Telegram RegisterThe public register of Telegram
Telegram profile photo for GoPractice!

Channel

GoPractice!

@gopractice

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

29,394subscribers

+271 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001262665183
TypeChannel
Username@gopractice
Created22 August 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held58
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/gopractice

Topic

Technology — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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

28,84629,39429,1205 August 2026 — 29,123 subscribers6 August 2026 — 29,123 subscribers7 August 2026 — 29,124 subscribers8 August 2026 — 29,122 subscribers9 August 2026 — 29,121 subscribers10 August 2026 — 29,114 subscribers11 August 2026 — 29,104 subscribers12 August 2026 — 29,105 subscribers13 August 2026 — 29,100 subscribers15 August 2026 — 29,103 subscribers16 August 2026 — 29,098 subscribers17 August 2026 — 29,094 subscribers18 August 2026 — 29,086 subscribers19 August 2026 — 29,085 subscribers20 August 2026 — 29,078 subscribers21 August 2026 — 29,077 subscribers22 August 2026 — 29,085 subscribers25 August 2026 — 29,076 subscribers26 August 2026 — 29,077 subscribers27 August 2026 — 29,079 subscribers28 August 2026 — 29,082 subscribers29 August 2026 — 29,078 subscribers30 August 2026 — 29,076 subscribers1 September 2026 — 29,071 subscribers1 September 2026 — 29,067 subscribers2 September 2026 — 29,064 subscribers4 September 2026 — 29,065 subscribers7 September 2026 — 29,071 subscribers10 September 2026 — 29,060 subscribers12 September 2026 — 29,062 subscribers14 September 2026 — 29,058 subscribers15 September 2026 — 29,053 subscribers29 September 2026 — 29,007 subscribers5 October 2026 — 28,963 subscribers9 October 2026 — 28,942 subscribers13 October 2026 — 28,928 subscribers14 October 2026 — 28,916 subscribers16 October 2026 — 28,901 subscribers17 October 2026 — 28,898 subscribers17 October 2026 — 28,894 subscribers18 October 2026 — 28,897 subscribers20 October 2026 — 28,889 subscribers21 October 2026 — 28,883 subscribers22 October 2026 — 28,860 subscribers23 October 2026 — 28,857 subscribers25 October 2026 — 28,856 subscribers26 October 2026 — 28,853 subscribers27 October 2026 — 28,855 subscribers28 October 2026 — 28,860 subscribers29 October 2026 — 28,856 subscribers30 October 2026 — 28,854 subscribers31 October 2026 — 28,856 subscribers1 November 2026 — 28,855 subscribers2 November 2026 — 28,850 subscribers3 November 2026 — 28,846 subscribers4 November 2026 — 28,974 subscribers5 November 2026 — 29,374 subscribers6 November 2026 — 29,394 subscribers5 August 20266 November 2026
58 measurements spanning 92 days, net +271. 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 28,764–29,476 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
6 Nov 2026, 07:0829,394+20
5 Nov 2026, 09:1529,374+400
4 Nov 2026, 07:0628,974+128
3 Nov 2026, 06:0028,846-4
2 Nov 2026, 07:4428,850-5
1 Nov 2026, 08:5628,855-1
31 Oct 2026, 10:1028,856+2
30 Oct 2026, 09:5428,854-2
29 Oct 2026, 12:1828,856-4
28 Oct 2026, 10:0628,860+5
27 Oct 2026, 09:2928,855+2
26 Oct 2026, 06:4828,853-3
25 Oct 2026, 06:4128,856-1
23 Oct 2026, 10:0728,857-3
22 Oct 2026, 11:2928,860-23
21 Oct 2026, 03:5028,883-6
20 Oct 2026, 00:5828,889-8
18 Oct 2026, 21:3628,897+3
17 Oct 2026, 22:0528,894-4
17 Oct 2026, 00:5828,898first reading

Engagement

30 posts held, back to 16 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 148 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.5%
avg views ÷ 29,394 subscribers
Avg views / post
4,280
8 posts measured
Reaction rate
0.43%
reactions ÷ views · ER floor
Posts in window
8
of 30 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 5 November 2026
Posts held30 (16 July 2026 – 5 November 2026)
Views total34,210
Reactions total147
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 01:26 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.

What this channel posts

Video runtime
3m 02s
Average length
23s

Measured directly from 8 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

712 reactions across 30 posts, in 7 distinct kinds. The most used accounts for 40.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥29040.7%
❤25435.7%
👍13819.4%
💯121.69%
⚡91.26%
😱81.12%
🏆10.14%

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 30 of the 30 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 712 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 16 July 2026 to 5 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 30 we hold a reading for · 7%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gopractice. 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 30 most recent posts we hold for this entry, published 16 July 2026 to 5 November 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.

