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 10 August 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 why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. They sit inside a group of 464 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 2 of the 7 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 2 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 464, the earliest publisher we hold is @akharinkhabar. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 463 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
413 more channels are in this same group but not listed individually here.
Growth
49 measurements spanning 81 days, net -1,022. 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 21,292–22,731 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)
Subscribers
Change
27 Oct 2026, 04:07
21,458
-2
26 Oct 2026, 04:58
21,460
-7
25 Oct 2026, 05:27
21,467
-24
24 Oct 2026, 05:07
21,491
-20
23 Oct 2026, 01:38
21,511
-10
22 Oct 2026, 04:10
21,521
-25
20 Oct 2026, 22:01
21,546
-20
19 Oct 2026, 18:19
21,566
-7
18 Oct 2026, 19:40
21,573
-20
17 Oct 2026, 17:38
21,593
-5
16 Oct 2026, 18:26
21,598
-13
15 Oct 2026, 20:16
21,611
-23
14 Oct 2026, 18:48
21,634
-11
13 Oct 2026, 08:29
21,645
-67
9 Oct 2026, 06:58
21,712
-89
4 Oct 2026, 21:15
21,801
-132
27 Sept 2026, 12:18
21,933
-193
17 Sept 2026, 15:22
22,126
-42
15 Sept 2026, 10:37
22,168
-34
13 Sept 2026, 22:40
22,202
first reading
Engagement
196 posts held, back to 2 August 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 69 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.39%
avg views ÷ 21,458 subscribers
Avg views / post
942
64 posts measured
Reaction rate
1.89%
reactions ÷ views · ER floor
Posts in window
64
of 196 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 12 October 2026
Posts held
196 (2 August 2026 – 12 October 2026)
Views total
60,309
Reactions total
1,142
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Oct 2026, 10:57 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
3,515 reactions across 196 posts, in 19 distinct kinds. The most used accounts for 37.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,307
37.2%
🤣
729
20.7%
💔
439
12.5%
👍
336
9.56%
👎
166
4.72%
🔥
133
3.78%
😭
108
3.07%
😁
80
2.28%
😐
69
1.96%
🤬
52
1.48%
🤮
30
0.853%
❤🔥
25
0.711%
😱
15
0.427%
💯
6
0.171%
🕊
6
0.171%
😍
5
0.142%
😢
5
0.142%
🤯
3
0.085%
👏
1
0.028%
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 196 of the 196 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 3,515 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 196 most recent posts we hold, published 2 August 2026 to 12 October 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.
🟢آیا با مدل GPT-6 Astra واقعاً به عصر هوش جامع مصنوعی وارد شدیم؟
▫️ اوپنایآی مدعی است مدل GPT-6 Astra بشر را به آستانه هوش جامع مصنوعی (AGI) رسانده است؛ بااینحال، اختلاف در نتایج آزمونها، استفاده از روشهای اختصاصی برای ارزیابی مدل و عملکرد نهچندان بهتر آن در برخی سنجشهای مستقل، تردیدهایی درباره میزان پیشرفت واقعی این مدل ایجاد کرده است.
▫️ درحالیکه این مدل در برخی آزمونها امتیازهای بیسابقهای به دست آورده…
💻مایکروسافت و 🎮انویدیا از Surface Laptop Ultra رونمایی کردن!
📰لپتاپی قدرتمند که برای اجرای مدلهای بزرگ هوش مصنوعی روی خود دستگاه طراحی شده و توی بالاترین نسخه، 128 گیگابایت حافظه داره.
📰این دستگاه با استفاده از معماری Blackwell و حافظه مشترک بین پردازنده و پردازنده گرافیکی، طبق ادعای شرکتها، میتونه مدلهایی با حداکثر 120 میلیارد پارامتر رو بهصورت محلی اجرا کنه؛ یعنی بدون نیاز دائمی به سرویسهای ابری!
+از طرف …
وقتی وسط چت کردن با ChatGPT از کلماتی مثل لطفاً، خیلی ممنون و متشکرم استفاده میکنی که اگه یه روزی رباتا قیام کردن به تو کاری نداشته باشن :
🆔️ @ghachtech
🔴اگه تلگرام دسکتاپ داری، حتماً آپدیتش کن!
🔴 یه گزارش امنیتی درباره آسیبپذیری تلگرام دسکتاپ منتشر شده که طبق ادعای پژوهشگر، میتونه با کلیک روی یه لینک مخرب، راه رو برای سرقت سشن و دسترسی به حساب کاربری باز کنه.
🔴 گفته شده این مشکل در نسخههای قدیمیتر از 7.2.9 وجود داشته و در نسخه 7.2.9 برطرف شده؛ نسخهای که در ۱۶ سپتامبر ۲۰۲۶ منتشر شده.
▪️ تلگرام دسکتاپ رو به آخرین نسخه بهروزرسانی کنید.
▪️ روی لینکهای ناشناس و…
🍏از رویداد معرفی محصولات خانه هوشمند اپل چه انتظاراتی داریم؟
▪️ رویداد آینده اپل روی نوسازی اکوسیستم خانه هوشمند و ارتقای هوش مصنوعی سیری متمرکز خواهد بود. مهمترین محصول مورد انتظار، نمایشگر هوشمند HomePad است که با صفحه ۶ اینچی مربعی، سیستمعامل جدید homeOS و قابلیت شخصیسازی متناسب با چهره کاربر، هاب اصلی خانه هوشمند این شرکت خواهد شد.
