Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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
61 measurements spanning 92 days, net -454. 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 28,463–29,062 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
6 Nov 2026, 10:07
28,539
+4
5 Nov 2026, 12:26
28,535
-1
4 Nov 2026, 13:15
28,536
+4
3 Nov 2026, 16:39
28,532
-7
2 Nov 2026, 20:09
28,539
-11
31 Oct 2026, 20:06
28,550
-4
30 Oct 2026, 22:17
28,554
-5
29 Oct 2026, 21:09
28,559
-1
29 Oct 2026, 00:09
28,560
-7
27 Oct 2026, 21:05
28,567
-6
26 Oct 2026, 23:18
28,573
-8
25 Oct 2026, 23:37
28,581
+2
24 Oct 2026, 22:26
28,579
-8
23 Oct 2026, 21:11
28,587
-2
22 Oct 2026, 23:31
28,589
-6
21 Oct 2026, 20:21
28,595
+9
20 Oct 2026, 13:36
28,586
-7
19 Oct 2026, 10:05
28,593
-2
18 Oct 2026, 13:28
28,595
-6
17 Oct 2026, 12:35
28,601
first reading
Engagement
96 posts held, back to 21 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 158 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.74%
avg views ÷ 28,539 subscribers
Avg views / post
2,500
30 posts measured
Reaction rate
0.524%
reactions ÷ views · ER floor
Posts in window
30
of 96 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 5 November 2026
Posts held
96 (21 July 2026 – 5 November 2026)
Views total
74,850
Reactions total
392
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 14:36 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
≈3,800
Videos
≈384
Links
≈1,340
Lifetime counters from Telegram’s own channel header, read 6 November 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
1m 30s
Average length
18s
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
1,638 reactions across 95 posts, in 14 distinct kinds. The most used accounts for 31.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
511
31.2%
❤
499
30.5%
👎
134
8.18%
🔥
132
8.06%
😁
102
6.23%
🤣
98
5.98%
💔
77
4.70%
🍌
26
1.59%
🆒
25
1.53%
🗿
15
0.916%
🤔
10
0.611%
🙈
4
0.244%
🤷♂
3
0.183%
🙊
2
0.122%
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 96 of the 96 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 1,709 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 96 most recent posts we hold, published 21 July 2026 to 5 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: 1 of 30 posts held from the last 30 days (3.33%) 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).
✔️ حتی صدای هواپیما در پسزمینه ویدئوتان میتواند موقعیت شما را لو بدهد!
یک پژوهشگر امنیتی نشان داده که گاهی فقط با بررسی صدای پسزمینه یک ویدئو میتوان محل ضبط آن را با دقت حدود ۱۰۰ متر پیدا کرد!
وقتی هواپیما به شما نزدیک میشود و سپس دور میشود، فرکانس صدای آن تغییر میکند؛ پدیدهای که به آن «اثر داپلر» میگویند.
پژوهشگر این تغییرات صوتی را استخراج کرده و با اطلاعات عمومی مسیر، سرعت و ارتفاع هواپیماها مقایسه کرد…
✔️ هک ۶.۳ میلیارد دلاری بایننس از کجا شروع شد؟ از یک دانلود آلوده!
بایننس بالاخره جزئیات یکی از بزرگترین سرقتهای تاریخ رمزارز را منتشر کرد؛ حملهای که هکرها ماهها برای اجرای آن برنامهریزی کرده بودند.
🔹 ژوئن: یک مهندس برای نصب ابزار کدنویسی AI، نسخه آلوده Homebrew را از نتایج جستوجو دانلود کرد.
🔹 سپتامبر: مهندس دیگری فریب یک پیشنهاد شغلی جعلی را خورد و پروژه کدنویسی آلودهای را روی سیستم کاری اجرا کرد.
🔹 اکتب…
✔️ دیپسیک Super-Agent را منتشر کرد؛ ایجنتی که خودش دنبال کار میگردد!
دیپسیک از یک ایجنت کدنویسی جدید رونمایی کرده که قرار است رقابت با Claude Code و Codex را جدیتر کند.
این ایجنت میتواند مخزن GitHub و پیامهای تیم توسعه را زیر نظر بگیرد و حتی بدون درخواست مستقیم، کارهای قابلانجام را شناسایی کند.
🔹 وظایف را بین Workerهای مستقل تقسیم میکند تا چند کار بهصورت همزمان پیش بروند.
🔹 میتواند باگها را بررسی کند،…
✔️ احراز هویت اجباری از Fragment حذف شد!
خبر خوب برای کاربران تلگرام!
وبسایت Fragment از امروز دیگر برای خرید استارز و اشتراک پریمیوم، احراز هویت اجباری (KYC) درخواست نمیکند.
قبلاً برای خرید از Fragment باید مراحل احراز هویت را با مدارک شناسایی، شماره تلفن و تصویر چهره انجام میدادید.
اما حالا بخش احراز هویت از سایت حذف شده و کاربران میتوانند بدون ارسال پاسپورت یا مدارک هویتی، استارز و پریمیوم خریداری کنند.
