📩 تبادل و تبلیغات: @Ta_mecha
همچنین برای دریافت رایگان اکانت بهترین هوشمصنوعی های دنیا به ادمین پیام بدین
قویترین آرشیو دانشگاه صنعتی شریف برای رشتههای مهندسی و آرشیو دروس علومپزشکی
Created
Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 62% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
37 measurements spanning 96 days, net +699. 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 9,232–10,223 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)
Subscribers
Change
10 Nov 2026, 06:51
10,056
-14
8 Nov 2026, 17:38
10,070
-24
7 Nov 2026, 11:48
10,094
+21
6 Nov 2026, 11:01
10,073
-16
5 Nov 2026, 08:11
10,089
-11
4 Nov 2026, 10:08
10,100
-9
3 Nov 2026, 12:47
10,109
+25
2 Nov 2026, 15:41
10,084
-10
1 Nov 2026, 16:07
10,094
-13
31 Oct 2026, 13:28
10,107
+21
30 Oct 2026, 10:40
10,086
-23
29 Oct 2026, 11:06
10,109
+46
28 Oct 2026, 09:59
10,063
-11
27 Oct 2026, 09:11
10,074
+71
26 Oct 2026, 11:39
10,003
+41
23 Oct 2026, 18:31
9,962
-35
21 Oct 2026, 00:57
9,997
-2
17 Oct 2026, 19:47
9,999
+69
14 Oct 2026, 09:06
9,930
-4
11 Oct 2026, 02:21
9,934
first reading
Engagement
89 posts held, back to 27 July 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 52 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.2%
avg views ÷ 10,056 subscribers
Avg views / post
1,020
36 posts measured
Reaction rate
0.231%
reactions ÷ views · ER floor
Posts in window
37
of 89 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 23 of 36 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
89 (27 July 2026 – 11 November 2026)
Views total
36,787
Reactions total
53
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 10:46 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
204
Videos
168
Links
487
Lifetime counters from Telegram’s own channel header, read 11 November 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
2m 12s
Average length
33s
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
157 reactions across 50 posts, in 12 distinct kinds. The most used accounts for 65.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
102
65.0%
👎
19
12.1%
👍
14
8.92%
🤨
6
3.82%
💔
4
2.55%
👌
2
1.27%
🔥
2
1.27%
🕊
2
1.27%
🤡
2
1.27%
🤣
2
1.27%
🌚
1
0.637%
👏
1
0.637%
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 58 of the 89 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 157 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 89 most recent posts we hold, published 27 July 2026 to 11 November 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
Telegram’s own ‘edited’ marker: 3 of 37 posts held from the last 30 days (8.11%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
اولین دوربین دیجیتال جهان؛ دستگاهی که آینده عکاسی رو تغییر داد!
امروزه با گوشیهای هوشمند میتونیم در چند ثانیه دهها عکس بگیریم، اونها رو ویرایش کنیم و حتی در لحظه برای دیگران بفرستیم. اما چند دهه قبل، عکاسی دنیای کاملاً متفاوتی داشت.در اون زمان برای ثبت یک تصویر، به فیلم عکاسی و نگاتیو نیاز بود و برای دیدن نتیجه عکس هم باید مراحل ظهور و چاپ انجام میشد.اما یک اختراع مسیر این صنعت رو برای همیشه تغییر داد!
📸 اولین…
رد سفیدی که هواپیماها در آسمان باقی میذارن چیه؟
حتماً شما هم خطوط سفید و بلندی رو دیدین که بعضی هواپیماها در آسمون به جا میذارن.
اما آیا این خطوط دود موتور هواپیما هستن؟
در واقع، بیشتر این خطوط از بلورهای ریز یخ تشکیل شدن!وقتی هواپیما در ارتفاع بالا پرواز میکنه، بخار آب حاصل از احتراق سوخت وارد هوای بسیار سرد اطراف میشه.
این بخار آب در شرایط مناسب متراکم میشه و به بلورهای کوچک یخ تبدیل میشه. به این پدیده Con…
هدفونها چطور صدای محیط رو حذف میکنن؟
تا حالا از خودتون پرسیدین هدفونهای نویز کنسلینگ چطور میتونن صدای هواپیما، ترافیک یا همهمه اطراف رو تا حد زیادی کاهش بدن؟
این فناوری با استفاده از مفهومی در فیزیک به نام «تداخل امواج» کار میکنه.
هدفونهای Active Noise Cancellation یا ANC، با استفاده از میکروفونهای کوچکی که داخل یا بیرون هدفون قرار دارن، صدای محیط رو دریافت میکنن.بعد یک مدار الکترونیکی، موج صوتیای با فاز م…
🎓 با مکتبخونه، بورسیهی دانشگاه هاروارد شو!
🎉 مکتبخونه به مناسبت تولد ۱۵ سالگیش یک قرعهکشی ویژه برگزار کرده؛
از بورسیه دوره آموزشی دانشگاه هاروارد به ارزش ۲۰۰۰ دلار گرفته تا اشتراک ChatGPT Plus و مکتبخونه داره جایزه میده.
🔥 علاوه بر جوایز قرعهکشی، تخفیفهای ویژه تولد مکتبخونه هم فعال شده:
▪️ ۸۰٪ تخفیف اشتراک یکساله
▪️ تا ۷۰٪ تخفیف دورههای آموزشی
⏳ مهلت: تا ۲۲ آبان
🔗 برای مشاهده جوایز و شرایط شرکت در قرع…
🔭 تلسکوپ فضایی Swift پس از نزدیک به ۲۲ سال به زمین بازگشت!
