4 measurements spanning 7 days, net +28. 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 5,964–6,000 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 01:06
5,996
+23
9 Aug 2026, 20:52
5,973
+5
6 Aug 2026, 11:20
5,968
no change
6 Aug 2026, 05:02
5,968
first reading
Engagement
26 posts held, back to 21 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
17.8%
avg views ÷ 5,996 subscribers
Avg views / post
1,070
26 posts measured
Reaction rate
1.68%
reactions ÷ views · ER floor
Posts in window
26
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 11 August 2026
Posts held
26 (21 July 2026 – 11 August 2026)
Views total
27,741
Reactions total
467
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 03:40 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
406 reactions across 23 posts, in 10 distinct kinds. The most used accounts for 45.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
183
45.1%
👍
111
27.3%
🤣
35
8.62%
custom 5474584779720526269
31
7.64%
custom 5361964771509808811
23
5.67%
custom 5244688456109530025
11
2.71%
custom 5240353399588819508
5
1.23%
custom 5330175906075912214
4
0.985%
custom 5395548525251541890
2
0.493%
custom 5427107837568360763
1
0.246%
Custom emoji. 7 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 26 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 467reactions 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 21 July 2026 to 11 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
2
across the posts below
Posts paid on
2
of 26 we hold a reading for · 8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @littleproduct. 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 21 July 2026 to 11 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.
Как продакту увеличить доход в 2 раза: разбор всех реальных способов
Кажется, что дальше расти по деньгам уже некуда: повышение дают раз в год, при переходе в другую компанию можно получить +20–30%, а до 500к+ как будто вообще непонятно как добраться.
При этом вокруг все чаще появляются истории про продактов, которые увеличили свой доход на 50%, 70% или даже в 2 раза, хотя ещё недавно зарабатывали примерно столько ж…
Почему восприятие ценности важнее самой ценности 🧠
В первом посте цикла я рассказывал, что ценность продукта – это разница между выгодами от его использования и затратами на него. Чем больше эта разница по сравнению с конкурентами в глазах ваших целевых пользователей, тем ценнее продукт.
В этом посте предлагаю вам посмотреть на ценность под углом когнитивной психологии и поведенческой экономики.
Даниэль Канеман и …
Продуктовые события предстоящей недели
Москва
пн🗓
10.08 в 19:00 Bitmanager ai. Voice AI Dev Meetup 1: голосовые технологии в продакшене https://t.me/div_conv/21/11119
вт🗓
11.08 в 19:00 Bitmanager ai. Agentic AI Dev Meetup 1: AI-агенты в продакшене https://t.me/div_conv/21/11120
чт🗓
13.08 в 12:30 Investor Games Club. 14-й баттл стартапов: Игры инвесторов https://t.me/div_conv/21/11122
сб🗓
платно 15.08 Немного прода…
🔠 Если вы не СРО или не планируете им стать, не читайте этот пост!
Хочу задать вам важный вопрос, успешные. В каких случаях экспертный опыт может работать против вас?
Вы, возможно, удивитесь, но одним из главных трендов в лидерстве сейчас становится не upskilling (повышение квалификации), а unlearning (умение сознательно отказываться от старых паттернов).
В результатах исследования HRD Leadership & Out of Bounds м…
Отвечаем на вопросы подписчиков из директа канала.
Вопрос задаёт @mkcue:
Как человеку с опытом в клиентском сервисе и клиентских исследованиях (кастдевы, отток, опросы), в сфере foodtech, перейти в продукт?
Как сейчас в целом обстоят дела с рынком продактов? С чего начать, и где обучаться?
Самый честный ответ: сейчас перейти в продакты «с улицы» тяжело. Вакансия может называться Junior Product Manager и одновременн…
ИИ в найме 🦩
Пост посвящается product manager/product marketing manager. Если у тебя есть друг-продакт, который обновляет ХАХА каждые 15 минут - скинь ему 🍸
Короткое интро: кандидатов стало слишком много, а вакансий в работе - крайне мало. ИИ, как оплот защиты от количества соискателей и "верное" средство в оптимизации процессов, активно внедряется в HR-процессы компаний. Сегодня доля автоматизации на стороне работ…
Поможешь сделать канал «Немного продакт» лучше? 💫
Хотим понять, как на самом деле читается канал: почему ты на него подписан(а), чего ждёшь от постов, что цепляет, а что пролистываешь не глядя.
Это не опрос с правильными ответами - просто честный разговор о контенте. Заполнить форму - 5 минут: https://forms.yandex.ru/u/6a74726184227c061a967436
Мы созвонимся с теми, кто оставит данные - обсудим подробнее, что тебе …
Авито запустил флешмоб: «Какие задачи я бы не отдал ИИ?».
Лично мы никогда бы не генерили мемы через ИИшку. Ты еще не готов, buddy 🚬
Присоединяйтесь к флешмобу с хештегом #авитоaifirst
@littleproduct
НПшники, а у вас есть хороший пример карточки спикера? В редактируемом формате (например ppt)
Просят такую для одной большой IT конфы...
Запрос от Холопцева Даниила, основателя сообщества 🐋
Продуктовые события предстоящей недели
Москва
вт🗓
04.08 в 17:00 МШУ Сколково. Кризис как метод: как научить команду выигрывать в условиях нестабильности https://t.me/div_conv/33/11129
04.08 в 19:00 Сбер. Новая эра клиентского опыта https://t.me/div_conv/2/11085
04.08 в 19:00 Стартап-кафе. Один за всех больше не работает https://t.me/div_conv/33/11106
🌐онлайн
03.08 -— 07.08 Product School. AI Builder Week https://t…
Есть один главный метанавык продакта, о котором не принято часто вспоминать
Пока все говорят про продуктовое мышление, хард скиллы и умение быть визионером, давайте начнем с базы. Потому что скорость вашего роста от Junior до CPO обусловлена… метанавыком под названием «Обучаемость».
И в IT обучаемость — это не стопка книг в месяц, которую вы одолели, а умение превращать новую информацию в рабочее продуктовое решени…
Showing the 12 most recent of 26 posts we hold for @littleproduct. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Хотели бы вы прийти на мероприятие «Немного продакт» об инклюзивности в IT?
Да, точно интересно24%
Да, если будут практика и кейсы16%
Интересно, но только онлайн13%
Сначала хочу увидеть программу32%
Пока не моя тема15%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 26 most recent posts we hold, published 21 July 2026 to 11 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 8,865 of 1,480,688entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 25 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Немного продакт” (@littleproduct), 5,996 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/littleproduct.
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.