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Telegram profile photo for CA NOTES COMMUNITY

Channel

CA NOTES COMMUNITY

@CANOTESCOMMUNITY

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

36,193subscribers

-47 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001637819805
TypeChannel
Username@CANOTESCOMMUNITY
Description🏆CNC - CA NOTES COMMUNITY 📢𝗢𝗡𝗘 𝗦𝗧𝗢𝗣 𝗦𝗢𝗟𝗨𝗧𝗜𝗢𝗡 𝗧𝗢 𝗖𝗔 𝗦𝗧𝗨𝗗𝗘𝗡𝗧𝗦 📖𝗡𝗢𝗧𝗘𝗦 ✴️𝗨𝗣𝗗𝗔𝗧𝗘𝗦 📝𝗧𝗘𝗦𝗧𝗦 🤗𝗠𝗢𝗧𝗜𝗩𝗔𝗧𝗜𝗢𝗡 💡𝗤𝗨𝗜𝗭𝗭𝗘𝗦 💯Students Voice 🔥 💁For Copyright/promotion Msg ➛ @CNC_SUPPORT
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/CANOTESCOMMUNITY

Topic

Education — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 8 other registered channels. This entry also sits inside a group of 19 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@CANOTESCOMMUNITY/22327 · this entry4 Aug 2026, 05:19 UTC@CACell/401834 Aug 2026, 11:58 UTC1.006.7 hours
@CANOTESCOMMUNITY/22417 · this entry19 Aug 2026, 06:29 UTC@CACell/4022119 Aug 2026, 11:46 UTC1.005.3 hours
@CACell/4020217 Aug 2026, 11:29 UTC@CANOTESCOMMUNITY/22458 · this entry26 Aug 2026, 05:56 UTC1.009 days
@CANOTESCOMMUNITY/22764 · this entry28 Oct 2026, 07:02 UTC@CACell/4037428 Oct 2026, 11:18 UTC1.004.3 hours
@CANOTESCOMMUNITY/22817 · this entry3 Nov 2026, 11:14 UTC@CACell/403913 Nov 2026, 11:15 UTC1.00under a minute
@CANOTESCOMMUNITY/22850 · this entry6 Nov 2026, 15:18 UTC@CACell/404156 Nov 2026, 15:18 UTC1.00under a minute
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
ChannelMatching postsText overlapTypical gapPublished first
@CACell20 (8/8 hand-verifiable sample passed)1.0037 minutesthis entry (18–2)
@CAINTERCOMMUNITY45 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (40–5)
@canewcourse11 (8/8 hand-verifiable sample passed)1.0011 minutes@canewcourse (9–2)
@fastcostfmbyab5 (5/5 hand-verifiable sample passed)1.004.5 hours@fastcostfmbyab (5–0)
@CA_RECLUSEMATES18 (8/8 hand-verifiable sample passed)1.0018 minutesthis entry (12–6)
@CA_INTER_FREE_CLASSES15 (8/8 hand-verifiable sample passed)1.001.6 hoursthis entry (12–3)
@CA_Inter_NotesForAll10 (8/8 hand-verifiable sample passed)1.004.1 hoursthis entry (10–0)
@ArhamInstitute25 (8/8 hand-verifiable sample passed)1.00under a minute@ArhamInstitute (23–2)

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. 13 of the 14 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 360 comparable posts for this entry, running 3 August 2026 to 10 November 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 19 channels, the one whose matching posts we hold earliest is @CA_Foundation_NotesForAll. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, 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 19 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.

Growth

36,19036,40736,298.536,1937 August 202610 November 2026
61 measurements spanning 95 days, net -47. 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 36,157–36,440 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
10 Nov 2026, 10:0036,193+3
9 Nov 2026, 00:5636,190-5
7 Nov 2026, 17:1836,195-8
6 Nov 2026, 14:3536,203-15
5 Nov 2026, 12:2936,218+11
4 Nov 2026, 09:1636,207+2
3 Nov 2026, 07:5636,205+9
2 Nov 2026, 06:3636,196+5
1 Nov 2026, 03:5136,191-7
31 Oct 2026, 02:4636,198+1
30 Oct 2026, 05:3636,197-20
29 Oct 2026, 07:5536,217-5
28 Oct 2026, 06:1636,222-3
27 Oct 2026, 09:1036,225-12
26 Oct 2026, 06:0536,237+3
25 Oct 2026, 05:4636,234-6
24 Oct 2026, 05:2636,240-26
23 Oct 2026, 08:0036,266-14
22 Oct 2026, 09:2936,280-2
21 Oct 2026, 04:2736,282first reading

