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Channel

🥇Ковчег / автоматизация make.com и Cursor AI

@maya_pro

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

12,494subscribers

-9 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001616816889
TypeChannel
Username@maya_pro
DescriptionКовчег - канал про автоматизацию с make, агентами и нейросетями https://kv-ai.ru/obuchenie-po-make (курс) https://kv-ai.ru/blyuprinty-make-com-podpiska (схемы для make)
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live21 August 2026
Measurements held15
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/maya_pro

Growth

12,48812,51412,5017 August 2026 — 12,503 subscribers7 August 2026 — 12,503 subscribers7 August 2026 — 12,506 subscribers8 August 2026 — 12,507 subscribers9 August 2026 — 12,514 subscribers10 August 2026 — 12,506 subscribers11 August 2026 — 12,513 subscribers12 August 2026 — 12,512 subscribers14 August 2026 — 12,502 subscribers15 August 2026 — 12,496 subscribers16 August 2026 — 12,495 subscribers17 August 2026 — 12,490 subscribers18 August 2026 — 12,488 subscribers20 August 2026 — 12,493 subscribers21 August 2026 — 12,494 subscribers12,4947 August 202621 August 2026
15 measurements spanning 14 days, net -9. 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 12,484–12,518 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 20:3412,494+1
20 Aug 2026, 16:1712,493+5
18 Aug 2026, 18:0712,488-2
17 Aug 2026, 20:4412,490-5
16 Aug 2026, 21:5512,495-1
15 Aug 2026, 15:2412,496-6
14 Aug 2026, 00:5312,502-10
12 Aug 2026, 18:3812,512-1
11 Aug 2026, 17:3512,513+7
10 Aug 2026, 15:5212,506-8
9 Aug 2026, 17:0312,514+7
8 Aug 2026, 18:1612,507+1
7 Aug 2026, 19:0712,506+3
7 Aug 2026, 09:4512,503no change
7 Aug 2026, 09:3912,503first reading

Engagement

23 posts held, back to 21 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 27 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
24.9%
avg views ÷ 12,494 subscribers
Avg views / post
3,110
10 posts measured
Reaction rate
1.47%
reactions ÷ views · ER floor
Posts in window
10
of 23 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 20 August 2026
Posts held23 (21 May 202620 August 2026)
Views total31,080
Reactions total458
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 14:06 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

Photos
709
Videos
191
Links
447

Lifetime counters from Telegram’s own channel header, read 22 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
3h 52m
Average length
58m 09s

Measured directly from 4 videos 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

1,545 reactions across 23 posts, in 14 distinct kinds. The most used accounts for 47.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥72647.0%
31220.2%
👍15810.2%
🎉1348.67%
❤‍🔥815.24%
😍493.17%
custom 5442647901123675836422.72%
161.04%
👏130.841%
🍾50.324%
💯40.259%
🏆20.129%
😎20.129%
🍓10.065%

Custom emoji. One 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 count beside it isTelegram’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 23 of the 23 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 1,545reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 21 May 2026 to 20 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
952
across the posts below
Posts paid on
23
of 23 we hold a reading for · 100%
Most on one post
128
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @maya_pro. 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 23 most recent posts we hold for this entry, published 21 May 2026 to 20 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

20 Aug 2026, 03:18 UTC≈1,110 views48 reactions21 Starsread 22 August 2026

Posted without readable text

21🔥19😍5custom 54426479011236758363

Signed Артур Хорошев

14 Aug 2026, 15:50 UTC≈2,190 views25 reactions22 Starsread 22 August 2026
Voice message

https://x.ai/news/introducing-grok-bot Если уже попробовали - напишите свой комментарий про Grok bot

👍108🔥7

Signed Артур Хорошев

13 Aug 2026, 02:53 UTC≈2,510 views46 reactions22 Starsread 22 August 2026
Photo

У меня к вам серьёзный разговор. GROK BOT 🥸 Пирожочки. За последний год меня так ничего не цепляло после Cursor AI как Grok Bot. И это не шутка и не хайп. Думал это очередной гермес или клешня какая. Супер агенты бла бла бла. Так как у меня курсор я влетел бесплатно туда просто посмотреть, сказать ещё сырое и забить на годик. Но тут так постарались что я решил углубиться... Маск устроил аттракцион неведомой щедрости

19🔥16👍6😍2custom 54426479011236758362❤‍🔥1

Signed Артур Хорошев

6 Aug 2026, 02:04 UTC≈3,310 views52 reactions39 Starsread 22 August 2026
Photo

Полтора месяца я дорабатывал субагентскую систему написания статей для сайта и Дзена "ЭКСКАЛИБУР". Это один из проектов монетизации - который щас перестраиваю на рельсы заработка на Дзене. 324 пакетов изменения в гитхаб, каждую ночь мы шли к совершенству... и путь продолжится... Агенты копирующие стилистику написания, агенты по работе с изображениями, агенты самообучения, агенты работы с Яндекс метрикой и чего тол

🔥3311😍5👍3

Signed Артур Хорошев

30 Jul 2026, 18:46 UTC≈3,760 views51 reactions17 Starsread 22 August 2026
Video

📎 Кейс из платной группы от @Soma_Kiran Визуально правишь сайт в браузере - правки доходят до кода в Cursor. VisBug записывает «куда сдвинулся прямоугольник на экране», а код требует «каким свойством в каком файле это закрепить с учётом родителя и соседей». Сделал мост между VisBug и Cursor: двигаешь блоки на localhost, копируешь буфер, вставляешь в чат — агент правит исходники. Репо: https://github.com/samsebein

🔥2712👍8🎉4

Signed Артур Хорошев

29 Jul 2026, 17:39 UTC≈3,560 views18 reactions12 Starsread 22 August 2026
Voice message

Жду ваших комментов, донесите до меня о чём хайп ?

