This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
4 measurements spanning 6 days, net +4. 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 1,721–1,727 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 06:58
1,726
+3
6 Aug 2026, 19:10
1,723
+1
6 Aug 2026, 07:05
1,722
no change
6 Aug 2026, 05:19
1,722
first reading
Engagement
20 posts held, back to 28 May 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
25.1%
avg views ÷ 1,726 subscribers
Avg views / post
434
1 post measured
Reaction rate
0.922%
reactions ÷ views · ER floor
Posts in window
1
of 20 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 14 July 2026
Posts held
20 (28 May 2026 – 14 July 2026)
Views total
434
Reactions total
4
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:40 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
15s
Average length
8s
Measured directly from 2 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
27 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 63.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
17
63.0%
👍
9
33.3%
🔥
1
3.70%
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 13 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 27reactions 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 28 May 2026 to 14 July 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.
سلام مهندسین عزیز، وقتتون بخیر.
من برای یک پروژه به محاسبات ترانس نیاز داشتم و تصمیم گرفتم با کمک هوش مصنوعی برنامهای برای محاسبات ترانس فلایبک بنویسم.
لینک گیتهاب آن این است:
https://github.com/hamedsargoli/Flyback-Designer.git
گفتم شاید بدرد بقیه همکاران و کسانی که در این زمینه کار میکنند یا یاد میگیرند هم بخورد.
https://telegram.me/mrsargoli
این ماژول از باتریهای لیتیومی ۳.۷ ولتی پشتیبانی میکنه و مدار شارژ داخلی با جریان شارژ تا ۲۰۰ میلیآمپر هم روی خودش داره. از اون مهمتر، مصرفش در حالت Deep Sleep فقط حدود ۱۳ میکروآمپره؛ یعنی اگر کل پروژهت هم بهینه طراحی شده باشه، میتونه مدت زیادی با یه باتری کوچک کار کنه.
🔌 کوچیکه، ولی دستت رو برای توسعه نمیبنده!
با وجود این ابعاد جیبی، تا ۱۹ پایه GPIO در اختیارت قرار میده؛ ۱۱ پایه روی هدرهای استاندارد و ۸ پای…
🔥 یه ماژول به اندازهی ناخن، اما با Wi-Fi 6 و آماده برای Zigbee، Thread و Matter!
تا حالا شده بخوای یه پروژهی IoT بسازی، ولی از بزرگ بودن برد، مصرف بالای باتری یا کمبود پایههای GPIO کلافه بشی؟ خب M5Stack انگار دقیقاً برای همین مشکل، Stamp-C5 رو معرفی کرده. 👇
🧩 با M5Stack Stamp-C5 آشنا شو
یه ماژول فوقالعاده جمعوجور با ابعاد فقط ۱۹.۱ × ۱۷.۶ × ۳.۴ میلیمتر و وزن ۱.۸ گرم که امکانات زیادی رو توی این فضای کوچیک جا د…
پروتکل در دنیای الکترونیک یعنی چه؟
فرض کنید شما و دوستتان میخواهید با هم صحبت کنید. اگر شما فارسی حرف بزنید و او فقط انگلیسی بلد باشد، هیچ ارتباطی برقرار نمیشود.
دستگاههای الکترونیکی هم دقیقاً همین مشکل را دارند!
آردوینو، سنسورها، نمایشگرها، ماژولهای بلوتوث و صدها قطعه دیگر، فقط زمانی میتوانند با هم ارتباط برقرار کنند که همگی از یک پروتکل (Protocol) مشترک استفاده کنند.
📌 پروتکل یعنی:
مجموعهای از قوانین که مش…
این چرخ شگفتانگیز که در ویدئو میبینید، PATS (Passive Adaptive Trajectory System) نام دارد و توسط Imperial College London توسعه یافته است.
ویژگی منحصربهفرد آن این است که بدون موتور، سنسور یا سیستم کنترل فعال از موانع عبور میکند؛ تمام عملکرد آن تنها بر پایهٔ طراحی هندسی و مکانیزمهای مکانیکی است.
