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Channel

IT Личный Бренд | Денис Матвеев

@dmatew

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

543subscribers

-21 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002232649591
TypeChannel
Username@dmatew
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live25 September 2026
Measurements held9
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/dmatew

Topic

Technology — 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 21 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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.

Growth

543564553.57 August 2026 — 564 subscribers7 August 2026 — 563 subscribers8 August 2026 — 563 subscribers15 August 2026 — 561 subscribers23 August 2026 — 556 subscribers29 August 2026 — 552 subscribers5 September 2026 — 548 subscribers13 September 2026 — 546 subscribers25 September 2026 — 543 subscribers7 August 202625 September 2026
9 measurements spanning 49 days, net -21. 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 540–567 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Sept 2026, 06:57543-3
13 Sept 2026, 08:56546-2
5 Sept 2026, 12:38548-4
29 Aug 2026, 07:52552-4
23 Aug 2026, 05:52556-5
15 Aug 2026, 19:05561-2
8 Aug 2026, 03:33563no change
7 Aug 2026, 22:00563-1
7 Aug 2026, 15:27564first reading

Engagement

17 posts held, back to 22 April 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
15s
Average length
15s

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

259 reactions across 16 posts, in 19 distinct kinds. The most used accounts for 42.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥11042.5%
custom 53393656414407322752810.8%
❤207.72%
👍207.72%
🍓186.95%
❤‍🔥135.02%
💯114.25%
🆒72.70%
custom 545860504895305203762.32%
🐳51.93%
💘51.93%
😁51.93%
🏆41.54%
custom 540011919938316656820.772%
custom 523547812208156053510.386%
🌭10.386%
👏10.386%
🕊10.386%
🤯10.386%

Custom emoji. 4 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 are Telegram’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 16 of the 17 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 259 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 22 April 2025 to 5 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
27
across the posts below
Posts paid on
15
of 16 we hold a reading for · 94%
Most on one post
11
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dmatew. 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 17 most recent posts we hold for this entry, published 22 April 2025 to 5 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

5 Aug 2026, 06:07 UTC106 views7 reactions1 Starread 8 August 2026
Photo

Скандальный Arcteryx с Бали ⛏ Прилетел на Бали уже второй раз, думал, что знаю все местные схемы: скам-обменники, воровство айфонов с байка, но в этот раз обман оказался совсем другого масштаба. ⛏ За 20 минут до закрытия ТЦ Beachwalk Kuta я наткнулся на бутик Arcteryx и понял, что для поездки в Убуд мне нужна мембранная куртка от дождя. Интерьер выглядел настолько убедительно, что мысль проводить какой-либо легитч…

😁4custom 53393656414407322752🤯1

5 Oct 2025, 16:54 UTC842 views19 reactionsread 8 August 2026
Photo

Введение в машинное обучение Mind Map ▎Глоссарий машинного обучения (ML) ⛏ Машинное обучение (ML) - технологии позволяющие компьютерам обучаться и принимать решения на основе данных. Пример: система рекомендаций в онлайн-магазине. ⛏ Датасет (Dataset) - организованная коллекция данных в табличном формате, где строки - объекты, а столбцы - их характеристики. Пример: таблица с данными о студентах. ⛏ Признаки (Featur…

🔥11custom 53393656414407322753❤1🍓1🏆1🐳1👍1

30 Jul 2025, 16:12 UTC908 views18 reactions1 Starread 8 August 2026
Photo

ТОП 20 Концепций для System Design 1. Load Balancing (Балансировка нагрузки) - Распределение трафика между несколькими серверами для обеспечения надежности и доступности 2. Caching (Кэширование) - Сохранение часто используемых данных в памяти для более быстрого доступа 3. Partitioning (Секционирование данных) - Разделение данных на части для обеспечения масштабируемости и производительности 4. Replication (Репликаци…

🔥8🍓3custom 53393656414407322753👍2❤1custom 54586050489530520371

30 Jun 2025, 06:52 UTC901 views12 reactions1 Starread 8 August 2026
Video

DROP DATABASE T-SHIRT Футболка от выгорания - культовый момент из фильма «Особо опасен» и старый мем IT-сообщества Drop Database Оверсайз-футболка из премиального хлопка высокой плотности — 220 г/м². Принт в виде клавиатуры вышит на груди. Цвета футболок: молочный и черный. ⛏ Итоги конкурса Победитель - @brabusevg ⛏ Результаты в формате Python jupyter notebook в комментариях поста Инструкция по установке Оформит…