9custom 54426479011236758365💯4

Signed Артур Хорошев

29 Jul 2026, 15:05 UTC≈3,590 views29 reactions17 Starsread 22 August 2026
Photo

Зверюгу завезли в Cursor AI - пошёл тестировать. Посмотрим обоснован ли хайп🥳 глава Антропик в бешенстве и выдаёт такую фразу в своём обращение : строят модели мощнее американских и получают перманентное военное превосходство или инструменты тотальной репрессии.

🔥216🎉2

Signed Артур Хорошев

27 Jul 2026, 14:03 UTC≈4,160 views69 reactions43 Starsread 22 August 2026
Video

Вебинар: AI агенты для нарезки видео на Reels/shorts/другое, с автовыкладкой + как делать автовыкладку 00:00:00 Старт и план вебинара 00:01:59 Hyperion: что это 00:05:06 Установка в Cursor/Codex 00:07:52 Whisper и сканирование ПК 00:11:16 FFmpeg и локальный монтаж 00:14:48 UI и режимы нарезки 00:20:30 Передача видео директору 00:23:54 Схема субагентов 00:27:20 Транскрипт и отбор моментов 00:31:28 Хайлайты без обрыва

🔥43159😍2

Signed Артур Хорошев

25 Jul 2026, 20:07 UTC≈3,550 views102 reactions46 Starsread 22 August 2026
Video

Автомонтажка с автовыкладкой без API Жду ваших комментариев😁 Магия в конце ✅ Обучение автоматизациям с помощью Make и субагентов

🔥5123👍17🎉3custom 544264790112367583631🍓1🍾1

Signed Артур Хорошев

25 Jul 2026, 16:04 UTC≈3,340 views18 reactions5 Starsread 22 August 2026
Voice message

beget.com/p1953357 - Рефка https://t.me/beget_official/544 ( пост бегета - комменты тоже интересно)

🔥8👍6❤‍🔥4

Signed Артур Хорошев

22 Jul 2026, 02:57 UTC≈4,360 views50 reactions13 Starsread 22 August 2026
Photo

Рои субагентов, автоматизации с оркестратором. Для демонстрации покажу то что вам обещал : ГИПЕРИОН ( нарезка Shorts/Reels из длинных видео ) 23 июля выступаю на NeyroSummit 18.0 Один агент - это хорошо. Но что если задача слишком сложная для одного? Нужен целый рой субагентов, которые работают слаженно. Потому выбран для демонстрации один из моих инструментов - его покажу, всё расскажу ну и конечно сможете после е

🔥2913❤‍🔥6🎉2

Signed Артур Хорошев

15 Jul 2026, 15:56 UTC≈4,410 views55 reactions52 Starsread 22 August 2026
Video

Вебинар : Промпт → Skill → Субагент → Плагин: РОЙ СУБАГЕНТОВ для автоматизаций 00:47 - Переход от автоматизации в Make к агентским системам 01:39 - Почему Cursor AI стал лучшим выбором для AI-разработки 02:20 - Сравнение Grok 4.5 и Claude: что мощнее для кода 04:43 - Как работает агентское окно в Cursor: полная замена ChatGPT 05:30 - Эволюция нейросетей: от простых промптов к субагентам 07:46 - Настройка алгоритмов

🔥329😍8🍾4👍2

Signed Артур Хорошев

Showing the 12 most recent of 23 posts we hold for @maya_pro. 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 — 324,050 of 1,584,142entries 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.

Appears in Telegram’s recommendations for other channels

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.

Serge_AI 1.0
@serge_ai · 58,093
Telegram ranks this channel #7 of 99 here — alongside 98 others — read 23 August 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети)
@ai2smm · 58,643
Telegram ranks this channel #20 of 95 here — alongside 94 others — read 22 August 2026
ChatGPT, помоги!
@GPThelp_ru · 482,280
Telegram ranks this channel #32 of 91 here — alongside 90 others — read 10 August 2026
SYNTX FAMILY
@syntxfamily · 326,135
Telegram ranks this channel #38 of 93 here — alongside 92 others — read 22 August 2026
Анжела Петкова | ИИ на практике
@anjela_p · 76,739
Telegram ranks this channel #46 of 93 here — alongside 92 others — read 22 August 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“🥇Ковчег / автоматизация make.com и Cursor AI” (@maya_pro), 12,494 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/maya_pro.

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.