Other / unclassifiable — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 47% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 13 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (2 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 2 of the 2 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 44 comparable posts for this entry, running 23 July 2026 to 19 October 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 13 channels, the one whose matching posts we hold earliest is @Coding_CommunityOfficial — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 13 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
26 measurements spanning 96 days, net -49. 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 7,206–7,328 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
11 Nov 2026, 01:08
7,220
-7
7 Nov 2026, 07:50
7,227
-10
4 Nov 2026, 14:46
7,237
-5
1 Nov 2026, 10:10
7,242
-4
29 Oct 2026, 02:29
7,246
-2
23 Oct 2026, 18:40
7,248
+9
20 Oct 2026, 22:28
7,239
-6
17 Oct 2026, 13:49
7,245
-9
14 Oct 2026, 23:55
7,254
-27
12 Oct 2026, 00:20
7,281
-12
5 Oct 2026, 01:18
7,293
-8
26 Sept 2026, 06:55
7,301
-10
17 Sept 2026, 11:40
7,311
+11
13 Sept 2026, 00:16
7,300
+4
9 Sept 2026, 09:19
7,296
-18
4 Sept 2026, 00:14
7,314
+4
1 Sept 2026, 00:34
7,310
+9
28 Aug 2026, 22:15
7,301
+3
26 Aug 2026, 04:43
7,298
+1
23 Aug 2026, 14:34
7,297
first reading
Engagement
51 posts held, back to 23 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 29 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.75%
avg views ÷ 7,220 subscribers
Avg views / post
271
1 post measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
1
of 51 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 19 October 2026
Posts held
51 (23 July 2026 – 19 October 2026)
Views total
271
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 02:50 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
157
Videos
1
Links
302
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
6 reactions across 5 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6
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 5 of the 51 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 51 most recent posts we hold, published 23 July 2026 to 19 October 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
Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🚨 Earn Passive Money Easily 🚨
Since your device is already connected to the internet, you can actually get paid for the data you aren't using.
Honeygain is a trusted app that runs quietly in the background of your phone or PC. It just securely shares your unused bandwidth with researchers and pays you for it. Your connection stays 100% encrypted, and it never accesses your personal data, files, or browsing history.…
Daily High-Accuracy Quotex Signals ✅
Our signals focus on key price action levels, trend momentum, and strict risk management to help you stay profitable. just follow the call or put and execute on time.
🎁 Official Deposit Bonus:
CREATE ACCOUNT BY OFFICIAL REGISTRATION LINK:
broker-qx.pro/sign-up/?lid=1154689
broker-qx.pro/sign-up/?lid=1154689
👇 How to get started in 2 minutes:
Click on the link Create account
…
🚨 Earn Passive Money Easily 🚨
Since your device is already connected to the internet, you can actually get paid for the data you aren't using.
Honeygain is a trusted app that runs quietly in the background of your phone or PC. It just securely shares your unused bandwidth with researchers and pays you for it. Your connection stays 100% encrypted, and it never accesses your personal data, files, or browsing history.…
INDIA'S BIGGEST SHOPPING SALE IS LIVE TOMORROW
IS IT REALLY A DEAL🤡?
THIS APP BUYHATKE TELLS —
1. Deal Scan: Check whether today’s “discount” is actually a good deal.
2. Price History: See previous prices and festival-period trends before buying.
3. Buy Smarter: Find the lowest price and save more this festive season.
✴️✴️INSTALL THE APP FROM PLAYSTORE & APP STORE
🌟 CLICK HERE
🚀 Understand Any Tech System with One Prompt as a programmer
(Note: System understanding, connecting real-world problems to technical problems, and asking the right questions may become some of the most valuable skills for programmers over the next 5 years. As AI becomes irreplaceable at writing and executing code, programmers need to become better at defining the problem, understanding the system, and judging wheth…
❤️ Here is the list of highly recommended Telegram channels for your free learning ❤️
Get Free courses with Certificates from top companies
👇👇
https://t.me/realgroupforprogrammer
https://t.me/Coding_CommunityOfficial
https://t.me/programmingbay
https://t.me/programmings_guide
https://t.me/freecoursesupdates
Jobs and Internships Updates:
https://t.me/jobsandinternshipsupdates
https://t.me/jobsandinternshipsin…
🚨 Earn Passive Money Easily 🚨
Since your device is already connected to the internet, you can actually get paid for the data you aren't using.
Honeygain is a trusted app that runs quietly in the background of your phone or PC. It just securely shares your unused bandwidth with researchers and pays you for it. Your connection stays 100% encrypted, and it never accesses your personal data, files, or browsing history.…
Hackathon
National Research & Innovation Challenge Season 3
📌APPLY LINK :
https://bit.ly/4jpxU0r
Claim your Free $5 Bonus Here👇
https://bit.ly/3wUxw09
LinkedIn profile 👇
https://www.linkedin.com/in/subarno-roy-3b2251374
Join our WhatsApp Channel 👇
https://whatsapp.com/channel/0029VbAi27y0lwghBe9mE42i
WhatsApp Community Link 👇
https://chat.whatsapp.com/G8wPqAwwm1qHo1AdM8YPkM
1️⃣ Jobs and Internships Updates
…
🔟 DYNAMIC PROGRAMMING
Dynamic Programming, or DP, is used when a problem can be broken into smaller overlapping subproblems and their results can be reused.
Two important ideas are:
👉 Memoization → Store results of previously solved states.
👉 Tabulation → Build results iteratively from smaller states.
DP often appears in problems involving: Sequences, Paths, Knapsack-style problems, Optimization, Counting possib…
Showing the 12 most recent of 51 posts we hold for @Coding_CommunityOfficial. 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.
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
If you want to prepare for GATE CSE we have got an exclusive offer from GeeksForGeeks for our community members.
We can provide our community members GeeksForGeeks GATE CSE course at only 7,999/-.
Yes, I will buy a GATE CSE course for 7,999/-.25%
No, I am not interested.75%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
How many of you are preparing for Indian Central Government Examinations?
Yes, I am preparing.49%
Currently not, but in future.25%
No, I am not interested.26%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 51 most recent posts we hold, published 23 July 2026 to 19 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
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 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@Coding_CommunityOfficial named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@quotextrading49 named in 1 post, 6 November 2026 – 6 November 2026 · confirmed gone 22 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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.
Jobs/Internship All Batches @learnnew3 · 47,618 Telegram ranks this channel #67 of 74 here — alongside 73 others — read 26 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Coding Community” (@Coding_CommunityOfficial), 7,220 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/Coding_CommunityOfficial.
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.