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Channel

Growth Officer

@growthofficer

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

1,426subscribers

-4 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001404894503
TypeChannel
Username@growthofficer
CreatedBetween 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/growthofficer

Growth

1,4261,4301,4287 August 2026 — 1,430 subscribers7 August 2026 — 1,430 subscribers10 August 2026 — 1,429 subscribers17 August 2026 — 1,426 subscribers7 August 202617 August 2026
4 measurements spanning 10 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 1,425–1,431 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 18:291,426-3
10 Aug 2026, 17:281,429-1
7 Aug 2026, 18:231,430no change
7 Aug 2026, 07:331,430first reading

Engagement

19 posts held, back to 6 March 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
40.3%
avg views ÷ 1,426 subscribers
Avg views / post
574
3 posts measured
Reaction rate
1.97%
reactions ÷ views · ER floor
Posts in window
3
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 July 2026
Posts held19 (6 March 202529 July 2026)
Views total1,723
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 07:33 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

294 reactions across 18 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥294100.0%

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 18 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 294reactions 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 6 March 2025 to 29 July 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
17
across the posts below
Posts paid on
9
of 19 we hold a reading for · 47%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @growthofficer. 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 19 most recent posts we hold for this entry, published 6 March 2025 to 29 July 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.

Recent posts

29 Jul 2026, 13:12 UTC427 views10 reactionsread 7 August 2026

Знакомый за 30 дней с 100 коннектов Linkedin дошёл до 1К+ и получил 5 интервью на C-level Как-то я обратился за помощью в закрытое сообщество @rfoundersgoglobal со следующим запросом вводные: у пользователя 100 коннектов в linkedin цель: набрать 500+ подписчиков за 3 месяца, стать лидером мнений в своем направлении и мне порекомендовали инструмент который называется Liseller если коротко: • комментит выбранные по

❤‍🔥10

Signed Dima Kim

23 Jul 2026, 19:23 UTC660 views7 reactionsread 7 August 2026

так думаю сразу поделиться простым и бесплатным курсом по вайбкодингу бесплатный курс @vibeofficercourse обсуждение https://t.me/vibeofficercourse/149/150 предложения, критика, советы и рекомендации @kimisathome

❤‍🔥7

Signed Dima Kim

23 Jul 2026, 18:59 UTC636 views17 reactions1 Starread 7 August 2026

сегодня решился написать пост. порой это бывает довольно сложно 🙂 уже надрафтил (ожидайте скоро) • про бесплатный курс по вайбкодингу • крутой инструмент для линкедина - liseller • про связь между моей философией предопределенности этой вселенной и AI-моделями ... но все никак не доходили руки как-то рассказывал что у меня одно из хобби это вокал и я решил написать песню с помощью ИИ - написал, опубликовал 🎧 далее

❤‍🔥17

Signed Dima Kim

4 Jul 2026, 10:44 UTC823 views33 reactions3 Starsread 7 August 2026
Forwarded from @jjsurfVideo

💢 Дособрал весь хаб по продажам и маркетингу По сути, это MBA для международного биздева 120+ видео 60+ отобранных статей и RnD 40+ фреймворков, инфографики и прочего Все аккуратно отсортировано и лежит в 🔗 Notion 🔗(можете забрать себе одной кнопкой Duplicate + подключить ИИ и у вас будет шикарный ИИ биздев)

❤‍🔥33

Signed Dima Kim

18 Jun 2026, 11:36 UTC≈1,020 views2 reactionsread 7 August 2026

если говорить про Payroll системы в крипте, то я тоже немного связан одну компанию я менторил по b2b лидогенерации, а вторая написала по поводу рекламы. честно... я всегда отказывался, а тут согласился - получается это первый пост с нативной рекламой 🙂 ребята из Kleos (ранее Stape) скинули много разных фич, но в рамках нативности поста выделю: • поддержка ИИ для бухгалтера по выплатам командам • ОЧЕНЬ лёгкий онбор