ا…
✔️ رئیس OpenAI: اختصاص رم به پیسیهای خانگی هدررفت منابع است
سم آلتمن، مدیرعامل OpenAI، اختصاص رم به کامپیوترهای شخصی را در مقایسه با دیتاسنترها، هدررفت منابع محدود جهانی دانست و تاکید کرد که تمرکز این سختافزارها در زیرساختهای ابری کارایی بسیار بالاتری ایجاد میکند.
او با اشاره به محدودیتهای زنجیره تامین DRAM در سراسر جهان، بهرهوری پایین رم در سیستمهای خانگی را یک تصمیم بد قلمداد کرد. این اظهارات نگرانیها در…
✔️ آنتروپیک کپیکردن بازیهای ویدیویی با Claude Code را محدود کرد!
آنتروپیک بیسروصدا قوانین جدیدی به Claude Code اضافه کرده که اجازه نمیدهد کاربران بازیهای معروف را با کمک هوش مصنوعی عیناً بازسازی کنند؛ حتی اگر اسم بازی را عوض کنند!
مدل Opus 5.5 حالا دستور دارد از بازسازی بازیهای موجود که متعلق به دیگران هستند خودداری کند.
البته ساخت بازیهای جدید، الهامگرفتن از سبک بازیها و کار روی پروژههای شخصی همچنان مج…
✔️ مراقب لینکهایی که از توییتر کپی میکنید باشید! 🔴
شاید ندانید، اما وقتی لینک یک پست را از توییتر (X) کپی میکنید، ممکن است اطلاعات اضافهای همراه آن ارسال شود!
مثلاً عدد بعد از s= نشان میدهد لینک از چه طریقی کپی شده:
🔹 s=19 از اندروید
🔹 s=20 از مرورگر
🔹 s=46 از آیفون
اما ماجرا فقط همین نیست!
پارامترهای دیگری مثل t= و a= هم ممکن است به ردیابی لینک و ارتباط آن با منبع اشتراکگذاری کمک کنند.
⚠️ اگر حساب ناشناس دارید…
✔️ ردپای هکرهای کره شمالی در سرقت ۶.۳ میلیارد دلاری بایننس!
شرکت امنیت بلاکچین TRM Labs اعلام کرده با اطمینان بالا، گروه هکری TraderTraitor وابسته به کره شمالی را عامل حمله تاریخی به صرافی Binance میداند.
مهاجمان در ۲۹ اکتبر، حدود ۶.۳۶ میلیارد دلار رمزارز را از کیف پولهای بایننس در ۱۰ شبکه بلاکچین خارج کردند؛ بخش عمده این عملیات فقط ۲۰ دقیقه طول کشید!
🔹 در شبکه اتریوم، مهاجمان با سوءاستفاده از EIP-7702 و امضاه…
✔️ احتمال بزرگترین هک تاریخ ارزهای دیجیتال!
صرافی بایننس با یک حادثه امنیتی بزرگ روبهرو شده و انتقال مشکوک میلیاردها دلار رمزارز از کیفپولهای آن، بازار کریپتو را شوکه کرده است.
بررسیهای درونزنجیرهای از جابهجایی مشکوک داراییهایی به ارزش احتمالی بیش از ۵ میلیارد دلار خبر میدهند؛ اما مبلغ دقیق سرقت هنوز مشخص نیست.
🔹 تتر حدود ۱.۵۷ میلیارد دلار USDT را مسدود کرده است.
🔹 شرکت Circle نیز بیش از ۸۰۰ میلیون دلار…
✔️ با Ponytail کاری کنید ایجنتهای هوش مصنوعی کمتر کد بنویسند!
اگر از Claude Code، Codex، Cursor یا سایر ایجنتهای برنامهنویسی استفاده میکنید، Ponytail ارزش امتحانکردن دارد.
یک ابزار متنباز که به ایجنت شما یاد میدهد مثل یک برنامهنویس باتجربه فکر کند؛ قبل از نوشتن کد جدید، بررسی کند آیا راهحل سادهتری وجود دارد یا نه.
مثلاً بهجای ساخت یک کامپوننت پیچیده از صفر، از امکانات آماده مرورگر یا کتابخانههای موجود …
✔️ مایکروسافت به ۶۰ هزار کارمند پیشنهاد خروج از شرکت داد!
مایکروسافت موج جدیدی از کاهش هزینهها را آغاز کرده و به حدود ۶۰ هزار نفر از کارکنانش پیشنهاد داده در صورت تمایل، با دریافت بسته حمایتی از شرکت جدا شوند.
این تعداد تقریباً ۲۷ درصد کل نیروی انسانی مایکروسافت است!
بخشهایی درگیر:
تیمهای هوش مصنوعی، Copilot، ویندوز، ایکسباکس، مالی و منابع انسانی در این طرح حضور دارند.
کارکنان واجد شرایط در آمریکا، کانادا، ا…
✔️ اوپنایآی GPT-6.1 Terra را منتشر کرد؛ مدلی قدرتمند با نصف قیمت نسل قبل!
