Telegram RegisterThe public register of Telegram

Channel

maloy > talks

@maloymediika

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

1,073subscribers

+80 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003326111226
TypeChannel
Username@maloymediika
CreatedBetween 1 November 2025 and 31 March 2026— 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/maloymediika

Growth

9931,0731,0336 August 2026 — 993 subscribers6 August 2026 — 993 subscribers7 August 2026 — 1,003 subscribers10 August 2026 — 1,068 subscribers13 August 2026 — 1,073 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +80. 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 981–1,085 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 15:391,073+5
10 Aug 2026, 09:561,068+65
7 Aug 2026, 01:521,003+10
6 Aug 2026, 13:18993no change
6 Aug 2026, 09:19993first reading

Engagement

20 posts held, back to 20 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
56.7%
avg views ÷ 1,073 subscribers
Avg views / post
609
9 posts measured
Reaction rate
4.05%
reactions ÷ views · ER floor
Posts in window
9
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 5 August 2026
Posts held20 (20 June 20265 August 2026)
Views total5,477
Reactions total222
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 13:18 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

492 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 36.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 528542503979611870817736.0%
custom 519754696378812695615431.3%
custom 546978356033436763010721.7%
custom 5285384035743343860377.52%
custom 5285064803709134018112.24%
custom 528542174126123892861.22%

Custom emoji. Every row above is a 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 areTelegram’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 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 492reactions 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 20 June 2026 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
54
across the posts below
Posts paid on
5
of 20 we hold a reading for · 25%
Most on one post
46
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @maloymediika. 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 20 June 2026 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, 14:40 UTC353 views21 reactionsread 6 August 2026
Photo

«If you're reading this it's too late» Drake выпустил этот альбом в 2015 году, но я послушал его впервые пол года назад, с того момента часто переслушиваю. И вот в очередной раз слушая Preach я долго смотрел на превью альбома и понял, что мне нужно сделать пост с таким превью. Очень долго думал, что должно быть в таком посте и в моменте мне пришла идея, поэтому слушай.. Каждый из нас если не всегда, то иногда дума

custom 51975469637881269569custom 52854250397961187086custom 54697835603343676306

4 Aug 2026, 11:59 UTC364 views24 reactions1 Starread 6 August 2026
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9 мушкетеров и мирнов Я подрался с мирновым за этот хук, поэтому нужно ценить. Сегодня мы решили собрать вам подборочку самых крутых каналов. Я думаю вы явно найдете для себя кого нибудь кто будет вам по душе кого вы еще не знали. Можете заранее добавить папочку и погружаться в огромное количество альфочки в их каналах Перейдем к списку: 🤖 Тимер - гений маркетинга, это он делал самую большую статью про маркетинг.

custom 528542503979611870810custom 51975469637881269567custom 54697835603343676307

2 Aug 2026, 14:04 UTC711 views34 reactions1 Starread 6 August 2026
Photo

Это свершилось.. Помните я недавно говорил, чтобы вы скидывали способы заабузить Kimi k3, так вот - не пригодилось. Вы спросите почему, а я вам быстро отвечу - потому что нашел ко мне пришли AnyModel. Я видел рекламу ребят во многих каналах и сначала не понимал зачем это нужно, но после того как протестил - мое мнение поменялось. И наверное вы сейчас подумали - опять наш любимый народный инфл продался за пачку суха

custom 519754696378812695615custom 528542503979611870810custom 54697835603343676309

30 Jul 2026, 14:05 UTC570 views14 reactionsread 6 August 2026

Posted without readable text

custom 51975469637881269567custom 52854250397961187084custom 54697835603343676303

27 Jul 2026, 14:05 UTC656 views27 reactions4 Starsread 6 August 2026
Photo

Немного про расширения Давно готовил этот пост, но все что-то руки не доходили, вот щас дошли. Сегодня расскажу вам о 4 расширениях, которые могут помочь тебе в работе. Начнем: 1. Nagi-ovo/voyager - раньше был voyager только для gemini, теперь новая версия доступна для всех моделей: Claude, ChatGpt, Gemini. Давай немного про основные функции: > Экспорт диалога в Json, PDF, Markdown. > Возможность синхронизировать

custom 519754696378812695612custom 54697835603343676308custom 52854250397961187087

