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Telegram profile photo for Daneshjooyar | دانشجویار

Channel

Daneshjooyar | دانشجویار

@daneshjooyar

On this record: Previous handles · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

7,417subscribers

-39 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-1001001110153
TypeChannel
Username@daneshjooyar
CreatedBetween 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/daneshjooyar

Previous handles

Recorded in 2019 as “دانشجویار|daneshjooyar — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.

Growth

7,4137,4647,438.55 August 2026 — 7,456 subscribers6 August 2026 — 7,456 subscribers6 August 2026 — 7,464 subscribers9 August 2026 — 7,454 subscribers15 August 2026 — 7,443 subscribers19 August 2026 — 7,435 subscribers22 August 2026 — 7,436 subscribers25 August 2026 — 7,435 subscribers28 August 2026 — 7,429 subscribers31 August 2026 — 7,413 subscribers4 September 2026 — 7,417 subscribers7,4175 August 20264 September 2026
11 measurements spanning 30 days, net -39. 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 7,405–7,472 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Sept 2026, 10:157,417+4
31 Aug 2026, 15:477,413-16
28 Aug 2026, 13:247,429-6
25 Aug 2026, 20:537,435-1
22 Aug 2026, 15:097,436+1
19 Aug 2026, 00:357,435-8
15 Aug 2026, 19:467,443-11
9 Aug 2026, 20:317,454-10
6 Aug 2026, 22:307,464+8
6 Aug 2026, 03:077,456no change
5 Aug 2026, 21:457,456first reading

Engagement

100 posts held, back to 2 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 15 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.41%
avg views ÷ 7,417 subscribers
Avg views / post
401
75 posts measured
Reaction rate
1.11%
reactions ÷ views · ER floor
Posts in window
78
of 100 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 62 of 75 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 27 August 2026
Posts held100 (2 August 202627 August 2026)
Views total30,102
Reactions total274
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 23:06 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.

Reaction mix

323 reactions across 73 posts, in 9 distinct kinds. The most used accounts for 67.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
21867.5%
🏆288.67%
👌195.88%
👍164.95%
🔥164.95%
👏144.33%
💯61.86%
👎51.55%
👀10.31%

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 74 of the 100 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 329 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 100 most recent posts we hold, published 2 August 2026 to 27 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

27 Aug 2026, 14:26 UTC345 views5 reactionsread 28 August 2026

#انتشار https://www.daneshjooyar.com/html-css-course/ دوره طلایی آموزش HTML CSS | طراحی سایت از صفر تا پروژه عملی با تدریس استاد رضا رضایی منتشر شد✅ @daneshjooyar

5

27 Aug 2026, 14:26 UTC352 views3 reactionsread 28 August 2026

#انتشار https://www.daneshjooyar.com/javascript-for-frontend/ دوره طلایی پروژه‌محور آموزش جاوااسکریپت (JavaScript) مخصوص فرانت‌اند با تدریس استاد رضا رضایی منتشر شد✅ @daneshjooyar

3

27 Aug 2026, 14:26 UTC331 views4 reactionsread 28 August 2026

#انتشار https://www.daneshjooyar.com/free-html-css/ دوره مقدماتی آموزش HTML CSS رایگان – از پایه و بدون پیش‌نیاز با تدریس استاد رضا رضایی منتشر شد✅ @daneshjooyar

4

27 Aug 2026, 14:25 UTC325 views3 reactionsread 28 August 2026

#انتشار https://www.daneshjooyar.com/windows-penetration-testing/ دوره نقره ای عملی آموزش تست نفوذ ویندوز و شناسایی هکر به روش APT با تدریس استاد سجاد شمسی صدر منتشر شد ✅ @daneshjooyar

3

27 Aug 2026, 14:25 UTC309 views3 reactionsread 28 August 2026

#انتشار https://www.daneshjooyar.com/creating-photos-with-ai/ دوره نقره ای آموزش ساخت عکس با هوش مصنوعی با تدریس استاد ماهان رشنو منتشر شد✅ @daneshjooyar

