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Channel

ProductDo: практика продакта

@productdo

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

24,333subscribers

+933 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001262629823
TypeChannel
Username@productdo
Description🚀 Про продакт-менеджмент в международных компаниях Владимир Lead PM Booking.сom, Андрей Sr PM ML Booking.сom, Александр Sr PM Wolt, Константин Sr PM Coupang Симуляторы: productdo.it Написать нам: @productdo_team_bot https://bit.ly/4jOoXLX
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 October 2026
Measurements held42
Confirmed unchanged1 time, most recently 17 October 2026
On Telegramt.me/productdo

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Growth

23,39824,33323,865.57 August 2026 — 23,400 subscribers7 August 2026 — 23,400 subscribers7 August 2026 — 23,398 subscribers8 August 2026 — 23,416 subscribers9 August 2026 — 23,436 subscribers10 August 2026 — 23,460 subscribers11 August 2026 — 23,476 subscribers12 August 2026 — 23,494 subscribers13 August 2026 — 23,508 subscribers14 August 2026 — 23,514 subscribers16 August 2026 — 23,535 subscribers17 August 2026 — 23,566 subscribers18 August 2026 — 23,611 subscribers19 August 2026 — 23,636 subscribers20 August 2026 — 23,640 subscribers22 August 2026 — 23,668 subscribers23 August 2026 — 23,688 subscribers25 August 2026 — 23,712 subscribers26 August 2026 — 23,729 subscribers27 August 2026 — 23,733 subscribers28 August 2026 — 23,768 subscribers29 August 2026 — 23,787 subscribers30 August 2026 — 23,811 subscribers31 August 2026 — 23,831 subscribers1 September 2026 — 23,846 subscribers2 September 2026 — 23,857 subscribers3 September 2026 — 23,860 subscribers4 September 2026 — 23,862 subscribers8 September 2026 — 23,852 subscribers11 September 2026 — 23,848 subscribers12 September 2026 — 23,904 subscribers14 September 2026 — 23,952 subscribers16 September 2026 — 24,012 subscribers18 September 2026 — 24,067 subscribers24 September 2026 — 24,122 subscribers3 October 2026 — 24,136 subscribers8 October 2026 — 24,155 subscribers12 October 2026 — 24,244 subscribers14 October 2026 — 24,264 subscribers15 October 2026 — 24,276 subscribers16 October 2026 — 24,301 subscribers17 October 2026 — 24,333 subscribers7 August 202617 October 2026
42 measurements spanning 71 days, net +933. 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 23,258–24,473 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 42
Measured (UTC)SubscribersChange
17 Oct 2026, 03:5124,333+32
16 Oct 2026, 05:3524,301+25
15 Oct 2026, 07:4924,276+12
14 Oct 2026, 09:0924,264+20
12 Oct 2026, 19:2124,244+89
8 Oct 2026, 05:5924,155+19
3 Oct 2026, 18:0124,136+14
24 Sept 2026, 21:3524,122+55
18 Sept 2026, 14:2124,067+55
16 Sept 2026, 05:1924,012+60
14 Sept 2026, 13:1523,952+48
12 Sept 2026, 22:2023,904+56
11 Sept 2026, 02:1723,848-4
8 Sept 2026, 01:4023,852-10
4 Sept 2026, 23:2023,862+2
3 Sept 2026, 09:4223,860+3
2 Sept 2026, 03:0523,857+11
1 Sept 2026, 03:3823,846+15
31 Aug 2026, 06:2423,831+20
30 Aug 2026, 06:0723,811first reading

Engagement

43 posts held, back to 26 May 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 98 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.3%
avg views ÷ 24,333 subscribers
Avg views / post
3,470
9 posts measured
Reaction rate
1.10%
reactions ÷ views · ER floor
Posts in window
9
of 43 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 14 October 2026
Posts held43 (26 May 2026 – 14 October 2026)
Views total31,220
Reactions total344
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Oct 2026, 13:19 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

Photos
187
Videos
14
Links
472

Lifetime counters from Telegram’s own channel header, read 17 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
2m 29s
Average length
1m 15s

Measured directly from 2 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

1,651 reactions across 43 posts, in 13 distinct kinds. The most used accounts for 29.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤48529.4%
🔥33920.5%
😁27716.8%
👍27316.5%
🦄1247.51%
💩342.06%
😱321.94%
👏271.64%
😎221.33%
🤯201.21%
🤔80.485%
👎70.424%
😢30.182%

