با نهایت کیفیت تمام لحظات رانندگی را ثبت کنید، دوربین ثبت وقایع خودرو یک فرصت بینظیر خریدارانی که برای اولین بار از طریق سایت ما(atispro.ir) وارد درگاه تربپی شده و اعتبارسنجی را تکمیل کنند میتوانند تا 30 میلیون تومان اعتبار دریافت کنند کارشناسان ما آماده راهنمایی و پاسخگویی به شما عزیزان میباشند ارتباط: 09109201002 021-46891006-7 @Dashcam_Atis https://jryn.me/o5Pn1g

Channel
13HACK
@TMsizdah
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
19,996subscribers
+741 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001141551993 |
|---|---|
| Type | Channel |
| Username | @TMsizdah |
| Created | Between 1 June 2017 and 30 September 2020 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/TMsizdah |
Topic
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 08:58 | 19,996 | +2 |
| 5 Nov 2026, 11:49 | 19,994 | -3 |
| 4 Nov 2026, 13:19 | 19,997 | -10 |
| 3 Nov 2026, 10:56 | 20,007 | -8 |
| 2 Nov 2026, 08:54 | 20,015 | -3 |
| 1 Nov 2026, 05:18 | 20,018 | +1,009 |
| 31 Oct 2026, 07:28 | 19,009 | -12 |
| 30 Oct 2026, 03:58 | 19,021 | -9 |
| 29 Oct 2026, 04:49 | 19,030 | -2 |
| 28 Oct 2026, 05:15 | 19,032 | -5 |
| 27 Oct 2026, 08:31 | 19,037 | -11 |
| 26 Oct 2026, 06:11 | 19,048 | -3 |
| 25 Oct 2026, 03:55 | 19,051 | -4 |
| 24 Oct 2026, 06:18 | 19,055 | +7 |
| 23 Oct 2026, 04:00 | 19,048 | -10 |
| 22 Oct 2026, 04:21 | 19,058 | -2 |
| 21 Oct 2026, 00:05 | 19,060 | -6 |
| 19 Oct 2026, 20:56 | 19,066 | -5 |
| 18 Oct 2026, 21:50 | 19,071 | -16 |
| 18 Oct 2026, 00:10 | 19,087 | first reading |
Engagement
48 posts held, back to 7 June 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 66 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 31.3%
- avg views ÷ 19,996 subscribers
- Avg views / post
- 6,270
- 11 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 11
- 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.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 48 (7 June 2026 – 5 November 2026) |
| Views total | 68,930 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 03:13 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
- Video runtime
- 4m 53s
- Average length
- 1m 13s
Measured directly from 4 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 11 posts held from the last 30 days (0%) 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).
شروع برنامه شتابدهی هوش مصنوعی ریزن با همکاری گلرنگ ونچرز 💰 1 میلیارد تومان سرمایه نقدی برای هر تیم منتخب 🏭 اجرای آزمایشی (Pilot) در اکوسیستم واقعی شرکتهای گروه صنعتی گلرنگ 🤝 دسترسی مستقیم به نخستین مشتری و مسیر ورود به بازار 🖥️ فضای کار، تجهیزات، منتورینگ تخصصی و شبکه متخصصان صنعت کانال اطلاع رسانی ریزن: @Reasonaccelerator اطلاعات بیشتر: https://jryn.me/VRXyK8
🟢 تماشا در یوتیوب 👇 https://youtu.be/GhjdcgEebSI
😺 با این ترفندها حرفهایتر از ChatGPT استفاده کن! 📰میدونستی میتونی با چند دستور ساده، سبک و نوع خروجی ChatGPT رو تغییر بدی و سریعتر به نتیجه دلخواهت برسی؟ 🎛از ساخت تصاویر تبلیغاتی و عکاسی حرفهای گرفته تا طراحیهای مینیمال، تصاویر سینمایی، انیمه و اینفوگرافیک؛ کلی قابلیت جذاب وجود داره که شاید هنوز ازشون خبر نداشته باشی! + توی این پست، مجموعهای از دستورهای کاربردی ChatGPT رو جمع کردیم که میتونی برای تولید تص…
🟢 تماشا در یوتیوب 👇 https://youtu.be/GTigB3r5qzM
- قربان اعتراض میکنن پول ریجستری زیاده + یه مدت کلا ممنوعش کنید، بعد چند هفته با قیمت بالاتر بازش کنید، همه خوشحال میشن - قربان شما نابغهاید 📣 @tmsizdah
نقشه راه کامل تدوین خودکار ویدیو با کلاد 📣 @tmsizdah
🟢 تماشا در یوتیوب 👇 https://youtu.be/OmOZSAJt_jk