این چرخ از چند بخش متحرک تشکیل شده که پیرامون یک محور مرکزی قرار گرفتهاند. هنگام برخورد با مانعی مانند پله، این بخشه…
Modulino Extender
جذابترین محصول جدید، Modulino Extender است.
ظاهر برد بسیار ساده است و تقریباً تمام عملکرد آن توسط تنها یک آیسی انجام میشود.
این تراشه، LTC4311 ساخت شرکت Linear Technology (اکنون بخشی از Analog Devices) است.
وظیفه آن بهبود کیفیت سیگنال باس I2C و افزایش برد ارتباطی بدون نیاز به تغییر نرمافزار است
مشخصات فنی
تراشه اصلی
LTC4311
ویژگیهای آن:
بهبود زمان بالا رفتن سیگنال (Rise Time)
افزایش پایداری انت…
آردوینو ماژولهای Modulino Hub و Modulino Extender را معرفی کرد؛ پشتیبانی از ۶۴ دستگاه I2C و ارتباط تا فاصله ۳۰ متر
شرکت آردوینو بهتازگی سه عضو جدید از خانواده Modulino را معرفی کرده است:
برد Modulino Hub برای اتصال همزمان حداکثر ۸ دستگاه I2C (و تا ۶۴ دستگاه با اتصال ۸ هاب به یکدیگر)
بردModulino Extender برای افزایش طول ارتباط باس I2C تا حدود ۳۰ متر
بردModulino Motors برای کنترل دو موتور DC یا یک موتور استپر
این پست…
پردازنده کمکی: RISC-V برای پیادهسازی «محیطهای جانبی نرمافزارمحور» (Software Defined Peripheral)
حافظه۲۵۶RAM کیلوبایت SRAM
حافظه غیر فرار: ۱/۵ مگابایت NVM
ارتباطات بیسیم
قابلیت Bluetooth LE 6.0
پشتیبانی از قابلیتهای
Bluetooth Channel Sounding
Thread
Zigbee (IEEE 802.15.4-2020)
Matter
Amazon Sidewalk
پروتکلهای اختصاصی 2.4GHz با نرخ انتقال جدید 4Mbps
پشتیبانی ازNFC
پشتیبانی از Aliro (استاندارد جدید کنترل دسترسی و ق…
پلتفرم نمونهسازی nRF54L15 Tag شرکت Nordic با باتری سکهای، مجهز به Bluetooth Channel Sounding، Matter و Edge AI
شرکت Nordic Semiconductor از پلتفرم نمونهسازی جدید nRF54L15 Tag رونمایی کرده است؛
یک برد بسیار کوچک با تغذیه از باتری سکهای (Coin Cell) که برای تسریع توسعه تجهیزات بیسیم فوقکممصرف IoT طراحی شده است. این پلتفرم بهویژه برای توسعه ردیابهای دارایی (Asset Tracker) سازگار با اکوسیستمهای Apple Find My و…
معرفی Synaptics Astra SRW1500
میکروکنترلر Edge AI با هسته Cortex-M52 و NPU Ethos-U55 به همراه Wi-Fi 6/7، Bluetooth 6.0 و 802.15.4
شرکت Synaptics خانواده جدیدی از میکروکنترلرهای هوشمند با نام Astra SRW1500 Series معرفی کرده است؛ این سری برای دستگاههای IoT هوشمند در لبه شبکه (Edge) طراحی شده است.
این خانواده شامل یک هسته کممصرف Arm Cortex-M52، یک واحد پردازش عصبی اختیاری Arm Ethos-U55 NPU و همچنین ارتباطات بیسیم چند…
Signed MK
Showing the 12 most recent of 20 posts we hold for @ReadyBoard. 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 — 120,191 of 1,160,990entries 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.
Mentions
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Ready Board” (@ReadyBoard), 1,726 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ReadyBoard.
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.