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 43 of the 43 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 1,651 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 43 most recent posts we hold, published 26 May 2026 to 14 October 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

14 Oct 2026, 07:45 UTC≈1,610 views19 reactionsread 17 October 2026

Продолжаю держать вас в курсе того, как получается внедрять AI агентов в повседневные задачи. Я продолжаю активно пользоваться Claude на работе и для личных целей как основным агентом. На работе у меня появилось несколько скиллов, которыми я пользуюсь по несколько раз за неделю, и даже готов признать, что если у меня пропадет такая возможность – я сильно расстроюсь. Очень радует, что коллеги активно делают MCP к каж…

❤9👍6🔥2🦄2

6 Oct 2026, 12:46 UTC≈2,930 views34 reactionsread 17 October 2026

4 главных факапа джунов, когда дело доходит до стратегических планов (Я обещал 3, так что один - в подарок!) 1. "VP-level идеи" У меня даже есть внутреняя шутка: "Чем более джуновый продакт, тем более великие у него идеи". Проект, где я вижу года кросс-департаментной разработки молодые специалисты предлагают как очевидную фичу. Что-то типа "давайте запустим персонализированную рассылку". Ну-ну. Это происходит не с…

❤18👏10🦄4💩2

2 Oct 2026, 12:01 UTC≈4,090 views26 reactionsread 17 October 2026
Photo

Довайбкодился Ну что друзья, я довайбкодился до собственных агентов. Лучше бы поставил OpenClaw или Hermes, тогда было бы кого винить. А у вас как идет внедрение AI в рабочие и личные процессы? Скажите, только честно: если завтра у вас пропадет возможность пользоваться LLM моделями для рабочих задач, это существенно повлияет на вашу работу? Или не особенно сильно? === И напоминаем: уже сегодня 2 октября, 19:00 G…

😁18❤4😱3🦄1

30 Sept 2026, 14:07 UTC≈3,530 views7 reactionsread 17 October 2026

Сегодня последний день скидки Early bird на курс "Основы продакт менеджмента" — 41 650 ₽ 70 000 ₽. Программа и участие: https://productdo.it/course

👍3🦄3🔥1

30 Sept 2026, 05:15 UTC≈3,450 views16 reactionsread 17 October 2026

Интерактивный урок продуктового планирования в прямом эфире 2 октября (пятница) в 19:00 GMT+3 проведем необычный вебинар: в прямом эфире вместе пройдем один из уроков симулятора «Продуктовое планирование», посмотрим аналитику, вместе навайбкодим прототип. Тема урока — среднесрочное планирование и OKR На последнем вебинаре мы провели опрос участников и поняли, что большинство ещё не пробовало проходить наши симуля…

🦄9🔥5❤2

28 Sept 2026, 08:20 UTC≈3,660 views165 reactionsread 17 October 2026

Написал знакомый продакт. Вам знакома боль? на текущем месте работы сталкиваюсь с тем, что некоторые коллеги выполняют задачи с помощью ллм (тут все ок), но не удосуживаются когнитивно обработать ответ. просто копи-пастят первый же отпут моделей в чаты, в комментарии к задачам, принимают странные решения и так далее. генерят очень много слабых артефактов на 10+ страниц или гигантские таблицы, в которых сами разобра…

👍133😎21🤯8😢3

25 Sept 2026, 07:12 UTC≈3,670 views27 reactionsread 17 October 2026
Photo

The true cost of the LLMs Скрин реальный, все совпадения неслучайны. Чтобы ваши агенты были не такими щедрыми, проходите наши курсы ;)

😁22🦄3😱2

21 Sept 2026, 07:47 UTC≈4,630 views26 reactionsread 17 October 2026

Такое случается раз в 5 лет Последний раз мы проводили курс "Основы продакт менеджмента" вживую пять лет назад. За пять лет работа продакта достаточно сильно изменилась — мы постоянно обновляли задачи в симуляторе, чтобы они отражали актуальные практики на рынке. А вот воркшопы для этого курса мы не проводили – настало время обновить их. Последней каплей стала интеграция AI во многие процессы: от анализа интервью п…

❤15🔥7🦄3💩1

18 Sept 2026, 14:06 UTC≈3,650 views24 reactionsread 17 October 2026

IT и производство курятины Это продолжение моих старых постов про Корею. 1. Корейская война закончилась в 1953 году. На тот момент все города были разрушены, на улицах Сеула стояли только деревянные хибары и паслись куры. В 1958 году появляется GoldStar (будущая LG). В 1959 году — первая корейская радиола. В 1960 году корейцы начинают собирать транзисторные радиоприёмники. В 1974 году Samsung вплотную входит в полу…

