Channel
@DmitryChess2001
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
1,764subscribers
-6 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001935005732 |
|---|---|
| Type | Channel |
| Username | @DmitryChess2001 |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/DmitryChess2001 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 14:13 | 1,764 | -8 |
| 26 Aug 2026, 08:44 | 1,772 | -1 |
| 22 Aug 2026, 23:06 | 1,773 | +2 |
| 19 Aug 2026, 03:35 | 1,771 | +1 |
| 16 Aug 2026, 01:47 | 1,770 | +1 |
| 12 Aug 2026, 12:07 | 1,769 | -2 |
| 9 Aug 2026, 16:21 | 1,771 | +1 |
| 9 Aug 2026, 00:01 | 1,770 | first reading |
7 posts held, back to 22 June 2026 — 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 pageof 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 7 posts for this entry, the most recent from 17 July 2026. An engagement rate over an empty window would be a number about nothing.
273 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 55.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 152 | 55.7% | |
| 👍 | 52 | 19.0% | |
| ❤ | 40 | 14.7% | |
| 😁 | 25 | 9.16% | |
| 🤯 | 2 | 0.733% | |
| 👀 | 1 | 0.366% | |
| 💯 | 1 | 0.366% |
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 7 of the 7 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 273reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 22 June 2026 to 17 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @DmitryChess2001. 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 7 most recent posts we hold for this entry, published 22 June 2026 to 17 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.
Моя суперспособность Когда играешь в шахматы 19 лет, приобретаешь суперспособность определять уровень соперника по косвенным признакам 👀 Например, по движениям У новичков движения слишком осторожные, тогда как у опытных шахматистов — очень резкие и уверенные ⚡ Когда я смотрел сериал «Ход королевы», было очевидно, что все актёры играли в шахматы примерно 2 раза в жизни... 😅 Ещё благодаря этой суперспособности мож…
🔥26👍12❤2
Тренинг ♟️ Мы вчера перевыполнили план по реакциям — 72/50 🔥, поэтому я исполняю обещание и провожу мини-тренинг по стратегии в формате этого поста. Начнём разбираться с дебюта, а именно с его первой части — захватом центра. Я выделяю 4 принципа работы с центром в дебюте: 1️⃣ Децентрализация — это когда соперник играет не по центру. На Скриншоте №1 все такие ходы выделены красными стрелками. На любую децентрализа…
👍22🔥16❤5
2400 VS 1600 🏆 А как измерить стратегию? 🤔 Таким вопросом я задавался очень долгое время. В плане тактики всё понятно: если вчера решал задачи на мат в 1 ход, а сегодня — на мат в 2 хода, значит, ты растёшь 📈 А понять, прогрессируешь ли ты в позиционной игре или нет, — очень сложно. Поэтому я решил зайти с другой стороны. Вот, допустим, я имею 2400 на Личесс, а мои ученики — 1600–1800. В чём разница между нашим…
🔥90👍5❤1
В такие моменты особенно хорошо понимаешь Магнуса. Хочется очень сильно стукнуть кулаком по столу😅 #МемыDmitryChess
😁25🔥4🤯2👀1💯1
Я создал свою нейросеть! 🧠🤖 Когда-то я учился на программиста, и планировал им стать, но потом что-то пошло не так, и я стал блогером по шахматам 😅 Месяц назад чисто случайно я вернулся к своему былому интересу и начал разбирать то, что мне было давно интересно: как работают нейросети изнутри 🔍 Первую неделю я сосредоточился на написании простейших нейронок, а затем приступил к реализации своего проекта. Идея бы…
❤19👍9🔥5
Проверь себя 🧠 Это пост-диагностика твоей тактической формы. Я дам тебе 4 задачи — по одной с каждого уровня. После их решения ты примерно поймёшь свой рейтинг в тактике. Критерии оценки: важно решить не только правильно, но и быстро ⚡ до 30 секунд — уровень давно пройден, пора двигать дальше. 🔄 30 секунд – 2 минуты — твой реальный уровень тактики где-то тут. Та самая точка с которой можно стартовать и расти дал…
🔥8❤5👍2
Дорожная карта шахматиста 🗺️ Идея дорожной карты — дать чёткий алгоритм, как поднять рейтинг от 1000 до 2000 на Личесс Просто делай это и это, по такой технологии, в таком порядке — и результат придёт. ✅ Я долго шёл к этой идее, и в конце концов мне удалось реализовать её в своей подписке DmitryChess Плюс. Для этого мы с командой создали 126 полноформатных Личесс-студий с комментариями и интерактивным режимом. И…
❤8🔥3👍2
Showing the 7 most recent of 7 posts we hold for @DmitryChess2001. 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 — 885,956 of 1,626,935entries 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.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“DmitryChess” (@DmitryChess2001), 1,764 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/DmitryChess2001.
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.