Telegram RegisterThe public register of Telegram

Channel

Заметки продакта

@productnotez

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

104subscribers

+0 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-1002107513200
TypeChannel
Username@productnotez
Descriptionмысли по управлению продуктом в финтехе и просто о жизни👾 @daryaalexeeva
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/productnotez

Growth

1047 August 2026 — 104 subscribers9 August 2026 — 104 subscribers7 August 20269 August 2026
2 measurements spanning 2 days. 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 103–105 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 09:31104no change
7 Aug 2026, 17:02104first reading

Engagement

13 posts held, back to 31 March 2025the 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
167.3%
avg views ÷ 104 subscribers
Avg views / post
174
2 posts measured
Reaction rate
9.20%
reactions ÷ views · ER floor
Posts in window
2
of 13 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 held13 (31 March 202517 July 2026)
Views total348
Reactions total32
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 09:31 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
43
Videos
11
Links
7

Lifetime counters from Telegram’s own channel header, read 9 August 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
24s
Average length
12s

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

287 reactions across 13 posts, in 15 distinct kinds. The most used accounts for 25.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥7325.4%
5719.9%
❤‍🔥4716.4%
😁4114.3%
👍113.83%
💘113.83%
🤣103.48%
62.09%
62.09%
🍓62.09%
🐳51.74%
💅51.74%
🦄41.39%
😎31.05%
20.697%

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 13 of the 13 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 287reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 31 March 2025 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.

Recent posts

17 Jul 2026, 16:28 UTC100 views9 reactionsread 9 August 2026
Video

Детали и CV в личку🙌🏻

🔥4🦄2🍓1👍1😎1

17 Jul 2026, 16:20 UTC248 views23 reactionsread 9 August 2026
Photo

Это я в июне на Productcamp выступала Щас отчеты за квартал пишу уже🧑‍💻 Как эксперт провела кружок анонимных карьеристов🤓 Обсудили найм РО: -что важно подчеркнуть в резюме, а что лучше опустить -как готовиться к собеседованию -на что обращают внимание СРО при найме продакта

13💅5🔥5

12 Feb 2026, 15:29 UTC446 views26 reactionsread 9 August 2026

Когда ты CPO 10 продуктов и 15 спортсменов РО, ощущается примерно так же😸

😁17🤣6🐳3

12 Feb 2026, 15:29 UTC422 views14 reactionsread 9 August 2026
Forwarded from @Mdk_prVideo

Неожиданной звездой зимней Олимпиады-2026 стал французский тренер по фигурному катанию Бенуа Ришо — он работает сразу с 16 спортсменами из 13 разных стран. В отдельных соревнованиях его ученики выходили на лёд друг за другом, поэтому тренеру приходилось буквально за минуты переодеваться в цвета той сборной, которую представлял очередной фигурист. Зрители быстро обратили внимание на эту карусель с костюмами и назвал

😁10🤣4

11 Jan 2026, 12:33 UTC423 views35 reactionsread 9 August 2026
Photo

Врываюсь в новый год ❄️❄️❄️

🔥18116

5 Aug 2025, 15:24 UTC796 views15 reactionsread 9 August 2026

Обещала поделиться записью подкаста в Высшей школе экономики по теме продуктового менеджмента держите👐 На подкасте мы обсудили: - что такое продуктовая культура и почему она важна -как правильно определить потребности пользователей -какие ключевые метрики важны для оценки успеха продукта -как стать успешным РО

🔥12❤‍🔥21

3 Aug 2025, 17:15 UTC584 views25 reactionsread 9 August 2026
Photo

Физкульт привет👋 Скандинавская ходьба - мое новое любимое времяпрепровождение)) плюсы: + не так напряжно как бег + работают мышцы спины (если правильно ходить) + кайфово гулять парке и дышать свежим воздухом ( мой любимый парк - Ларисы Лазутиной) + можно заодно болтать с подругами от том о сем💁🏼‍♀️

13💘6🔥4👍2

2 Aug 2025, 16:14 UTC482 views23 reactionsread 9 August 2026
Video

Бывает😸

😁144🐳2👍2🦄1

27 Jul 2025, 14:19 UTC515 views31 reactionsread 9 August 2026
Photo

Как я снимаю стресс Как бы я ни любила свою работу, все равно в ней бывает много стресса. Особенно когда дело касается публичных выступлений😛 Бороться с ним мне помогает в первую очередь тщательная подготовка. И еще в свободное время чтоб более качественно отдохнуть, стараюсь переключиться и освободить голову от мыслей о работе. Один из моих любимых способов это рукоделие. Плету вот себе обвесы на сумки)) Для меня

❤‍🔥179💘5

25 Jul 2025, 18:22 UTC645 views23 reactionsread 9 August 2026
Photo

Сегодня мы коллегой, Егором Шаховым @egorshakhov снялись в подкасте для Высшей школы экономики😎😎 ВШЭ набирает абитуриентов на курс Продакт-менеджер 🧑‍🎓 Вместе с руководителем программы, Татьяной Архиповой, поговорили о том, кто такой продакт и как им стать

🔥155😎2🍓1

1 Apr 2025, 11:08 UTC740 views38 reactionsread 9 August 2026
Photo

Сегодня провожу карьерные консультации на стенде Альфа-банка на конференции Product focus club❤️ темы, на которых специализируюсь: -как сделать команду самостоятельной -как наладить отношения со стейхолдерами -как продакту расти и развиваться до CPO

❤‍🔥22🔥7👍6🍓3

31 Mar 2025, 16:26 UTC868 views17 reactionsread 9 August 2026

Мой топ AI для ускорения работы 🤓 my meet ai для транскрибации встреч и протоколов. мне оч помог при репетициях докладов, сохранить наиболее удачные фразы и всю обратную связь сразу, не отвлекаясь 👨‍🎨 gamma ai для презентаций (реферальная ссылка на 200 credits вам и мне) можно прям в нее загрузить основные тезисы по разделам доклада и она все красиво сверстает в том числе с инфографикой и картинки подберет. Красивы

🔥8621

Showing the 12 most recent of 13 posts we hold for @productnotez. 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

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

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

“Заметки продакта” (@productnotez), 104 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/productnotez.

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.