🔥14❤5💩3👍2

14 Sept 2026, 05:58 UTC≈3,790 views63 reactionsread 17 October 2026
Photo

Я (Владимир) в этом году занимаюсь в Букинге мегаинтересным продуктом: мы пилим новый тип поиска и возможность поизучать разные страны/локации (discovery), перед тем, как бронировать отель, перелет и все остальное. Продукт - супер новый, и, как обычно бывает в таких случаях, все начинается со стратегии. Как связать буквы в предложения, а предложения в слайды так, чтобы у всех (от программиста до VP) сложилась понятн…

👍54🔥5🦄3😎1

10 Sept 2026, 06:59 UTC≈3,900 views16 reactionsread 17 October 2026
Video

Делимся записью вебинара Спикер: Игорь Седачёв, Head of marketplace product Smartcat, ex Semrush, ex Авито Живой поток интенсива Продуктовая стратегия стартует 14 сентября. Интенсив для тебя, если: - Команда не понимает что и зачем мы делаем. Разработчики и дизайнеры задают неудобные вопросы о смысле задач, но у тебя нет ответов. - Ты ищешь новую работу. В процессе отбора в большие технологические компании нужно …

❤8🦄4👍2🔥2

9 Sept 2026, 09:03 UTC≈3,780 views16 reactionsread 17 October 2026
Video

Вчера стартовал очередной поток курса ML + LLM для продакта. Мы начали с классического машинного обучения. Свои модели тренировать – это вам не эвалы в AI-студии гонять! На первом вебинаре обсуждали в частности, почему управление ML командой отличается от работы с обычными командами разработки. Вебинар доступен с записи (мааааленький пример из 1.5-часового воркшопа в видео выше). Группа сильная, тема максимально ак…

❤10🔥4👍2

Showing the 12 most recent of 43 posts we hold for @productdo. 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.

12 Jun 2026, 06:47 UTCAnonymous Poll260 voters

Что же делать?

  1. брать реальные показатели пользователя и умножать на коэффициент, чтобы они попали в красную зону75%
  2. вообще забить на данные, которые приходит с датчика, и показывать рандомные значения в красной зоне25%

Shares as published. No per-option vote count is published by Telegram, so none is 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 43 most recent posts we hold, published 26 May 2026 to 14 October 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 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.

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.

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.

