🎓 جعبهابزار دانشجو
🤖 ابزارهای AI | آموزش | نرمافزار | منابع
💻 ترفندهای کاربردی دانشگاه و مهندسی
📚 فایلها و منابع رایگان
📢 همکاری و ارسال خبر: @MECHATEK1
Created
Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
8 measurements spanning 5 days, net +97. 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 32,167–32,304 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 00:15
32,288
+60
11 Aug 2026, 01:07
32,228
+2
10 Aug 2026, 04:11
32,226
+4
9 Aug 2026, 05:02
32,222
+39
8 Aug 2026, 03:02
32,183
-9
7 Aug 2026, 02:41
32,192
+1
6 Aug 2026, 21:15
32,191
no change
6 Aug 2026, 21:04
32,191
first reading
Engagement
51 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
12.5%
avg views ÷ 32,288 subscribers
Avg views / post
4,050
49 posts measured
Reaction rate
0.897%
reactions ÷ views · ER floor
Posts in window
51
of 51 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
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
51 (3 August 2026 – 12 August 2026)
Views total
198,460
Reactions total
1,781
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 21:17 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
≈158
Videos
≈495
Links
≈1,000
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
47s
Average length
47s
Measured directly from 1 video 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
1,781 reactions across 49 posts, in 21 distinct kinds. The most used accounts for 29.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
525
29.5%
❤
413
23.2%
🤣
342
19.2%
💔
114
6.40%
👌
67
3.76%
🤡
48
2.70%
🎉
44
2.47%
🥰
44
2.47%
❤🔥
43
2.41%
👎
39
2.19%
🔥
24
1.35%
😭
21
1.18%
💯
16
0.898%
🥴
12
0.674%
😍
6
0.337%
🤔
6
0.337%
😢
5
0.281%
🙏
5
0.281%
🤩
4
0.225%
😱
2
0.112%
1 further kind
1
0.056%
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 49 of the 51 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 1,781reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 51 most recent posts we hold, published 3 August 2026 to 12 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.
🚨 ۳۰ کد ChatGPT که احتمالاً تا حالا نمیدونستی!
این کدها میتونن نحوه استفادهت از ChatGPT رو خیلی حرفهایتر کنن؛ از تحقیق و خلاصهسازی تا کدنویسی، ایدهپردازی، ترجمه و حتی آمادهشدن برای مصاحبه
📌 لیست کاملش رو ذخیره کن که گم نشه؛
ولی اگه دانشجویی، یه سر هم به کانال بزن 👇
@mechatek
💢 ۶۰۰ آموزش ۱۱۹ هزار تومنی
➕ ۸۰٪ تخفیف برای سایر آموزشهای فرادرس
✔️ در این طرح یادگیری، ۶۰۰ آموزش منتخب با قیمت ۱۱۹,۰۰۰ تومن در دسترس شماست و علاوه بر آن، سایر آموزشها با ۸۰ درصد تخفیف قابل دریافت است.
👇 دسترسی آسان به منابع آموزشی 👇
🔗 [ آموزشهای مهندسی مکانیک ]
🔗 [ تمامی آموزشهای ۱۱۹ هزار تومنی ]
برای مشاهده سایر آموزشها و استفاده از تخفیف ۸۰ درصدی، روی لینک زیر کلیک کنید:
🔗 [مشاهده سایر آموزشها]
🔄 Fa…
🔬 چطور یک مقاله علمی را در ۱۰ دقیقه ارزیابی کنیم؟
قبل از اینکه ۲۰ صفحه مقاله رو بخونی، اول این ۷ مورد رو بررسی کن:
1️⃣ عنوان و سؤال پژوهش
آیا مقاله دقیقاً یک مسئله مشخص را بررسی میکند یا موضوعش بیش از حد کلی است؟
2️⃣ سال انتشار
در حوزههای سریعالتغییر، مقاله قدیمی ممکنه هنوز ارزشمند باشه، اما نباید بدون بررسی منابع جدید بهش تکیه کرد.
