Hacking & security — 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 76% 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.
Growth
35 measurements spanning 58 days, net +338. 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 29,526–29,966 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
4 Oct 2026, 07:57
29,915
+54
25 Sept 2026, 19:41
29,861
+54
17 Sept 2026, 09:19
29,807
+42
15 Sept 2026, 06:41
29,765
+26
13 Sept 2026, 15:42
29,739
+30
11 Sept 2026, 21:57
29,709
+27
9 Sept 2026, 09:42
29,682
-25
5 Sept 2026, 23:00
29,707
+3
3 Sept 2026, 18:00
29,704
+13
2 Sept 2026, 07:23
29,691
+2
1 Sept 2026, 09:36
29,689
+14
31 Aug 2026, 09:37
29,675
+17
30 Aug 2026, 12:04
29,658
+11
29 Aug 2026, 09:53
29,647
+4
28 Aug 2026, 13:17
29,643
+4
27 Aug 2026, 16:17
29,639
+7
26 Aug 2026, 16:43
29,632
+4
25 Aug 2026, 13:28
29,628
+4
24 Aug 2026, 14:14
29,624
+8
22 Aug 2026, 18:24
29,616
first reading
Engagement
12 posts held, back to 24 July 2020 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 92 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 12 posts for this entry, the most recent from 22 July 2023. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
5
Links
2
Lifetime counters from Telegram’s own channel header, read 7 October 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.
Reaction mix
2,108 reactions across 11 posts, in 19 distinct kinds. The most used accounts for 43.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
908
43.1%
❤
488
23.1%
💩
271
12.9%
👎
117
5.55%
🥰
58
2.75%
🔥
54
2.56%
👏
52
2.47%
🤡
37
1.76%
🖕
26
1.23%
🤮
25
1.19%
🤬
19
0.901%
🤔
17
0.806%
🤯
11
0.522%
🎉
6
0.285%
🗿
6
0.285%
😁
5
0.237%
👌
4
0.19%
🌭
2
0.095%
🤣
2
0.095%
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 11 of the 12 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 2,108 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 24 July 2020 to 22 July 2023, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
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✅بدون نیاز به ثبت نام
✅عملکرد و سرعت بالا با استفاده از پروتکل های قدرتمند
✅سازگار با اندروید +5
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#توجه
با سلام به تمامی کاربران گرامی، بخش مزاحم یاب هویج به دیتابیس بزرگی مربوط به خطوط همراه و ثابت متصل گردید و هم اکنون میتوانید اطلاعات جدیدی از شماره های ناشناس کسب کنید 🔥
❗️در صورت عدم کسب نتیجه، پیشنهاد میشود شماره ارسالی خود را همراه با حالات مختلف زیر تست کنید:
0912
98912
912
🥕هویج را به دوستان خود معرفی کنید:
@havij_robot
با استفاده از این اپلیکیشن کاربردی قادر خواهید بود به هویت شماره های ناشناسی که ممکن است در طول روز با آنها مواجه شوید پی ببرید 👌
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بخش مزاحم یاب بروزرسانی شده و هم اکنون قادر خواهید بود خطوط اکثر اپراتور های همراه از جمله:
همراه اول ،رایتل، ایرانسل، تالیا و حتی شماره های ثلفن ثابت استعلام بگیرید🔥
@Havij_robot
🔹دوستانتان را در استفاده از این بات @havij_robot دعوت کنید و منتظر خدمات جدید تیم ما باشید، مطمئنا شگفت زده خواهيد شد
🔹ابتدا بخش سوالات متداول بات را به دقت بخوانید و در صورت بروز هرگونه مشکل به پشتیبانی @havij_support اطلاع بدید.
#توجه 🔔
🔹 یک ربات تلگرامی که قابلیت های ویژه ای در خودش جای داده!
@Havij_robot
🔹 از طریق این ربات میتونید با ارسال یوزرنیم، شناسه کاربری و یا پیغام فورواردی از سوی اکانت مورد نظرتون در تلگرام، شماره اون فرد رو در سریع ترین تایم ممکن به دست بیارید! البته ربات های این چنینی این مدت زیاد دیدیم اما ماجرا به اینجا ختم نمیشه و این ربات یه کلید منحصر به فرد به اسم مزاحم یاب داره که با ارسال شماره شخص مد نظرتون یا مزاحم…
Showing the 12 most recent of 12 posts we hold for @Havij_app. 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.
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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“Havij | هویج” (@Havij_app), 29,915 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/Havij_app.
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.