Продукторий Владимира Меркушева
@vladimir_merkushev · 21,897
#1
Продакты не нужны
@betternotworse · 28,408
#2
No Flame No Game
@proproduct · 38,658
#3
Аня Подображных [Будни продакта]
@product_weekdays · 18,975
#4
Product Management & AI
@ruspm · 25,102
#5
Product games с Кристиной Гусевой
@productgames · 10,224
#6
GoPractice!
@gopractice · 28,894
#7
Ваня Замесин
@zamesin · 50,019
#8
Black product owner | Тигран Басеян о продакт менеджменте и стартапах
@blackproduct · 21,246
#9
Fresh Product Manager
@FreshProductGo · 19,938
#10
Products’ memes
@productsmemes · 8,758
#11
Yandex for Products
@yandexforproducts · 17,941
#12
Путь продакта с Романом Абрамовым
@PMlifestyle · 7,775
#13
Epic Growth — рост продуктов
@epicgrowth · 26,181
#14
Strategic move: стратегия, продукт и AI
@strategic_move · 16,955
#15
Нормально делай, нормально будет / Саша Клименко
@normalno_delaj · 21,596
#16
Камилла Самохина Ӏ Product channel fit
@product_channel_fit · 15,928
#17
Alexcouncil⚡
@alexcouncil · 13,565
#18
Teamlead Good Reads – ежедневные советы про менеджмент людей и команд
@leadgr · 27,961
#19
Дашич, беги🚀
@dashich_begi · 40,909
#20
Вправо Вверх 📈 Михаил Табунов
@bossofyourboss · 27,434
#21
Продуктовое мышление / от ProductSense
@ProductMindset · 13,392
#22
Дизраптор
@disruptors_official · 72,487
#23
Игорь Кузнецов о темных паттернах
@brainshare · 21,837
#24
Про удобство (Михаил Греков)
@proudobstvo · 17,730
#25
ProductSense
@productsense · 16,483
#26
Плохой менеджер Артём Арюткин
@badTechProject · 14,188
#27
Product Developer
@product_developer · 11,967
#28
Продукты, книги и любовь
@product_love · 14,059
#29
Стартап дня. Александр Горный.
@startupoftheday · 62,041
#30
Продуктовая полка
@productshelf · 6,414
#31
Первый Продуктовый
@firstanalyticsguide · 12,238
#32
Богдан Гончаренко про DesignOps
@b_goncharenko · 15,275
#33
Менеджер от боженьки
@pm_god · 25,102
#34
Метрики Смысла | Серёгина Лена
@close2sense · 7,710
#35
Hire ProProduct - Продуктовые вакансии
@hireproproduct · 24,343
#36
Вакансии для продакт-менеджеров
@productjobgo · 22,948
#37
Вакансии для продактов и проджектов
@product_jobs · 36,413
#38
100x | Денис Мартынцев
@martyntsev_100x · 7,136
#39
EDU
@ProductsAndStartups · 15,328
#40
CODE:DARIA
@codedaria · 7,483
#41
Мастерская Продуктовой стратегии Безуглого Дмитрия
@product_advices · 6,274
#42
Product Сult / Паращенко Сергей
@product_cult · 5,566
#43
Digital Review
@digital_review · 14,017
#44
Продуктовая насмотренность | Евгений Гурьянов
@product_systems · 3,173
#45
Нейрохаки
@careerfactory · 6,149
#46
Продуктовошная Михаила Грекова
@suda_smotri · 6,049
#47
Антон Тарасов (канал)
@undisrupt · 6,828
#48
Воркель 🧢 | Дизайн и продукт
@designvorkel · 10,086
#49
Koloskov: growth, product, analytics
@sergeyproduct · 4,550
#50
ПМ совет
@pm_sovet · 6,922
#51
Продуктовый Стэтхем
@productstatham · 4,525
#52
Карьера после карьеры | Татьяна Гороховская
@producthr · 2,852
#53
Подкаст make sense (Есть смысл)
@mspodcast · 6,323
#54
Саша Капустин про продукт, управление людьми и не только.
@productanddot · 3,022
#55
Product education: курсы, видео, статьи и материалы для продактов и предпринимателей
@eduproduct · 3,866
#56
🔥 Дмитрий Ирешев: AI • Продукты • Проекты
@dmitrii_ireshev_Agile_PMP · 33,395
#57
Миша Карпов — AI, продукты и рост ⛳
@todo2go · 7,982
#58
РБК Образование
@rbc_education · 10,619
#59
Борода продакта
@productclub · 14,047
#60
Мёд и молоко, чувак
@honey_and_milk_dude · 2,504
#61
Product_ninja | Стас Джу
@product_ninja · 1,167
#62
Фичизм
@fichism · 25,343
#63
Глеб Кудрявцев — продукты и бизнес
@glebkudr · 17,211
#64
Job for Products and Projects
@forproducts · 70,241
#65
Connectable Jobs
@zarubezhom_jobs · 105,112
#66
Сергей Колганов - psilonsk - об управлении проектами
@psilonsk · 15,817
#67
Ночной Писаревский
@pisarevich · 17,300
#68
The Edinorog 🦄
@Theedinorogblog · 43,738
#69
Radical Rozova
@valerierozov · 10,006
#70
Поток Замесина
@zamesin_flow · 8,484
#71
Продуктовая лавка с вакансиями
@productvacancy · 6,380
#72
Reveal the Data
@revealthedata · 27,769
#73
Ponchik News | Алексей Иванов
@ponchiknews · 15,565
#74
Фанат Сервиса
@fanat_servisa · 16,659
#75
Hard Client
@hardclient · 22,888
#76
Тёмная сторона / Темнографика
@temno · 79,445
#77
Денис Ялугин - Про команду, менеджмент и бизнес
@denisyalugin · 2,312
#78
Индекс дятла
@dindex · 22,093
#79
Verbetcetera: tech business and careers
@verbetcetera · 6,263
#80
Зачем я это написал?
@slovaoslovah · 7,179
#81
vc.ru
@vcnews · 112,162
#82
Образование, которое мы заслужили
@ru_education · 42,317
#83
kyrillic
@kyrillic · 60,771
#84
addmeto
@addmeto · 71,874
#85
Без aspera
@bezaspera · 72,535
#86
Remocate: релокация, удалёнка, работа и вакансии
@evacuatejobs · 139,807
#87
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 44,335
#88
Дима из Глубины
@bananamonkeyfit · 4,683
#89
RationalAnswer | Павел Комаровский
@RationalAnswer · 107,638
#90
Фича дня by @hardclient
@featureoftheday · 12,326
#91
MISTER SOSISTER ~ PRAYING FOR EXITS
@mister_sosister · 15,865
#92
Media Rare
@media_rare · 26,915
#93
Keep it simple, stupid!
@simplestupid · 2,499
#94
Адовый UX
@uxfromhell · 50,325
#95
Dumik
@dumik · 21,973
#96
Дудь
@yurydud · 856,810
#97

