Я Камилла — Product Lead в Т-Банке
Выстраиваю процессы исследований и быстрого тестирования гипотез, занимаюсь развитием продактов и продуктовой культуры во всем Т, обучаю делать классную активацию в продукте.
@shenzzzi
Created
28 November 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Technology — 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 56% 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 the other topics.
Growth
57 measurements spanning 95 days, net -350. 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 15,723–16,178 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
9 Nov 2026, 16:01
15,775
-42
8 Nov 2026, 05:20
15,817
-14
7 Nov 2026, 01:27
15,831
-7
4 Nov 2026, 22:09
15,838
-3
3 Nov 2026, 21:36
15,841
+1
3 Nov 2026, 00:44
15,840
-3
2 Nov 2026, 03:17
15,843
-2
1 Nov 2026, 02:55
15,845
-2
31 Oct 2026, 03:09
15,847
-2
30 Oct 2026, 01:40
15,849
-8
29 Oct 2026, 04:30
15,857
-4
28 Oct 2026, 00:51
15,861
-6
25 Oct 2026, 23:11
15,867
-16
25 Oct 2026, 02:07
15,883
-10
24 Oct 2026, 00:41
15,893
+2
22 Oct 2026, 22:06
15,891
-9
21 Oct 2026, 18:55
15,900
-2
20 Oct 2026, 17:58
15,902
-4
19 Oct 2026, 18:08
15,906
-13
18 Oct 2026, 20:19
15,919
first reading
Engagement
26 posts held, back to 27 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.2%
avg views ÷ 15,775 subscribers
Avg views / post
1,760
7 posts measured
Reaction rate
1.73%
reactions ÷ views · ER floor
Posts in window
7
of 26 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
Window
Rolling 30 days · latest post in window 9 November 2026
Posts held
26 (27 September 2025 – 9 November 2026)
Views total
12,341
Reactions total
214
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 17:45 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
147
Videos
9
Links
318
Lifetime counters from Telegram’s own channel header, read 10 November 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
1m 09s
Average length
1m 09s
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
940 reactions across 25 posts, in 15 distinct kinds. The most used accounts for 45.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
426
45.3%
🔥
274
29.1%
😁
79
8.40%
👍
47
5.00%
🥰
27
2.87%
😱
26
2.77%
😭
24
2.55%
🎉
9
0.957%
👏
6
0.638%
💯
6
0.638%
😍
5
0.532%
🤩
4
0.426%
🗿
3
0.319%
😐
3
0.319%
🤣
1
0.106%
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 25 of the 26 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 940 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 27 September 2025 to 9 November 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
5
across the posts below
Posts paid on
4
of 26 we hold a reading for · 15%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @product_channel_fit. 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 26 most recent posts we hold for this entry, published 27 September 2025 to 9 November 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
Telegram’s own ‘edited’ marker: 0 of 7 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
📣 GuardConf 2026 для тех, кто создаёт софт и отвечает за его развитие
Как быстрее выпускать софт без потери качества? Что выгоднее: разработать собственное решение или выбрать готовое? Как защищать код, выбирать модель монетизации и оценивать реальную пользу ИИ?
12 ноября в Москве и онлайн пройдет GuardConf 2026 — конференция о разработке, защите и монетизации софта от Guardant. В программе два трека:
🗣 «Стратегия…
Я вот не могу принять тот факт, что клод меня забанил, поэтому вместе с кодексом настраиваю свой vps со статическим ip, чтобы попробовать еще раз. Но если и в этот раз забанят, пересяду на кодекс
Ощущается как использовать нового парня, чтобы вернуть бывшего))
А вы там как с этими банами?
На самом деле не только мой стендап выложили, а вообще все-все-все — сохраняйте себе и смотрите, как одна из программного комитета подтверждаю, что были очень топовые доклады!
Особенно рекомменд те, что в посте 🩷
Не успели посмотреть всё на «Продуктах 24 × ffdd2d»? Собрали записи в одном месте! 👀
В сентябре мы сделали конференцию не по шаблону: три зала, продуктовые кейсы, неожиданные форматы и честные разговоры о том, как мы устроены.
Доклады о продуктах и не только:
— Максим Кирилычев — «Почему хорошие решения не всегда рождаются по правилам»
— Иван Стельмах — «Стань тем, не знаю кем. Что такое современный университет»
…
Здравствуйте, тут выложили мой стендап с продукты24!
Смотреть тут
Вообще я была уверена, что записи не будет, потому что не было онлайн-трансляяции! Так что это стало сюрпризом и я немного стесняюсь вам это показывать, а еще мне не нравится, что я какой-то пирожочек тут, но что поделать.
А еще недавно мне написали и пригласили выступать на одной конфе со словами "видели ваш новый вектор - стендап выступления", вот…
Яндекс вчера написал, что вернули около 90% хранящихся данных в Яндекс Клауде, и вместе с ним и данные нашего приложения.
Можно было просто подождать несколько дней, получается, знать бы еще, конечно. Тогда во мне боролся внутренний продакт, который хотел починить побыстрее и живой человек, который не хотел тратить на это выходные, и продакт победил -_- Но и хорошо, 300 новых пользователей за эти дни увидели не беск…
На прошлой неделе выложила верхнюю фотку с подписью «это и никакого вайбкодинга», и мгновенно накаркала — пришло сообщение о том, что наше приложение с тренировками по капоэйре не работает (это из-за ударов по Яндексу).
