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Channel

دانشکار | آموزش برنامه‌نویسی و هوش‌مصنوعی

@daneshkargroup

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry

17,330subscribers

-255 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001122927074
TypeChannel
Username@daneshkargroup
Created6 May 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/daneshkargroup

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

17,33017,58517,457.55 August 2026 — 17,585 subscribers6 August 2026 — 17,585 subscribers6 August 2026 — 17,578 subscribers7 August 2026 — 17,571 subscribers8 August 2026 — 17,565 subscribers9 August 2026 — 17,560 subscribers10 August 2026 — 17,553 subscribers12 August 2026 — 17,539 subscribers14 August 2026 — 17,528 subscribers15 August 2026 — 17,519 subscribers17 August 2026 — 17,504 subscribers18 August 2026 — 17,515 subscribers20 August 2026 — 17,508 subscribers21 August 2026 — 17,503 subscribers23 August 2026 — 17,497 subscribers24 August 2026 — 17,490 subscribers25 August 2026 — 17,491 subscribers26 August 2026 — 17,487 subscribers27 August 2026 — 17,485 subscribers28 August 2026 — 17,480 subscribers29 August 2026 — 17,481 subscribers30 August 2026 — 17,474 subscribers31 August 2026 — 17,467 subscribers2 September 2026 — 17,478 subscribers3 September 2026 — 17,462 subscribers6 September 2026 — 17,454 subscribers9 September 2026 — 17,436 subscribers11 September 2026 — 17,417 subscribers13 September 2026 — 17,428 subscribers15 September 2026 — 17,422 subscribers17 September 2026 — 17,416 subscribers26 September 2026 — 17,392 subscribers4 October 2026 — 17,393 subscribers9 October 2026 — 17,422 subscribers13 October 2026 — 17,427 subscribers14 October 2026 — 17,426 subscribers15 October 2026 — 17,430 subscribers16 October 2026 — 17,425 subscribers17 October 2026 — 17,413 subscribers18 October 2026 — 17,410 subscribers19 October 2026 — 17,416 subscribers20 October 2026 — 17,414 subscribers21 October 2026 — 17,406 subscribers22 October 2026 — 17,402 subscribers23 October 2026 — 17,399 subscribers24 October 2026 — 17,398 subscribers26 October 2026 — 17,391 subscribers27 October 2026 — 17,382 subscribers28 October 2026 — 17,371 subscribers29 October 2026 — 17,373 subscribers30 October 2026 — 17,366 subscribers1 November 2026 — 17,357 subscribers1 November 2026 — 17,354 subscribers2 November 2026 — 17,346 subscribers3 November 2026 — 17,342 subscribers4 November 2026 — 17,338 subscribers5 November 2026 — 17,330 subscribers5 August 20265 November 2026
57 measurements spanning 92 days, net -255. 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 17,292–17,623 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
5 Nov 2026, 19:3817,330-8
4 Nov 2026, 20:4617,338-4
3 Nov 2026, 20:3017,342-4
2 Nov 2026, 22:5517,346-8
1 Nov 2026, 23:0017,354-3
1 Nov 2026, 00:0617,357-9
30 Oct 2026, 00:3717,366-7
29 Oct 2026, 02:3917,373+2
28 Oct 2026, 00:4417,371-11
27 Oct 2026, 03:4017,382-9
26 Oct 2026, 00:5917,391-7
24 Oct 2026, 22:2917,398-1
23 Oct 2026, 20:2517,399-3
22 Oct 2026, 21:2817,402-4
21 Oct 2026, 15:2117,406-8
20 Oct 2026, 14:3917,414-2
19 Oct 2026, 17:0017,416+6
18 Oct 2026, 15:2117,410-3
17 Oct 2026, 13:1917,413-12
16 Oct 2026, 11:5617,425first reading

Engagement

42 posts held, back to 13 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 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
52.8%
avg views ÷ 17,330 subscribers
Avg views / post
9,150
14 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
14
of 42 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 3 November 2026
Posts held42 (13 July 2026 – 3 November 2026)
Views total128,124
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 16:08 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
3h 31m
Average length
3h 31m

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.

Recent posts

Telegram’s own ‘edited’ marker: 5 of 14 posts held from the last 30 days (35.7%) 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).