Read from Telegram’s recommendation API, most recently 17 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 · 26,181
Telegram ranks this channel #13 of 97 here — alongside 96 others — read 12 September 2026
Продукторий Владимира Меркушева
@vladimir_merkushev · 21,897
Telegram ranks this channel #15 of 96 here — alongside 95 others — read 21 September 2026
Нормально делай, нормально будет / Саша Клименко
@normalno_delaj · 21,596
Telegram ranks this channel #18 of 96 here — alongside 95 others — read 22 September 2026
Product Management & AI
@ruspm · 25,102
Telegram ranks this channel #18 of 97 here — alongside 96 others — read 14 September 2026
Fresh Product Manager
@FreshProductGo · 19,938
Telegram ranks this channel #19 of 95 here — alongside 94 others — read 29 September 2026
GoPractice!
@gopractice · 28,894
Telegram ranks this channel #19 of 97 here — alongside 96 others — read 9 September 2026
Black product owner | Тигран Басеян о продакт менеджменте и стартапах
@blackproduct · 21,246
Telegram ranks this channel #20 of 93 here — alongside 92 others — read 24 September 2026
Hire ProProduct - Продуктовые вакансии
@hireproproduct · 24,343
Telegram ranks this channel #21 of 98 here — alongside 97 others — read 17 September 2026
No Flame No Game
@proproduct · 38,658
Telegram ranks this channel #26 of 96 here — alongside 95 others — read 31 August 2026
Вакансии для продактов и проджектов
@product_jobs · 36,413
Telegram ranks this channel #30 of 96 here — alongside 95 others — read 2 September 2026
Вакансии для продакт-менеджеров
@productjobgo · 22,948
Telegram ranks this channel #32 of 96 here — alongside 95 others — read 20 September 2026
Продакты не нужны
@betternotworse · 28,408
Telegram ranks this channel #32 of 96 here — alongside 95 others — read 9 September 2026
Менеджер от боженьки
@pm_god · 25,102
Telegram ranks this channel #34 of 98 here — alongside 97 others — read 14 September 2026
Игорь Кузнецов о темных паттернах
@brainshare · 21,837
Telegram ranks this channel #40 of 93 here — alongside 92 others — read 22 September 2026
AgileFluent: карьера без границ
@agilefluent · 47,139
Telegram ranks this channel #50 of 95 here — alongside 94 others — read 28 August 2026
🔥 Дмитрий Ирешев: AI • Продукты • Проекты
@dmitrii_ireshev_Agile_PMP · 33,395
Telegram ranks this channel #57 of 97 here — alongside 96 others — read 12 September 2026
Фичизм
@fichism · 25,343
Telegram ranks this channel #58 of 96 here — alongside 95 others — read 14 September 2026
Job for Products and Projects
@forproducts · 70,241
Telegram ranks this channel #58 of 98 here — alongside 97 others — read 20 August 2026
Teamlead Good Reads – ежедневные советы про менеджмент людей и команд
@leadgr · 27,961
Telegram ranks this channel #62 of 96 here — alongside 95 others — read 10 September 2026
Ваня Замесин
@zamesin · 50,019
Telegram ranks this channel #62 of 97 here — alongside 96 others — read 25 August 2026
Вправо Вверх 📈 Михаил Табунов
@bossofyourboss · 27,434
Telegram ranks this channel #66 of 95 here — alongside 94 others — read 10 September 2026
Дашич, беги🚀
@dashich_begi · 40,909
Telegram ranks this channel #76 of 96 here — alongside 95 others — read 1 September 2026
Hard Client
@hardclient · 22,888
Telegram ranks this channel #89 of 97 here — alongside 96 others — read 19 September 2026
Reveal the Data
@revealthedata · 27,769
Telegram ranks this channel #89 of 96 here — alongside 95 others — read 10 September 2026

This channel appears in 25 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 17 October 2026 — this entry's latest reading, not the date you are reading this.

“ProductDo: практика продакта” (@productdo), 24,333 subscribers as measured 17 October 2026. Telegram Register, tgregister.com/channel/productdo.

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.