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Channel

Японский продакт

@pmkaizen

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

222subscribers

-2 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002442373052
TypeChannel
Username@pmkaizen
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/pmkaizen

Growth

2222242237 August 2026 — 224 subscribers8 August 2026 — 224 subscribers15 August 2026 — 222 subscribers7 August 202615 August 2026
3 measurements spanning 7 days, net -2. 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 222–224 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 00:47222-2
8 Aug 2026, 10:30224no change
7 Aug 2026, 17:39224first reading

Engagement

15 posts held, back to 12 June 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
61.8%
avg views ÷ 222 subscribers
Avg views / post
137
6 posts measured
Reaction rate
4.13%
reactions ÷ views · ER floor
Posts in window
6
of 15 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 August 2026
Posts held15 (12 June 20265 August 2026)
Views total823
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 10:30 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
12s
Average length
12s

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

115 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 78.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9078.3%
💯108.70%
🔥54.35%
🤣54.35%
👍43.48%
🌚10.87%

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 14 of the 15 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 115reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 12 June 2026 to 5 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.

Recent posts

5 Aug 2026, 13:14 UTC71 views6 reactionsread 8 August 2026

Качественная работа - Доверие - Повторные продажи - Рентальность Повторяй этот цикл. Это твой ключ к успеху в корпорациях. Японский продакт

6

3 Aug 2026, 21:36 UTC115 views3 reactionsread 8 August 2026

Сайты российских банков и их веб-приложение перестали открываться в зарубежных браузерах - на самом деле, открываются, но теперь: 1. Нужно это делать с доп нажатием на «все равно открыть» 2. Установить сертификаты от Минцифры 3. Перейти на отечественный браузер, например, от Яндекса. В целом ничего критичного, но уже виден тренд на разделение отечественного и зарубежного интернета. Дальнейшие шаги - это отключе

3

29 Jul 2026, 06:35 UTC157 views5 reactionsread 8 August 2026
Photo

Так что в итоге, договорились? Японский продакт

🤣5

26 Jul 2026, 21:26 UTC198 views9 reactionsread 8 August 2026
Photo

OpenAI показала клавиатуру, на которой почти не осталось кнопок. Последние 40 лет мы проектировали продукты вокруг интерфейсов: экранов, меню, форм, десятков кнопок. Но когда между человеком и продуктом появляется ИИ-агент, значительная часть этого становится лишним слоем взаимодействия. Вместо того чтобы искать нужную функцию, достаточно сформулировать намерение: «Сделай», «Найди», «Подготовь». Из-за этого будут и

7🔥2

25 Jul 2026, 20:41 UTC151 views6 reactionsread 8 August 2026

Приятное удивление от моей цитаты в презентации коллеги. Полный газ, Настя, публичные выстпуления - это важно. Японский продакт

6

25 Jul 2026, 20:38 UTC131 views5 reactionsread 8 August 2026
Forwarded from @carbonaldentePhoto

выступила сегодня на лектории Dprofile 🔥 было прикольно! да и получилось подготовить выступление в сжатые сроки неплохо. опять же, ещё раз, спасибо моим коллегам, с кем успели поболтать о дизайне без исследований. говорят, будет запись, возможно выложу. пока могу фоточки показать если кому-то нужна презентация, то маякните

5

12 Jul 2026, 22:11 UTC223 views6 reactionsread 8 August 2026

Твой мозг действует как инвестор. Брайан Кнутсон из Стэнфорда сканировал мозг людей в момент, когда они разглядывали товар и его цену. Пока человек смотрел на желанную вещь, активнее работала зона, связанная с предвкушением награды. А когда появлялась цена, которая казалась завышенной, включалась островковая доля - участок, который реагирует в том числе на физическую боль. Расставание с деньгами мозг в буквальном

6

8 Jul 2026, 20:37 UTC220 views11 reactionsread 8 August 2026

Одна из недооцененных проблем в корпоративных продуктах - когнитивная нагрузка выбора. Сотрудник редко мыслит категориями оргструктуры. Он не думает: «Мне нужен HR-раздел» или «Мне нужна ИТ-функция», а думает задачей: «Как оформить командировку?», «Где мой доступ?», «Что делать с отпуском?» Если продукт заставляет сначала выбрать правильный раздел, систему или сценарий, он перекладывает свою работу на пользователя.

11

7 Jul 2026, 08:01 UTCviews —

Японский продакт pinned «Многие компании думают, что им нужен редизайн. На самом деле им нужен честный разбор: почему цифровой продукт не дает нужный эффект. Сайт может не продавать, приложение - терять пользователей, а внутренний сервис - отнимать время у сотрудников. Внешне все…»

7 Jul 2026, 07:56 UTC222 views11 reactionsread 8 August 2026

Многие компании думают, что им нужен редизайн. На самом деле им нужен честный разбор: почему цифровой продукт не дает нужный эффект. Сайт может не продавать, приложение - терять пользователей, а внутренний сервис - отнимать время у сотрудников. Внешне все выглядит нормально, при этом люди не доходят до цели, ошибаются, пишут в поддержку или решают задачу вручную. Я занимаюсь продуктовым редизайном цифровых сервисо

11

2 Jul 2026, 20:59 UTC377 views13 reactionsread 8 August 2026

Сильного специалиста отличает умение работать не только с понятными задачами, но и с неопределеннстью. Когда человеку нужен подробный бриф, готовая логика и список шагов, он просто внедряет уже придуманное решение. Сеньор действует иначе: слышит цель, сам разбирается в контексте, задает вопросы, находит ограничения и превращает хаос в план. Его ценность не в том, что он ждет инструкций, а в том, что сам понимает, ч

💯76

29 Jun 2026, 22:50 UTC261 views11 reactionsread 8 August 2026

Пришел в гости на подкаст к @trumpelIT Для давних моих читателей может быть интересно «почитать» канал в таком формате, так как Виктор очень постарался и задал максимально разные вопросы про то, как делать продукты. Будет полезно тем, кто запускает внутренние продукты для сотрудников. Спасибо Виктору за такую возможность, обнял! https://www.youtube.com/watch?v=Hnv_zObNdQg Японский продакт

8🔥3

Showing the 12 most recent of 15 posts we hold for @pmkaizen. 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.

Citation-graph rank

Citation-graph rank — 286,982 of 1,480,975entries 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.

Forward network

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

“Японский продакт” (@pmkaizen), 222 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/pmkaizen.

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.