Advertising

Ad load
3.33%
1 of 30 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
5,490
over 1 measured post
Median views · rest
5,350
over 29 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2W5zFHYgAjs115 October 202615 October 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 30 most recent posts we hold, published 16 July 2026 to 5 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 8 posts held from the last 30 days (12.5%) 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).

5 Nov 2026, 08:36 UTC≈2,290 views11 reactionsread 6 November 2026

Почему инвесторы поставили $870 миллионов на модель, которая не пишет текст Меньше чем через месяц после запуска Jev фонд a16z возглавил раунд компании TypeSafe на $870 миллионов при оценке $7,5 миллиарда. Среди авторов поста об этой инвестиции — Marc Andreessen, Ben Horowitz и Martin Casado. Главное из него: — Сейчас AI помогает писать гораздо больше обычного софта и гораздо быстрее, но не обязательно делает сам э…

❤8⚡2👍1

29 Oct 2026, 09:35 UTC≈3,810 views44 reactionsread 6 November 2026

Создать продукт стало проще. Найти то, что стоит создавать — сложнее Привет, это Олег. Посмотрите, как смещается ценность. Создавать продукты стало намного проще. Но находить инсайты о том, что стоит создавать — куда сложнее. Эта динамика хорошо видна в технологическом секторе, где все читают одних и тех же людей в X (Twitter), следят за одними и теми же продуктами и ищут сигналы в одних источниках данных. Это еще…

❤24💯10🔥7👍3

27 Oct 2026, 08:32 UTC≈3,730 views9 reactionsread 6 November 2026

Почему пора заниматься AEO/GEO прямо сейчас? 🏃🏻‍♂️ 1️⃣ Канал, которого не видно в аналитике — 71% покупателей B2B-софта обращаются к чат-ботам в процессе выбора, половина чаще начинает поиск решения с чат-бота, чем с Google. — Канал почти не оставляет следов: ссылка на источник есть лишь в 7% ответов ChatGPT, а при AI-сводке в выдаче Google по обычной ссылке переходят почти вдвое реже. — Если модель не называет ваш…

❤9

22 Oct 2026, 08:45 UTC≈4,510 views13 reactionsread 6 November 2026
Video

Заключительный кейс серии про AEO/GEO стартует на следующей неделе: усиливаем видимость компании в ответах LLM Покупатели все чаще спрашивают ChatGPT, Claude и Gemini, какой продукт выбрать. Если модели не называют вашу компанию или описывают ее по устаревшим данным, вы теряете сделки, которые даже не увидите в аналитике. На следующей неделе в AI-мастерской выходит третий, заключительный кейс серии о работе с видим…

❤9🔥2⚡1👍1

21 Oct 2026, 08:32 UTC≈4,280 views37 reactionsread 6 November 2026

Привет, это Олег. Рано или поздно почти каждая продуктовая команда приходит к идее: а давайте добавим в продукт виральность. Идея выглядит очень привлекательно. Вместо работы с дорогими или сложными в построении каналами привлечения, хочется сделать так, чтобы существующие пользователи сами приводили новых. Классические идеи для реализации: дадим пользователю бонус, если он пригласит друга. Добавим реферальную про…

👍17🔥12❤7⚡1

15 Oct 2026, 09:21 UTC≈5,490 views12 reactionsread 6 November 2026
Advertisementerid 2W5zFHYgAjs

Все про персональный маркетинг — на Mindbox Конференции 2026 Третий год подряд поддерживаем Mindbox Конференцию. В этом году команда Mindbox подготовила двухдневную программу: доклады, мастер-классы, интервью и онлайн-воркшоп по вайбкодингу для маркетологов. Среди докладов 23 октября: 🔹 «Купер» доверил реактивацию клиентов ML-модели и удвоил ROMI; 🔹 «Вита» передала аналитику и рассылки нескольким ИИ-агентам; 🔹 «…

❤6👍6

13 Oct 2026, 08:33 UTC≈4,880 views10 reactionsread 6 November 2026
Video

Мы измерили видимость в ответах LLM. Что дальше? Предыдущие две недели в AI-мастерской мы работали над кейсом «Работа с AEO/GEO. Измеряем видимость компании в ответах LLM». В нем мы собрали сервис мониторинга видимости в ответах LLM. Он показывает, что LLM отвечают человеку, который собирается выбрать продукт в вашей категории: называют ли вашу компанию, на каком месте в списке и в какой тональности — и то же самое …

