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Channel

Полтора продакта || Галя Ширанкова

@poltora_producta

On this record: Growth · Engagement · Reactions · Stars · Advertising · Posts · Citations · Cite this entry

3,381subscribers

+11 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002100163909
TypeChannel
Username@poltora_producta
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held5
Confirmed unchanged2 times, most recently 15 August 2026
On Telegramt.me/poltora_producta

Growth

3,3703,3813,375.56 August 2026 — 3,370 subscribers6 August 2026 — 3,370 subscribers6 August 2026 — 3,372 subscribers9 August 2026 — 3,377 subscribers12 August 2026 — 3,381 subscribers6 August 202612 August 2026
5 measurements spanning 6 days, net +11. 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 3,368–3,383 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 10:093,381+4
9 Aug 2026, 10:073,377+5
6 Aug 2026, 17:523,372+2
6 Aug 2026, 04:463,370no change
6 Aug 2026, 04:353,370first reading

Engagement

14 posts held, back to 1 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
28.3%
avg views ÷ 3,381 subscribers
Avg views / post
956
4 posts measured
Reaction rate
6.02%
reactions ÷ views · ER floor
Posts in window
4
of 14 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 4 August 2026
Posts held14 (1 June 20264 August 2026)
Views total3,823
Reactions total230
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:25 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.

Reaction mix

868 reactions across 14 posts, in 23 distinct kinds. The most used accounts for 31.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
27231.3%
❤‍🔥20623.7%
🐳15818.2%
🔥9010.4%
🌚617.03%
343.92%
😎151.73%
😁70.806%
🎉60.691%
👾40.461%
🗿20.23%
😍20.23%
👀10.115%
👎10.115%
👏10.115%
💅10.115%
💊10.115%
💯10.115%
😈10.115%
🤔10.115%
3 further kinds30.346%

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 14 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 868reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 1 June 2026 to 4 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
20
across the posts below
Posts paid on
13
of 14 we hold a reading for · 93%
Most on one post
4
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @poltora_producta. 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 14 most recent posts we hold for this entry, published 1 June 2026 to 4 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.

Advertising

Ad load
7.14%
1 of 14 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
2,090
over 1 measured post
Median views · rest
1,660
over 13 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjepHpDg115 July 202615 July 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 14 most recent posts we hold, published 1 June 2026 to 4 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

4 Aug 2026, 18:06 UTC638 views64 reactions4 Starsread 7 August 2026
Photo

Социальный капитал в продукте Тема, которая волнует меня не первый год. Во многих продуктах существует социальный аспект, как минимум потому, что все пользователи — люди. И их паттерны взаимодействия также могут удерживать и растить метрики, как и классические подходы с оптимизацией воронок. Сегодня предлагаю погрузиться в тему социального капитала как драйвера роста продукта. Социальный капитал — это ценность, зак

19❤‍🔥19🔥19👾4💅1🤷‍♂1🦄1

3 Aug 2026, 16:04 UTC745 views35 reactions2 Starsread 7 August 2026
Photo

PCM, часть вторая — как использовать Голосование у нас получилось на грани фола, так что последний пост. Уже обсудили, что такое «база», теперь поговорим о «фазе» и как использовать РСМ. Если расположить последовательность типов личности конкретного человека как многоэтажный дом, то первым этажом будет база, второй и третий этаж также влияют на поведение и могут путать при попытке понять фильтр собеседника. Вот я,

🐳11🔥9❤‍🔥65🌚3👏1

28 Jul 2026, 16:13 UTC≈1,120 views67 reactions2 Starsread 7 August 2026
Photo

PCM, часть первая, вводная Ребята, совершилось, я начала-таки писать про Process Communication Model. Сегодня расскажу, что это такое, а как применять на практике и чем модель поможет в коммуникации с коллегами и стейкхолдерами, включая руководителя (!) попозже Итак, PCM придумали 50 лет назад из идеи, что форма общения не менее важна, чем смысл обсуждения. Именно через форму человек определяет свой/чужой и слышит и

32❤‍🔥19🌚84🔥4

23 Jul 2026, 16:42 UTC≈1,320 views64 reactions1 Starread 7 August 2026
Photo

Про «чтобы что» и как один вопрос всех обманул Ну, вы слышали про «чтобы что», тут ничего и обсуждать не надо. Я как-то стала забывать, но один разговор мне ярко напомнил. Давайте разбираться, а что не так, валидный же вопрос. А вот что: этот вопрос возникает в двух кейсах — если вы идете от решения к проблеме или пытаетесь собрать контекст, но не самым эффективным путем. Разверну оба тезиса, начну с первого. Сиди

🌚20❤‍🔥19🐳19🔥2🗿21👎1

15 Jul 2026, 16:21 UTC≈2,090 views18 reactions1 Starread 7 August 2026
Advertisementerid 2SDnjepHpDg

Кайференция! Или бесплатный билет на тусу от Pragmatica Я работаю ВКонтакте с легендарным людьми, в том числе с Pragmatica и Илоной Саркисовой, автором канала «Поясни за UX». Она буквально мой лид дизайна, без шуток. Мы с Илоной решили закаллабиться теперь в тележке и разыграть 2 билета на легендарную тусу в это воскресенье (19 июля) в Москве. В программе диджей-сеты, выступления лидов дизайна и состязание по реш

