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 29 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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
8 measurements spanning 66 days, net +22. 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 12–45 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Oct 2026, 12:09
38
-1
1 Oct 2026, 06:38
39
-2
12 Sept 2026, 00:22
41
no change
9 Sept 2026, 16:39
41
+2
30 Aug 2026, 11:34
39
+5
22 Aug 2026, 14:25
34
+8
16 Aug 2026, 02:23
26
+10
7 Aug 2026, 05:43
16
first reading
Engagement
20 posts held, back to 9 August 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 20 posts for this entry, the most recent from 28 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
5m 29s
Average length
5m 29s
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.
Reaction mix
37 reactions across 18 posts, in 4 distinct kinds. The most used accounts for 43.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
16
43.2%
🔥
11
29.7%
❤
9
24.3%
💯
1
2.70%
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 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 37 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 9 August 2026 to 28 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.
📚 کتاب هنر دستیابی - برنارد راث
این کتاب رو مدتی پیش نسخه الکترونیکیش رو تهیه کردم. به نظرم موضوع جالب و مفیدی داشت و تا جایی که خودم خوندم، مطالبش میتونه برای افراد مختلف کاربردی باشه.
چیزی که برای من جالب بود اینه که مطالب کتاب، به نظرم از اغراق و شعارزدگی دور بود و میتونین متناسب با ویژگیها و شرایط خودتون، از راهکارهایی که ارائه میده استفاده کنین.
🖌 توضیح انتشارات آریاناقلم درباره کتاب:
کتاب «هنر دستیابی» …
❓ برای تست اتصال به بروکر MQTT و ارسال و دریافت پیام، از چه ابزارهایی میتونیم استفاده کنیم؟
برای این کار ابزارهای مختلفی وجود دارن که چند مورد کاربردیشون رو اینجا معرفی میکنم:
1️⃣ MQTT Explorer (Windows / macOS / Linux):
یک ابزار رایگان و کاربردی برای اتصال به Broker، مشاهده Topicها و تست Publish و Subscribe.
🌐 وبسایت: mqtt-explorer.com
🔗 GitHub: thomasnordquist/MQTT-Explorer
2️⃣ MQTTX (Windows / macOS / Linu…
🌟 دوستان، برای آمادهسازی زیرساخت نرمافزاری یک آزمایشگاه خانگی (Home Lab)، بعد از بررسی مستندات و منابع مختلف و تجربه عملی، یک داکیومنت جامع آماده کردم و در GitHub قرار دادم.
🟢 در این داکیومنت فقط مراحل نصب و راهاندازی رو نیاوردم؛ چالشهایی که حین پیادهسازی باهاشون مواجه شدم و راهحلهایی که برای اونها پیدا کردم رو هم مستند کردم تا مسیر برای بقیه راحتتر باشه.
ابزارها و سرویسهای استفادهشده هم تا حد امکان Open…
🖌 چرا برای پروژههای IoT از PlatformIO استفاده کنیم؟
اگه با ESP32 یا بردهای Arduino کار کرده باشی، احتمالاً اسم PlatformIO به گوشت خورده.
❓اما PlatformIO دقیقاً چیه؟
یک محیط توسعه و ابزار مدیریت پروژه برای سیستمهای Embedded و IoT هست که میتونه روی VS Code استفاده بشه.
اما سؤال مهمتر:
چرا اصلاً باید سراغش بریم؟ 🤔
وقتی پروژه خیلی ساده باشه، Arduino IDE کاملاً جواب میده.
ولی پروژه که بزرگتر میشه، معمولاً با ای…
🖋 خب، تا اینجا تو چندتا پست درباره MQTT، ارسال داده، Topic، Wildcard و ساختار پیامها صحبت کردیم.
اما یک سؤال مهم باقی میمونه:
این چیزها در عمل چطور کنار هم قرار میگیرن؟ 🤔
برای همین چند روز اخیر مشغول آمادهکردن یک داکیومنت جامع و در عین حال ساده بودم که توش از طراحی ساختار پیامها تا مدیریت و استفاده از اونها در MQTT رو مرحلهبهمرحله توضیح دادم.
اما فقط به تئوری اکتفا نکردم. 👇
🔹 یک مثال عملی برای ESP32 آماد…
🖌 چطور بدون استعلام دورهای (Polling) مداوم، بفهمیم یک دستگاه IoT قطع شده یا از کار افتاده؟
❓وقتی برای پروژه از پروتکل MQTT استفاده میکنیم، دستگاهها مثل روشهای سنتی HTTP بهصورت مداوم Polling انجام نمیدن. حالا اگه یک دستگاه یهو خاموش بشه، اینترتش قطع بشه یا Crash کنه، چطور بقیه سیستم مطلع بشه؟
اینجاست که با دو قابلیت حیاتی و بومی پروتکل MQTT آشنا میشیم: LWT (Last Will & Testament) و Retained Messages
🔹 پیام ز…
❤2
Showing the 12 most recent of 20 posts we hold for @X_MindWorld. 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.
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 12 October 2026 — this
entry's latest reading, not the date you are reading this.
“XminD” (@X_MindWorld), 38 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/X_MindWorld.
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.