Ecommerce storefront — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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
11 measurements spanning 43 days, net -5. 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 4,383–4,392 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 08:38
4,385
-3
14 Sept 2026, 05:37
4,388
-3
4 Sept 2026, 22:59
4,391
+1
1 Sept 2026, 15:13
4,390
+1
29 Aug 2026, 15:05
4,389
+1
23 Aug 2026, 03:07
4,388
+1
19 Aug 2026, 08:44
4,387
+2
12 Aug 2026, 09:23
4,385
+1
9 Aug 2026, 09:53
4,384
-6
6 Aug 2026, 04:04
4,390
no change
5 Aug 2026, 20:50
4,390
first reading
Engagement
20 posts held, back to 26 May 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 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 20 posts for this entry, the most recent from 20 November 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
45m 54s
Average length
2m 25s
Measured directly from 19 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
78 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 79.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
62
79.5%
👏
9
11.5%
🔥
4
5.13%
👍
3
3.85%
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 8 of the 20 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 78 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 26 May 2024 to 20 November 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
افتتاح فاز جدید خط تولید کارخانه فراگستر الکترونیک،
ثمره تلاش خستگیناپذیر همکاران و مدیریت توانمند این مجموعه است.
با راهاندازی این فاز، فراگستر اکنون توان تولید ۱۵۰۰ تا ۲۰۰۰ دستگاه دیگر را در کنار ظرفیت فعلی کسب کرده؛ و امروز با افتخار اعلام میکنیم:
در فراگستر،
هیچ سقفی ما را متوقف نمیکند.
هرچه ساختیم، با دستهای خودمان، باورمان و ایستادگیمان بوده و با قدرت، مسیر رشد خود را ادامه میدهیم❤️
این دستاورد، ت…
فراگستر بزرگترین تولیدکننده و واردکننده تجهیزات نظارت تصویری در ایران
از همان روزهای نخست، هدف ما روشن بود:
ارائه محصولاتی که با دانش فنی و فناوریهای روز، سطح بالایی از استانداردهای امنیت و کیفیت را در کشور رقم بزنند 🚀✨
امروزه با درج برند و گارانتی فراگستر روی هر محصول، مشتری با اطمینان کامل انتخاب میکند. این اعتماد شما، سرمایه واقعی ماست و نیروی محرکهای است که هر روز ما را به سوی نوآوری و بهتر شدن هدایت میکند…
در فراگستر، خانواده فقط یک واژه نیست… 💼❤️
سالهاست که کنار هم ایستادهایم، یاد گرفتهایم و آموختهایم تا همیشه پیشتاز بمانیم. 🚀
ما از روزهای نخست، مسیر نوآوری را انتخاب کردیم و بهترینها را به بازار عرضه کردیم. 🌟
در هر گام، با دانش و تجربه، استانداردهای تازهای ساختیم و مسیر رشد را برای دیگران نیز هموار کردیم. 📈✨
برگزاری همایشها و سمینارهای آموزشی، بخشی از رسالتی است که از ابتدا بر دوش ما بوده — رشد، یادگیری و پیشرف…
«هماندیشی خانواده بزرگ فراگستر ۱۴۰۴»
با حضور مدیران ارشد و بیش از ۱۰۰ نماینده فعال از سراسر استان برگزار شد؛ رویدادی برای مرور مسیر، همراستایی اهداف و طراحی چشمانداز مشترک برای آینده.
PT1509AP
.
یک انتخاب ایدهآل برای نظارت حرفهای! این دوربین HDCVI با کیفیت 5 مگاپیکسل، قابلیت Pan & Tilt برای پوشش ۳۶۰ درجه، و 4 LED قدرتمند برای دید در شب شفاف، امنیت را برای شما تضمین میکند.
✔ دارای میکروفون داخلی 🎤
✔ مقاومت بالا با استاندارد IP66 ضد آب و گرد و غبار 🌧️
✔ ۲۵ ماه گارانتی رسمی فراگستر ✅
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#dahua
🚚✨ بار جدید محصولات داهوا به انبارهای فراگستر رسید.
همین حالا می توانید برای خرید و ثبت سفارش، با تمامی نمایندگان معتبر فراگستر الکترونیک در سراسر کشور تماس بگیرید!
.
هماکنون
🔹 کیفیت عالی و نوآوری در محصولات داهوا
🔹 ارسال سریع و مطمئن
🔹 گارانتی 25 ماهه فراگستر
.
برای اطلاعات بیشتر و ثبت سفارش، با ما در ارتباط باشید.
☎️ 021-53862
🔒✨ دزدگیر مکسرون: فراتر از یک دزدگیر معمولی!
با مجموعهای از سنسورهای هوشمند، دیگه نیازی به سیستم جداگانه برای خانه هوشمند ندارید! 🏡💡
خانهتان را با امنیت و هوشمندی یکجا مدیریت کنید. 💪
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#maxron
"پلیس فتا: نصب دوربینهای مدار بسته با قابلیت تشخیص چهره در طلا فروشیها الزامی است! این سیستمها به شما کمک میکنند تا هرگونه فعالیت مشکوک را شناسایی کنید و امنیت فروشگاهتان را به سطح بالاتری ببرید. با قابلیت ثبت و شناسایی چهرهها، شما میتوانید به سرعت به تهدیدات پاسخ دهید و از داراییهای خود حفاظت کنید. در این ویدیو با ویژگیها و مزایای این فناوری پیشرفته بیشتر آشنا شوید!"
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#dahua #maxron #nazer
سری جدید دوربینهای آی پی دو مگاپیکسلی هوشمند آپتینا !
با کیفیت تصویر بینظیر و فناوری پیشرفته، دوربینهای
TITAN 2000 pwsf-saf-if
HELIX 2000 pwlf-saf-if
این دوربین با قیمت رقابتی، حتی با دوربین های ای اچ دی مقایسه است!
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#optina
دام و بولت جدیدمون با طراحی شیک و قابلیتهای فوق العاده
.
2402L
2402C
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#maxron
Showing the 12 most recent of 20 posts we hold for @FARAGOSTARONLINE. 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
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.
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.
ترور آلارم فارسی @TerrorAlarmPersian · 29,969 Telegram ranks this channel #69 of 74 here — alongside 73 others — read 7 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“فراگستر آنلاین” (@FARAGOSTARONLINE), 4,385 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/FARAGOSTARONLINE.
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.