Engagement

495 posts held, back to 3 August 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 180 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.25%
avg views ÷ 36,193 subscribers
Avg views / post
814
201 posts measured
Reaction rate
0.158%
reactions ÷ views · ER floor
Posts in window
201
of 495 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 65 of 201 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held495 (3 August 2026 – 11 November 2026)
Views total163,646
Reactions total95
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 05:15 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
≈2,050
Videos
≈235
Links
≈2,610

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. 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.

Video runtime
13m 31s
Average length
45s

Measured directly from 18 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

303 reactions across 156 posts, in 7 distinct kinds. The most used accounts for 87.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤26587.5%
👍144.62%
👏103.30%
🔥61.98%
🙏41.32%
🎉20.66%
🏆20.66%

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 185 of the 495 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 303 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 495 most recent posts we hold, published 3 August 2026 to 11 November 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.

Advertising

Ad load
0.404%
2 of 495 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 1 distinct token
Median views · ads
614
over 2 measured posts
Median views · rest
1,130
over 492 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
taxation226 October 202627 October 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 495 most recent posts we hold, published 3 August 2026 to 11 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 201 posts 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).

11 Nov 2026, 04:25 UTC105 viewsread 11 November 2026
Forwarded from @ArhamInstitute

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10 Nov 2026, 11:59 UTC541 viewsread 11 November 2026
Forwarded from @canewcoursePhoto

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10 Nov 2026, 09:01 UTC925 views1 reactionsread 11 November 2026

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10 Nov 2026, 06:57 UTC630 views0 reactionsread 11 November 2026
Forwarded from @canewcoursePhoto

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10 Nov 2026, 06:30 UTC561 viewsread 11 November 2026
Forwarded from @ArhamInstitute

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9 Nov 2026, 14:38 UTC299 viewsread 11 November 2026
Forwarded from @canewcoursePhoto

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9 Nov 2026, 14:33 UTC399 viewsread 11 November 2026
Forwarded from @canewcoursePhoto

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9 Nov 2026, 08:03 UTC852 views1 reactionsread 11 November 2026
Photo

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❤1

9 Nov 2026, 05:50 UTC627 viewsread 11 November 2026
Forwarded from @ArhamInstitutePhoto

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9 Nov 2026, 05:07 UTC709 viewsread 11 November 2026
Video

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8 Nov 2026, 12:58 UTC669 viewsread 11 November 2026
Forwarded from @canewcoursePhoto

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8 Nov 2026, 12:56 UTC720 viewsread 11 November 2026

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Showing the 12 most recent of 495 posts we hold for @CANOTESCOMMUNITY. 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.

Posts recorded as deleted after publishing

We recorded 2 posts on @CANOTESCOMMUNITY as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
3 September 2026
Most recent seen missing
24 September 2026
Median time before seen missing
42 hours
Seen missing in the last 30 days
0

Forward network

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 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

