Telegram RegisterThe public register of Telegram

Channel

Галера Морева

@gmoreva

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

4,239subscribers

+15 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001466955372
TypeChannel
Username@gmoreva
CreatedBetween 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/gmoreva

Growth

4,2244,2394,231.56 August 2026 — 4,224 subscribers6 August 2026 — 4,224 subscribers7 August 2026 — 4,226 subscribers10 August 2026 — 4,234 subscribers13 August 2026 — 4,239 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +15. 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 4,222–4,241 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 13:064,239+5
10 Aug 2026, 13:474,234+8
7 Aug 2026, 13:384,226+2
6 Aug 2026, 23:004,224no change
6 Aug 2026, 22:524,224first reading

Engagement

20 posts held, back to 29 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
40.0%
avg views ÷ 4,239 subscribers
Avg views / post
1,690
11 posts measured
Reaction rate
2.82%
reactions ÷ views · ER floor
Posts in window
11
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 4 August 2026
Posts held20 (29 June 20264 August 2026)
Views total18,636
Reactions total526
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:02 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

923 reactions across 20 posts, in 19 distinct kinds. The most used accounts for 28.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥26328.5%
👍20622.3%
😁17218.6%
909.75%
💯798.56%
🤣798.56%
🙏101.08%
👎60.65%
👏50.542%
❤‍🔥30.325%
😱20.217%
10.108%
👀10.108%
😢10.108%
🙈10.108%
🤔10.108%
🤮10.108%
🤷‍♂10.108%
🥰10.108%

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 20 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 923reactions 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 June 2026 to 4 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
4
across the posts below
Posts paid on
3
of 20 we hold a reading for · 15%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gmoreva. 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 June 2026 to 4 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

4 Aug 2026, 13:50 UTC986 views59 reactions2 Starsread 8 August 2026

В декабре прошлого года на моем канале вышло совсем не IT-видео. Мы записали интервью с моей знакомой — Леной, которая победила онкологию. В интервью Лена говорила, что пишет книгу и обязательно поделится ею, когда закончит. Так вот этот момент настал :) Книгу можно приобрести в бумажном виде — вся информация есть здесь: https://t.me/pro_yav_Lena/369. И еще один важный момент. Если, не дай бог, у кого-то из вашего

27👍18🙏10❤‍🔥3🔥1

3 Aug 2026, 16:20 UTC≈1,110 views18 reactionsread 8 August 2026

Отдал Linux-сервера под управление ИИ-агента У меня зоопарк разных серверов. Раньше я копировал команды из чата с агентом и вставлял руками в терминал. Потом подумал: а зачем? И отправил агента на сервер напрямую. Снял ролик, где показываю два способа сделать это: - простой — ставим pi прямо на сервер (для тестовых машин, которые не жалко); - правильный — агент живёт локально, а на сервер ходит по SSH через MCP.

🔥17😱1

30 Jul 2026, 10:51 UTC≈1,660 views63 reactionsread 8 August 2026

Простой естественного интеллекта Когда мне исполнилось 18 лет, я сдал на права и родители подарили мне прекрасный ВАЗ 2107, я перестал ходить пешком. Мне кажется даже в магазин через дорогу я ездил на машине. Само вождение доставляло мне уйму удовольствия и радовал тот факт, что не надо шевелить ногами для достижения цели и это еще получалось гораздо быстрее. С тех пор я не перестал быть ленивым, но на машине в со

👍41💯1191🥰1

28 Jul 2026, 07:49 UTC≈1,680 views50 reactionsread 8 August 2026

Желание читать реальный текст На выходных осознал, что снова скатился в листание вертикальных роликов (рилсы, шортсы). У меня с этим форматом идет долгая неравная битва — я регулярно её проигрываю))) Однажды даже в лифте понял, что хочется ехать и смотреть эти ролики. Это перебор. Решил перейти на текстовый контент. Взял хабр, открыл свою ленту и начал читать статьи. Текстовый контент несет в себе больше "плату за

🔥34👍115

24 Jul 2026, 16:07 UTC≈1,990 views35 reactionsread 8 August 2026

Купил две RTX2080 по 22gb каждая Решил попробовать дешевый вариант запуска умных моделей локально. Снял про это ролик. В этом видео я решил проверить, насколько RTX 2080 (22 ГБ) актуальна для локальных нейросетей в 2026 году. Вместо синтетических бенчмарков я использовал реальные сценарии: - разработка собственного проекта через AI-агента; - автономный вайб-кодинг; - работа с Obsidian; - обработка бронирований Tr