🔥8🎉62❤‍🔥2

9 Jul 2026, 16:18 UTC≈2,080 views98 reactions1 Starread 7 August 2026
Photo

Про негативную обратную связь Пришла высказать непопулярную точку зрения (да, предыдущие были популярные ) У нас сейчас идет ревью и стартовала оценка 360. Конечно, есть кейсы, когда хочется оставить негативный фидбек. И у вас тоже, думаю, есть. А еще есть мнение, что ревью для того и создано, чтобы собрать честную оценку происходящего и помочь найти точки роста. Что так и есть. Но гайз, вы до конца не знаете, как

🐳61❤‍🔥18🔥8🌚72👀1💯1

6 Jul 2026, 16:15 UTC≈1,880 views82 reactions1 Starread 7 August 2026
Photo

От стратегии к задачкам в jira Вы не против продолжать, и мы продолжаем. В прошлом посте речь шла про Grand plan — последовательность шагов для достижения бизнес-цели. Визуализируем на конкретном примере социальной сети(и я вам не скажу, он теоретический или нет, предполагайте сами): 🔻Создать продукт для авторов 🔻Вырастить потребление зрителей 🔻Вырастить взаимодействия с контентом 🔹На этих взаимодействиях построить

54❤‍🔥155🔥5🌚3

30 Jun 2026, 16:19 UTC≈1,760 views104 reactions1 Starread 7 August 2026
Photo

Стратегия от CPO ВКонтакте Вы проголосовали за, поэтому начинаю вас погружать в то, чему учат руководителей в ВК. Все начинается со стратегии, что не удивительно. Я работала во многих компаниях и в каждой под «стратегией» понималось что-то свое. Сегодня поговорим о рамке, в которой работаю я сейчас. Стратегия — это не документ, а система принятия решений, которая нужна для: 🟡выравнивания фокуса 🟡принятия решений 🟡р

68❤‍🔥17🔥65🌚5😍2😁1

25 Jun 2026, 10:05 UTC≈1,750 views23 reactions2 Starsread 7 August 2026

Product Hub Что ж, мы с коллегами создаем большой каталог продуктовых каналов (правда пока довольно маленький хах) В продукте много сильных авторов, но найти их в телеге сложно, и большинство читает все же крупные каналы. Идея этого каталога в том, чтобы создать постоянно доступный хаб продуктовых авторов и каналов, где можно найти для себя новых экспертов, идеи, решение кейсов и полезный контент, даже если автор

❤‍🔥9🐳7🔥52

22 Jun 2026, 16:20 UTC≈1,660 views48 reactionsread 7 August 2026
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Продакты в бигтехе не умеют делать продукты Так в инстаграмме говорят, и нет, меня это мнение не ущемляет, потому что мои продакты также не умеют делать продукты, как и ваши😎Радикализируем — никто не умеет. Изначальный тезис основан на том, что в бигтехах огромный ТТМ и продакт не может быстро получать инсайты и учиться принимать решения. И мы получаем человека, который за год провел 3-5 a/b тестов, на которых не с

❤‍🔥23🐳153🌚3🔥3🤔1

17 Jun 2026, 16:17 UTC≈1,650 views108 reactions1 Starread 7 August 2026
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Видео с DUMP и важный вопрос Вы просили видео с доклада про скиллы продакта, которые снова становятся актуальными, если вы внедряете LLM в пайплайн продукта. И его опубликовали, ловите: 🟥Само видео ⭐Краткий конспект А теперь важный вопрос. Собираю кворум на голосование, а интересно ли будет вам. Я сейчас прохожу обучение для руководителей и готова поделиться тем, чему учат руководителей в ВК и собственным мнением

94❤‍🔥8🌚31🔥1🥰1

8 Jun 2026, 15:42 UTC≈1,870 views51 reactions1 Starread 7 August 2026
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Пост, заряженный на AI (и бесплатный билет внутри) Всем привет! Хороший денек, чтобы поговорить про Conversations и AI. Во-первых, ребята взяли у меня интервью, что всегда приятно, читайте на карточках Во-вторых, следующая Conversations не за горами, и пройдет 25-26 июня в Питере. Присмотрела себе такой топ докладов: 🔸 Клон клиента: персонализация нового поколения, Lenta Tech 🔸 Культурный долг: скрытая цена AI-транс

❤‍🔥19😎15🔥125

Signed Galina Shirankova

Showing the 12 most recent of 14 posts we hold for @poltora_producta. 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 — 398,793 of 1,481,217entries 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 4 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.

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

“Полтора продакта || Галя Ширанкова” (@poltora_producta), 3,381 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/poltora_producta.

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.