Did You Know? – Frontend Performance Matters More Than Features A frontend application can have perfect functionality and still provide a poor user experience. Metrics such as First Contentful Paint (FCP), Largest Contentful Paint (LCP), and Time to Interactive (TTI) directly impact user retention. A delay of just a few hundred milliseconds can significantly increase bounce rates and reduce conversions. Linkedin │ …

Channel
Nexus Tutorial
@nexus_tutorial
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,332subscribers
-2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002348337873 |
|---|---|
| Type | Channel |
| Username | @nexus_tutorial |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/nexus_tutorial |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 06:04 | 1,332 | +1 |
| 10 Aug 2026, 14:01 | 1,331 | -2 |
| 7 Aug 2026, 11:45 | 1,333 | -1 |
| 6 Aug 2026, 13:36 | 1,334 | first reading |
Engagement
20 posts held, back to 30 June 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 28.5%
- avg views ÷ 1,332 subscribers
- Avg views / post
- 380
- 4 posts measured
- Reaction rate
- 0.585%
- reactions ÷ views · ER floor
- Posts in window
- 4
- 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. It is computed over the 2 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 20 (30 June 2026 – 4 August 2026) |
| Views total | 1,519 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 13:36 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.
Reaction mix
41 reactions across 13 posts, in 5 distinct kinds. The most used accounts for 53.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 22 | 53.7% | |
| 🔥 | 9 | 22.0% | |
| 💯 | 5 | 12.2% | |
| 👍 | 4 | 9.76% | |
| 😎 | 1 | 2.44% |
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 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 41reactions 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 30 June 2026 to 4 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.
Recent posts
Did You Know? – Full Stack Isn't Just Frontend + Backend True full-stack development involves understanding how data flows across the entire system—from the user interface to APIs, business logic, databases, caching layers, and deployment infrastructure. The ability to identify bottlenecks across these layers is often more valuable than expertise in a single technology. Linkedin │ Telegram | Website | YouTube #Nex…
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Did You Know? – AI Learns from Patterns Artificial Intelligence doesn't "think" like humans. It learns by analyzing massive amounts of data and identifying patterns, allowing it to make predictions, recognize images, and understand language. Linkedin │ Telegram | Website | YouTube #Nexustutorial
Knowledge becomes more valuable when it's shared. 🌟 We're inviting passionate professionals to join IS HUB as mentors and help nurture the next generation of tech talent. Be the mentor you once neede. Interested Dm @ISHubAAU_Support Telegram|LinkedIn|YouTube | Tiktok
❤2
Did You Know? – Databases Are Often the Real Bottleneck Many performance issues aren't caused by slow code but by inefficient database operations. A poorly optimized query that scans millions of rows can consume more resources than hundreds of API requests. This is why indexing, query optimization, and proper schema design are critical for scalable applications. Linkedin │ Telegram | Website | YouTube #Nexustutori…
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Registration is Now Open! Build AI That Can Read, Search, and Answer Questions Like ChatGPT! Join our 1 Month Retrieval Augmented Generation (RAG) Workshop and learn how to build intelligent AI applications from the ground up. Whether you're a student, developer, researcher, working professional, or simply curious about AI, this workshop is designed for you. No prior AI or programming experience is required we'll g…
🔥2❤1
🎉 Nexus Batch 6 Orientation Successfully Completed! Thank you to everyone who joined the Batch 6 Orientation Session today. We had a great session, and we're excited to begin this learning journey with you! 📌 Registration for Nexus Batch 6 is officially closed as of tonight. If you successfully registered but were unable to attend the orientation or have not yet received access to your class or communication channe…
📢 #Please Note: We extended the registration deadline by three days from our original schedule based on requests from many students. However, once registration closes today, no new applications will be accepted under any circumstances. This is your final opportunity to apply and join the program. The smartest thing you can do this summer is invest in yourself. 🫵 By the end of the summer, you could have real softwar…
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For those who registered today, we will contact you via email and Telegram after registration closes at 12:00 LT. You will then be able to join the Orientation Session at 1:00 LT tonight. Please wait patiently, and make sure your Telegram privacy settings allow others to add you to groups, as our team will add you to the private group before the session.
Registration closes today at 12:00 PM LT, so be sure to complete your application before the deadline. All successfully registered applicants are required to attend the Orientation Session today, July 8, at 1:00 PM LT. The meeting link will be shared in the private group. During the session, you'll receive important information about the program, meet your fellow students, and get ready to begin your software develo…
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⏰ Final Registration Reminder! This is your last and final opportunity to join Nexus Batch 6! If you missed the first registration round, this is your chance to secure your spot. Registration closes tomorrow at 12:00 LT, so be sure to complete your application before the deadline. All successfully registered applicants are required to attend the Orientation Session on Wednesday, July 8, at 1:00 PM LT, where you'll…
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Based on requests from some students, we have extended the registration deadline until Wednesday, July 8, at 12:00 LT. You can register until then and join the orientation class with all students On Wednesday, July 8, at night 1:00 LT. This is the last and final opportunity for those who missed the first registration round. Please make sure to complete your registration before the deadline. 👉 Apply Now: https://n…
Showing the 12 most recent of 20 posts we hold for @nexus_tutorial. 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 — 301,956 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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.
“Nexus Tutorial” (@nexus_tutorial), 1,332 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/nexus_tutorial.
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.