Telegram RegisterThe public register of Telegram

Channel

تولید محتوا با گوشی گام آزمون

@GAMazmoon

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

6,069subscribers

+5 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001074189673
TypeChannel
Username@GAMazmoon
CreatedBetween 1 September 2016 and 30 September 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/GAMazmoon

Growth

6,0626,0696,065.55 August 2026 — 6,064 subscribers6 August 2026 — 6,064 subscribers6 August 2026 — 6,062 subscribers9 August 2026 — 6,067 subscribers12 August 2026 — 6,069 subscribers5 August 202612 August 2026
5 measurements spanning 7 days, net +5. 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 6,061–6,070 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:526,069+2
9 Aug 2026, 20:526,067+5
6 Aug 2026, 17:306,062-2
6 Aug 2026, 03:306,064no change
5 Aug 2026, 22:006,064first reading

Engagement

53 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.40%
avg views ÷ 6,069 subscribers
Avg views / post
146
53 posts measured
Reaction rate
0.996%
reactions ÷ views · ER floor
Posts in window
53
of 53 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 11 August 2026
Posts held53 (3 August 202611 August 2026)
Views total7,734
Reactions total77
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:33 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

Video runtime
11m 59s
Average length
48s

Measured directly from 15 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

62 reactions across 44 posts, in 3 distinct kinds. The most used accounts for 79.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍4979.0%
1219.4%
😢11.61%

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 53 of the 53 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 77reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 53 most recent posts we hold, published 3 August 2026 to 11 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.

Recent posts

11 Aug 2026, 21:29 UTC57 views1 reactionsread 12 August 2026

دانشمندان برای نخستین‌بار از پیوند مدفوع برای درمان آلرژی غذایی استفاده کردند پژوهشگران با استفاده از کپسول‌های حاوی باکتری مفید روده، توانستند تحمل افراد مبتلا به آلرژی بادام‌زمینی را افزایش دهند.

👍1

11 Aug 2026, 21:08 UTC69 views1 reactionsread 12 August 2026

پلاستیک پرمصرفی که تصور می‌شد بی‌خطر است، به کبد آسیب می‌زند پلی‌اتیلن حدود یک‌سوم از کل پلاستیک‌های تولیدشده در جهان را تشکیل می‌دهد و در محصولات روزمره‌ای مانند بسته‌بندی مواد غذایی، پلاستیک‌های نازک (سلفون)، ظروف نگهداری و فنجان‌های نوشیدنی به کار می‌رود. با وجود حجم عظیم استفاده، تحقیقات کمی به تأثیر این ماده بر سلامت کبد پرداخته بودند و اغلب تصور می‌شد پلی‌اتیلن در مقایسه با سایر میکروپلاستیک‌ها، از نظر زیستی ب

1

11 Aug 2026, 20:20 UTC79 views1 reactionsread 12 August 2026

📸 ۲۰ زاویه طلایی دوربین برای ارتقای کیفیت عکس‌های هوش مصنوعی! تفاوت یک تصویر ساده و معمولی با یک شات سینمایی در پرامپت زاویه دوربین است! اگر فقط سوژه رو بنویسید، AI کادر رو به شانس خودش انتخاب می‌کنه؛ اما با اضافه کردن این ۲ cut تخصصی خروجی کاملاً تحت کنترل شماست: راهنمای ۲۰ زاویه دوربین و پرامپت‌های تخصصی Eye Level (هم‌سطح چشم): زاویه طبیعی، خنثی و متعادل. High Angle (زاویه بالا): قرارگیری دوربین بالاتر

👍1

11 Aug 2026, 20:02 UTC70 views1 reactionsread 12 August 2026

MISSION: Perform a pure high-end photo restoration and quality enhancement only. This is NOT a redesign, recreation, beautification, or artistic reinterpretation. IDENTITY PRESERVATION (HIGHEST PRIORITY): Preserve the subject's identity with absolute precision. Do not alter facial geometry, head shape, jawline, cheekbones, nose, lips, eyes, eyebrows, ears, forehead, hairline, beard, hairstyle, skin marks, proportion

👍1

11 Aug 2026, 20:01 UTC49 views1 reactionsread 12 August 2026

📸 پرامپت طلایی برای بازسازی و افزایش کیفیت عکس با هوش مصنوعی (بدون تغییر چهره!) بزرگ‌ترین مشکل ابزارهای ارتقای کیفیت عکس (Upscalerها) اینه که قیافه شخص رو تغییر میدن یا پوست رو پلاستیکی و مصنوعی میکنن! این پرامپت پیشرفته به هوش مصنوعی دستور میده تا مثل یک دوربین فوق‌حرفه‌ای Sony Alpha A1، عکس‌های قدیمی یا کم‌کیفیت شما رو به کیفیت 8K برسونه؛ بدون اینکه حتی ۱ درصد توی چهره، ژست، پس‌زمینه یا لباس تغییر ایجاد کنه! 🚀 🔹

