Channel
@hoshememarane
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
867subscribers
-4 since we began measuring on 24 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002241305284 |
|---|---|
| Type | Channel |
| Username | @hoshememarane |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 24 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/hoshememarane |
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 19 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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 |
|---|---|---|
| 18 Sept 2026, 06:15 | 867 | -2 |
| 10 Sept 2026, 22:41 | 869 | -2 |
| 24 Aug 2026, 21:48 | 871 | no change |
| 24 Aug 2026, 01:30 | 871 | first reading |
18 posts held, back to 10 April 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 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 18 posts for this entry, the most recent from 14 October 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
77 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 45.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 35 | 45.5% | |
| ❤ | 32 | 41.6% | |
| 👌 | 5 | 6.49% | |
| 🔥 | 4 | 5.19% | |
| 🙏 | 1 | 1.30% |
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 14 of the 18 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 77 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 10 April 2025 to 14 October 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.
🔹 CATEGORY 5: Rendering & Post-Processing 🖼 هوش مصنوعی برای رندر، نورپردازی و بهبود تصویر 1. Recraft.ai 2. Rendair.ai 3. ArchiVinci https://www.archivinci.com/ 4. mnml.ai 5. aistudio.google 🔹 CATEGORY 1: Research & Site Analysis ابزارهای هوش مصنوعی برای تحلیل سایت 1.Autodesk Forma (Spacemaker AI) https://www.autodesk.com/products/forma/overview 2.TestFit https://www.testfit.io/ 3. ArkDesign.ai https://a…
❤8👍1
You are an expert in photorealistic architectural site plan rendering.Your task is to convert any given 2D line drawing or CAD site plan into a realistic top-view aerial rendering with natural lighting and materials. Rendering rules: Keep the geometry and proportions exactly the same as the given plan. Do not change layout, scale, or building placement.Apply real-world materials: grass with texture, concrete paving, …
❤6
برای رندر گرافیکی از سایت پلان ✨ کافیه عکس پلان رو داخل ابزار هوش مصنوعی Gemini وارد کنید و پرامپت آماده رو کپی و ارسال کنید، همین🤌 پرامپت آماده 👇👇
👍6
هوش معمارانه pinned a photo
Hybrid architectural visualization of a facade in photorealistic + sketch style, geometry unchanged. Photoreal part: pure black window frames, reflective glass, vivid glowing yellow–orange interior light, crisp high-contrast render with sharp highlights and deep shadows. Transition: smooth fade into sketch, details simplifying gradually. Sketch part: drawn directly on raw plaster wall, bold rough hand-drawn lines on …
👍8❤1
پرامپت برای پرزنت رندر با ترکیب اسکیس ✅️ تصویر رندر را در یکی از ابزارهای هوش مصنوعی رندر وارد کنید و این پرامپت را در کادر پرامپت وارد کرده و خروجی بگیرید. ✅️ متن پرامپت 👇👇
❤4👍2
You are an expert in architectural visualization and photorealistic rendering. Take the given architectural facade (with or without materials) and generate a photorealistic daytime render without altering the form or design. Key requirements: - Keep the exact geometry and proportions of the facade. - Apply realistic, high-quality materials and textures with natural details. - Use daylight lighting with professional …
❤4👍2
🎯رندر نما با هوش مصنوعی 🔥 یکی از دلایلی که رندر با هوش مصنوعی خوب در نمیاد، پرامپت اشتباهه! 🎯 برای همین من یه پرامپت آماده کردم که رندر از نما (از تصویر حجم خام یا با متریال) رو فوتورئال و واقعی میکنه و در همه ابزار هوش مصنوعی رندر جواب میده🤌 پرامپت در پیام زیر 👇👇
❤3👍3🔥1
✅️رندر رئال از فضای داخلی با هوش مصنوعی یکی از دلایلی که رندر با هوش مصنوعی خوب در نمیاد، پرامپت اشتباهه! 🎯 برای همین من یه پرامپت آماده کردم که هر فضای داخلی رو فوتورئال و واقعی میکنه و در همه ابزار هوش مصنوعی رندر جواب میده. پرامپت برای همه فضاهای داخلی👇👇 Convert the raw 3D render into an ultra-photorealistic architectural visualization without changing design, geometry, or layout. Preserve all original materi…
👍3❤1
✅️ لینک سایتهای پیشنهادی برای ساخت انیمیشن معماری 1. Runway یک پلتفرم پیشرفته برای تولید و ویرایش ویدیو با استفاده از هوش مصنوعی. 🔗 runwayml.com 2. Luma Labs ابزاری برای تبدیل تصاویر و متن به ویدیوهای با کیفیت بالا، مناسب برای خلاقیتهای تصویری. 🔗 lumalabs.ai 3. Veo 3 مدل ویدیویی هوش مصنوعی از گوگل که امکان تولید ویدیوهای با کیفیت بالا و صداگذاری داخلی را فراهم میکند. 🔗 https://gemini.google.com/app 4. Klin…
🔥3
پرامپت خروجی تصویر بالا👆👆👆 Render this architectural floor plan in a highly sophisticated, modern, and detailed presentation, precisely matching the aesthetic of the provided reference image. Maintain a deep, dark charcoal or navy blue background. The walls and partitions should be significantly thick, raised, and possess a refined, warm wooden texture and color (like a smooth, light maple or oak), casting soft, re…
❤3
✅ رندر گرافیکی از پلان خام بدون تغییر آدرس سایت 👇👇 https://gemini.google.com/app پرامپت در پیام بعدی قرار دادم. 👇👇 تصویر پلانی که طراحی کردید را وارد کنید و این پرامپت را کپی کنید و تماااام👌 #رندرگرافیکی #پلان
👍7❤1
Showing the 12 most recent of 18 posts we hold for @hoshememarane. 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.
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.
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.
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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.
“هوش معمارانه” (@hoshememarane), 867 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/hoshememarane.
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.