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Telegram profile photo for Борода продакта

Channel

Борода продакта

@productclub

Has discussion group

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

14,051subscribers

-96 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-1001025953977
TypeChannel
Username@productclub
Created15 February 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded5 August 2026
Last confirmed live17 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/productclub

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 89% 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

14,04514,15414,099.55 August 2026 — 14,147 subscribers7 August 2026 — 14,154 subscribers7 August 2026 — 14,152 subscribers9 August 2026 — 14,145 subscribers10 August 2026 — 14,142 subscribers11 August 2026 — 14,133 subscribers12 August 2026 — 14,132 subscribers13 August 2026 — 14,128 subscribers14 August 2026 — 14,123 subscribers16 August 2026 — 14,120 subscribers17 August 2026 — 14,118 subscribers18 August 2026 — 14,119 subscribers19 August 2026 — 14,118 subscribers20 August 2026 — 14,109 subscribers21 August 2026 — 14,107 subscribers23 August 2026 — 14,104 subscribers24 August 2026 — 14,096 subscribers25 August 2026 — 14,095 subscribers26 August 2026 — 14,093 subscribers27 August 2026 — 14,089 subscribers29 August 2026 — 14,087 subscribers30 August 2026 — 14,090 subscribers31 August 2026 — 14,087 subscribers1 September 2026 — 14,088 subscribers2 September 2026 — 14,084 subscribers4 September 2026 — 14,079 subscribers7 September 2026 — 14,072 subscribers10 September 2026 — 14,065 subscribers12 September 2026 — 14,060 subscribers15 September 2026 — 14,045 subscribers17 September 2026 — 14,051 subscribers14,0515 August 202617 September 2026
31 measurements spanning 43 days, net -96. 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 14,029–14,170 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
17 Sept 2026, 21:4114,051+6
15 Sept 2026, 15:4114,045-15
12 Sept 2026, 08:0114,060-5
10 Sept 2026, 06:5514,065-7
7 Sept 2026, 01:2014,072-7
4 Sept 2026, 07:1714,079-5
2 Sept 2026, 21:2314,084-4
1 Sept 2026, 18:3314,088+1
31 Aug 2026, 22:0414,087-3
30 Aug 2026, 21:4514,090+3
29 Aug 2026, 21:3814,087-2
27 Aug 2026, 17:3714,089-4
26 Aug 2026, 19:1314,093-2
25 Aug 2026, 20:0414,095-1
24 Aug 2026, 20:5714,096-8
23 Aug 2026, 09:3614,104-3
21 Aug 2026, 17:4714,107-2
20 Aug 2026, 17:2414,109-9
19 Aug 2026, 15:2714,118-1
18 Aug 2026, 12:5214,119first reading

Engagement

22 posts held, back to 13 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 51 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 22 posts for this entry, the most recent from 27 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 00s
Average length
1m 00s

Measured directly from 1 video 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

495 reactions across 21 posts, in 10 distinct kinds. The most used accounts for 31.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍15431.1%
❤14529.3%
🔥9920.0%
😁5811.7%
🤔173.43%
🦄132.63%
👎40.808%
👏30.606%
😱10.202%
🤯10.202%

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 21 of the 22 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 495 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 13 May 2026 to 27 August 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
1
across the posts below
Posts paid on
1
of 22 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @productclub. 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 22 most recent posts we hold for this entry, published 13 May 2026 to 27 August 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.

Recent posts

27 Aug 2026, 09:54 UTC≈1,230 views13 reactionsread 2 September 2026
Photo

Во-вторых, продуктовое мышление все-таки не мета-навык. В том смысле, что подразумевает не только наличие знаний о мире, как категорий мышления, в рамках которых можно думать, но умений и навыков, через которые эти знания воплощаются в принятие решений. Например, JTBD это не только мышление о продукте в категории "работы потребителя", но и набор конкретных механик исследования этих потребителей и формирование концепц…

❤11🔥2

Signed Sergey Tikhomirov

27 Aug 2026, 09:54 UTC≈1,060 views8 reactionsread 2 September 2026

Интересным вопросом на подумать стал "Что произойдет с продуктовым мышлением как навыком к концу 2027 года?" Большинство отвечает, что мышление либо превратится в мета-навык, либо станет обязательным для всех руководителей. Несмотря на важность и продвижение продуктового мышления, я не соглашусь ни с первыми, ни со вторыми. И вот почему. Любое мышление - это мышление определенными категориями (объектами). Разные типы…

🔥4🦄2❤1👏1

Signed Sergey Tikhomirov

27 Aug 2026, 09:54 UTC≈1,090 views15 reactionsread 2 September 2026
Photo

Я наконец-то дошел до нормального знакомства с результатами исследования Product Sense за прошлый год, хотя мы даже в подкасте с Юрой Агеевым и Олей Стратанович, когда оно ещё не вышло, затронули пару важных тем из него. Самый заметный слон в нашей продуктовой комнате это ИИ, который вкрячился настолько сильно, что подвинул фокус развития менеджеров по управленческим навыкам с топ-1 в 2024 году (39%) на четвертое ме…