23 Jul 2026, 14:05 UTC662 views16 reactionsread 6 August 2026
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Создай свой лучший сайт Вы набрали просто огромное количество реакций, поэтому пост летит к вам. Сегодня я расскажу вам пару советов, покажу пару сайтов и скиллов. Думаю стоит начать: Сайты Этот раздел будет состоять из пары категорий: сайты-вдохновение и сайты с готовыми шаблонами. Сайты-вдохновение > Awwwards - очень большая галерея сайтов со всего мира. Очень прикольно, что каждый сайт получает оценку по 4 кр

custom 51975469637881269569custom 54697835603343676304custom 52854250397961187083

21 Jul 2026, 14:21 UTC475 views29 reactionsread 6 August 2026

Давно не рекомендовал вам ничего А именно самый лучший парсер - ExitParser, ведь он поможет тебе следить за сотней каналов в одном месте, тебе не надо собирать папки, распределять все по ним. Я советую подписаться на такой инструмент, ведь это очень удобно. Короче вы поняли куда надо зайти, а я пока пойду думать над постами, есть кстати крутая идея - "Как сделать крутой сайт за один запрос?", если интересно - 20 р

custom 519754696378812695614custom 52854250397961187088custom 54697835603343676307

19 Jul 2026, 14:16 UTC843 views25 reactionsread 6 August 2026
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Не будь слабым - не покупай API Дропнув прошлый пост многие начали писать, что есть способы и легче и скинули мне пару репо, сегодня именно о них и расскажу. А пока надо сказать спасибо Unicode и $. Давайте начнем: 1. Panniantong/Agent-Reach - универсальная штука, которая дает агенту доступ сразу к нескольким платформам (Twitter, Reddit, YouTube, GitHub и тд). Но мы поговорим только про Twitter, под капотом стоит t

custom 528542503979611870810custom 51975469637881269568custom 54697835603343676307

17 Jul 2026, 14:09 UTC843 views32 reactionsread 6 August 2026
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Как парсить X? Я думаю все помнят мой пост про бота для твиттера, там в конце я написал, что хотел бы добавить в него апи твиттера, ведь это интересно. Поэтому сегодня я расскажу вам про топ-3 способа парсить твиттер. Давайте начнем тогда: 1. Apify - оказывается очень прикольная тема, которая парсит почти все. Я если честно про твиттер не знал, но рассказать как это делать - я расскажу > Регаетесь на Apify и получ

custom 528542503979611870814custom 51975469637881269569custom 54697835603343676307custom 52853840357433438602

14 Jul 2026, 13:54 UTC691 views24 reactionsread 6 August 2026
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Одновременно хорошо, одновременно плохо А почему - ты узнаешь, пока читаешь этот пост. Вообще сначала это должно было быть сравнение того, как новые модели от GPT и старые модели клода делают лендинги, но потом я подумал что это скучно, поэтому сегодня вы увидите многое. Будет несколько факторов, по которым будем сравнивать: креативность, умения в коде и решение задач. Короче будет интересно, давай начинать, а начне

custom 51975469637881269568custom 54697835603343676308custom 52854250397961187087custom 52850648037091340181

12 Jul 2026, 14:10 UTC797 views25 reactionsread 6 August 2026
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Экономить надо не только на еде И ты сейчас скажешь - "я не экономлю", но мы помним, что даже у мирнова на столе только яблоко и мед, сейчас не об этом. Сегодня, как и обещал мы поговорим о экономии токенов при работе с ии. Я был в шоке, что способов настолько много, но в этом посте я покажу и репозитории, и способы, даже одну прикольную штуку. Начнем: 🥉 Репозитории 1. JuliusBrussee/caveman - мне кажется достаточ

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10 Jul 2026, 14:11 UTC≈1,150 views13 reactionsread 6 August 2026
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Touch Grass Всем привет, сегодня у нас в гостях - Grass, ии-энтузиаст, криптан и просто легенда. Сегодня он расскажет о своем пути, о своих планах и тд. Давай послушаем: 😀 maloy: Привет, представься и расскажи о себе 😁 Grass: Я грас, ник выбрал ещё до дропа токена GRASS Типок который просто хочет бабки на жизнь, все просто. я думаю мы все такие Криптой занялся в 21 году прям в начале бычки весной (она раньше н

custom 54697835603343676305custom 51975469637881269563custom 52853840357433438603custom 52854250397961187082

Showing the 12 most recent of 20 posts we hold for @maloymediika. 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 — 125,542 of 1,340,412entries 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

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 8 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.

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.

“maloy > talks” (@maloymediika), 1,073 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/maloymediika.

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.