3 Nov 2026, 14:27 UTC427 viewsread 5 November 2026
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📊 بوت‌کمپ علم داده دانشکار، شروع ۲۳ آبان اگه می‌خوای از پایه وارد دیتا بشی و ۵ ماه وقت داری، این دوره دقیقا برای همینه. ۲۰ هفته آموزش پروژه‌محور: ▫️ پایتون، گیت و پایگاه داده ▫️ آمار و تحلیل داده با پایتون ▫️ ماشین لرنینگ مقدماتی و پیشرفته ▫️ AI in Data و پروژه‌ی نهایی 🎓مدرس اصلی دوره سروش قادری، دیتا ساینتیست تپسی‌فود. 📍کنار آموزش، رزومه‌نویسی، لینکدین و شبیه‌سازی مصاحبه هم داری. 🗞اگه دوره رو تموم کنی، وارد فرای…

2 Nov 2026, 10:43 UTC743 viewsread 5 November 2026
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🎓 ۳۰٪ تخفیف دوره هوش مصنوعی برای معلمان آماده کردن طرح درس، اسلاید، تمرین و آزمون، کلی از وقت هر معلمی رو می‌گیره. تو این دوره یاد می‌گیری با ابزارهای هوش مصنوعی همین کارها رو سریع‌تر و دقیق‌تر انجام بدی و AI رو متناسب با نیاز خودت و دانش آموزات به کار بگیری. 🔹 تو این دوره چی یاد می‌گیری؟ ▫️ کار با ChatGPT و چت‌بات‌های هوش مصنوعی برای تدریس ▫️ پژوهش و تولید محتوای آموزشی با Deep Research ▫️ ساخت تصویر، ویدیو و اسل…

2 Nov 2026, 09:26 UTC775 viewsread 5 November 2026
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📊 دوره‌ی جامع Power BI دانشکار | ۵۰٪ تخفیف داده داری، ولی نمی‌دونی داره چی می‌گه؟ تو این اسکیل‌کمپ یاد می‌گیری اطلاعات خام رو به گزارش و داشبوردهایی تبدیل کنی که تصمیم‌گیری رو دقیق‌تر می‌کنن؛ چه تو مارکتینگ باشی، چه مالی، مدیریت یا منابع انسانی. 🔹 چی یاد می‌گیری؟ ▫️ مدل‌سازی داده و ارتباط بین جدول‌ها ▫️ پاک‌سازی و آماده‌سازی داده با Power Query (زبان M) ▫️ محاسبات و تحلیل با DAX ▫️ ساخت داشبورد و گزارش تعاملی ▫️ کا…

1 Nov 2026, 13:27 UTC849 viewsread 5 November 2026
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◀️ثبت‌نام بوتکمپ طراحی محصول(UI/UX) شروع شد. ◀️یه دوره جامع که میتونی تو 5 ماه به سطحی برسی که بتونی به صورت حرفه‌ای در این حوزه مشغول به کار بشی. ثبت‌نام: 👇🏻👇🏻 https://dnkr.ir/yWr8b https://dnkr.ir/yWr8b

26 Oct 2026, 11:36 UTC≈1,340 viewsread 5 November 2026
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🔌 ایجنتت رو به هر ابزاری وصل کن! وقتی یک AI Agent قراره فراتر از جواب دادن کار کنه و به دیتابیس، API و سرویس‌های مختلف وصل بشه، MCP همون استانداردیه که این ارتباط رو ممکن می‌کنه. 📚 دوره جامع MCP (Model Context Protocol) با پایتون 👨‍💻 مدرس: پرهام بیچرانلو | AI Engineer at Mydigipay توی این دوره یاد می‌گیری: 🔹 ساخت MCP Server و MCP Client با Python و FastMCP 🔹 اتصال ابزارها و داده‌ها به AI Agent 🔹 معماری، پیاده‌سازی…

20 Oct 2026, 12:15 UTC≈1,610 viewsread 5 November 2026
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💻 می‌خوای برنامه‌نویسی یاد بگیری ولی نمی‌دونی از کجا شروع کنی؟ پایتون ساده‌ترین و پرکاربردترین زبان برنامه‌نویسی دنیاست؛ همون زبانی که پشت هوش مصنوعی، علم داده، سایت‌ها و خیلی از ابزارهای روزمره‌ست. با یاد گرفتنش می‌تونی: ✅ بدون هیچ پیش‌زمینه‌ای اولین برنامه‌ت رو بنویسی ✅ کارهای تکراری روزانه‌ت رو خودکار کنی ✅ راه ورود به حوزه‌هایی مثل هوش مصنوعی و تحلیل داده رو برای خودت باز کنی ✅ یه مهارت پردرآمد و آینده‌دار به ر…