❤10

8 Oct 2026, 08:39 UTC≈5,220 views11 reactionsread 6 November 2026

Продолжаем серию кейсов о работе с AEO/GEO. Анализируем видимость в ответах LLM Все больше покупателей выбирают продукт, спрашивая совета у ChatGPT, Gemini или Claude. Если модель не называет вашу компанию в ответе, вы проигрываете еще до того, как человек дойдет до сайта, и даже не узнаете об этом. Позиции в поиске компании отслеживают годами, а что о них говорят модели, большинство не знает. Мониторинг видимости …

❤11

6 Oct 2026, 09:45 UTC≈4,840 views16 reactionsread 6 November 2026

Персональные AI-ассистенты — вау или ничего нового Привет, это Олег. Наблюдаю интересную разницу в реакции на персональных AI-ассистентов (Muse, Instinct). — Одни пробуют и очень быстро ловят aha moment. — Другие пробуют и не видят ничего принципиально нового относительно того, что они уже делали. Дело в том, что люди из технологического мира забывают, насколько далеко их повседневный опыт использования AI ушел о…

❤12⚡3😱1

30 Sept 2026, 07:18 UTC≈5,590 views84 reactionsread 6 November 2026
Photo

Большое обновление первого симулятора 🚀 Привет, это Олег. В 2018 году мы запустили наш первый образовательный продукт — «Симулятор управления продуктом на основе данных». За прошедшие годы в нем прошли обучение десятки тысяч студентов, и по их мнению — это лучший образовательный продукт (такие замеры ежегодно проводят Product Sense, devcrowd и другие команды). Симулятор учит тому, как создавать ценность через поис…

🔥56❤15😱7👍6

29 Sept 2026, 08:20 UTC≈5,220 views24 reactionsread 6 November 2026

«Это конец поиска, каким мы его знали, но маркетологи чувствуют себя нормально. Более или менее» Больше двадцати лет SEO было базовым инструментом для видимости в интернете. Вокруг него выросла целая индустрия: набивка ключевых слов, торговля ссылками, оптимизация контента, инструменты для аудита — и специалисты с агентствами, которые всем этим управляют. Но в 2025 году поиск начал смещаться от привычных браузеров к…

🔥17👍5❤2

24 Sept 2026, 12:54 UTC≈5,920 views18 reactionsread 6 November 2026
Video

Узнаем, советуют ли вас ChatGPT, Gemini и Claude: собираем сервис мониторинга видимости в ответах LLM Новый кейс AI-мастерской стартует уже на следующей неделе. В нем вы с помощью кодинг-агента соберете сервис, который задает моделям вопросы покупателя и фиксирует, называют ли они вашу компанию и конкурентов, на каком месте и в какой тональности. Регулярные замеры покажут, как эти цифры меняются со временем. Нескол…

🔥12❤6

Showing the 12 most recent of 30 posts we hold for @gopractice. 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.

Posts edited after publishing

@gopractice edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
27 October 2026
Most recent edit
27 October 2026

Posts recorded as deleted after publishing

We recorded 1 post on @gopractice as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
23 October 2026
Most recent seen missing
23 October 2026
Median time before seen missing
10 days
Seen missing in the last 30 days
1

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 8 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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

