Telegram RegisterThe public register of Telegram

Channel

Product Management & AI

@ruspm

On this record: Growth · Engagement · What this channel posts · Advertising · Posts · Citations · Cite this entry

25,213subscribers

-4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001085528491
TypeChannel
Username@ruspm
DescriptionProduct Management & AI Occultism, Philosophy & Logic, YO: @mirvla (c-f 𓇶 Meteoagent.com). SATOR AREPO TE8ET OPERA ROTAS Каналы для продактов: https://t.me/addlist/YvmnHCHUp700Nzky
Created27 January 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/ruspm

Growth

25,20425,21725,210.56 August 2026 — 25,217 subscribers6 August 2026 — 25,217 subscribers6 August 2026 — 25,215 subscribers7 August 2026 — 25,214 subscribers8 August 2026 — 25,207 subscribers9 August 2026 — 25,208 subscribers10 August 2026 — 25,204 subscribers12 August 2026 — 25,213 subscribers25,2136 August 202612 August 2026
8 measurements spanning 6 days, net -4. 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 25,202–25,219 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 07:0725,213+9
10 Aug 2026, 07:4025,204-4
9 Aug 2026, 07:5325,208+1
8 Aug 2026, 04:0325,207-7
7 Aug 2026, 06:0525,214-1
6 Aug 2026, 09:2025,215-2
6 Aug 2026, 02:0225,217no change
6 Aug 2026, 00:1325,217first reading

Engagement

21 posts held, back to 14 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.7%
avg views ÷ 25,213 subscribers
Avg views / post
5,470
21 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
21
of 21 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 7 August 2026
Posts held21 (14 July 20267 August 2026)
Views total114,820
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 22:29 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
770
Videos
406
Links
1,190

Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
30m 26s
Average length
2m 46s

Measured directly from 11 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.

Advertising

Ad load
4.76%
1 of 21 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
5,260
over 1 measured post
Median views · rest
5,540
over 20 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
2SDnjcbP8af122 July 202622 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 21 most recent posts we hold, published 14 July 2026 to 7 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

7 Aug 2026, 13:20 UTC≈2,920 viewsread 12 August 2026
Photo

Июльский дайджест продактов в жаре и свете её Солнца – От лошадей к стартапам – Цена фичи – Contextual Product Management – Про «чтобы что» – Закон Фолкленда – Закон Брукса – Правило 7% – 3 Истины Систем – Главное из AEO – Be NICE – Diff-in-Diff: A/B-тест невозможен – Немного про контрольные карты – Process Communication Model – Как перестать быть незаменимым – The truth about being a manager – Что проверять в AI

4 Aug 2026, 12:17 UTC≈3,860 viewsread 12 August 2026
Video

Сергей Брин принял участие в неформальной сессии, посвященной передовым системам ИИ, и признался в том, о чём молчат руководители ИИ-лабораторий: TLDR: Даже те, кто создаёт ИИ-модели, не до конца понимают, что именно они создали😌 – Возможности из разных областей науки начинают переплетаться и усиливать друг друга так, как никто специально не проектировал (например, обучение ИИ программированию и математическому мыш

4 Aug 2026, 10:42 UTC≈4,390 viewsread 12 August 2026
Video

Taste, Judgment and AI Вкус — это способность распознать качество и выдающееся мастерство, даже не имея на руках явных доказательств. Способность судить — это готовность сделать выбор и взять на себя риск, связанный с ним. Именно на этих двух качествах зиждется создание по-настоящему Великих Продуктов. Вкус во многом подобен фильтру и формируется благодаря практике и умению чувствовать и понимать, что именно делае

30 Jul 2026, 13:18 UTC≈4,560 viewsread 12 August 2026
Video

Вокруг ИИ-агенты, вайбкодинг, а у вас бизнес, рутина и даже некогда сесть и разобраться? В Битрикс24 есть всё для того, чтобы начать использовать новые фишки ИИ в числе первых. Это ИИ-сервис для бизнеса, где нейросети встроены прямо в рабочие процессы: – База для любого бизнеса: CRM, задачи, мессенджер – Нейросети и агенты: помогают с задачами, ищут информацию, пишут тексты и т.д. – Вайбкодинг для всех с подсказка