👍1

11 Aug 2026, 19:20 UTC48 views1 reactionsread 12 August 2026
Forwarded from @inshotforteachers

📌 راهنمای کامل دریافت فیش حقوقی فرهنگیان شاغل و بازنشسته اگر برای کارهای اداری یا بانکی نیاز به فیش حقوقی دارید، بدون نیاز به مراجعه حضوری و طبق روش‌های زیر اقدام کنید: 🍏 فرهنگیان شاغل: 1️⃣ وارد سایت my.medu.ir شوید. 2️⃣ شماره همراه خود را وارد کرده و با کد یک‌بارمصرف وارد پنل شوید. 3️⃣ از منو، گزینه فیش حقوقی را انتخاب کرده و روی علامت + سبز بزنید. 👴 فرهنگیان بازنشسته: 1️⃣ به سایت eservices.cspf.ir مراجعه کنید. 2

👍1

11 Aug 2026, 19:17 UTC46 views1 reactionsread 12 August 2026

📌 آموزش لینکدین | قسمت بیست‌وچهارم چرا باید در لینکدین محتوا منتشر کنیم؟ بسیاری از افراد فقط پروفایل می‌سازند و منتظر فرصت می‌مانند. اما افراد حرفه‌ای، با تولید محتوا خودشان را معرفی می‌کنند. محتوا در لینکدین می‌تواند شامل: ✅ تجربه‌های کاری ✅ آموخته‌های جدید ✅ پروژه‌هایی که انجام داده‌اید ✅ تحلیل‌های کوتاه درباره حوزه تخصصی شما باشد. لازم نیست هر روز پست منتشر کنید. مهم‌تر از تعداد، کیفیت و استمرار است. چند نکت

👍1

11 Aug 2026, 19:15 UTC46 views1 reactionsread 12 August 2026
Forwarded from @kardastihavijVideo

کاردستی ساخت لوستر رویایی😍 📚 برای آموزش بیشتر و ترفندهای ساخت بازی و کاردستی، عضو کانال رایگان ما شو: 👇👇👇 @kardastihavij

1

11 Aug 2026, 19:05 UTC61 views1 reactionsread 12 August 2026
Video

🦁 طرح شیر با خط سفید پرقدرت | اسپید دراوینگ یک طرح پرقدرت از سر شیر با یال پرپشت، که با خطوط ضخیم سفید روی زمینه مشکی جلوی چشمتون شکل می‌گیره 🖤 بدون صدا، آماده دانلود. 🛒 خرید و دانلود: https://gamazmoon.com/product/speed-drawing-lion-lineart-motion-video @gamazmoon #اسپید_دراوینگ #طرح_شیر #موشن_گرافیک

1

11 Aug 2026, 16:12 UTC68 views1 reactionsread 12 August 2026
Video

🚀 دوره‌های هوش مصنوعی آپدیت شد! 🎬 انیمیشن‌سازی در چند ثانیه با Gemini! با کاراکتر دلخواه 🔹 دوره حرفه‌ای ساخت انیمیشن - جلسه ۴۶👉 https://gamazmoon.com/courses/ai-animation 🔹 دوره ویژه برای دانش‌آموزان و معلمان - جلسه ۴۶ 👉 https://gamazmoon.com/courses/ai-for-student #هوش_مصنوعی #انیمیشن_سازی #تولید_محتوا #دوره_های_آنلاین #آموزش_هوش_مصنوعی #مهارت_یادگیری @gamazmoon

👍1

11 Aug 2026, 16:12 UTC54 views1 reactionsread 12 August 2026
Video

🚀 دوره‌های هوش مصنوعی آپدیت شد! 🎬 با Gemini در سه‌سوت تیزر تبلیغاتی حرفه‌ای بساز! 🔹 دوره حرفه‌ای ساخت انیمیشن - جلسه ۲۰👉 https://gamazmoon.com/courses/ai-animation 🔹 دوره تولید محتوا با هوش مصنوعی - زیر مجموعه جلسه ۱ 👉 https://gamazmoon.com/courses/content-production-with-ai #هوش_مصنوعی #انیمیشن_سازی #تولید_محتوا #دوره_های_آنلاین #آموزش_هوش_مصنوعی #تیزر_تبلیغاتی @gamazmoon

👍1

11 Aug 2026, 16:12 UTC65 views1 reactionsread 12 August 2026
Video

🚀 دوره‌های هوش مصنوعی آپدیت شد! 🎬 ساخت موزیک‌ویدیو حرفه‌ای در چند دقیقه با AI! 🔹 دوره حرفه‌ای ساخت انیمیشن - جلسه ۳۱👉 https://gamazmoon.com/courses/ai-animation 🔹 دوره تولید محتوا با هوش مصنوعی - زیر مجموعه جلسه ۳۴ 👉 https://gamazmoon.com/courses/content-production-with-ai #هوش_مصنوعی #انیمیشن_سازی #تولید_محتوا #دوره_های_آنلاین #آموزش_هوش_مصنوعی #موزیک_ویدیو @gamazmoon

👍1

Showing the 12 most recent of 53 posts we hold for @GAMazmoon. 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.

Citation-graph rank

Citation-graph rank — 103,607 of 1,160,990entries 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 4 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“تولید محتوا با گوشی گام آزمون” (@GAMazmoon), 6,069 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/GAMazmoon.

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.