مدل جدید OpenAI فقط برای چتکردن نیست؛ میتواند صفحه کامپیوتر را ببیند، با نرمافزارها کار کند و وظایف چندمرحلهای انجام دهد.
از تکمیل فرمها و تهیه گزارش گرفته تا ساخت ارائه، کار با فایلها، تحلیل تصاویر و ویرایش ویدئو با استفاده از ابزارهای نرمافزاری.
پیشرفتهای مهم:
• کاهش نرخ خطاهای اطلاعاتی از ۵۳.۶٪ به ۱۶.۷٪ در یکی از آزمونهای Open…
❤5👍1
Signed YOUSEF
Showing the 12 most recent of 96 posts we hold for @Kaliboys. 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 10 posts on @Kaliboys 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
8 August 2026
Most recent seen missing
2 November 2026
Median time before seen missing
34 hours
Seen missing in the last 30 days
3
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 2 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
@Kaliboys 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.
@agent named in 4 posts, 25 October 2026 – 31 October 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 9 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
آموزش شبكه و امنيت @denait · 21,059 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 24 September 2026
Λ/Organizaτiοn @AOrgan · 50,074 Telegram ranks this channel #1 of 63 here — alongside 62 others — read 24 August 2026
برنامه نویسی | Programming @Azad_Developers · 37,467 Telegram ranks this channel #2 of 88 here — alongside 87 others — read 31 August 2026
Computer Science | علم کامپیوتر @Computer_Science100 · 46,787 Telegram ranks this channel #2 of 74 here — alongside 73 others — read 27 August 2026
تولید محتوا |هوش مصنوعی| زنگ دانش @zangedanesh · 58,890 Telegram ranks this channel #2 of 85 here — alongside 84 others — read 22 August 2026
ترفند آموزش تکنولوژی و فناوری @CEngineer93 · 102,240 Telegram ranks this channel #3 of 71 here — alongside 70 others — read 15 August 2026
خانه موبایل و کامپیوتر @PcAndMob · 23,900 Telegram ranks this channel #4 of 73 here — alongside 72 others — read 15 September 2026
کالی لینوکس | Kali linux | ترفند | کامپیوتر | تکنولوژی @kali_linuxxx · 76,428 Telegram ranks this channel #4 of 60 here — alongside 59 others — read 19 August 2026
مای سکیور | Mysecure @mysecure1 · 29,443 Telegram ranks this channel #5 of 73 here — alongside 72 others — read 7 September 2026
مهندسی کامپیوتر @maghalecomputer · 60,409 Telegram ranks this channel #5 of 85 here — alongside 84 others — read 22 August 2026
Black Security Team @Black_Security · 64,031 Telegram ranks this channel #5 of 64 here — alongside 63 others — read 21 August 2026
آموزش برنامه نویسی و هوشمصنوعی | Max academy @max_academy · 69,749 Telegram ranks this channel #5 of 83 here — alongside 82 others — read 20 August 2026
Computer Help @P30_H3LP · 24,860 Telegram ranks this channel #6 of 76 here — alongside 75 others — read 14 September 2026
‹ NetWork & Security › @DrSecCom · 37,737 Telegram ranks this channel #6 of 50 here — alongside 49 others — read 1 September 2026
کتابخانه انگلیسی من🎧😍 @EnglishAudioLibrary · 42,224 Telegram ranks this channel #6 of 83 here — alongside 82 others — read 30 August 2026
لذت الکترونیک @elecz · 52,566 Telegram ranks this channel #6 of 69 here — alongside 68 others — read 24 August 2026
آموزش کامپیوتر | رفع مشکلات کامپیوتری @tamirpc_com · 22,635 Telegram ranks this channel #7 of 72 here — alongside 71 others — read 19 September 2026
کافه مهندس @cofeeng · 112,528 Telegram ranks this channel #7 of 76 here — alongside 75 others — read 14 August 2026
Computer & IT Engineering @Computer_IT_Engineering · 189,542 Telegram ranks this channel #8 of 76 here — alongside 75 others — read 11 August 2026
جزوه بازان | JozveBazan @jozve_bazan · 24,652 Telegram ranks this channel #9 of 83 here — alongside 82 others — read 15 September 2026
Full Package | فول پکیج @FullPackage · 28,945 Telegram ranks this channel #9 of 53 here — alongside 52 others — read 9 September 2026
آموزش نوین مقاله نویسی با هوش مصنوعی @tephd · 75,828 Telegram ranks this channel #9 of 87 here — alongside 86 others — read 19 August 2026
مرکز آموزش کامپیوتر @AmoozeshWebsite · 96,853 Telegram ranks this channel #10 of 75 here — alongside 74 others — read 16 August 2026
دنیای علم و تکنولوژی @Tech_Sci · 35,753 Telegram ranks this channel #11 of 86 here — alongside 85 others — read 2 September 2026
This channel appears in 98 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“کالی بویز | ترفند | تکنولوژی” (@Kaliboys), 28,539 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/Kaliboys.
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.