🔥5❤3👍2🍓1👏1

4 Jun 2025, 07:16 UTC≈7,310 views38 reactions2 Starsread 8 August 2026
Photo

КОНКУРС DROP DATABASE T-SHIRT Футболка от выгорания - культовый момент из фильма «Особо опасен» и старый мем IT-сообщества Drop Database, коллаборация с брендом Coeval Оверсайз-футболка из премиального хлопка высокой плотности — 220 г/м². Принт в виде клавиатуры вышит на груди. Цвета футболок: молочный и черный. Условия конкурса: 1. Подписаться на канал Дениса и Coeval 2. Оставить комментарий под этим постом в фор…

🔥20🍓5❤‍🔥4👍4❤1🐳1💘1custom 53393656414407322751

25 May 2025, 15:27 UTC≈2,620 views31 reactions1 Starread 8 August 2026
Photo

Заняли 3 место в Архитектурном хакатоне от ВТБ ⛏ Моя команда Sense Hack - победители Всероссийского Архитектурного Хакатона от ВТБ Взяли трек - Прикладной Архитектурный Сервис. - 147 команд подали заявки на участие в этом треке - Мы заняли 3 место ⛏ Подготовленные артефакты доступны по ссылке ⛏ Использовали UML диаграммы для проектирования всей системы и применяли следующие нотации: - Data Vault 2.0 для хранения…

🔥20🐳3👍3🍓1🕊1custom 53393656414407322751custom 54001191993831665681custom 54586050489530520371

17 May 2025, 11:49 UTC≈4,220 views13 reactions1 Starread 8 August 2026
Photo

⛏ Футболка от выгорания ⛏ DMT (Denis Matveev Tech) x Coeval — это лучший IT-мерч! Делаем коллаборацию с моим стритвир-брендом. ⛏ Я решил совместить культовый момент из фильма "Особо опасен" и старый мем IT-сообщества Drop Database, который уже понимают не только дбашники. ⛏ Эта композиция стала настоящей метафорой эмоционального выгорания на работе или в учёбе. Долгое напряжение, вечные дедлайны и отсутствие балан…

🔥4🍓2custom 53393656414407322752❤1❤‍🔥1🌭1👍1🆒1

14 May 2025, 09:12 UTC≈2,360 views11 reactions1 Starread 8 August 2026
Photo

Зачем нужна аспирантура ⛏ Есть ли желающие продолжить научную деятельность в аспирантуре? ⛏ Преимущества: Обучение в аспирантуре предоставляет надежную отсрочку от армии, а по завершении обучения кандидаты наук не подлежат призыву. Все льготы степени кандидата наук ⛏ Если вы хотите продолжать обучение, которое можно удобно совмещать с работой и личной жизнью, пишите мне в личку. ⛏ В данный момент я заканчиваю 1 к…

💯4❤‍🔥2🔥2❤1custom 53393656414407322751custom 54586050489530520371

9 May 2025, 17:00 UTC≈2,440 views16 reactions1 Starread 8 August 2026
Photo

Фреймворк для управления инновационными проектами ⛏ Stage-Gate — это процесс управления продуктовым портфелем, который помогает структурировать создание и развитие продуктов от идеи до масштабирования. ⛏ Этапы Процесс состоит из шести основных этапов, разделенных на два потока: - Discovery (поиск и валидация идей) - Delivery (создание и масштабирование продукта). - Discovery Track ⛏ 1. Ideation - Цель этапа: Сформ…

🔥7custom 54586050489530520373custom 53393656414407322752❤1💯1🆒1custom 52354781220815605351

7 May 2025, 11:27 UTC≈2,150 views20 reactions1 Starread 8 August 2026

Posted without readable text

🔥7❤‍🔥5👍4custom 53393656414407322752❤1🆒1

5 May 2025, 09:53 UTC≈3,060 views9 reactions1 Starread 8 August 2026
Photo

Угрозы от ИИ агентов ⛏ С ростом использования агентов искусственного интеллекта в приложениях увеличиваются и угрозы для безопасности. Сообщество кибербезопасности UNIT 42 опубликовало полезную статью на эту тему. ⛏ Основные моменты: - Атаки через командные инъекции: Злоумышленники могут вводить вредоносные команды, что приводит к утечке данных. Рекомендуется использовать фильтры для их обнаружения и блокировки. -…

🏆2💯2🔥2🍓1💘1custom 53393656414407322751

Showing the 12 most recent of 17 posts we hold for @dmatew. 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.

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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“IT Личный Бренд | Денис Матвеев” (@dmatew), 543 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/dmatew.

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.