4 measurements spanning 6 days, net +2. 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 1,580–1,582 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 09:17
1,582
+1
10 Aug 2026, 08:43
1,581
+1
7 Aug 2026, 01:56
1,580
no change
7 Aug 2026, 01:17
1,580
first reading
Engagement
19 posts held, back to 18 November 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
48.0%
avg views ÷ 1,582 subscribers
Avg views / post
760
7 posts measured
Reaction rate
3.63%
reactions ÷ views · ER floor
Posts in window
7
of 19 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 August 2026
Posts held
19 (18 November 2025 – 5 August 2026)
Views total
5,320
Reactions total
177
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 18:00 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
4m 07s
Average length
1m 22s
Measured directly from 3 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
423 reactions across 17 posts, in 8 distinct kinds. The most used accounts for 84.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
356
84.2%
😁
23
5.44%
👌
19
4.49%
💯
7
1.65%
👍
6
1.42%
🙏
6
1.42%
👏
5
1.18%
🤝
1
0.236%
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 18 of the 19 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 423reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 18 November 2025 to 5 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.
راندو همیشه تو دوران دانشگاه برای من حس خوبی داشت؛ از اون ساعتهایی که با ماژیک کیوکالر رو اسکیسها کار میکردیم.
تو این پروژه (که ادامه یه پروژه نیمه تمام قدیمیه) سعی کردم مدلهای خام رو به همون حالوهوای راندوهای دوران دانشگاه نزدیک کنم.
این مدل از صفر (From Scratch) آموزش داده شده و این خروجیها حاصل یک هفته آموزش مدل هستن.
هنوز اول راهه و برای رسیدن به نتیجه بهتر، چندین هفته آموزش و بهینهسازی دیگه نیاز داره.
زیبایی ریاضیات
این هندسه صرفا با فرمول های ریاضی ایجاد شده بدون خط بدون نقطه و بدون رنگ که به صورت دستی قرارداده شده باشه. فرمول ریاضی زیر این هندسه رو ایجاد کرده.
آماده شد!
ویدیوی آموزش پایتون آمادهست 👇
🔗 https://youtu.be/9ZmicTpU20c
در این آموزش، مفاهیم مهم و کاربردی پایتون را به سادهترین شکل یاد میگیرید؛ از مباحث پایه مثل متغیرها، عملگرها و رشتهها تا مباحث پیشرفتهتر مثل توابع، Lambda، کلاسها و برنامهنویسی شیگرا.
یادگیری سریع و کاربردی
مناسب برای شروع برنامهنویسی با پایتون
پوشش مفاهیم ضروری برای ساختن پایه قوی در پایتون
با این آموزش میتونی در کوتاهترین زمان،…
یادگیری پایتون قرار نیست ماهها زمان ببره!
دورهی «#پایتون_در _۳ _ساعت» رو آماده کردم و نسخه فارسیش رو به زودی روی کانال یوتیوبم منتشر میکنم.
توی این دوره، تمام مفاهیم پایه و ضروری پایتون رو به سادهترین و کاربردیترین شکل ممکن آموزش دادم تا بدون سردرگمی، یادگیری پایتون رو شروع کنید.
اگر تازه میخواید برنامهنویسی رو یاد بگیرید یا میخواید توی کمترین زمان یک دید کامل از پایتون به دست بیارید، این دوره دقیقاً برای شم…
بالاخره تموم شد!
بعد از چند ماه کار، ضبط و تدوین، دوره Python for Architects رو منتشر کردم و الان روی Udemy در دسترسه.
توی این دوره Python رو از صفر تا سطح پیشرفته یاد میگیرید و همهی مباحث رو مستقیماً داخل Grasshopper و Rhino تمرین میکنیم.
سرفصلهای اصلی دوره:
مبانی Python
کار با لیستها، دیکشنریها و سایر ساختارهای داده
حلقهها، شرطها و توابع
Lambda، Recursion و برنامهنویسی شیءگرا (OOP)
RhinoScriptSyntax
R…
یه سایت جالب هست به اسم AskNature که ایدههای طبیعت رو جمعآوری کرده. توی این سایت میبینید هر گیاه یا حیوان چطور یه مشکل رو حل کرده و بعد توضیح میده که چطور میشه از همون ایده توی مهندسی، طراحی، معماری یا فناوری الهام گرفت. اگه به بیومیمتیک (الهام از طبیعت) علاقه دارید، واقعاً ارزش یه سر زدن داره.
https://asknature.org/
اگر یک پلاگین بتونه فقط در چند ثانیه بهینهسازی کنه خودش نتایج رو تحلیل کنه نمودارهای آماری و تحلیلی تولید کنه و حتی پیشنویس بخشهای Methodology، Findings و Discussion رو آماده کنه، چی؟
چند ماه گذشته روی چنین ابزاری برای Grasshopper کار کردم.
بهزودی.....
مقاله جدیدمون منتشر شد.
توی این مقاله میتونید یکی از کاربردهای ماشین لرنینگ در معماری رو ببینید؛ جایی که با استفاده از Machine Learning و SHAP تأثیر فرم شهری روی آسایش حرارتی فضاهای باز رو پیشبینی و تحلیل کردیم.
اگر علاقهمندید، از طریق لینک زیر میتونید مقاله رو بخونید:
مشاهده مقاله در Springer
به نظر میرسه کمکم از عصر #Prompt_Engineering وارد عصر #Loop_Engineering میشیم.
بهجای نوشتن یک پرامپت طولانی و پیچیده، مدل داخل یک حلقه قرار میگیره:
تولید → ارزیابی → اصلاح → تکرار
در این رویکرد، LLM فقط یک پاسخ نمیده؛ خروجی خودش را بررسی میکنه، بازخورد میگیره و مرحلهبهمرحله اون رو بهبود میده. همین ایده پایه بسیاری از Agentها و سیستمهای هوش مصنوعی جدیده.
بهنظر میرسه آینده بیشتر متعلق به طراحی «فرآیند» اس…
بالاخره ضبط و تدوین دوره پایتون برای معماران تموم شد و بهزودی روی Udemy منتشر میشه.
به نظرم برنامهنویسی دیگه فقط برای توسعهدهندهها نیست؛ برای ما معمارها هم میتونه یه ابزار خیلی کاربردی باشه، از خودکار کردن کارهای تکراری گرفته تا طراحی محاسباتی و حل مسائل پیچیدهتر.
امیدوارم این دوره بتونه نقطه شروع خوبی برای معمارهایی باشه که دوست دارن وارد دنیای کدنویسی بشن.
بهزودی خبر انتشارش رو هم اعلام میکنم.
#پایتون #معما…
❤38
Showing the 12 most recent of 19 posts we hold for @AIArchitecturee. 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.
Citation-graph rank
Citation-graph rank — 155,637 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“AIA” (@AIArchitecturee), 1,582 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/AIArchitecturee.
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.