▪️ همچنین انتظار میرود اپل تیوی 4K با تراشه قدرتمند A19 و هومپاد مینی با ر…
💢تهدیدی برای ادوبی؛ جایگزین متنباز مجموعه Creative Cloud با هوش مصنوعی ساخته شد
🔹 یک تیم چهارنفره از توسعهدهندگان با مهندسی معکوس ابزارهای ادوبی از طریق هوش مصنوعی، بسته نرمافزاری رایگان و متنبازی با نام ArtCraft را معرفی کردند. این مجموعه برنامههایی برای جایگزینی فتوشاپ و لایتروم در نظر گرفته، و استفاده از آنها بدون نیاز به پرداخت اشتراک یا اتصال به سرورهای ابری ممکن است.
🔹 توسعه این نرمافزارها با کمک مدل ه…
🗂️ همه چی در مورد Foldrico ؛ شخصیسازی فولدرهای ویندوز مثل یه حرفهای!
❔ اگه از ظاهر زرد و تکراری فولدرهای ویندوزت خسته شدی و دوست داری به دسکتاپت رنگ و لعاب بدی، برنامه Foldrico بهترین گزینهست!
❕ نرمافزار Foldrico یه برنامه سبک و کاربردی برای ویندوزه که بهت این امکان رو میده که آیکون فولدرها رو هرجوری که دوست داری شخصیسازی کنی.
❕یعنی میتونی آیکونهای آمادهی خودش رو استفاده کنی یا حتی از فایلهای آیکون (ICL) …
🔋 توهم وقتی باتری گوشیت کم میشه، استرس میگیری...؟
▪️یه نظرسنجی جالب نشون داده خیلی از مردم وقتی باتری گوشیشون به حدود ۳۸٪ میرسه، دچار استرس میشن!
▪️جالبه بدونی نسل Z و هزارهایها از وقتی باتری به ۴۳٪ برسه، نگران میشن؛ اما نسلهای قدیمیتر مثل Baby Boomers تازه از ۳۴٪ به بعد استرس میگیرن.
+ تو چطور؟! با کم شدن باتریت استرس میگیری یا نه 👍 OR 👎
🆔️ @ghachtech
🎂امروز 10 اکتبر، سالروز تولد پاول دورف، بنیانگذار تلگرامه!!!
کسی که با ایدههاش تونست جایگاه ویژهای توی دنیای تکنولوژی پیدا کنه ، از ساخت یک پیامرسان تا شکلدادن به یکی از بزرگترین پلتفرمهای ارتباطی جهان، مسیر دورف نشون داده که گاهی یک ایده میتونه فراتر از انتظارها پیش بره.
• برای خیلیها، تلگرام فقط یک اپلیکیشن نیست؛ بخشی از زندگی دیجیتال روزمرهست و دورف یکی از چهرههای اصلی پشت این مسیره.
❤️ ممنون از پاول …
💻 یه ترفند ویندوزی یادتون بدم عمرا اگه میدونستید!
📰همه شما وقتی میخواید پسورد سیستمتون رو بزنید احتمالاً از پین یا نهایتاً اثر انگشت استفاده میکنید ... اما من فقط با سه کلیک روی قسمتی از صفحه قفل ویندوزم رو باز میکنم ، میخوای بدونی چجوری؟!
1️⃣برید توی تنظیمات ویندوز ، بخش Account و گزینه Sign in Option رو انتخاب میکنید.
2️⃣اگه گزینه اول یعنی Additional Settings روشنه ، اونو خاموشش کنید و بعد تنظیمات رو ببندید و دو…
🔴اگه این پرامپتو برای GPT بفرستی در نقش یک مادر تورو با بچهی مردم مقایسه میکنه.
Based on what you actually know about me from our chats, roleplay an Iranian mom comparing me to “other people’s kids.”
Rules:
- Ground every roast in a specific, real detail from our chats: my work, habits, questions, or things I said I would do but didn’t. Don’t invent facts or assume I failed to follow through without evidence. Avoi…
🤣4
Showing the 12 most recent of 196 posts we hold for @ghachtech. 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
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
Names
Channels on the register whose handles appear in this channel's posts.
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
@ghachtech 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.
@vnz_permiumvpn named in 2 posts, 13 August 2026 – 13 August 2026 · confirmed gone 15 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 21 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.
HoseinAres @hoseinares · 99,891 Telegram ranks this channel #42 of 49 here — alongside 48 others — read 29 September 2026
Amir Mokhtari TV @AmirMokhtariTV · 19,975 Telegram ranks this channel #42 of 56 here — alongside 55 others — read 29 September 2026
Knight | شوالیه 🗡 @irknight95 · 19,563 Telegram ranks this channel #45 of 53 here — alongside 52 others — read 27 September 2026
Perfect bazi @perfectbazi · 91,891 Telegram ranks this channel #71 of 73 here — alongside 72 others — read 20 August 2026
This channel appears in 4 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 27 October 2026 — this
entry's latest reading, not the date you are reading this.
“GhachTech | قاچ تِک” (@ghachtech), 21,458 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/ghachtech.
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.