Technology — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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
24 measurements spanning 88 days, net -33. 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 7,397–7,633 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
3 Nov 2026, 01:26
7,571
+21
31 Oct 2026, 08:09
7,550
+23
28 Oct 2026, 11:42
7,527
+54
25 Oct 2026, 06:27
7,473
+20
22 Oct 2026, 16:56
7,453
+27
19 Oct 2026, 10:19
7,426
+2
16 Oct 2026, 01:41
7,424
-3
12 Oct 2026, 17:35
7,427
+2
5 Oct 2026, 17:17
7,425
-36
28 Sept 2026, 02:17
7,461
-35
18 Sept 2026, 08:38
7,496
-12
13 Sept 2026, 22:36
7,508
-4
10 Sept 2026, 15:36
7,512
-9
5 Sept 2026, 03:00
7,521
-14
1 Sept 2026, 06:27
7,535
-12
29 Aug 2026, 14:26
7,547
-4
26 Aug 2026, 17:26
7,551
+6
23 Aug 2026, 14:56
7,545
-18
19 Aug 2026, 17:24
7,563
-7
16 Aug 2026, 19:46
7,570
first reading
Engagement
48 posts held, back to 1 January 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 19 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.81%
avg views ÷ 7,571 subscribers
Avg views / post
667
1 post measured
Reaction rate
0.9%
reactions ÷ views · ER floor
Posts in window
1
of 48 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 2 November 2026
Posts held
48 (1 January 2026 – 2 November 2026)
Views total
667
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 00:13 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
300
Videos
79
Links
119
Lifetime counters from Telegram’s own channel header, read 4 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
4h 31m
Average length
54m 22s
Measured directly from 5 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
1,325 reactions across 46 posts, in 14 distinct kinds. The most used accounts for 59.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
788
59.5%
👍
257
19.4%
🔥
99
7.47%
😍
69
5.21%
🕊
43
3.25%
👏
25
1.89%
🙏
16
1.21%
😁
8
0.604%
👌
7
0.528%
👎
4
0.302%
👨💻
4
0.302%
💯
3
0.226%
💔
1
0.075%
😢
1
0.075%
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 47 of the 48 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 1,325 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 1 January 2026 to 2 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.
سم آلتمن: مدل بعدی GPT خیلی زود میآید: «این مثال ریاضی را قبلا آوردم و یکی از لحظههای باورنکردنی بود که در تاریخ هوش مصنوعی دیدهام. وقتی اولین مسئلهی جایزهی هزاره را اثبات کردیم، ۱۰٬۰۰۰ ایجنت از مدلی بود که خیلی زود منتشر میشود، که بیوقفه با هم کار میکنند، با یکدیگر هماهنگ میشوند و برای حل مسئله خودشان تصمیم میگیرند»
«مدل آن را فقط در ۴ روز حل کرد، در حالی که سالها حل نشده بود»
- 🚀 با هوش مصنوعی تازه آشن…
سلام دوستای عزیز برندافراز
تو این مدت که درگیر انجام پروژههای متعدد بودیم و کمتر سعادت داشتیم تا در کنارتون باشیم و با هم چیزهای جدید یاد بگیریم، پیامها و سوالهای زیادی ازمون پرسیدید که میخوام جواب همشونو به صورت خلاصه تو این پیام بذارم:
اصلا هنوزم ارزش داره وقت بذاریم برای برنامهنویسی؟
هوش مصنوعی قراره جامون رو بگیره؟
با این وضعیت چطوری تمرکز کنیم و وارد بازار کار بشیم؟
اول از همه خیالتون رو راحت کنم و…
#اطلاعیه
بازگشت وبسایت برندافراز به وضعیت پایدار
همراهان گرامی،
به اطلاع میرساند وبسایت آکادمی برندافراز در ساعات گذشته بهمنظور ارتقای زیرساختهای فنی، بهبود کارایی و پیادهسازی بهروزرسانیهای سیستمی، بهطور موقت از دسترس خارج شده بود.
عملیات توسعه با موفقیت به پایان رسیده و در حال حاضر تمامی بخشهای سایت، دسترسی به پنل کاربری و مشاهده دورههای آموزشی بدون هیچگونه اختلالی در دسترس شماست.
از صبوری و همراهی…
چطور به API رایگان قویترین مدلهای هوش مصنوعی دسترسی داشته باشیم؟
شاید فکر کنی استفاده از مدلهای پیشرفته ابری همیشه نیاز به پرداخت دلاری داره، اما راهی وجود داره که بتونی بدون هزینه به API مدلهایی مثل MiniMax M3 دسترسی پیدا کنی.
با استفاده از Ollama Cloud میتونی بدون درگیر شدن با سختافزار سنگین، این مدلهای پرقدرت رو توی پروژههات استفاده کنی (البته با محدودیت روزانه و هفتگی).