❤‍🔥2

Signed Dima Kim

17 Jun 2026, 13:39 UTC884 views2 reactions1 Starread 7 August 2026
Photo

Крипто индустрия и Финтех криптоиндустрия становится коммодити. в ряде банков уже помимо рублей и долларов появляются USDT/USDC. оплачивать криптой по всему миру станет обычным делом через пару лет. сам же оплачиваю через Apple Pay по крипто-карте из новостей: • стейблкоины уже гоняют больше денег чем Visa и Mastercard вместе взятые • Visa запустила расчёты в USDC, уже 130+ карточных программ в 50+ странах • Master

❤‍🔥2

Signed Dima Kim

21 May 2026, 04:56 UTC≈1,130 views11 reactionsread 7 August 2026
Photo

Вчера созванивался с Сашей @AlexAILLM, основателем Linked Helper история у него довольно интересная: $5M+ ARR, хантинг от Perplexity, выигранные суды в США, безопасность №1 приоритет бизнес • выручка описана выше, бизнес всегда был кэш-кау • инвесторов никогда не было и есть у меня ощущение, что и не будет :)) • офферов на покупку компании приходило много много раз, сам же Саша никогда не доводил до due diligence,

❤‍🔥11

Signed Dima Kim

8 May 2026, 11:02 UTC≈1,120 views19 reactions2 Starsread 7 August 2026

AI, вайбкодинг и безработица постоянно читаю новости про то, что увольняют десятки тысяч людей... пару месяцев назад компания Block уволила 4 тыс людей, об этом заявил сам фаундер и оправдался за свое принятое решение публично сегодня мы принимаем одно из самых сложных решений в истории нашей компании: мы сокращаем команду почти вдвое, с более чем 10 000 человек до менее 6 000 полтора месяца назад oracle уволила

❤‍🔥19

Signed Dima Kim

5 May 2026, 17:05 UTC≈1,170 views19 reactions3 Starsread 7 August 2026

LinkedIn Premium за 52 бакса в год Подписка LinkedIn Premium стоит 60-100 долларов в месяц. А вот хак как её получить за $52 в год: 1 меняешь локацию профиля LinkedIn на Турцию 2 включаешь турецкий VPN 3 заходишь в оплату LinkedIn Premium Business 4 цена будет в лирах, в районе $52/год 5 оплачиваешь любой USD картой 6 возвращаешь локацию обратно работает уже несколько лет, последний раз проверено мной в март

❤‍🔥19

Signed Dima Kim

4 May 2026, 18:01 UTC≈1,080 views17 reactionsread 7 August 2026

что я собрал на вайбе за пару месяцев 1 настроил полный GTM аутрич, описывал тут https://t.me/growthofficer/155 2 ресерч, сбор данных и аналитика по любой задаче через API каждой апки и открытие страниц через chrome mcp вместо тупого web-fetch 3 прочитывание всех писем всех моих почт через телеграм бот, ибо все уведомления у меня выключены всегда. нет уведомлений нет тревоги 4 бан спамеров в моей телеграм группе

❤‍🔥17

Signed Dima Kim

28 Apr 2026, 09:57 UTC≈1,150 views6 reactionsread 7 August 2026

Прошлым моим постом про GTM стек поделились более 20%, но при том он набрал меньшее количество просмотров. Вывод простой, пост оказался супер полезным, но не стоит выкладывать его в выходные 🤩 — Я как-то рассказывал ранее в постах или в акселлераторах, что инвесторы принимают решение еще в самом начале на базе эмоций и интуиции и далее их сложно переубедить. А именно, если инвестор принял в голове "нет", значит он

❤‍🔥6

Signed dima kim

26 Apr 2026, 05:01 UTC≈1,360 views28 reactions1 Starread 7 August 2026

Мой GTM-стек на текущий момент. Раньше для такого GTM motion нужна была команда из SDR, RevOps и founder + огромное количество ручной работы с разными инструментами. Сейчас это можно собрать одному человеку и управлять всем в одном окне через Claude Code 😉 Протестировал на реальном проекте: 4 недели, 708 компаний, 90 ответов, 10 квалов, 1 закрытая сделка. 1 Enrichment and Sourcing -> Apollo, Clay, Apify Лучшие на

❤‍🔥28

Signed dima kim

Showing the 12 most recent of 19 posts we hold for @growthofficer. 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 — 697,600 of 1,481,306entries 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.

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

“Growth Officer” (@growthofficer), 1,426 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/growthofficer.

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.