No Flame No Game
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#1
Ваня Замесин
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#2
Продакты не нужны
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#3
Yandex for Products
@yandexforproducts · 17,963
#4
Epic Growth — рост продуктов
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#5
Аня Подображных [Будни продакта]
@product_weekdays · 18,966
#6
Глеб Кудрявцев — продукты и бизнес
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#7
Продукторий Владимира Меркушева
@vladimir_merkushev · 21,843
#8
EDU
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#9
Products’ memes
@productsmemes · 8,763
#10
Product Management & AI
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#11
Вправо Вверх 📈 Михаил Табунов
@bossofyourboss · 27,334
#12
100x | Денис Мартынцев
@martyntsev_100x · 7,168
#13
Дизраптор
@disruptors_official · 72,578
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ProductSense
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#15
Стартап дня. Александр Горный.
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#16
Fresh Product Manager
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#17
Hire ProProduct - Продуктовые вакансии
@hireproproduct · 24,909
#18
ProductDo: практика продакта
@productdo · 24,912
#19
Продуктовое мышление / от ProductSense
@ProductMindset · 13,375
#20
Нейрохаки
@careerfactory · 6,121
#21
Alexcouncil⚡
@alexcouncil · 13,519
#22
Black product owner | Тигран Басеян о продакт менеджменте и стартапах
@blackproduct · 21,442
#23
Strategic move | Юлия Билинкис
@strategic_move · 16,831
#24
Камилла Самохина Ӏ Product channel fit
@product_channel_fit · 15,838
#25
kyrillic
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#26
Продуктовая полка
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#27
Первый Продуктовый
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#28
Метрики Смысла | Серёгина Лена
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#29
Нормально делай, нормально будет / Саша Клименко
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#30
Продуктовая лавка с вакансиями
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#31
Radical Rozova
@valerierozov · 10,002
#32
Дашич, беги🚀
@dashich_begi · 41,126
#33
Путь продакта с Романом Абрамовым
@PMlifestyle · 7,743
#34
Подкаст make sense (Есть смысл)
@mspodcast · 6,308
#35
Product games с Кристиной Гусевой
@productgames · 10,189
#36
Без aspera
@bezaspera · 73,404
#37
Ponchik News | Алексей Иванов
@ponchiknews · 15,515
#38
Product × Science
@product_science · 5,820
#39
Вакансии для продакт-менеджеров
@productjobgo · 23,116
#40
Growth Marketing штуки 🦄
@growth_marketing_shtuki · 3,840
#41
Вакансии для продактов и проджектов
@product_jobs · 36,962
#42
Продакт аналитикс
@productanalyticsfordummies · 9,394
#43
Продуктовая насмотренность | Евгений Гурьянов
@product_systems · 3,271
#44
Время Валеры
@cryptovalerii · 32,021
#45
Kumar & Solo
@solokumi · 40,499
#46
Сергей Колганов - psilonsk - об управлении проектами
@psilonsk · 15,756
#47
Миша Карпов — AI, продукты и рост ⛳
@todo2go · 8,145
#48
Модель Атрибуции Александра Игнатенко
@marketing_analysis · 2,925
#49
CODE:DARIA
@codedaria · 7,447
#50
Product Сult / Паращенко Сергей
@product_cult · 5,583
#51
Трудно быть Руденко
@cxlogic · 9,040
#52
запуск завтра
@ctodaily · 33,727
#53
Лабецкий практикует:
@dailybro · 2,042
#54
Мастерская Продуктовой стратегии Безуглого Дмитрия
@product_advices · 6,237
#55
Антон Тарасов (канал)
@undisrupt · 6,791
#56
from:adam
@c3po_notes · 6,864
#57
Саша Капустин про продукт, управление людьми и не только.
@productanddot · 3,034
#58
careerspace
@careerspace · 164,836
#59
Плохой менеджер Артём Арюткин
@badTechProject · 14,125
#60
Всеволод Устинов (канал): Типичный водолей
@vsevolodustinovchannel · 16,503
#61
Product_ninja | Стас Джу
@product_ninja · 1,177
#62
Teamlead Good Reads – ежедневные советы про менеджмент людей и команд
@leadgr · 29,783
#63
Фичизм
@fichism · 25,272
#64
Job for Products and Projects
@forproducts · 70,765
#65
Тёмная сторона / Темнографика
@temno · 79,187
#66
vc.ru
@vcnews · 112,176
#67
Connectable Jobs
@zarubezhom_jobs · 106,258
#68
Игорь Кузнецов о темных паттернах
@brainshare · 21,739
#69
Kostya Gorsky’s Channel
@desprod · 25,638
#70
addmeto
@addmeto · 71,948
#71
The Edinorog 🦄
@Theedinorogblog · 43,874
#72
Продуктовый Стэтхем
@productstatham · 4,508
#73
КОНТЕКСТ
@kontext_channel · 865,612
#74
Дудь
@yurydud · 851,224
#75
No Data No Growth | Pavel Bukhtik
@nodatanogrowth · 12,783
#76
Карты, деньги и продукт
@karty_dengi_product · 6,471
#77
Reveal the Data
@revealthedata · 27,711
#78
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 44,586
#79
Denis Sexy IT 🤖
@denissexy · 140,346
#80
Банкста
@banksta · 439,502
#81
42 секунды
@ftsec · 19,404
#82
Ночной Писаревский
@pisarevich · 17,163
#83
Индекс дятла
@dindex · 22,224
#84
Dumik
@dumik · 21,775
#85
Фича дня by @hardclient
@featureoftheday · 12,250
#86
Денис Ялугин - Про команду, менеджмент и бизнес
@denisyalugin · 2,301
#87
Media Rare
@media_rare · 28,866
#88
эйай ньюз
@ai_newz · 98,218
#89
кабачковая икра по акции
@sale_caviar · 192,560
#90
Job for Chiefs (TOP vacancies)
@forchiefs · 38,920
#91
TechSparks
@techsparks · 46,785
#92
Дима из Глубины
@bananamonkeyfit · 4,661
#93
Сиолошная
@seeallochnaya · 81,039
#94
Дайджест продуктового дизайна
@pdigest · 49,071
#95
RationalAnswer | Павел Комаровский
@RationalAnswer · 109,004
#96
Медуза — LIVE
@meduzalive · 1,118,113
#97

