Channel
@dzarchitects
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,338subscribers
+6 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001165583504 |
|---|---|
| Type | Channel |
| Username | @dzarchitects |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 September 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 2 times, most recently 16 September 2026 |
| On Telegram | t.me/dzarchitects |
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 15 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Sept 2026, 17:18 | 2,338 | +3 |
| 8 Sept 2026, 16:16 | 2,335 | -3 |
| 6 Sept 2026, 12:22 | 2,338 | no change |
| 3 Sept 2026, 16:38 | 2,338 | +1 |
| 31 Aug 2026, 09:54 | 2,337 | -1 |
| 28 Aug 2026, 19:09 | 2,338 | -1 |
| 25 Aug 2026, 14:23 | 2,339 | +1 |
| 22 Aug 2026, 14:08 | 2,338 | -1 |
| 19 Aug 2026, 14:04 | 2,339 | -1 |
| 16 Aug 2026, 21:52 | 2,340 | +3 |
| 13 Aug 2026, 18:07 | 2,337 | +3 |
| 10 Aug 2026, 23:31 | 2,334 | +4 |
| 7 Aug 2026, 19:31 | 2,330 | -2 |
| 7 Aug 2026, 11:20 | 2,332 | first reading |
15 posts held, back to 30 April 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 1 page 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 15 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
9 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 88.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 88.9% | |
| 👍 | 1 | 11.1% |
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 15 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 30 April 2026 to 11 August 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.
🛠 Problem Analysis and Proposed Solutions: • Problem: Complexity of the design and absence of detailed plans after Gaudí's death. • Solution: Utilizing remaining models, drawings, and photographs, along with modern digital technologies (CAD/CAM) to reconstruct and develop Gaudí's vision. • Problem: Slow funding for the project, which relies on donations. • Solution: Transforming the basilica into a global tourist att…
The Sagrada Família basilica in Barcelona, Spain, is more than just an architectural landmark; it is a stone poem to nature, faith, and the genius of Antoni Gaudí. Since Gaudí took over the project in 1883, he transformed it from a traditional Gothic church into a unique architectural vision that transcends the boundaries of its time. This edifice is not yet complete, but it stands as a testament to Gaudí's artistic …
🏛 كنيسة ساغرادا فاميليا: تحفة غاودي الخالدة وحوار مع الطبيعة تُعد كنيسة ساغرادا فاميليا (Sagrada Família) في برشلونة، إسبانيا، أكثر من مجرد معلم معماري؛ إنها قصيدة حجرية للطبيعة، الإيمان، وعبقرية أنطونيو غاودي (Antoni Gaudí). منذ أن تولى غاودي المشروع عام 1883، حوّلها من كنيسة قوطية تقليدية إلى رؤية معمارية فريدة تتجاوز حدود زمانها. لم يكتمل هذا الصرح بعد، لكنه يقف شاهداً على إرث غاودي الفني والإنشائي الذي لا يزال ي…
❤1
🏛 كنيسة ساغرادا فاميليا: تحفة غاودي الخالدة وحوار مع الطبيعة تُعد كنيسة ساغرادا فاميليا في برشلونة تحفة معمارية استثنائية تجسد عبقرية أنطونيو غاودي وتناغم العمارة مع الطبيعة.
يقول ابن خلدون في مقدمته: :- "" الُملك بالجند، والجند بالمال، والمال بالخراج، والخراج بالعمارة، والعمارة بالعدل، والعدل بإصلاح العمّال، وإصلاح العمّال باستقامة الوزراء "" ( نسأل الله ان يرزقنا استقامة الوزراء وصلاح العمّال ، ومدري بعد …. )
💡 RuView | Rust 🎯 Primary Use Case: To provide non-intrusive, camera-free sensing of human presence, activity, and vital signs within an environment by leveraging existing WiFi infrastructure. ✨ Key Features: • Real-time spatial intelligence and sensing through WiFi signals • Contactless vital sign monitoring (breathing and heart rate) • Presence detection and occupancy tracking • Activity recognition (walking, sit…
🚀 material-maker | GDScript 🎯 Primary Use Case: Creating and painting 3D materials using a procedural, node-based workflow. ✨ Key Features: • Procedural texture authoring • 3D model painting • Node-based interface (Godot GraphEdit) • Texture and brush creation through interconnected nodes 📖 Summary: Material Maker is a tool built on the Godot Engine for procedurally generating textures and painting 3D models. It u…
كنيسة ساغرادا فاميليا: تحفة غاودي الخالدة وحوار مع الطبيعة
🌟 AI-Text-Humanizer-App | Python 🎯 Primary Use Case: To convert AI-generated text into human-like, academic writing that can bypass AI detection. ✨ Key Features: • AI-Powered Text Refinement • Expand Contractions • Add Academic Transitions • Passive Voice Conversion (Optional) • Synonym Replacement (Optional) 📖 Summary: This Python application, built with Streamlit, transforms AI-generated or informal text into fo…
❤2
✨ arc-kit | HTML 🎯 Primary Use Case: To provide a structured, AI-assisted workflow for enterprise architects to manage and govern all aspects of their architecture, from strategy to delivery and assurance. ✨ Key Features: • Establishing and enforcing architecture principles • Analyzing stakeholder drivers, goals, and outcomes 📖 Summary: ArcKit is an enterprise architecture governance toolkit that streamlines strat…
🚀 modly | TypeScript 🎯 Primary Use Case: Generating 3D models from images using local AI processing. ✨ Key Features: • AI-powered image-to-3D mesh generation • Runs entirely on local GPU • Open-source desktop application • Supports external AI model extensions • Available for Windows and Linux 📖 Summary: Modly is an open-source desktop application that leverages local AI models running on your GPU to generate 3D m…
🔥 arcada | TypeScript 🎯 Primary Use Case: Creating and visualizing interior floor plans and designs. ✨ Key Features: • Add walls • Edit walls • Add/edit furniture • Add doors/windows • Measure tool 📖 Summary: Arcada is an open-source, web-based interior design and floor plan creation software. It allows users to draw walls, add doors and windows, place furniture, and measure spaces accurately to scale, with suppor…
Showing the 12 most recent of 15 posts we hold for @dzarchitects. 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.
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.
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.
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 12 September 2026 — this entry's latest reading, not the date you are reading this.
“🇵🇸 هندسة معمارية - الجزائر -🇩🇿” (@dzarchitects), 2,338 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/dzarchitects.
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.