Telegram RegisterThe public register of Telegram

Channel

مهندس هوش

@mohandeshoosh

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

1,655subscribers

-15 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002493085398
TypeChannel
Username@mohandeshoosh
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/mohandeshoosh

Growth

1,6551,6701,662.57 August 2026 — 1,670 subscribers7 August 2026 — 1,670 subscribers11 August 2026 — 1,662 subscribers14 August 2026 — 1,655 subscribers7 August 202614 August 2026
4 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 1,653–1,672 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 09:141,655-7
11 Aug 2026, 09:351,662-8
7 Aug 2026, 07:011,670no change
7 Aug 2026, 06:521,670first reading

Engagement

20 posts held, back to 1 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.37%
avg views ÷ 1,655 subscribers
Avg views / post
139
20 posts measured
Reaction rate
2.84%
reactions ÷ views · ER floor
Posts in window
20
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. It is computed over the 18 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (1 August 20267 August 2026)
Views total2,771
Reactions total72
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:45 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
3m 44s
Average length
56s

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

72 reactions across 18 posts, in 6 distinct kinds. The most used accounts for 73.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5373.6%
👏811.1%
👎56.94%
🔥22.78%
🤣22.78%
🤨22.78%

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 18 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 72reactions 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 1 August 2026 to 7 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

7 Aug 2026, 13:14 UTC51 views1 reactionsread 7 August 2026
Photo

نورپردازی دراماتیک یکی از مهم‌ترین تکنیک‌ها برای ایجاد حس سینمایی و حرفه‌ای در تصاویر است 🎬💡 در این اینفو با تاثیر آن بر محیط آشنا شوید و برای پروژه‌های بعدی‌تان ذخیره کنید. ✨ #اصطلاح_کاربردی 🆔 کانال مهندس هوش 🫟 @MohandesHoosh

1

7 Aug 2026, 10:56 UTC65 views3 reactionsread 7 August 2026
Photo

🧠 خبر خوب برای کاربران رایگان ChatGPT! شرکت OpenAI اعلام کرده که از هفته آینده، محدودیت چت متنی برای کاربران Free و Go حذف می‌شود؛ یعنی گفت‌وگوی متنی بدون سقف پیام. همچنین قابلیت Think برای تحلیل عمیق‌تر سؤال‌ها و مدل جدید GPT-5.6 Luna هم در اختیار کاربران رایگان قرار می‌گیرد. ✨ کاربران Plus و Pro نیز نسخه ارتقایافته GPT-5.6 Sol را با دقت بیشتر و امکان تنظیم میزان استدلال مدل دریافت خواهند کرد. #خبرنامه_هوش 🆔 کان

3

6 Aug 2026, 19:14 UTC101 views3 reactionsread 7 August 2026
Photo

🚀 یک رقیب تازه برای گوگل ترنسلیت از راه رسید! شرکت OpenAI از ChatGPT Translate رونمایی کرد؛ ابزاری که به‌جای ترجمه کلمه‌به‌کلمه، روی مفهوم و لحن متن تمرکز دارد. 🌍 بیش از ۵۰ زبان را پشتیبانی می‌کند و فعلاً رایگان است. 🔗 https://chatgpt.com/translate/ #خبرنامه_هوش 🆔 کانال مهندس هوش 🫟 @MohandesHoosh

3

6 Aug 2026, 17:45 UTC101 views1 reactionsread 7 August 2026
Photo

چرا همش تصویرم خراب میشه؟!😖😵‍💫 یکی از اشتباه‌هایی که باعث میشه خروجی هوش مصنوعی به دلتون نشینه، همین نداشتن اولویت‌بندی توی پرامپته ! این اینفو رو ببینید، ذخیره کنید و از این به بعد حرفه‌ای‌تر پرامپت بنویسید. ✨ #اشتباهات_رایج 🆔 کانال مهندس هوش 🫟 @MohandesHoosh