مراحل دریافت و فعالسازی API رای…
آیا کلود Fable 5 بهترین مدل حال حاضر در کدنویسی است؟
شاید تا دیروز جواب این سوال بله بود، اما ورود یک هوش مصنوعی جدید و قدرتمند، معادلهی دنیای هوشمصنوعیهای برنامهنویسی را کاملاً تغییر داده است.
مدل ناشناختهی Ox Alpha که بهتازگی روی پلتفرم OpenRouter منتشر شده و با عملکرد خیرهکنندهاش، غولهایی مثل Claude و GPT را در زدن کدهای پیچیده و بنچمارکهای فکری کنار زده است.
چه ویژگیهایی Ox Alpha دنیای کدنویسی را …
اطلاعیه جهت تشکیل تیمهای سهنفره برای مینی پروژههای هوش مصنوعی و برنامهنویسی.
همانطور که میدانید یادگیری برنامهنویسی به صورت انفرادی و تماشای ویدیو، هیچوقت شما را به یک نیروی آمادهی بازار کار تبدیل نمیکند.در بازار کار واقعی، همهچیز حول «کار تیمی، مدیریت پروژه با Git و حل مسئله مشترک» پیش میرود.
بنابراین تصمیم گرفتیم تمام کاربران علاقهمند که در دورههای هوشمصنوعی،فرانتاند و پایتون شرکت کردهاند را در تیم…
سلام خدمت همراهان عزیز برندافراز. 🌸
پس از توقف کوتاهی که پس از قطعی اینترنت به دلیل حجم زیاد پروژهها داشتیم ،در دو هفته اخیر تمرکزمان روی رویدادها و وبینارهای آنلاین بود، اما رسالت اصلی برندافراز همچنان آموزش عمیق، پروژهمحور و ورود به بازار کار واقعی هوش مصنوعی و برنامهنویسی است.
از امروز، تمرکز کامل کانال روی موارد زیر بازمیگردد:
🔹 شروع دورههای پروژهمحور و ادامه پشتیبانیهای فنی در گروهها
🔹قرار دادن چالش…
📢 دعوت به همکاری | ادمین شبکههای اجتماعی
به یک ادمین حرفهای، خلاق و مسئولیتپذیر جهت تولید محتوا و مدیریت صفحات اینستاگرام و تلگرام نیازمندیم.
وظایف و شرایط احراز:
🔹 تسلط بر مدیریت اینستاگرام و تلگرام و آشنایی با الگوریتمها
🔹 مهارت در تولید، تدوین و انتشار محتوای جذاب
🔹 پاسخگویی دقیق و باحوصله به دایرکتها و پیامها
🔹 منظم، مسئولیتپذیر و متعهد به زمان
🔹 داشتن سابقه کار و نمونهکار مرتبط (مزیت محسوب میشود…
جلسه - سعید معدلی
Friday, 14 August · 9:00 – 10:30pm
Time zone: Asia/Tehran
Google Meet joining info
Video call link: https://meet.google.com/cre-ptii-mmu
از گیلان تا مهندسی نرمافزار در آمازون 🌐
چگونه میتوان مسیر موفقیت را از ایران تا رسیدن به جایگاه مهندسی نرمافزار در غولهای فناوری جهان مانند آمازون و هاباسپات (HubSpot) طی کرد؟
در این رویداد آنلاین، به بررسی چالشها، مهارتهای کلیدی مورد نیاز و نقشه راه توسعه مسیر شغلی و مهاجرت تحصیلی و کاری برای برنامهنویسان و مهندسان نرمافزار خواهیم پرداخت..
با حضور:
سعید معدلی
▪️ کارشناسی ارشد علوم اطلاعات از دانشگاه ای…
لینکدین دکتر فرشادیان پور:
طلای المپیاد شیمی
دکتری دندان پزشکی از دانشگاه گیلان
دانشجوی دانشگاه آکسفورد
https://www.linkedin.com/in/koosha-farshadianpour-560940b3/
❤9🙏4👍3👏3
Showing the 12 most recent of 48 posts we hold for @BrandAfraz. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
ازشون استفاده میکنم و کنترل تمامی کارهای کامپیوترم رو بهشون میسپارم.9%
ازشون استفاده میکنم ولی سعی میکنم دسترسیهاشون رو مدیریت کنم تا امنیت کامپیوترم حفظ بشه .21%
راجبشون شنیدم ولی بلد نیستم چطور ازشون استفاده کنم .42%
راجبشون نمیدونم و حتی اسمشونو نشنیدم .33%
The shares total 105%, 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.
Shares as published. No per-option vote count is published by Telegram, so none is 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 48 most recent posts we hold, published 1 January 2026 to 2 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
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 8 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@BrandAfraz 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@brandafraz_support named in 5 posts, 8 August 2026 – 11 August 2026
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.
English For All (EFA) @Ellipsis50 · 21,139 Telegram ranks this channel #88 of 97 here — alongside 96 others — read 24 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 3 November 2026 — this
entry's latest reading, not the date you are reading this.
“جامعه برنامهنویسی | برندافراز” (@BrandAfraz), 7,571 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/BrandAfraz.
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.