18 Oct 2026, 12:40 UTC≈1,540 viewsread 5 November 2026
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یه وبینار به شدت جذاب برای فعالین صنعت مارکتینگ داریم با موضوع بررسی تاثیر هوش مصنوعی بر تولید محتوا و تبلیغات و راه‌های حفظ خلاقیت در این صنعت با ارائه علیرضا کاظم‌زاده ثبت‌نام رایگان: 👇🏻👇🏻 https://dnkr.ir/6edwP @daneshkargroup

18 Oct 2026, 07:25 UTC≈1,630 viewsread 5 November 2026
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♾️ اشتراک دانشکار؛ یادگیری بی‌نهایت دیگه لازم نیست برای هر مهارت جدا یه دوره بخری 👇 با یه اشتراک، به همه دوره‌های دانشکار دسترسی داری: 🔹 بیش از ۲۵۰ ساعت آموزش اختصاصی 🔹 بیش از ۴۰ دوره کاربردی؛ از برنامه‌نویسی و طراحی سایت تا هوش مصنوعی، علم داده و توسعه فردی 🔹 دستیار هوش مصنوعی آموزشی که هر وقت گیر کردی جوابت رو می‌ده 🔹 آزمون پایان دوره و گواهینامه 🔹 دسترسی به دوره‌های جدیدی که اضافه می‌شن 💰 قیمت‌ها: ▫️ اشتراک ۶ ما…

17 Oct 2026, 13:02 UTC≈1,610 viewsread 5 November 2026
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📊 هنوز ساعت‌ها وقت می‌ذاری که یه گزارش ساده رو توی اکسل دستی درست کنی؟ بیشتر ما اکسل رو فقط برای جدول کشیدن و جمع زدن بلدیم؛ در حالی که با یاد گرفتن چند تکنیک ساده می‌تونی: ✅ کارهای تکراری چندساعته رو چند دقیقه‌ای تموم کنی ✅ از یه لیست شلوغ و به‌هم‌ریخته، گزارش مرتب و قابل‌فهم بسازی ✅ با چند کلیک نمودار و داشبورد حرفه‌ای تحویل مدیرت بدی ✅ مهارتی رو به رزومه‌ت اضافه کنی که تقریباً همه‌ی آگهی‌های استخدام اداری، مالی …

14 Oct 2026, 07:27 UTC≈1,800 viewsread 5 November 2026
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🟢وبینار "مهارت‌های تصمیم‌سازی با داده" ◀️در این وبینار با سجاد حیدری یاد می‌گیریم چطور مسائل و فرصت‌های کسب‌وکار را شناسایی کنیم، چه زمانی به ابزارهای AI و ML نیاز داریم، در نبود داده‌های کافی چطور تصمیم بگیریم و چگونه از علم آمار برای تحلیل دقیق‌تر و تصمیم‌گیری مطمئن‌تر استفاده کنیم. ⏺️ثبت‌نام: https://dnkr.ir/y7BV9 https://dnkr.ir/y7BV9 @daneshkargroup

13 Oct 2026, 14:50 UTC≈1,680 viewsread 5 November 2026
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از هوش مصنوعی جوابی که میخوای نمی‌گیری؟ شاید وقتشه سؤال‌هات رو بهتر بپرسی! 💬 پرامپتی که می‌نویسی، روی کیفیت جوابی که می‌گیری تأثیر داره؛ چه برای تولید محتوا، چه ایده‌پردازی و کارهای روزمره. در دوره رایگان «هنر پرامپت‌نویسی» دانشکار، یاد بگیر چطور خواسته‌ات رو دقیق‌تر بیان کنی و از هوش مصنوعی جواب بهتری بگیری. 🎁 رایگان ⏱️ ۱ ساعت و ۳۰ دقیقه بهتر بپرس، بهتر جواب بگیر 👇 لینک دوره @daneshkargroup