30 Jul 2026, 10:51 UTC≈4,940 viewsread 12 August 2026
Video

Всё уже существует в пространстве бесконечной неопределённости вариантов, из-за чего Всё не имеет какого-либо объёма данных и скорости своей передачи (упростим, сказав, что бесконечны), и всегда (всегда = время не существует) находится в состоянии постоянной резонации такого пространства как Единого-Целого. Так Супер~Сознание работает в одном-едином-постоянно-бесконечном режиме "наблюдения~и~понимания всего~и~сразу"

29 Jul 2026, 16:22 UTC≈4,900 viewsread 12 August 2026
Photo

Яндекс запускает программу, которая должна сделать использование ИИ новым стандартом внутренней разработки К концу 2026 года 75% разработчиков будут регулярно применять ИИ при написании кода. На уровне всей компании ИИ будет участвовать в подготовке не менее 75% изменений, а в каждом таком изменении генерировать не менее 75% кода. Программа 75/75/75 позволит ускорить создание продуктов и сократить время вывода их

29 Jul 2026, 16:20 UTC≈4,800 viewsread 12 August 2026
Photo

На скрине Uncle Bob Martin (Роберт Сесил Мартин) — известный американский инженер, автор и один из главных популяризаторов принципов чистой разработки ПО, который стоял у истоков Agile

27 Jul 2026, 09:40 UTC≈5,070 viewsread 12 August 2026
Video

Продукт ещё и про ошибки Мы недооцениваем значимость и ценность наших продуктовых ошибок. Промахнувшись с гипотезой/фичей, мы проводим "аналитику", ищем оправдание (которое не укажет на нас самих и наши убеждения как причину), быстро отчитываемся и спокойно забываем о ней, упуская истинное предназначение-суть ошибки: Ошибка вскрывает те самые каналы, которые в повседневной суете закрыты для нас из-за нашей невнимат

23 Jul 2026, 14:01 UTC≈5,370 viewsread 12 August 2026
Video

Безопасность ИИ-агента – это продуктовое требование, а не задача «отдела безопасности» Мы научились считать экономику токенов, бороться с галлюцинациями и даже писать систему тестов для оценки качества ИИ. Но почти никто на этапе проектирования не задает вопрос: «что произойдет, если нашего агента скомпрометируют?» При том что агент – это не чат-бот с ответами. Это сущность с доступами: к коду, к данным пользовател

23 Jul 2026, 10:14 UTC≈5,540 viewsread 12 August 2026
Video

Истина 1. Поведение Системы возникает из взаимодействия между её частями, а не из отдельных частей Результат системы — это результат того, как компоненты соединяются и взаимодействуют. Можно довести до совершенства каждую отдельную часть и всё равно получить сломанное целое. Продукт это то, как совершенные части собраны в полезное целое Системное мышление означает оптимизацию связей-линий между частями-точками. О

22 Jul 2026, 16:25 UTC≈5,260 viewsread 12 August 2026
Advertisementerid 2SDnjcbP8afVideo

Дождь, засвеченный экран и перчатки — в таких условиях люди взаимодействуют с приложением совсем иначе. Особенно если это курьер: он почти всё время в движении, на улице, под ветром, дождём или снегом, и заглянуть в телефон может лишь на пару секунд между делами. Тестировать такой продукт в тепличных офисных условиях — значит проверять совсем не то, с чем пользователь сталкивается в реальности. О таких нюансах работ

22 Jul 2026, 13:20 UTC≈5,790 viewsread 12 August 2026
Video

Вики — это не память (ч.2) Здесь стоит провести одно чёткое различие, потому что терминология в этой области всё ещё расплывчата. Эти системы всё чаще описываются как памят». LangChain называет OpenWiki «слоем вики-памяти для ИИ-агентов», используя маркетинговую формулировку. Слово несёт большой вес, но покрывает две довольно разные вещи. Корпусное знание — это то, что делает вики: компилирует то, что содержится в

Showing the 12 most recent of 21 posts we hold for @ruspm. 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.

Citation-graph rank

Citation-graph rank — 138,181 of 1,151,006entries 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

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.

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.

“Product Management & AI” (@ruspm), 25,213 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ruspm.

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.