👍10❤5

Signed Sergey Tikhomirov

20 Aug 2026, 09:27 UTC≈1,940 views22 reactionsread 2 September 2026
Video

Ура! Делюсь событием. На курсе "Директор по продукту: управление продуктовой стратегией" мы выпустили 10 юбилейную когорту, а среди студентов были руководители и собственники из Ростелекома, Альфа Банка, Петровакса, департамента Москвы, Lindaily, Ikon Tyres, владелец брендов шоколада RED и Nature, Wink Музыка, Conte, Сбера и других компаний. Вообще, с каждым годом мы видим, что методики управления продуктами всё боль…

🔥19❤3

Signed Sergey Tikhomirov

31 Jul 2026, 12:07 UTC≈2,550 views18 reactionsread 2 September 2026

Грачи на Product Sense 2026 Не так давно я написал заметку на тему, туда ли мы свернули с приходом ИИ, где разобрал два подхода к изменению менеджерской функции: 1. Менеджер продукта как вайбкодер, который использует ИИ для того, чтобы самому запилить продукт с 0 до 1. Человек-команда, который сам и задискаверит, и задеплоит. Его функция – сокращение PDLC (Product Development Life Cycle). Ключевое слово здесь “devel…

👍9🦄5❤2🤔2

30 Jul 2026, 08:32 UTC≈2,410 views45 reactionsread 2 September 2026

Когда палец указывает на небо, дурак смотрит на палец Знаете, я уже много лет занимаюсь образованием взрослых людей. Как приглашенный преподаватель нескольких вузов, как автор и методолог внутрикорпоративных и общих программ, так и просто лектор. Практически каждый поток студентов или отдельное мероприятие я сталкиваюсь с реакцией, которая всегда звучит одинаково: "Так то, что вы рассказываете, это всего лишь X". Эт…

👍34🔥7❤3🤯1

Signed Sergey Tikhomirov

17 Jul 2026, 11:06 UTC≈2,850 views62 reactionsread 2 September 2026
Photo

Ладно, в защиту силы вайбкодинга приложу мем, сделанный семь лет назад.

😁54❤8

Signed Sergey Tikhomirov

16 Jul 2026, 07:30 UTC≈2,960 views20 reactionsread 2 September 2026
Photo

Поэтому встречайте мои рассуждения на тему, туда ли мы свернули с приходом ИИ, как менеджеры продуктов :) Заметка по ссылке https://telegra.ph/Tuda-li-prodaktov-vedyot-II-07-16

❤12👍8

Signed Sergey Tikhomirov

16 Jul 2026, 07:29 UTC≈2,580 views7 reactionsread 2 September 2026
Photo

Помните, некоторое время назад я писал про Community Sprints, где разные эксперты показывали свои кейсы? Надеюсь, кто-то сходил и вдохновился. Мне очень сильно зашли два доклада. 1) Алёны Квашниной из EMCD про автоматизацию сбора данных из соцсетей и открытых источников, потому что это фактически прямой пример реализации Кортекса для Нексуса рынка (термины из PAF). Вот ссылочка на её презентацию. 2) Димы Зборовског…

❤4👍2😱1

Signed Sergey Tikhomirov

14 Jul 2026, 13:56 UTC≈2,350 views37 reactionsread 2 September 2026

"Пантеон" - лучшая фантастика со времён "Задачи трёх тел"! Исключительно прекрасно.

❤24👍10🔥2🤔1

Signed Sergey Tikhomirov

9 Jul 2026, 14:34 UTC≈2,100 viewsread 2 September 2026

Вот так читаешь, читаешь коллег, а потом узнаёшь, что они тоже читают тебя.

Signed Sergey Tikhomirov

9 Jul 2026, 14:34 UTC≈3,070 views21 reactionsread 2 September 2026
Forwarded from @aiforproductPhoto

Продуктовый подход в эпоху ИИ. Что меняется Рядом с ИИ у продакта меняется даже то, что казалось незыблемым. Например, отношение к бэклогу. А что если дело не в том, что у вас плохой бэклог? А в том, что вы вообще управляете продуктом через бэклог. Так предлагает смотреть PAF (Product Architecture Framework) от Сергея Тихомирова, продуктового архитектора и автора канала «Борода продакта». Заглянули в его фреймворк …

👍16❤5

Signed Sergey Tikhomirov

Showing the 12 most recent of 22 posts we hold for @productclub. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

ProductDo: практика продакта
@productdo · 24,122
Telegram ranks this channel #60 of 97 here — alongside 96 others — read 17 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Борода продакта” (@productclub), 14,051 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/productclub.

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.