Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 49% 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
16 measurements spanning 16 days, net +169. 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 55,443–55,662 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 05:36
55,637
+10
20 Aug 2026, 22:02
55,627
+11
19 Aug 2026, 22:35
55,616
-2
18 Aug 2026, 22:07
55,618
+2
18 Aug 2026, 00:11
55,616
+19
15 Aug 2026, 17:17
55,597
-5
14 Aug 2026, 07:04
55,602
+3
13 Aug 2026, 02:47
55,599
+34
12 Aug 2026, 05:12
55,565
+19
11 Aug 2026, 02:58
55,546
+37
9 Aug 2026, 23:34
55,509
+12
9 Aug 2026, 00:55
55,497
+12
8 Aug 2026, 01:43
55,485
+8
6 Aug 2026, 23:04
55,477
+9
6 Aug 2026, 14:45
55,468
no change
6 Aug 2026, 14:38
55,468
first reading
Engagement
56 posts held, back to 24 July 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 35 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.98%
avg views ÷ 55,637 subscribers
Avg views / post
1,660
56 posts measured
Reaction rate
0.237%
reactions ÷ views · ER floor
Posts in window
56
of 56 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 47 of 56 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 22 August 2026
Posts held
56 (24 July 2026 – 22 August 2026)
Views total
92,874
Reactions total
190
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Aug 2026, 13:39 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
Photos
≈1,880
Videos
≈5
Links
≈511
Lifetime counters from Telegram’s own channel header, read 22 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
190 reactions across 45 posts, in 7 distinct kinds. The most used accounts for 90.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
172
90.5%
👍
9
4.74%
🔥
4
2.11%
👎
2
1.05%
👏
1
0.526%
😁
1
0.526%
🥱
1
0.526%
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 47 of the 56 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 190reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 24 July 2026 to 22 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.
let count = 0;
const interval = setInterval(() => {
count++;
console.log(count);
if (count === 5) {
clearInterval(interval);
}
}, 1000);
Output:
1
2
3
4
5
After 5, the interval is stopped.
78. What is callback hell?
Callback hell occurs when multiple asynchronous operations are nested inside one another, making code difficult to read and maintain.
Example:
getUser(user => {
get…
🚀 JavaScript Interview Questions with Answers — Part 8
71. What is fetch()?
fetch() is a modern JavaScript API used to make HTTP requests and communicate with servers.
It returns a Promise.
Example:
fetch("https://api.example.com/users")
.then(response => response.json())
.then(data => {
console.log(data);
})
.catch(error => {
console.log(error);
});
Using async/await:
async…
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🚀 JavaScript Interview Questions with Answers — Part 6
51. How do you sort arrays?
The sort() method is used to sort the elements of an array.
Sorting Strings
const fruits = ["Banana", "Apple", "Mango"];
fruits.sort();
console.log(fruits);
Output:
["Apple", "Banana", "Mango"]
Sorting Numbers
By default, sort() converts elements to strings, so a comparison function should be used for numbers.
const numbers = …
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Showing the 12 most recent of 56 posts we hold for @javascript_courses. 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 — 407,008 of 1,583,249entries 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.
Mentions
Named by 5 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Web Development @webdevcoursefree · 79,334 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 19 August 2026
STUDY MATERIAL - Placement Jobs & Materials @studymaterial_IT · 93,641 Telegram ranks this channel #5 of 79 here — alongside 78 others — read 16 August 2026
Coding Projects @Programming_experts · 67,332 Telegram ranks this channel #7 of 84 here — alongside 83 others — read 20 August 2026
Learn JavaScript @JavaScript_Trainings · 97,098 Telegram ranks this channel #7 of 68 here — alongside 67 others — read 16 August 2026
Coding_knowledge @coding_knwledge01 · 79,655 Telegram ranks this channel #11 of 82 here — alongside 81 others — read 18 August 2026
Web Development @webdev_trainings · 133,958 Telegram ranks this channel #12 of 65 here — alongside 64 others — read 13 August 2026
Developer's Home👨💻 @developperHome · 68,645 Telegram ranks this channel #13 of 83 here — alongside 82 others — read 20 August 2026
Curious Coder @Curious_Coder · 136,420 Telegram ranks this channel #13 of 75 here — alongside 74 others — read 13 August 2026
Coders World @codersworld1 · 150,712 Telegram ranks this channel #13 of 83 here — alongside 82 others — read 12 August 2026
NOTES GALLERY @NotesGallery1 · 91,373 Telegram ranks this channel #19 of 71 here — alongside 70 others — read 17 August 2026
Jobs | Internships | Placement | Interviews @getjobss · 113,225 Telegram ranks this channel #21 of 83 here — alongside 82 others — read 14 August 2026
Python Projects & Resources @pythondevelopersindia · 63,316 Telegram ranks this channel #22 of 86 here — alongside 85 others — read 21 August 2026
TheSanskaarSingh @codeslearningTG · 270,922 Telegram ranks this channel #22 of 84 here — alongside 83 others — read 11 August 2026
Learn React and NextJs @React_Training · 63,212 Telegram ranks this channel #23 of 64 here — alongside 63 others — read 21 August 2026
Linkedin Learning @linkedin_learning · 218,422 Telegram ranks this channel #24 of 65 here — alongside 64 others — read 11 August 2026
TCW - AI & Coding Resources 🚀👨💻 @the_coding_wizard · 181,728 Telegram ranks this channel #28 of 89 here — alongside 88 others — read 12 August 2026
Python Programming Books @dsabooks · 59,037 Telegram ranks this channel #29 of 89 here — alongside 88 others — read 22 August 2026
Machine Learning & Artificial Intelligence | Data Science Free Courses @datasciencefree · 67,978 Telegram ranks this channel #30 of 88 here — alongside 87 others — read 20 August 2026
Data Science @sql_databases · 70,914 Telegram ranks this channel #32 of 73 here — alongside 72 others — read 20 August 2026
SQL Programming Resources @sqlanalyst · 76,646 Telegram ranks this channel #32 of 85 here — alongside 84 others — read 19 August 2026
Data Science & Machine Learning @datasciencefun · 77,305 Telegram ranks this channel #33 of 85 here — alongside 84 others — read 19 August 2026
PythonNotes @pythonnotes1 · 78,494 Telegram ranks this channel #33 of 69 here — alongside 68 others — read 19 August 2026
Codewithrandom @Codewithrandom · 234,283 Telegram ranks this channel #36 of 83 here — alongside 82 others — read 11 August 2026
Tricky Man @Trickyman2 · 154,479 Telegram ranks this channel #37 of 57 here — alongside 56 others — read 12 August 2026
This channel appears in 40 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“Web Development - HTML, CSS & JavaScript” (@javascript_courses), 55,637 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/javascript_courses.
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.