Telegram RegisterThe public register of Telegram

Channel

Дима и контент

@dimacontent

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

62subscribers

+0 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002456456312
TypeChannel
Username@dimacontent
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live11 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/dimacontent

Growth

6211 Aug 2026, 09:17 — 62 subscribers11 Aug 2026, 10:33 — 62 subscribers11 Aug 2026, 09:1711 Aug 2026, 10:33
2 measurements taken within a single day. 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 61–63 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 10:3362no change
11 Aug 2026, 09:1762first reading

Engagement

20 posts held, back to 29 October 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
37.1%
avg views ÷ 62 subscribers
Avg views / post
23.0
1 post measured
Reaction rate
34.8%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 11 August 2026
Posts held20 (29 October 202511 August 2026)
Views total23
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 09:17 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

Video runtime
29s
Average length
29s

Measured directly from 1 video 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.

Reaction mix

180 reactions across 19 posts, in 15 distinct kinds. The most used accounts for 31.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5631.1%
5027.8%
👍4122.8%
😁126.67%
🤔52.78%
👏42.22%
31.67%
🤓21.11%
👎10.556%
💯10.556%
😢10.556%
😱10.556%
🤷‍♂10.556%
🥴10.556%
🦄10.556%

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 19 of the 20 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 180reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 29 October 2025 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
1
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dimacontent. 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 20 most recent posts we hold for this entry, published 29 October 2025 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.

Recent posts

11 Aug 2026, 08:09 UTC23 views8 reactionsread 11 August 2026

Я больше не работаю над Tellkin. В команде 3 человека. Двое уходят (включая меня), один верит в идею и хочет продолжать — закрываем компанию и оставляем приложение ему. Мы не нашли product-market fit, и я лично не верю, что найдём. Детали неплохо описал Кирилл в своём посте. Как команда, похоже, разбегаемся в разные стороны. Последние месяцы были достаточно напряжёнными эмоционально, и все от этого устали. У меня

7🦄1

24 Jun 2026, 10:01 UTC172 views15 reactionsread 11 August 2026
Video

Чем я сейчас занимаюсь. Мы только что запустили iOS приложение Tellkin. Tellkin собирает семейные истории в общий архив. Я ищу бета пользователей среди друзей. Если тебе интересно попробовать — дам пару месяцев Tellkin бесплатно за фидбек. Напиши мне 😉 (или поделись постом с другом) ✔️ Что такое Tellkin: • В приложении живет милый интервьюер, он задает вопросы про тебя — с ним можно разговаривать голосом — он по

🔥11👍4

21 Jun 2026, 13:39 UTC107 views10 reactionsread 11 August 2026

Я недавно сделал себе учебник с помощью Claude. История такая. Мне нужно было накидать архитектуру для очередной идеи приложения. Я попросил Claude сделать исследование и прикинуть, какая может быть архитектура. И получил достаточно сложный для восприятия док, потому что многие термины мне просто неизвестны, я не понимаю, как это работает. И тогда я подумал: мне нужно как в университете, когда нам давали методичк

🔥7👍3

16 Jun 2026, 10:13 UTC89 views8 reactionsread 11 August 2026

Должен признаться, я потребляю много контента — смотрю новые фильмы, сериалы, читаю книги и играю в игры. Я делал это даже когда у меня было по 10 рабочих звонков в день, так как это мой основной способ рекреации. Каждый понедельник мы с Аней ходим в кино — у нас даже есть эвент в календаре. Зато я не провожу время в Instagram/TikTok, etc. Я также оцениваю всё, что посмотрел, по 5-балльной шкале в Letterboxd и Seri

👍53

25 May 2026, 14:13 UTC136 views8 reactionsread 11 August 2026

Я начал собирать свои самые часто используемые Claude skills в этом репозитории: https://github.com/friendlyin/jim-skills Пока их там всего два 😅, но они реально экономят время, и я подумал: почему бы не рассказать, как я их использую. 1) make-requirements-with-user Процесс разработки сильно поменялся для меня за последний год. Если раньше я старался двигаться небольшими итерациями, проверял код и местами упрощ

👍8

24 May 2026, 16:24 UTC100 views4 reactionsread 11 August 2026

Я начал смотреть видео с Code w/ Claude, и понял что проматываю видосы в поисках инсайтов. А записей еще на несколько часов. И я подумал, может можно это как-то автоматизировать, чтобы время не терять. Начал искать сервисы, которые выгружают youtube видео и дают транскрипт текста — чтобы скормить его Клоду. Но они все либо не работают, либо как-то жестко монетизируются. И я завабкодил свое решение за пару часов. Ч

4

23 May 2026, 20:30 UTC78 views2 reactionsread 11 August 2026

Saturday evening fun https://x.com/allenwangzian/status/2057965029560095030?s=46

2

24 Apr 2026, 16:41 UTC143 views8 reactionsread 11 August 2026
Photo

Читаю про историю Флоренции

😁6🤓2

21 Apr 2026, 21:34 UTC172 views15 reactionsread 11 August 2026

Несколько месяцев назад я собрал AI-ассистента для личного планирования и ретро на Claude Code. Он сильно мне помогает. Вы можете развернуть его и для себя — ниже ссылки на GitHub и статью с деталями. Если вы не используете Claude Code/Cowork, то, вероятно, подойдет и любой другой агент, имеющий доступ к файловой системе. Ассистент знает про ваши цели, инбокс, календарь и навыки/привычки, которые вы хотите развить,

🔥9👍31🤔1🥴1

14 Apr 2026, 10:45 UTC125 views11 reactionsread 11 August 2026
Photo

Вчера ходили на The Drama. Ребята, это пушка. Я сидел в зале и думал: хочу снимать такое кино! Знаете, что объединяет Marty Supreme, Project Hail Mary и The Drama? Ответ: монтаж, вдохновлённый TikTok — ультракороткие шокирующие кадры, резкие переходы, потрясающий звук, креативное использование L&J-cuts (когда звук из одной сцены накладывается на другую). И у The Drama, наверное, получилось лучше всего. Фильм гипн

🔥74

25 Mar 2026, 13:10 UTC153 views8 reactionsread 11 August 2026
Photo

Единственное, в чём можно упрекнуть Project Hail Mary — он слишком старается казаться Interstellar, хотя на самом деле это Lego Movie. Но Lego Movie — отличный фильм, так что у меня претензий нет!

😁61😱1

20 Mar 2026, 13:44 UTC167 views13 reactionsread 11 August 2026

В этом году я успел посмотреть 10 из 15 главных фильмов и анимаций до церемонии Оскара. И я вдохновлен результатами! Я слышал много несправедливой критики в сторону некоторых произведений, от людей со стереотипами, которые не смотрели, но просто осуждают. Особенно пострадали Sinners (потому что там вампиры, вероятно) и KPop Demon Hunters (потому что KPop и демоны, что???). Но Оскар все расставил по местам. Пол Том

8👍5

Showing the 12 most recent of 20 posts we hold for @dimacontent. 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 — 867,854 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

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

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

“Дима и контент” (@dimacontent), 62 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/dimacontent.

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.