3️⃣ مجله و ناشر
فقط اسم مجله کافی نیست؛ نمایهشدن، اعتبار مجله و کیفیت فرایند…
نظریهٔ نامحبوب:داشتن و استفاده کردن از اکانت کلاد برای اکثر مردم مثل خرید یه چیز گرون مث iphone هست و صرفا کـلاس داره، در حالی که عمــدهی نیازهاشون حتی با ai های رایگان هم برطرف میشه!
@mechatek
🚨 ۷ اشتباه رایج دانشجوها در مقالهنویسی
اگه میخوای مقالهات از همون اول آماتور به نظر نرسه، این ۷ مورد رو جدی بگیر 👇
❌ ۱. موضوع خیلی کلی
«هوش مصنوعی در مهندسی» موضوع نیست؛ باید دقیق و قابل بررسی باشه.
❌ ۲. استفاده از منابع ضعیف
هر سایتی منبع علمی محسوب نمیشه؛ سراغ مقالههای معتبر و منابع علمی برو.
❌ ۳. کپیکردن بدون بازنویسی
حتی با ذکر منبع، کپی مستقیم متن میتونه مشکلساز بشه.
❌ ۴. رفرنسدهی نامنظم
منابع داخل…
🚨یه سری سایت هستن که میتونن درس خوندن، تحقیق، پیدا کردن منابع و حتی یادگیری مهارتهای جدید رو برات خیلی راحتتر کنن؛ بدون اینکه لازم باشه برای هر چیزی پول بدی،از درس و کتاب دانشگاهی تا مقاله، برنامهنویسی و حل مسائل ریاضی
▪️دوره و جزوه دانشگاهی
▪️کتابهای درسی رایگان
▪️آموزش و تمرین
▪️منابع دانشگاهی
▪️مقاله و منابع علمی
▪️نمودار و ریاضیات
▪️برنامهنویسی
▪️منابع آموزشی متنوع
▪️آرشیو ویدیو های شریف
@mechatek
کانال جزوات دانشجویی pinned «اگه مهندس پزشک هستی یا به این حوزه علاقمندی این کانال و از دست نده👇 🩺 اطلاعرسانی وبینارها و کارگاههای تخصصی 🩺 معرفی و آموزش نرمافزارهای کاربردی مهندسی پزشکی 🩺 منابع آموزشی و فایلهای تخصصی مهندسی پزشکی 🩺 مشاوره و همکاری در انجام پروژههای مهندسی 🩺 اطلاعرسانی…»
اگه مهندس پزشک هستی یا به این حوزه علاقمندی این کانال و از دست نده👇
🩺 اطلاعرسانی وبینارها و کارگاههای تخصصی
🩺 معرفی و آموزش نرمافزارهای کاربردی مهندسی پزشکی
🩺 منابع آموزشی و فایلهای تخصصی مهندسی پزشکی
🩺 مشاوره و همکاری در انجام پروژههای مهندسی
🩺 اطلاعرسانی موقعیتهای شغلی و فرصتهای کاری
#ارسال_دوستان
@bioparspajouhaan
🚨سال تحصیلی جدید به صورت حضوری آغاز میشود
معاون سنجش:
▪️سال تحصیلی جدید با حضور دانشآموزان و دانشجویان و با آمادگی حداکثری، کمترین دغدغه و بهترین شرایط ممکن آغاز خواهد شد.
@mechatek
عجیبترین قسمت دانشگاه اینه که یه درس رو سه ماه نمیفهمی، شب امتحان یهو میگی: «آهااااا»
و صبح دوباره هیچی یادت نیست.
@mechatek
👍67🤣29❤3😢2😱2🥱1
Showing the 12 most recent of 51 posts we hold for @MECHATEK. 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.
Posts edited after publishing
@MECHATEK edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 August 2026
Most recent edit
9 August 2026
Citation-graph rank
Citation-graph rank — 152,261 of 1,151,006entries 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 5 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“MECHATEK | مرجع دانشگاهی” (@MECHATEK), 32,288 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/MECHATEK.
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.