Приятного погружения 😁 #producthumor
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Channel
@vladimir_merkushev
On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
22,031subscribers
-256 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001368598294 |
|---|---|
| Type | Channel |
| Username | @vladimir_merkushev |
| Created | 10 March 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/vladimir_merkushev |
Other / unclassifiable — 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 47% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 04:40 | 22,031 | -9 |
| 15 Sept 2026, 04:19 | 22,040 | -23 |
| 13 Sept 2026, 14:59 | 22,063 | -6 |
| 11 Sept 2026, 21:42 | 22,069 | -12 |
| 9 Sept 2026, 14:39 | 22,081 | -35 |
| 6 Sept 2026, 04:17 | 22,116 | -19 |
| 3 Sept 2026, 19:38 | 22,135 | -7 |
| 2 Sept 2026, 09:33 | 22,142 | -8 |
| 1 Sept 2026, 06:54 | 22,150 | -9 |
| 31 Aug 2026, 05:38 | 22,159 | -6 |
| 30 Aug 2026, 02:46 | 22,165 | -4 |
| 28 Aug 2026, 23:59 | 22,169 | -5 |
| 28 Aug 2026, 02:44 | 22,174 | +2 |
| 27 Aug 2026, 01:58 | 22,172 | -8 |
| 26 Aug 2026, 02:37 | 22,180 | -4 |
| 25 Aug 2026, 04:32 | 22,184 | -3 |
| 24 Aug 2026, 00:05 | 22,187 | -14 |
| 22 Aug 2026, 04:17 | 22,201 | -17 |
| 20 Aug 2026, 17:48 | 22,218 | -5 |
| 19 Aug 2026, 14:26 | 22,223 | first reading |
32 posts held, back to 24 June 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 58 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 32 (24 June 2026 – 1 September 2026) |
| Views total | 5,760 |
| Reactions total | 61 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 12:47 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.
604 reactions across 31 posts, in 8 distinct kinds. The most used accounts for 30.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 185 | 30.6% | |
| 👍 | 152 | 25.2% | |
| 😁 | 147 | 24.3% | |
| 🔥 | 94 | 15.6% | |
| 🤔 | 11 | 1.82% | |
| 🤯 | 9 | 1.49% | |
| 👀 | 3 | 0.497% | |
| 🦄 | 3 | 0.497% |
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 32 of the 32 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 625 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 24 June 2026 to 1 September 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vladimir_merkushev. 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 32 most recent posts we hold for this entry, published 24 June 2026 to 1 September 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.
Приятного погружения 😁 #producthumor
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Я оказывается Middle Researcher. Если устану решать какие сервисы нужны пользователям, могу пойти просто помогать понимать что у них болит 😁 Хороший онлайн тест от авторов дружеского канала про исследования @postpostresearch. Некоторые вопросы заставили задуматься. На некоторых попался. Будет полезно всем, кто сталкивается с пользовательскими исследованиями. ▶️ https://test.qual.education/ #productlinks #дружески…
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10 лет Facebook Marketplace В октябре 2016 года Facebook запустил отдельный продукт для продажи и покупки товаров в США, Великобритании, Австралии и Новой Зеландии. Запускали не на пустом месте, а на основе четких сигналов в поведении пользователей — месячная аудитория групп, основная цель которых была продажа товаров, тогда составляла более 450 млн человек. Им просто дали чуть более удобный способ размещать объявле…
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Своя доставка еды vs агрегатор На днях впервые воспользовался доставкой от сети ресторанов Bistro Group — в ней больше 20 разных брендов от шикарного стейкхауса Texas Roadhouse до напитков и пончиков от Randy's Donuts. Сервис позиционируется как бесплатная доставка из всех ресторанов сети — All The Bistro Group concepts on your fingertips. Доставка действительно бесплатная и на многие позиции в меню есть дополнител…
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Манила или Ереван? Что круче для эмиграции С разрешения своего коллеги по Salmon Артура Юмаева хочу поделиться саммари из его наблюдений про жизнь в Маниле. У него и опыта побольше — 2 года против моих 3 месяцев, и контекст шире — он переехал с детьми. Климат. В Ереване — все четыре сезона. В Маниле — два: жарко и очень жарко. Я реально переживал из-за жары перед переездом, а адаптировался за две недели. Скучаю ли …
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Я очень люблю творчество Pink Floyd, особенно их более поздний период — Animals, Wish You Were Here, The Wall. На днях открыл для себя лекции Анны Виленской. Слышал о ней и ранее, но тогда показалось слишком скучно. А вот её цикл Британское вторжение, который начинается с лекции о Pink Floyd, просто супер! Не думал, что могу узнать что-то новое про историю любимой группы. Но узнал и несколько раз удивился. А как он…
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В топ-3 автомобильных медиа за 2 года Практически каждый автомобильный классифайд или маркетплейс хочет, помимо решения основной потребности пользователей по продаже или покупке авто, иметь возможность регулярно удовлетворять их другие потребности. Почему? Всё дело в частоте потребности. Для обычного автовладельца покупка или продажа — задачи редкие. А чем чаще пользователь взаимодействует с продуктом, тем больше ш…
👍6❤3
Иногда я даю экспертам и авторам интересных телеграм каналов сделать пост в Продуктории. Не хочу забывать эту полезную со всех сторон традицию, тем более что канал попался очень интересный! «Холодная голова» — авторский канал без лица и имени, и это осознанно. Автор — практик, для которого переговоры, работа под давлением и жёсткие иерархичные среды не тема для постов, а ежедневная реальность; поэтому он остаётся за…
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Сегодня всю ночь проектировал маркетплейс для пиратов 😄 Видимо так на моем подсознании отразилась вечерняя сессия игры в Assassin's Creed Black Flag Resynced... Среди планируемых категорий маркетплейса были товары для улучшения корабля, шляпы, пистолеты и сабли. Каналы продвижения продумать не успел — проснулся. Но, судя по опыту в игре, отлично будет работать спонсорство с выделением склада магазина на карте мира —…
😁11❤3👍1🔥1
Как автомаркетплейсы адаптируются к эпохе AI помощников В свежем выпуске AIM Group Automotive Marketplaces Annual вышла моя статья на тему использования LLM технологий в популярных продуктах для покупки авто. Целиком опубликовать не могу, отчет распространяется по подписке, но хочу поделиться ключевыми фактами и мыслями. Большинство маркетплейсов уже понимает, что нужно защищать свои позиции, чтобы клиенты со време…
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Теперь я знаю как выглядит классический азиатский маркетплейс в период распродаж, в оффлайн формате 😁 #producthumor #marketplaces
😁15🔥3🤯3❤1
Ваш Claude знает про продукт всё. А про вас — почти ничего Только вчера делился здесь как сделать Claude эффективнее с помощью контекста: рабочая папка с md-файлом структуры, регулярное обновление базы знаний о продукте из Confluence, саммари по Slack-каналам. С этим ваш клод перестает быть чистым листом и начинает понимать продукт. Но ведь контекст о продукте — это только половина. Вторая половина — контекст о вас…
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Showing the 12 most recent of 32 posts we hold for @vladimir_merkushev. 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.
@vladimir_merkushev edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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.
Named by 12 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.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 21 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 42 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Продукторий Владимира Меркушева” (@vladimir_merkushev), 22,031 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/vladimir_merkushev.
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.