11 Oct 2026, 07:52 UTC≈3,130 viewsread 5 November 2026
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◀️وقتی ابزارهای هوش مصنوعی می‌توانند بخش بیشتری از کارهای اجرایی ما را انجام دهند، ارزش متخصص ارتباطات و مارکتینگ در چه چیزی خواهد بود؟ 🟢در وبینار ارتباطات در عصر AI به این موضوع می‌پردازیم ثبت‌نام: https://dnkr.ir/6z5j5 https://dnkr.ir/6z5j5 @daneshkargroup

Showing the 12 most recent of 42 posts we hold for @daneshkargroup. 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

@daneshkargroup edited 2 posts 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
16 August 2026
Most recent edit
1 September 2026

Posts recorded as deleted after publishing

We recorded 5 posts on @daneshkargroup 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
15 August 2026
Most recent seen missing
24 August 2026
Median time before seen missing
13 days
Seen missing in the last 30 days
0

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

20 Jul 2026, 12:43 UTCAnonymous Poll72 voters

چرا باید برای تهیه دوره و آموزش هزینه کنیم؟ همه‌چیز که رایگانش توی یوتوب هست!

  1. دوره پشتیبانی و منتورینگ داره46%
  2. منابع رایگان کافی نیستن26%
  3. محتوای یوتیوب برای شرایط کاری ایران ممکنه نباشه15%
  4. به‌نظرم اصلا دوره نیازی نیست.26%

The shares total 113%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 42 most recent posts we hold, published 13 July 2026 to 3 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 16 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.

جاب‌ویژن | Jobvision | استخدام | کاریابی
@jobvision · 59,206
Telegram ranks this channel #8 of 98 here — alongside 97 others — read 22 August 2026
🇮🇷 سامانه استخدام جو
@irankaryab · 23,037
Telegram ranks this channel #10 of 77 here — alongside 76 others — read 18 September 2026
آگهی🥇استخدام🎗کاریابی دندانپزشکی پزشکی
@estekhdami_com · 22,742
Telegram ranks this channel #10 of 67 here — alongside 66 others — read 18 September 2026
آگهی استخدام تهران
@estekhdam_tehran · 33,557
Telegram ranks this channel #17 of 81 here — alongside 80 others — read 4 September 2026
سامانه کاریابی دانشگاه های تهران
@job_ut · 27,096
Telegram ranks this channel #23 of 87 here — alongside 86 others — read 14 September 2026
شبکه شاغلین مؤمن🇮🇷
@shaghelin · 65,642
Telegram ranks this channel #23 of 94 here — alongside 93 others — read 21 August 2026
تبریز استخدام
@tbz_estekhdam · 24,776
Telegram ranks this channel #26 of 60 here — alongside 59 others — read 15 September 2026
قیمت دلار
@FeeUSD · 109,775
Telegram ranks this channel #26 of 73 here — alongside 72 others — read 21 August 2026
استخدام های استان تهران
@eestekhdam_tehran · 65,209
Telegram ranks this channel #34 of 88 here — alongside 87 others — read 21 August 2026
استخدام مهندسی
@job_engineering · 50,160
Telegram ranks this channel #35 of 83 here — alongside 82 others — read 25 August 2026
🎓 صدای دانشگاه 🎓
@sedaye_daneshgaah · 19,892
Telegram ranks this channel #43 of 90 here — alongside 89 others — read 28 September 2026
Civil & Architecture
@civil_arch · 73,601
Telegram ranks this channel #43 of 78 here — alongside 77 others — read 21 August 2026
پادکست انگلیسیMP3+PDF
@voa_learning_english · 74,373
Telegram ranks this channel #44 of 86 here — alongside 85 others — read 21 August 2026
دانلود رایگان کتاب، جزوه و نمونه سوالات دانشگاه 📚 @Pnu100
@pnu100 · 106,185
Telegram ranks this channel #50 of 92 here — alongside 91 others — read 22 August 2026
آموزش انگلیسی به روش زبان مادری
@hamidrezasotoudeh98 · 74,788
Telegram ranks this channel #76 of 89 here — alongside 88 others — read 20 August 2026
اقتصاد و قانون در آنتاریو
@ontario_360 · 21,771
Telegram ranks this channel #77 of 80 here — alongside 79 others — read 21 September 2026
گروه مهندسی 2800
@Eng2800 · 62,242
Telegram ranks this channel #79 of 83 here — alongside 82 others — read 22 August 2026

This channel appears in 17 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“دانشکار | آموزش برنامه‌نویسی و هوش‌مصنوعی” (@daneshkargroup), 17,330 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/daneshkargroup.

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.