📱با هوش مصنوعی گوگل، اپ اندرویدی خودت رو بساز! گوگل قابلیت جدیدی به Google AI Studio اضافه کرده که باهاش میتونی فقط با توضیح ایدهات، اپ اندرویدی اختصاصی خودت رو بسازی و روی گوشیت اجرا کنی؛ حتی اگه برنامهنویسی بلد نباشی! چطوری؟ 1️⃣ وارد Google AI Studio شو و بخش ساخت اپ اندرویدی رو باز کن. 2️⃣ توضیح بده چه اپی میخوای و چه قابلیتهایی باید داشته باشه. حتی میتونی تصویر و فایل هم بهش بدی. 3️⃣ اپ رو بررسی کن و با در…
یک سایت کاربردی برای تمرین عملی DevOps! با Prepare.sh میتونی مستقیماً داخل مرورگر و بدون نیاز به نصب ابزارها روی سیستم خودت، با محیطهای واقعی لینوکس، Kubernetes، Docker، AWS و بیش از ۶۰ ابزار و فناوری دیگه کار کنی. این سایت علاوه بر آزمایشگاههای تعاملی، آموزشهای عملی، مسیرهای یادگیری و سؤالات مصاحبههای فنی رو هم همراه با راهحل و توضیحات در اختیارت میذاره. 🔗 ورود به سایت: https://dev.prepare.sh نکته: دسترسی ر…
رقابت برای جذب کاربران هوش مصنوعی دیگه داره جدی میشه. 👀 📣 @tmsizdah
آپدیت ۲۶H۲ ویندوز ۱۱ با امکانات هوش مصنوعی منتشر شد 🔹نسخه جدید ویندوز ۱۱ با یک بسته فعالساز کمحجم عرضه میشود و نیازی به دریافت بهروزرسانیهای سنگین ندارد. نصب این آپدیت زمان پشتیبانی دستگاهها را براساس نسخه سیستمعامل، ۲۴ تا ۳۶ ماه افزایش میدهد. 🔹در این نسخه، قابلیتهای هوش مصنوعی برای ویرایش تصاویر و خلاصهسازی فایلها به بخش File Explorer اضافه شده است. همچنین نوار تسکبار امکان جابهجایی به چهار جهت صفحه و …
Showing the 12 most recent of 48 posts we hold for @TMsizdah. 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 5 posts on @TMsizdah 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
- 7 August 2026
- Most recent seen missing
- 31 August 2026
- Median time before seen missing
- 3 days
- Seen missing in the last 30 days
- 0
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.
@Aerospace_ParsPajouhaan · 5,5531 postمعماری پارس پژوهان
@architecture_parspajouhaan · 2,4271 postمهندسی پزشکی پارس پژوهان
@bioparspajouhaan · 7,6091 postمهندسی مکانیک پارس پژوهان
@CAECAMCAD · 18,8061 postمهندسی عمران پارس پژوهان
@CIVILPARSPAJOUHAAN · 6,2721 postدوربین ثبت وقایع خودرو (دَشکَم)
@Dashcam_Atis · 791 postنفت و گاز، تاسیسات و انرژی پارس پژوهان
@Installations_Energy · 5,8341 postمهندسی مواد پارس پژوهان
@materials_parspajouhaan · 6,8151 postمدیریاری
@modiryarii · 4,2511 postمهندسی برق و کامپیوتر پارس پژوهان
@parspajouhaan_cee · 10,8931 postمهندسی شیمی پارس پژوهان
@parspajouhaan_chemistry · 6,4071 postمهندسی صنایع پارس پژوهان
@parspajouhaan_industry · 5,9051 post
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.
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.
@Royal_vpn3 · 4,556#1
@roidbest · 1,621,007#2
@Zeus_Ti · 1,937#3
@tarfandkade_youtube · 38,761#4
@robat_enfejar_raygaan · 1,504#5
@asrnovin_ir · 162,641#6
@tabdealplatform · 556,695#7
@zotpo · 149,142#8
@ITSecurityComputer · 175,858#9
@mozzsskw · 2,922#10
@gamer_prime · 38,805#11
@wbnet · 227,549#12
@amookashani · 121,712#13
@freeairdropland1 · 129,109#14
@TechHackNews · 62,537#15
@bet_farsi2 · 4,185#16
@iaghapour · 51,171#17
@ircfspace · 96,909#18
@alihasanivip · 414,136#19
@comhorn · 808#20
@DAILYDIGITALSKILLS · 9,499#21
@asanfillter · 14,785#22
@zhicroid · 13,455#23
@ARZ_PROXY · 1,450,199#24
@hoseini · 432,040#25
@rafolinetv · 2,851#26
@vip_luck · 6,848#27
@crypto_amookashani · 93,935#28
@foot_90_90 · 311#29
@akh_mam · 179,310#30
@agentfutbet · 1,887#31
@AzadNet · 248,305#32
Read from Telegram’s recommendation API, most recently 3 October 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.
@GIFSUBs · 20,157
Telegram ranks this channel #16 of 61 here — alongside 60 others — read 27 September 2026
@Precesion_Signals · 38,878
Telegram ranks this channel #53 of 66 here — alongside 65 others — read 16 September 2026
This channel appears in 2 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“13HACK” (@TMsizdah), 19,996 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/TMsizdah.
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.