Да, это был пет-проджект, поэтому о том, что что-то не работает, мы узнаем от пользователей)
Меня вообще каждый раз удивляет, что в такой узкой нише у нас постоянно отзывы приходят, и не почиллишь в…
Мой карьерный рост:
— на прошлой неделе добавили в авторы канала с мемами
— в субботу выступила со стендапом
— через две недели иду на тренинг по клоунаде
коллеги, я туда иду или не туда? 🙂
Здравствуйте я давно уже должна бы позвать вас на конфу Продукты 24&FFDD2D, но все затягивала, потому что нет времени!
А нет времени, потому что мы все время чем-то заняты:
— готовим для вас топовых спикеров (сегодня были два прогона)
— вычитываем сценарии (я буду вести зал про слом шаблонов)
— собираем плейлисты (я собирала плейлист 80х, который будет на крыше)
Уже в эту субботу 12 сентября! Пока можно зарегаться …
Из новостей:
1. Обновила и зарелизила мобильное приложение с клодом!
Кто со мной давно, знает, что у меня есть приложение с тренировками Capoeira Daily, мы сделали его 6 лет назад)
AppStore беспроблемные — выложил приложение и кайфуешь (только плати каждый год), а плеймаркет бесплатный, но им постоянно чето от тебя надо: обновись, иначе удалим, дай паспорт, иначе удалим, жмакни галку, иначе удалим
В итоге наше пр…
❤32🔥22👏5🥰1
Showing the 12 most recent of 26 posts we hold for @product_channel_fit. 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.
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 3 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Нормально делай, нормально будет / Саша Клименко @normalno_delaj · 21,965 Telegram ranks this channel #11 of 96 here — alongside 95 others — read 22 September 2026
ProductDo: практика продакта @productdo · 25,000 Telegram ranks this channel #17 of 97 here — alongside 96 others — read 17 September 2026
Фичизм @fichism · 25,275 Telegram ranks this channel #19 of 96 here — alongside 95 others — read 14 September 2026
Black product owner | Тигран Басеян о продакт менеджменте и стартапах @blackproduct · 21,248 Telegram ranks this channel #23 of 93 here — alongside 92 others — read 24 September 2026
No Flame No Game @proproduct · 38,615 Telegram ranks this channel #24 of 96 here — alongside 95 others — read 31 August 2026
GoPractice! @gopractice · 29,393 Telegram ranks this channel #25 of 97 here — alongside 96 others — read 9 September 2026
Продукторий Владимира Меркушева @vladimir_merkushev · 21,822 Telegram ranks this channel #26 of 96 here — alongside 95 others — read 21 September 2026
Hard Client @hardclient · 22,912 Telegram ranks this channel #28 of 97 here — alongside 96 others — read 19 September 2026
Product Management & AI @ruspm · 25,014 Telegram ranks this channel #28 of 97 here — alongside 96 others — read 14 September 2026
Epic Growth — рост продуктов @epicgrowth · 26,082 Telegram ranks this channel #28 of 97 here — alongside 96 others — read 12 September 2026
Fresh Product Manager @FreshProductGo · 19,877 Telegram ranks this channel #30 of 95 here — alongside 94 others — read 29 September 2026
Индекс дятла @dindex · 22,231 Telegram ranks this channel #31 of 98 here — alongside 97 others — read 21 September 2026
Игорь Кузнецов о темных паттернах @brainshare · 21,719 Telegram ranks this channel #36 of 93 here — alongside 92 others — read 22 September 2026
Reveal the Data @revealthedata · 27,678 Telegram ranks this channel #37 of 96 here — alongside 95 others — read 10 September 2026
Продакты не нужны @betternotworse · 28,396 Telegram ranks this channel #37 of 96 here — alongside 95 others — read 9 September 2026
Вправо Вверх 📈 Михаил Табунов @bossofyourboss · 27,282 Telegram ranks this channel #43 of 95 here — alongside 94 others — read 10 September 2026
🔥 Дмитрий Ирешев: AI • Продукты • Проекты @dmitrii_ireshev_Agile_PMP · 35,144 Telegram ranks this channel #59 of 97 here — alongside 96 others — read 12 September 2026
Ваня Замесин @zamesin · 50,088 Telegram ranks this channel #65 of 97 here — alongside 96 others — read 25 August 2026
Менеджер от боженьки @pm_god · 25,037 Telegram ranks this channel #68 of 98 here — alongside 97 others — read 14 September 2026
Hire ProProduct - Продуктовые вакансии @hireproproduct · 24,920 Telegram ranks this channel #70 of 98 here — alongside 97 others — read 17 September 2026
Дашич, беги🚀 @dashich_begi · 41,038 Telegram ranks this channel #70 of 96 here — alongside 95 others — read 1 September 2026
Teamlead Good Reads – ежедневные советы про менеджмент людей и команд @leadgr · 30,382 Telegram ranks this channel #72 of 96 here — alongside 95 others — read 10 September 2026
This channel appears in 22 seed channels' Telegram-generated recommendation lists 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Камилла Самохина Ӏ Product channel fit” (@product_channel_fit), 15,775 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/product_channel_fit.
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.