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Created
Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Art & design — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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
19 measurements spanning 90 days, net +99. 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 7,115–7,247 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Nov 2026, 22:28
7,229
+5
30 Oct 2026, 09:35
7,224
-3
27 Oct 2026, 10:19
7,227
-2
21 Oct 2026, 17:20
7,229
-3
18 Oct 2026, 13:21
7,232
+5
15 Oct 2026, 19:40
7,227
+13
12 Oct 2026, 15:59
7,214
+23
5 Oct 2026, 16:39
7,191
+7
28 Sept 2026, 10:16
7,184
+24
16 Sept 2026, 03:01
7,160
-8
12 Sept 2026, 17:18
7,168
+12
8 Sept 2026, 16:20
7,156
+6
3 Sept 2026, 18:16
7,150
+2
21 Aug 2026, 00:04
7,148
+3
17 Aug 2026, 19:56
7,145
+5
14 Aug 2026, 18:48
7,140
+9
11 Aug 2026, 01:52
7,131
+1
7 Aug 2026, 12:16
7,130
no change
7 Aug 2026, 12:08
7,130
first reading
Engagement
20 posts held, back to 11 March 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 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 3 November 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
82
Videos
1
Links
27
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. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
76 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 63.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
48
63.2%
👍
26
34.2%
🔥
2
2.63%
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 15 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 76 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 11 March 2025 to 3 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.
🎨 عدنا من جديد!
التصميم الداخلي مش مجرد ديكور جميل،
بل هو طريقة تفكير وشعور داخل المكان 💭
في هذا الأسبوع، نبدأ رحلة مختلفة:
نغوص في أساسيات الوعي التصميمي ونفهم كيف نفكر كمصممين.
شاركنا في مجموعة النقاش 💬
كيف تعرف أن التصميم “ناجح” برأيك؟
#تصميم_داخلي #وعي_بصري
🛋 Interior Design
👨🏻💻 Engineer
🎯 Adjusting Type Properties allows you to modify multiple elements at once.
💡 Use it for doors, windows, and furniture families.
🎯 تعديل خصائص النوع يتيح لك تعديل عناصر متعددة دفعة واحدة.
💡 استخدمه للأبواب، النوافذ، وعائلات الأثاث.
🔖 #RevitTips #BIM #TimeSaving
🎯 Filters help you isolate and visualize specific categories like walls or furniture.
💡 Apply color overrides to check design consistency.
🎯 تساعدك الفلاتر على عزل وعرض فئات معينة مثل الجدران أو الأثاث.
💡 استخدم تغيير الألوان للتحقق من اتساق التصميم.
🔖 #RevitTips #BIM #Visualization
🎯 View Templates let you apply consistent visibility and graphic settings across multiple views.
💡 Create templates for floor plans, sections, and elevations.
🎯 قوالب العرض تتيح لك تطبيق إعدادات متسقة للرؤية والرسومات عبر عدة مشاهد.
💡 أنشئ قوالب للمخططات، القطاعات، والواجهات.
🔖 #RevitTips #BIMWorkflow #Efficiency
🎯 Memorizing Revit shortcuts saves time and increases modeling efficiency.
💡 Start with shortcuts for commonly used tools like Move (MV), Copy (CO), and Align (AL).
🎯 حفظ اختصارات ريفيت يوفر الوقت ويزيد من كفاءة النمذجة.
💡 ابدأ بالاختصارات للأدوات الأكثر استخدامًا مثل نقل، نسخ، ومحاذاة.
🔖 #RevitTips #BIM #Efficiency
🎯 Using ready-made lighting families in Revit helps you quickly evaluate the realism of interior lighting.
💡 Tip: Don’t rely only on default sources; try different families to see their effect on the overall atmosphere
🎯 استخدام العائلات الجاهزة للإضاءة في Revit يساعدك على تقييم واقعية الإضاءة الداخلية بسرعة.
💡 نصيحة: لا تكتفِ بالمصادر الافتراضية، بل جرّب عائلات مختلفة لترى تأثيرها على الجو العام للمساحة.
🔖 #Ligh…
🎉 انضم إلى قناة التصميم الداخلي على واتساب
🚀 نسخة جديدة ومختصرة من المحتوى الهندسي الأهم، تأتيكم الآن عبر واتساب.
💠 خلاصة منتقاة من أفضل قنواتنا المتخصصة.
💠 مصادر تصميم، موديلات، وأفكار حصرية.
💠 محتوى مرئي ومنسق باحتراف، في متناول يدك.
✅ الانضمام متاح للجميع، والمحتوى يتم تنسيقه ليتناسب مع المهندسين، المصممين، والطلاب.✨
Showing the 12 most recent of 20 posts we hold for @Revit_su. 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“🇵🇸Revit | ريفيت” (@Revit_su), 7,229 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/Revit_su.
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.