Channel
@mBedLabLearningEN
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
60subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002448104424 |
|---|---|
| Type | Channel |
| Username | @mBedLabLearningEN |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 24 August 2026 |
| On Telegram | t.me/mBedLabLearningEN |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 18:55 | 60 | +1 |
| 10 Aug 2026, 05:46 | 59 | no change |
| 7 Aug 2026, 16:27 | 59 | first reading |
10 posts held, back to 20 December 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 pageof 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 10 posts for this entry, the most recent from 30 December 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.
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 2 of the 10 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 20 December 2025 to 30 December 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.
🔥 Build | See | Move | Think Smart Pixel Series – A Complete Robotics Learning Path Pixel Series is more than a set of boards. It is a modular educational ecosystem designed to help learners build robots that move, see, and understand their environment. This video introduces the core modules: 🟦 Pixel Core – The brain of the robot ⚙️ Pixel Motion – Motion and power control 👁 Pixel Vision – Smart line & color sensin…
🔥 Sense | Measure | Navigate Smart X-Pixel Sniper – Laser Vision for Your Robot If you want your robot to do more than just move, and actually understand distances and obstacles, X-Pixel Sniper is designed to teach real-world depth sensing and spatial awareness. ⚡️ Why X-Pixel Sniper? • High-precision Time-of-Flight laser distance sensing • Multi-target detection in real time • Multi-point distance mapping for spa…
🔥 Sense | Aim | Move Smart X-Pixel Sniper – Precision Vision for Your Robot Movement is not enough. Smart robots must understand their environment. X-Pixel Sniper is designed to bring perception and awareness into educational and mobile robots — simple, powerful, and effective. 🎯 Perfect for STEM education 🤖 Ideal for smart & competitive robots 🧠 The first step toward intelligent navigation 👉 Technical details c…
🔥 Build | See | Learn X-Pixel Vision LC – Smart Line & Color Tracking Module If you want your robot to track lines and colors and react intelligently to its environment, X-Pixel Vision LC is designed for precise line and color detection with advanced capabilities. ⚡️ Why X-Pixel Vision LC? ○ Precise line and surface detection in any lighting condition (dark or light) ○ Line detection range from 0.5 to 6 cm for lin…
❤1
🚀 Pixel Vision LC | The Smart Eye for Educational Robots Pixel Vision LC is the first intelligent line & color sensor with an ARM processor that auto-calibrates. It detects lines and colors accurately, requires no libraries or drivers, and works with any hardware. ○ Smart line & color detection ○ Auto-calibrated and intelligent ○ Compatible with any platform ○ Ideal for STEM and educational robotics projects ○ Comp…
❤2
🔥 Build | Learn | Move X-Pixel Motion V1 – Bringing Motion to Robotics If you want your robot to truly move and understand the fundamentals of motion control, power, and feedback, X-Pixel Motion V1 is the perfect motion module for robotics and STEM education. ⚡️ Why X-Pixel Motion V1? ○ Supports 2 DC motors for educational and mobile robots ○ Compatible with 2 servo motors or 2 encoders ○ Precise PWM control for s…
🚀 Pixel Motion | Bringing Movement to Educational Robots Pixel Motion is designed to add real, controlled movement to educational robotics platforms — without complexity or risk. It helps learners clearly understand the relationship between code, power, and motion, making robotics learning practical and engaging. With built-in protection and easy integration into the Pixel ecosystem, Pixel Motion provides a safe a…
🔥 Build | Learn | Innovate X-Pixel Core R1 – The Real Starting Point of Robotics If you’re looking for a powerful, affordable, and ready-to-use development board for robotics and STEM education, X-Pixel Core R1 is exactly what you need. ⚡️ Why X-Pixel Core R1? ○ Popular compatible microcontroller (Arduino-compatible) ○ Flexible power options: USB Type-C, DC input up to 24V, Li-ion battery ○ Integrated smart batter…
Pixel Core | Educational Robotics Platform Pixel Core is the core control platform of the Pixel educational robotics ecosystem. It is designed to help children and beginners enter the world of robotics safely and confidently. By simplifying hardware interaction and providing modular expansion, Pixel Core allows learners to gradually explore robotics concepts without being overwhelmed. Key focus areas: ○ Safety-fir…
New chapter starts here. For years, our focus has been on designing and developing embedded hardware as in-house solutions for selected teams and projects. Today, we are opening this work to a broader audience and sharing our products publicly. This is the foundation of what’s coming next. Each product will be introduced in detail in the coming days. #mBedLab 📍mBedLab in English: @mBedLabLearningEN 📍mBedLab Tü…
Showing the 10 most recent of 10 posts we hold for @mBedLabLearningEN. 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 — 1,117,280 of 1,627,445entries 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.
Named by 1 registered channel — 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“mBedLab Learning” (@mBedLabLearningEN), 60 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/mBedLabLearningEN.
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.