Telegram RegisterThe public register of Telegram

Channel

Продуктами управляют Коты

@leadstartup_channel

On this record: Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

6,469subscribers

+24 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001623601655
TypeChannel
Username@leadstartup_channel
Created8 March 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/leadstartup_channel

Growth

6,4456,4696,4577 August 2026 — 6,445 subscribers7 August 2026 — 6,445 subscribers10 August 2026 — 6,458 subscribers13 August 2026 — 6,469 subscribers7 August 202613 August 2026
4 measurements spanning 6 days, net +24. 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 6,441–6,473 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 02:286,469+11
10 Aug 2026, 03:546,458+13
7 Aug 2026, 05:306,445no change
7 Aug 2026, 05:226,445first reading

Engagement

19 posts held, back to 17 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 10 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.47%
avg views ÷ 6,469 subscribers
Avg views / post
612
19 posts measured
Reaction rate
0.676%
reactions ÷ views · ER floor
Posts in window
19
of 19 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. It is computed over the 17 of 19 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 August 2026
Posts held19 (17 July 202610 August 2026)
Views total11,635
Reactions total72
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:07 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

72 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 51.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3751.4%
2838.9%
custom 535269355202544843034.17%
😱22.78%
custom 526067449618393667911.39%
👾11.39%

Custom emoji. 2 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 17 of the 19 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 72reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 17 July 2026 to 10 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.

Recent posts

10 Aug 2026, 04:33 UTC326 views1 reactionsread 12 August 2026

В 2026 продакт может 8 лет делать продукты, управлять командой, считать юнит-экономику, спорить с разработкой, защищать roadmap перед C-level - и потом завалить собеседование на вопросе: "Расскажите про ваш самый сильный продуктовый кейс с конкретными результатами". Ответ "Все под NDA" не прокатит. Недавно разбирал именно такого человека. Хороший опыт. Нормальное CV. Есть реальные результаты. Собесы тоже есть. А офф

1

Signed Misha Ryazhenka

8 Aug 2026, 14:14 UTC383 views2 reactionsread 12 August 2026
Photo

Сегодняшний воркшоп завтра на платформе с монтажем. Все по доступу LinkedIn Friends All Courses Pass бессрочно.

🔥2

Signed Misha Ryazhenka

7 Aug 2026, 21:33 UTC438 viewsread 12 August 2026

10 главных правил AI-аналитики в 2026 1. AI без качественных данных = ускоренная генерация ошибок Главный актив - не сама AI-модель, а качественные и связанные данные: • единые определения метрик • корректные события • понятная бизнес-логика • актуальные данные • единые правила расчётов Плохие данные → плохие аутпуты. С AI это просто происходит быстрее. 2. AI должен отвечать на бизнес-вопрос Правильная цепо

Signed Misha Ryazhenka

7 Aug 2026, 17:28 UTC446 views1 reactionsread 12 August 2026

И еще вспомнил, что сделал в сумме за этот год 5 открытых GPT-моделек для вашего найма: CV Summary Creator - делает топовые саммари ваших профайлов Product Management Assessment - прокачивает продуктовые скиллы бесконечно iGaming Skills Trainer - прокачивает iGaming скиллы бесконечно Ваш карьерный эксперт - отвечает на все вопросы по карьере Your Digital Job Interviewer - интервьюирует вас как продакта / проджек

🔥1

Signed Misha Ryazhenka

7 Aug 2026, 12:27 UTC501 views9 reactionsread 12 August 2026
Photo

Сделал для вас GPT модельку, которая бесконечно задает продактам / маркетологам / проджектам вопросы как на собесах. И дает ответы, чтобы потом у вас не было "а почему меня не взяли"? Вот тут можно использовать ее.

🔥7😱2

Signed Misha Ryazhenka

5 Aug 2026, 21:59 UTC677 views14 reactionsread 12 August 2026

12 критериев слабого продакт-менеджера в 2026 году 1. Управляет фичами, а не проблемами пользователей. Фокусируется на реализации требований вместо поиска реальных пользовательских проблем. 2. Не связывает продукт с бизнесом. Не может объяснить, как задача повлияет на выручку, удержание, рост или ключевые продуктовые метрики. 3. Ориентируется на vanity metrics. Гордится количеством релизов, Story Points и Veloc

🔥76custom 52606744961839366791

Signed Misha Ryazhenka

4 Aug 2026, 16:43 UTC≈1,180 views8 reactionsread 12 August 2026
File

8 топ-гайдов по AI-агентам от топ-компаний The State of AI in 2025: Agents, Innovation, and Transformation McKinsey & Company Исследование о том, как компании внедряют AI и AI-агентов, масштабируют пилоты и получают бизнес-результаты. Внутри данные о выручке, затратах, трансформации процессов, рисках и влиянии AI на занятость. Agentic AI on the Rise: Keys to Unlocking Value AWS Marketplace Обзор агентного AI, у

🔥71

Signed Misha Ryazhenka

4 Aug 2026, 05:08 UTC514 views1 reactionsread 12 August 2026

Метрик много. Мозг один. 8 августа в 12:00 GMT+3 проведём трёхчасовой воркшоп для обладателей LinkedIn Friends All Courses Pass - “AI-аналитика метрик без говна”. Сейчас AI пытаются встроить почти во всё: аналитику, продукт, маркетинг, BI и прогнозирование. Открываешь LinkedIn - и создаётся ощущение, что нейросети уже самостоятельно находят точки роста, объясняют падение Retention, прогнозируют Revenue и принимают

custom 53526935520254484301

Signed Misha Ryazhenka

3 Aug 2026, 20:52 UTC487 views4 reactionsread 12 August 2026

Как изменился Agile в эпоху AI в 10 поинтах? AI не отменил Agile и не переписал его базовые принципы. Ценность для клиента, работающий продукт, взаимодействие людей и готовность к изменениям по-прежнему остаются в центре. Но способы, которыми команды реализуют эти принципы, заметно изменились. 1. Agile стал системой быстрого обучения Раньше Agile чаще воспринимался как способ ускорить разработку. Теперь его ценнос

4

Signed Misha Ryazhenka

3 Aug 2026, 12:57 UTC497 views5 reactionsread 12 August 2026

Топ-10 продуктовых метрик в 2026 году: что изменилось с приходом AI Еще несколько лет назад большинство продуктовых команд смотрели на DAU, MAU, Retention, Conversion и NPS. Эти метрики никуда не исчезли, но эпоха AI изменила сам подход к оценке успешности продукта. Сегодня недостаточно знать, сколько людей открыли приложение. Гораздо важнее понять: решил ли AI задачу пользователя, насколько быстро он принес ценнос

5

Signed Misha Ryazhenka

2 Aug 2026, 13:21 UTC578 views4 reactionsread 12 August 2026

Почему из маркетологов массово мигрируют в продакты? Мне кажется, дело не в тренде на Product Management и не в том, что там выше зарплаты. Просто меняется сама природа маркетинга. Еще несколько лет назад сильный performance-маркетолог создавал огромное конкурентное преимущество. Он умел находить аудитории, оптимизировать кампании, вручную управлять ставками, тестировать десятки гипотез и буквально выжимать максиму

🔥4

Signed Misha Ryazhenka

Showing the 12 most recent of 19 posts we hold for @leadstartup_channel. 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.

Posts edited after publishing

@leadstartup_channel edited 1 post 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.

First edit seen
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 654,656 of 1,169,250entries 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

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 1 registered channel — 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.

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.

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.

“Продуктами управляют Коты” (@leadstartup_channel), 6,469 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/leadstartup_channel.

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.