1

6 Aug 2026, 17:25 UTC91 viewsread 7 August 2026
Photo

📢 دو محتوای جدید به خانواده محتوایی مهندس هوش اضافه شد! 🤖✨ ❌ #اشتباهات_رایج اینجا قراره اشتباهاتی که بیشتر افراد هنگام کار با هوش مصنوعی انجام میدن رو بررسی کنیم و راه‌های ساده برای بهتر شدن خروجی‌ها رو یاد بگیریم. 💡 #اصطلاح_کاربردی اصطلاحات مهم و کاربردی هوش مصنوعی رو ساده یاد می‌گیریم؛ از پرامپت‌نویسی و سبک‌ها تا نورپردازی و زاویه دوربین. دو مسیر جدید برای یادگیری حرفه‌ای‌تر هوش مصنوعی 🚀 🆔 کانال مهندس هوش 🫟 @M

6 Aug 2026, 15:01 UTC93 views4 reactionsread 7 August 2026
Video

اتفاقات این روزهای مهندس هوش... این مدت مشغول برگزاری دوره فریم صفر بودیم حالا برگشتیم؛ با برنامه، منظم و پرقدرت 😎✋ از این به بعد آموزش‌های کاربردی هوش مصنوعی رو به‌صورت مستمر توی کانال منتشر می‌کنیم. 🆔 کانال مهندس هوش 🫟 @MohandesHoosh

4

4 Aug 2026, 09:23 UTC165 views8 reactionsread 7 August 2026
Photo

اربعین، یادآورِ عهدی‌ست که با گذر زمان فراموش نمی‌شود... السلام علیک یا اباعبدالله الحسین (ع) 🖤 طراحان : 1.فاطمه زهرا سیستانی 2. حدیثه عسکری #تولید_هوش 🆔 کانال مهندس هوش 🫟 @MohandesHoosh

5👏1🔥1🤣1

3 Aug 2026, 19:44 UTC180 views7 reactionsread 7 August 2026
Photo

وقتی کار درست باشه، صاحبِ نوحه هم مشتاق دیدنش میشه... 🤍 🆔 کانال مهندس هوش 🫟 @MohandesHoosh

6👏1

3 Aug 2026, 17:43 UTC168 views9 reactionsread 7 August 2026
Video

زائر ویژه مشایه اربعین، مسیر تجدید عهد است؛ عهد با خون شهیدان، با پرچم ولایت و با امید ظهوری که پایان تمام غربت‌هاست. این راه از کربلا آغاز شده و تا رسیدن صاحب‌الزمان(عج) ادامه دارد... #تولید_هوش 🆔 کانال مهندس هوش 🫟 @MohandesHoosh

8🔥1

2 Aug 2026, 18:13 UTC203 views5 reactionsread 7 August 2026
Video

گاهی یک ویدیو، فقط چند ثانیه است... اما پشت آن، ساعت‌ها آموزش، تمرین، تجربه و خاطره قرار دارد. این، خلاصه‌ای از «فریم ۰» است. آغازی برای مسیرهای بزرگ‌تر... #مدرسه_مهندس_هوش 🆔 کانال مهندس هوش 🫟 @MohandesHoosh

5

2 Aug 2026, 13:28 UTC180 views3 reactionsread 7 August 2026
Video

🎬 خلاصه‌ای از جلسه پایانی «فریم ۰» در آخرین جلسه، شرکت‌کنندگان آموخته‌های خود را در قالب تمرین عملی به کار گرفتند و خروجی‌های خود را اجرا و ارائه کردند. 📍 زاهدان | پارک علم و فناوری #مدرسه_مهندس_هوش 🆔 کانال مهندس هوش 🫟 @MohandesHoosh

3

Showing the 12 most recent of 20 posts we hold for @mohandeshoosh. 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 — 1,259,163 of 1,480,688entries 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.

Mentions

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.

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

“مهندس هوش” (@mohandeshoosh), 1,655 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/mohandeshoosh.

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.