ключи, слишком широкие права доступа, общие пароли, формы без нормальной проверки или резервная копия, которую никто никогда не пробовал восстановить.
💡💡💡
Хорошая новос…
Showing the 12 most recent of 40 posts we hold for @careerfactory. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Какие темы кейс-клубов/курсов для продактов интересны?
Подготовка к собеседованиям с нанимающими29%
Менеджмент (управление командой, межкомандное взаимодействие, со стейкхолдерами)34%
Питчинг проектов17%
Вход в новую команду и продукт33%
Как работать с ML и разработкой31%
Применение AI56%
Свой вариант в каментах6%
The shares total 206%, 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 40 most recent posts we hold, published 5 February 2026 to 3 November 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.
Forward network
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.
Mentions
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.
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.
Appears in Telegram’s recommendations for other channels
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.
Вакансии для продакт-менеджеров @productjobgo · 23,158 Telegram ranks this channel #21 of 96 here — alongside 95 others — read 20 September 2026
GoPractice! @gopractice · 29,379 Telegram ranks this channel #21 of 97 here — alongside 96 others — read 9 September 2026
Яндекс нанимает | Вакансии для PM @ya_jobs_pm · 30,807 Telegram ranks this channel #23 of 98 here — alongside 97 others — read 8 September 2026
Вакансии для продактов и проджектов @product_jobs · 36,981 Telegram ranks this channel #25 of 96 here — alongside 95 others — read 2 September 2026
Epic Growth — рост продуктов @epicgrowth · 26,033 Telegram ranks this channel #33 of 97 here — alongside 96 others — read 12 September 2026
No Flame No Game @proproduct · 38,597 Telegram ranks this channel #39 of 96 here — alongside 95 others — read 31 August 2026
Avito Career @avito_career · 67,530 Telegram ranks this channel #43 of 98 here — alongside 97 others — read 21 August 2026
AgileFluent: карьера без границ @agilefluent · 48,839 Telegram ranks this channel #45 of 95 here — alongside 94 others — read 28 August 2026
Job for Products and Projects @forproducts · 70,729 Telegram ranks this channel #45 of 98 here — alongside 97 others — read 20 August 2026
ProductDo: практика продакта @productdo · 25,098 Telegram ranks this channel #46 of 97 here — alongside 96 others — read 17 September 2026
Product Management & AI @ruspm · 25,007 Telegram ranks this channel #50 of 97 here — alongside 96 others — read 14 September 2026
Hire ProProduct - Продуктовые вакансии @hireproproduct · 24,941 Telegram ranks this channel #51 of 98 here — alongside 97 others — read 17 September 2026
Продакты не нужны @betternotworse · 28,392 Telegram ranks this channel #52 of 96 here — alongside 95 others — read 9 September 2026
Black product owner | Тигран Басеян о продакт менеджменте и стартапах @blackproduct · 21,408 Telegram ranks this channel #53 of 93 here — alongside 92 others — read 24 September 2026
Продукторий Владимира Меркушева @vladimir_merkushev · 21,829 Telegram ranks this channel #54 of 96 here — alongside 95 others — read 21 September 2026
Ваня Замесин @zamesin · 50,070 Telegram ranks this channel #57 of 97 here — alongside 96 others — read 25 August 2026
Fresh Product Manager @FreshProductGo · 19,860 Telegram ranks this channel #60 of 95 here — alongside 94 others — read 29 September 2026
Нормально делай, нормально будет / Саша Клименко @normalno_delaj · 22,175 Telegram ranks this channel #61 of 96 here — alongside 95 others — read 22 September 2026
This channel appears in 18 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Нейрохаки” (@careerfactory), 6,113 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/careerfactory.
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.