Telegram RegisterThe public register of Telegram

Channel

CPO Cafe

@productcafeteria

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

341subscribers

+0 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001556705739
TypeChannel
Username@productcafeteria
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/productcafeteria

Growth

3418 Aug 2026, 12:15 — 341 subscribers8 Aug 2026, 16:23 — 341 subscribers8 Aug 2026, 12:158 Aug 2026, 16:23
2 measurements taken within a single day. 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 340–342 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 16:23341no change
8 Aug 2026, 12:15341first reading

Engagement

20 posts held, back to 10 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
42.2%
avg views ÷ 341 subscribers
Avg views / post
144
1 post measured
Reaction rate
3.47%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 17 July 2026
Posts held20 (10 February 202617 July 2026)
Views total144
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:15 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 55s
Average length
3m 55s

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

197 reactions across 20 posts, in 16 distinct kinds. The most used accounts for 22.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4422.3%
🔥3618.3%
3115.7%
😁2412.2%
❤‍🔥147.11%
🐳147.11%
🏆115.58%
🦄73.55%
👻31.52%
💯31.52%
🙏31.52%
👌21.02%
😱21.02%
🌚10.508%
🤔10.508%
🤝10.508%

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 20 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 197reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 10 February 2026 to 17 July 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
33
across the posts below
Posts paid on
19
of 20 we hold a reading for · 95%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @productcafeteria. 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 20 most recent posts we hold for this entry, published 10 February 2026 to 17 July 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

17 Jul 2026, 11:09 UTC144 views5 reactionsread 8 August 2026
Photo

Полугодовой итог по OKR уже подвели? 🤠

😁5

Signed Максим Михалев

6 Jul 2026, 06:03 UTC307 views5 reactions1 Starread 8 August 2026
Photo

Ещё один вопрос из той же дискуссии про ИИ, о которой я писал в предыдущем посте. Звучал он примерно так: AI усиливает оригинальное мышление — или постепенно его стандартизирует? На мой взгляд, это ложная дилемма. ИИ делает и то, и другое. Просто с разными людьми. Если у человека уже есть собственная рамка, модель может усиливать мышление: снимает часть рутины формулирования, даёт быстрый спарринг, помогает провери

👍4👌1

Signed Максим Михалев

26 Jun 2026, 06:29 UTC234 views11 reactions2 Starsread 8 August 2026
Photo

На днях я был в дискуссионном клубе, где мы обсуждали искусственный интеллект. Вопросов там было много, поэтому, наверное, напишу на эту тему несколько постов, но один тезис меня особенно зацепил. Звучал он примерно так: в эпоху ИИ критическое мышление становится всё важнее, при этом молодое поколение из-за ИИ как раз теряет способность критически мыслить. На этом вопросе я заволновался внутри. Не потому что тези

7❤‍🔥2👌1👍1

Signed Максим Михалев

2 Jun 2026, 06:14 UTC399 views13 reactions2 Starsread 8 August 2026
Photo

Спасет ли нас Human-in-the-loop? Этот текст вырос из разговора с приятелем. Он пишет статью с неожиданным заходом: что если к AI-агентам попробовать применить логику авиационной сертификации? Не в смысле красивой метафоры, а как инженерную дисциплину надёжности: уровни риска, отказоустойчивость, каскадные сбои, контроль точек отказа. Все это — попытка собрать более строгий ответ на проблему галлюцинаций и агентных

👍8❤‍🔥5

Signed Максим Михалев

15 May 2026, 06:33 UTC281 views9 reactions1 Starread 8 August 2026
Photo

У меня с расходами на кофе так 🤪

😁9

Signed Максим Михалев

13 May 2026, 07:44 UTC329 views18 reactions3 Starsread 8 August 2026
Photo

Стратегия начинается с самоопределения Любая стратегия начинается с цели. Желательно — амбициозной. О том, как ставить цели, есть много методик: от SMART до OKR. Но у всех у них один общий изъян — они ничего не говорят о том, как сделать цель своей. Почему это важно? Если цель не ваша, а ещё и по-настоящему амбициозная — вы либо сгорите по пути, либо соскочите. Как говорил Ницше, человек может перенести почти любое

5👍5❤‍🔥4🏆4

Signed Максим Михалев

25 Apr 2026, 12:14 UTC361 views12 reactions2 Starsread 8 August 2026
Photo

Вангую нишу, где появится новый единорог В прошлые выходные я решил собрать маленький мультиагентный пайплайн для обработки книг в структурированные конспекты. Возьми Make и сделай это за 15 минут, говорили они. Будет просто, говорили они. Все выходные я сначала бился с Make, потом с n8n — вы знали, что надо произносить «нейтен»? Я — нет. В итоге результат на 3+ я получил, но когда прикинул, сколько ещё придётся про

🐳5❤‍🔥32🔥2

Signed Максим Михалев

15 Apr 2026, 13:03 UTC301 views8 reactions2 Starsread 8 August 2026
Photo

Менеджер умер. Да здравствует менеджер В прошлых постах я сделал два утверждения. Первое: настоящий hard skill менеджера — не фреймворки, а способность видеть систему, рефлексировать и менять способ действия. Кто этого не делает — администрирует, а не управляет. Второе: настоящий сдвиг от AI случится, когда агенты войдут в контур управления и начнут не просто исполнять, а менять свой объект управления. Пора соеди

👍7🌚1

Signed Максим Михалев

27 Mar 2026, 13:37 UTC287 views8 reactions2 Starsread 8 August 2026
Video

Немного пятничного юмора В подкасте, о котором я писал в предыдущем посте, есть часть, где в качестве метафоры ИИ-менеджера я привожу Железного Дровосека — у него нет сердца, и он, как и ИИ-менеджер, не может брать ответственность по-настоящему. Дальше мы вспомнили мем, что из всей четвёрки, шедшей по дороге из жёлтого кирпича, только у Элли была цель — вернуться домой, остальные же просто шли с ней (их личные цели

🔥5🐳2🦄1

Signed Максим Михалев

23 Mar 2026, 14:01 UTC435 views16 reactions2 Starsread 8 August 2026

Я снова у мамы подкастер Записали с Никитой Ефимовым трёхчасовой разговор про управление, лидерство и ИИ для его подкаста Leadership Focus. Думали, получится один выпуск — получилось четыре. Потому что когда начинаешь копать, что такое объект управления, зачем нужны фреймворки и где проходит граница между менеджером и AI-агентом, — за час не уложишься. О чём поговорили: почему большинство менеджеров не понимают, че

🏆7🔥5💯3👍1

Signed Максим Михалев

20 Mar 2026, 12:30 UTC312 views8 reactions2 Starsread 8 August 2026
Photo

Что у вас там в внедрением ИИ? 🤖

😁5🐳3

Signed Максим Михалев

18 Mar 2026, 07:02 UTC325 views10 reactions2 Starsread 8 August 2026
Photo

Ваня Замесин такого не расскажет Нет, это не атака на Ваню, он правда делает важное образовательное дело. Однако продуктовые советы про сегменты и кастдев отлично работают ровно до момента, пока вы не оказываетесь в ситуации, где рынка как такового ещё нет. Есть только офигенная идея в голове и желание ее быстрее превратить в продукт. И вот тут учебниковый алгоритм — найди сегмент, проведи интервью, выяви проблемы —

7🙏2👍1

Signed Максим Михалев

Showing the 12 most recent of 20 posts we hold for @productcafeteria. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 793,510 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 1 registered channel — 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.

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.

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“CPO Cafe” (@productcafeteria), 341 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/productcafeteria.

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.