یکی از مأموریتهای علمی مهم ناسا به پایان رسید.
رصدخانه فضایی Swift که در سال ۲۰۰۴ به فضا پرتاب شده بود، پس از نزدیک به ۲۲ سال فعالیت، وارد جو زمین شد و در منطقهای بر فراز اندونزی سقوط کرد.
این تلسکوپ در ابتدا برای مأموریتی حدوداً دو ساله طراحی شده بود؛ اما توانست بسیار بیشتر از زمان پیشبینیشده فعالیت کنه.
مأموریت اصلی Swift مطالعه انفجارهای پرتو گاما …
🔴آنتروپیک از ۲۱ آبان محدودیتهای دسترسی به کلود رو بر اساس محل حضور کاربران و مالکیت شرکتها اعمال میکنه.
بکاپ بگیرید!!!
▪️آنتروپیک از ۲۱ آبان، دسترسی به محصولات و خدماتش را به کشورهای تحت پشتیبانی با سختگیری بیشتری محدود میکنه که طبیعتا کشورمون ایران هم توی لیست نیست.
▪️این سیاست، اپلیکیشنهایی نظیر http://Claude.ai، Claude Code و Cowork، همچنین پلتفرم توسعهدهندگان و API مدلهای Claude عرضه شده از طریق پلتفرمه…
- این تصویر رو بدید به چت جی پی تی و این پرامپت رو براش بنویسید ؛ نتیجش خیلی جالبه حتما امتحان کنید :
Fill this room with what you know about me
دریافت اکانت رایگان گپجیپیتی
ویدئو های آموزشی رایگان مهندسی و علوم پزشکی
@project_hq
🌊 چرا دانشمندان یک تلسکوپ را در اعماق دریا نصب کردند؟!
شاید وقتی اسم تلسکوپ رو میشنوین، اولین چیزی که به ذهنتون میرسه رصد ستارهها و کهکشانها از روی زمینه؛ اما دانشمندان برای مطالعه بعضی از اسرار جهان، بهجای آسمون سراغ اعماق دریا رفتن!
پروژهای به نام KM3NeT در دریای مدیترانه در حال توسعه است؛ یک رصدخانه عظیم زیرآبی که برای شناسایی ذرات مرموزی به نام «نوترینو» طراحی شده.
نوترینوها چی هستن؟ نوترینوها ذرات بنیادی…
+ چطوری زبان سیستم رو تغییر بدم؟
- جانشین رو بگیر، انتقالش بده 😭😭
دریافت اکانت رایگان گپجیپیتی
ویدئو های آموزشی رایگان مهندسی و علوم پزشکی
@project_hq
یه مرد آلمانی گوگل رو کشوند دادگاه و برنده شد! 😂
▪️ماجرا از این قراره که یه شهروند آلمانی نمی خواست عکس خونه و حیاطش توی Google Maps و Google Earth دیده بشه.
▪️اول به گوگل نامه زد و درخواست کرد تصاویر ملکش رو حذف کنه، اما گوگل زیر بار نرفت! این آقا هم بیخیال نشد و شکایت کرد.
در نهایت دادگاه به نفعش رای داد و گوگل مجبور شد تصاویر بخش هایی از ملکش رو محو کنه.
دریافت اکانت رایگان گپجیپیتی
ویدئو های آموزشی رایگان…
معرفی مدل جدید OpenAI برای امنیت سایبری!
شرکت OpenAI از مدل جدیدی به نام GPT-6 Cyber رونمایی کرده است.
این مدل با تمرکز بر امنیت سایبری طراحی شده و میتواند به متخصصان کمک کند تا آسیبپذیریهای نرمافزاری را شناسایی کرده و برای برطرف کردن آنها راهحل پیدا کنند.
یکی از اهداف مهم این فناوری، شناسایی مشکلات امنیتی پیش از سوءاستفاده هکرهاست.
🔐 نکته جالب اینجاست که هوش مصنوعی بهتدریج از یک ابزار ساده برای پاسخگویی به…
ℹ️ ویسکوزیته (Viscosity)
ویسکوزیته یا گرانروی، یکی از مهمترین خواص فیزیکی سیالات است که میزان مقاومت آنها در برابر جاری شدن و تغییر شکل را نشان میدهد.
📌 ۱. تفاوت ویسکوزیته در مایعات و گازها
رفتار ویسکوزیته در مایعات و گازها نسبت به تغییر دما متفاوت است:
▪️در مایعات: با افزایش دما، ویسکوزیته معمولاً کاهش مییابد؛ زیرا با افزایش انرژی مولکولها، اثر نیروهای بینمولکولی در برابر جریان کمتر میشود.
▪️در گازها: ب…
Showing the 12 most recent of 89 posts we hold for @project_hq. 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 recorded as deleted after publishing
We recorded 7 posts on @project_hq as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
7 August 2026
Most recent seen missing
7 November 2026
Median time before seen missing
24 hours
Seen missing in the last 30 days
2
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 117 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@project_hq named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@proghe_eda named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 3 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“آموزشیار(آموزش و اشتراک رایگان هوشمصنوعی )” (@project_hq), 10,056 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/project_hq.
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.