Read from Telegram’s recommendation API, most recently 9 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Epic Growth — рост продуктов
@epicgrowth · 26,089
Telegram ranks this channel #1 of 97 here — alongside 96 others — read 12 September 2026
No Flame No Game
@proproduct · 38,624
Telegram ranks this channel #2 of 96 here — alongside 95 others — read 31 August 2026
Hire ProProduct - Продуктовые вакансии
@hireproproduct · 24,909
Telegram ranks this channel #7 of 98 here — alongside 97 others — read 17 September 2026
ProductDo: практика продакта
@productdo · 24,912
Telegram ranks this channel #7 of 97 here — alongside 96 others — read 17 September 2026
Fresh Product Manager
@FreshProductGo · 19,880
Telegram ranks this channel #10 of 95 here — alongside 94 others — read 29 September 2026
Ваня Замесин
@zamesin · 50,087
Telegram ranks this channel #10 of 97 here — alongside 96 others — read 25 August 2026
Продукторий Владимира Меркушева
@vladimir_merkushev · 21,843
Telegram ranks this channel #11 of 96 here — alongside 95 others — read 21 September 2026
Продакты не нужны
@betternotworse · 28,330
Telegram ranks this channel #11 of 96 here — alongside 95 others — read 9 September 2026
Product Management & AI
@ruspm · 25,027
Telegram ranks this channel #12 of 97 here — alongside 96 others — read 14 September 2026
Kumar & Solo
@solokumi · 40,499
Telegram ranks this channel #15 of 98 here — alongside 97 others — read 1 September 2026
Вправо Вверх 📈 Михаил Табунов
@bossofyourboss · 27,334
Telegram ranks this channel #16 of 95 here — alongside 94 others — read 10 September 2026
Яндекс нанимает | Вакансии для PM
@ya_jobs_pm · 30,804
Telegram ranks this channel #16 of 98 here — alongside 97 others — read 8 September 2026
Нормально делай, нормально будет / Саша Клименко
@normalno_delaj · 21,461
Telegram ranks this channel #17 of 96 here — alongside 95 others — read 22 September 2026
Вакансии для продакт-менеджеров
@productjobgo · 23,116
Telegram ranks this channel #18 of 96 here — alongside 95 others — read 20 September 2026
Вакансии для продактов и проджектов
@product_jobs · 36,962
Telegram ranks this channel #18 of 96 here — alongside 95 others — read 2 September 2026
AgileFluent: карьера без границ
@agilefluent · 48,636
Telegram ranks this channel #18 of 95 here — alongside 94 others — read 28 August 2026
Black product owner | Тигран Басеян о продакт менеджменте и стартапах
@blackproduct · 21,442
Telegram ranks this channel #27 of 93 here — alongside 92 others — read 24 September 2026
Google Таблицы
@google_sheets · 59,516
Telegram ranks this channel #29 of 98 here — alongside 97 others — read 22 August 2026
Noukash
@noukashblog · 21,611
Telegram ranks this channel #30 of 95 here — alongside 94 others — read 23 September 2026
Стартап дня. Александр Горный.
@startupoftheday · 62,655
Telegram ranks this channel #30 of 97 here — alongside 96 others — read 22 August 2026
getmatch: канал про карьеру в IT
@g_jobchannel · 18,984
Telegram ranks this channel #33 of 95 here — alongside 94 others — read 5 October 2026
Тёмная сторона / Темнографика
@temno · 79,187
Telegram ranks this channel #34 of 99 here — alongside 98 others — read 18 August 2026
Job for Products and Projects
@forproducts · 70,765
Telegram ranks this channel #35 of 98 here — alongside 97 others — read 20 August 2026
pmclub — учим управлять
@pmclub · 20,703
Telegram ranks this channel #38 of 97 here — alongside 96 others — read 26 September 2026

This channel appears in 55 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“GoPractice!” (@gopractice), 29,394 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/gopractice.

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.