🔥247👍4

22 Jul 2026, 09:19 UTC≈1,960 views62 reactionsread 8 August 2026

Чтобы далеко не ходить. Как успешный предприниматель, я сейчас жду доставку от дикси, где мне привезут куриный доширак. И даже с дошиками недостаточно "просто добавить воды". Пропорции специй, не передержать лапшу в кипятке, слить лишнюю воду вовремя и оставить чуток для сочности. По настроению добавить сухариков, доп соусов. Все это индивидуально под каждого человека. И никакой ИИ через "просто сделай вкусно" не с

😁45🔥11👏5😢1

22 Jul 2026, 09:14 UTC≈1,850 views39 reactionsread 8 August 2026

"Просто киньте нейронке" Фраза "ну кинь просто нейронке и она все сделает" и её аналоги часто сопровождают мои разговоры с разными потенциальными клиентами последние полгода-год. Только, увы, это так не работает. Это все равно, что сказать повару "Я хочу вкусно и сыто поесть. Просто кинь в духовку и все будет готово". Без конкретизации что именно кинуть, какую кухню я предпочитаю и какие у меня есть ограничения/пре

💯32👍7

21 Jul 2026, 13:14 UTC≈2,010 views22 reactionsread 8 August 2026

Видео-обзор модели Gemma 4 12b Снял ролик, где погонял мизерную гемму по агенстким и вайбкодерским задачам. Сформировал свое мнение и показал примеры в видео. Ссылки на все площадки 📹 YouTube | VK | Rutube | Dzen 📹

👍145🔥3

21 Jul 2026, 07:51 UTC≈1,650 views68 reactionsread 8 August 2026

Продал свою электричку У меня недавно вышел ролик, вызвавший спорную реакцию. Он совсем не технически был, а про ситуацию с топливом в нашей стране. Мое мнение в этом ролике было и осталось до сих пор — кризис с нами не надолго. Подкрепил свое мнение тем, что продал свой электроМосквич. Сам не ожидал, но кризис местами людей посводил с ума и электрички начали разбирать хлеще чем видеокарты. В мае я своего москвича

🔥28🤣22😁85👍5

17 Jul 2026, 08:26 UTC≈1,860 views64 reactionsread 8 August 2026
Photo

Позиционирование компании на рынке Мы сейчас фоном перепиливаем сайт нашей компании. Собираем отзывы с клиентов и решили поискать что про нас можно найти в яндексе. Если начать искать отзывы, то на первой странице громко звучит наш слоган "Делаем все долго, дорого и плохо". У меня это вызвало восторг. Я помню как я придумал этот слоган на препати одной из конференций Highload. Мы обсуждали кто чем занимается. Кажд

😁34🔥236🤷‍♂1

16 Jul 2026, 08:31 UTC≈1,880 views46 reactionsread 8 August 2026

Доверие нейросетям Все больше и больше доверяю моделям в плане разработки. Особенно если это разработка не для клиента, а какой-нибудь внутренний продукт. Вчера у меня ии-агент на glm-5.2 делал мне достаточно емкий и большой сервис с нуля около часа. Делал полностью автономно: писал тесты, запускал тесты, писал докуметацию, проверял сам в браузере, фиксил баги. Все согласно правилам из моего сетапа вайбкодера. Все

🔥35👍83

14 Jul 2026, 08:29 UTC≈2,060 views67 reactions1 Starread 8 August 2026

Окупаемость видеокарты для локальных нейросетей Я покупал свою карту 4090 без каких-либо экономических расчетов и подсчетов. Просто решил провести этот эксперимент и попробовать на себе такую дорогую покупку для ИИ. Видеокарта может выдавать в среднем 50 токенов в секунду для Qwen 3.6 27b q8_0. Если переводить в месяц и стоимость такой же модели на openrouter, то получается такая модель обходилась бы мне в 28к рубл

💯33👍20😁112🤔1

Showing the 12 most recent of 20 posts we hold for @gmoreva. 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 — 73,564 of 1,176,251entries 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

Named by 3 registered channels — 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.

“Галера Морева” (@gmoreva), 4,239 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/gmoreva.

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.