3

26 Aug 2026, 10:24 UTC412 views5 reactionsread 28 August 2026
Photo

🎙️ دانشجویارکست | مسیـر واقعـی رشـد در دنیـای کامپیوتـر در قسمت پنجم دانشجویارکست، پای صحبت خانم حاجی‌پور، مدیر عملیات وبسایت دانشجویار نشستیم تا از تجربه‌های کاری، مسیر رشد شغلی و چالش‌های ورود به بازار کار برامون بگن💙 از کاریابی در حوزه‌های مختلف، به‌خصوص تکنولوژی و کامپیوتر، تا چالش‌هایی که بانوان در مسیر ورود و پیشرفت شغلی باهاش مواجه میشن. اگر تو هم دوست داری بدونی چطور میشه با وجود چالش‌های مختلف، وارد بازار

5

26 Aug 2026, 08:40 UTC887 views5 reactionsread 28 August 2026
Photo

از صفر تا تبدیل شدن به یه متخصص حرفه‌ای یادگیری ماشین 🤖🚀 اگه می‌خوای یادگیری ماشین رو اصولی یاد بگیری و وارد دنیای جذاب هوش مصنوعی بشی، این دوره دقیقاً برای خودتــه 🫵 هـمــراه با: • مدرک معتبر دو زبانه • پشتیبانی تخصصی با تخفیف ویژه، همین الان این دوره خفنــو تهیه کـن 😍👇 کد تخفیف: Gold_16 🔗 https://www.daneshjooyar.com/machine-learning/ 🎁 برای دریافت هدیه، پست قبلی رو حتماً بخون! @daneshjooyar

5

26 Aug 2026, 08:37 UTC388 views5 reactionsread 28 August 2026
Photo

🎊✨هدیــه ویژه چهارشنبه طلایی ✨🎊 بعد از استفاده از کد تخفیف پست بعد (بعد از تهیه دوره طلایی ماشین لرنینگ) به پشتیبانی پیام بده تا کد تخفیف 100٪ دوره هدیه برات ارسال بشه😌💙 دوره آموزش پرامپت نویسی در هوش مصنوعی آیدی پشتیبانی: @daneshjooyar_poshtiban - توجه داشته باشین که این هدیه شامل 10 نفر اولی میشه که دوره طلایی رو تهیه کنن✅ @daneshjooyar

5

26 Aug 2026, 08:35 UTC352 views1 reactionsread 28 August 2026

پس این دوره خفن با همچین پشتیبانی و محتوای درجه یک رو برای یادگیری هوش مصنوعی از دست نده!! 👇👇👇 @daneshjooyar

1

26 Aug 2026, 08:33 UTC357 views1 reactionsread 28 August 2026

مدرس دوره، کسیِ که دکترای هوش مصنوعی داره و سال‌ها تمرکزش روی این حوزه بوده، مفاهیم پیچیده رو به زبانی ساده توضیح میده و همراهته تا همه چیز رو با مثال‌های عملی و پروژه‌های واقعی یاد بگیری👌💻 @daneshjooyar

1

26 Aug 2026, 08:30 UTC369 views1 reactionsread 28 August 2026

ماشین لرنینگ، همون نقطه‌ی شروع برای ورود تـ🫵ــو به دنیای هوش مصنوعیه با یادگیری ماشین لرنینگ می‌تونی فراتر از ابزارهای آماده بری، سیستم‌های خودکار بسازی و هوش مصنوعی رو به شکل تخصصی و کاربردی یاد بگیری💻 دوره ماشین لرنینگ دانشجویار مسیر یادگیری کاملاً منسجم طراحی شده و از همون ابتدا با پروژه‌های واقعی تمرین می‌کنی تا مهارت‌های خودت رو در عمل تجربه کنی و نمونه‌کار آماده داشته باشی💪 @daneshjooyar

1

Showing the 12 most recent of 100 posts we hold for @daneshjooyar. 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.

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 6 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.

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.

FaraDars | فرادرس‌‎
@faradars · 61,324
Telegram ranks this channel #26 of 87 here — alongside 86 others — read 22 August 2026
ایمان سرورپور | روان درمانگر
@imansarvarpour_masir_academy · 50,991
Telegram ranks this channel #56 of 82 here — alongside 81 others — read 25 August 2026
Telegram Designers
@designers · 71,633
Telegram ranks this channel #61 of 67 here — alongside 66 others — read 20 August 2026

This channel appears in 3 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 4 September 2026 — this entry's latest reading, not the date you are reading this.

“Daneshjooyar | دانشجویار” (@daneshjooyar), 7,417 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/daneshjooyar.

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.