CNC INTER
@CAINTERCOMMUNITY · 10,519
#1
CA NOTE HUB
@CANOTEHUB · 13,269
#2
CA INTER GROUP STUDY🔥
@CAINTERGROUPSTUDY · 19,570
#3
Chartered studies
@chartered_studies · 101,566
#4
Your CA Buddie
@YourCABuddie · 6,255
#5
CA INTER JAN27 MAY27 SEP27
@CA_INTER_STARS · 324
#6
CA FINAL COMMUNITY - CNC
@CAFINALCOMMUNITY · 4,714
#7
(CA Inter)Jan 27/Sep26
@CA_INTER_IMP_QUESTION · 3,953
#8
CA QUIZZ COMMUNITY
@CAQUIZZCOMMUNITY · 2,462
#9
CA INTER LEGENDS 🔥 💯
@CAInterLegends · 23,098
#10
CA INTER NOTES
@cainternoteshub · 15,377
#11
CA Inter with Your CA Buddy
@therankerwayinter · 106,589
#12
Cᴀ Iɴᴛᴇʀ Sᴘᴇᴄɪᴀʟ Nᴏᴛᴇs
@CAInterElitesNotes · 5,177
#13
Bhanwar Borana (BB)- Direct Tax
@BBSIRDT · 208,600
#14
CA Inter Notes
@CAnotes_ipcc · 44,700
#15
Clear CA Inter with Shubham Keswani
@clearcainterwithsk · 66,389
#16
CA Inter IMP 👉 CA Pratik Thakkar
@capratik25 · 17,474
#17
CA TOPPERS 🔥 ( NOTES )
@CA_inter_topper_notes · 5,680
#18
CA INTER FREE CLASSES (2026-2027)
@CA_INTER_FREE_CLASSES · 6,755
#19
CA Strangers
@cainter_strangers · 5,782
#20
CA inter test series
@jksctest · 3,963
#21
CA INTER GROUP STUDY TEST🔥
@CAINTERGROUPSTUDYTEST · 3,852
#22
CA INTER LAW, AUDIT, SM ARHAM INSTITUTE (NOTES, MCQS, DOUBT SOLVING, DAILY TARGETS, MENTORSHIP)
@CAINTER_LAVISH_SIR · 2,152
#23
CA Harsh Gupta (HG Virtuals)⚖️
@CA_Law_HarshGupta · 44,468
#24
EDU91
@neerajaroraclasses · 50,077
#25
MVSIR Classes
@camvsir · 45,584
#26
CA Inter notes
@intercanotes · 3,744
#27
CA INTER DAILY TARGETS 🚀🔥2026-27
@CAIntermediateGrp · 4,344
#28
Recluse CA Study Mates
@CA_RECLUSEMATES · 7,216
#29
CA FIGHTERS NOTES community👨‍🎓👨‍🎓
@cafighteresnotes · 2,792
#30
CA Wallah - Official PW Account
@CAwallahbypw · 80,579
#31
The ProCA™ Inter Notes & Updates📕📚
@ProCA_Inter · 5,336
#32
CA Study Circle 🦅
@caintmay24 · 861
#33
CA Foundation students
@caaspirants3 · 3,555
#34
CA Hardik Manchanda
@targetcafoundation · 62,448
#35
Learn with Pranav
@learnwithpranav · 45,891
#36
𝐂𝐀 𝐈𝐧𝐭𝐞𝐫 𝐇𝐮𝐬𝐭𝐥𝐞𝐫𝐬
@CAInterHustlers · 3,221
#37
CA Aman Agarwal - Cost and FM SM
@costingwithcaaman · 8,567
#38
CA Inter by CA. Jai Chawla 🎯
@CAJaiChawla · 48,786
#39
CA Vijay Sarda-Romancing the Taxation
@cavijaysarda · 56,211
#40
CA Jai Gulia - Taxation
@CA_CMA_INTER_TAX · 1,502
#41
CA inter specific notes 📝
@cainterspecificnotes · 672
#42
CA Notes & Updates @CACell:📲
@CACell · 7,199
#43
Swapnil Patni's classes
@swapnilpatniclasses · 72,655
#44
CA Made with Logic - CA Inter🎓
@camadewithlogic · 4,639
#45
CA EXAM PREP
@Ekagrata_CA · 16,265
#46
CA Shubham Gupta AIR 10 - CA Inter FM-SM BB Virtuals
@CAShubhamGuptaAIR10 · 2,135
#47
CA Final Notes-25
@cafinalnotes24RB · 2,228
#48
Ultimate CA - Best CA Classes
@ultimatecatelegram · 31,355
#49
Manish M. Valechha Audit and FM SM
@VALECHHA_ED · 1,551
#50
CA RAHUL GARG (RSA)
@carahulgargrsa · 30,721
#51
Level Up with Anushree 🦸‍♀️
@caanushreeagrawal · 12,444
#52
Inter Audit by Pragnesh Sir
@taa_inter_audit_mcq · 3,383
#53
CA Success Path- Foundation
@CA_Success_Path · 3,085
#54
CA Prabhjot Singh
@caprabhjotsingh · 1,085
#55
CA Darshan Khare
@DARSHANKHAREFINALLAW · 26,951
#56
CA Final & CA Inter Audit | Auditguru | Mentorship | CA Ravi Taori
@AuditGuru · 29,125
#57
VSI Jaipur Official
@vsijaipur · 21,330
#58
CA Inter Audit Notes By CA Kapil Goyal
@CAKapilGoyalAuditNotes · 26,534
#59
CA ROHIT SHROFF - AUDIT
@carohitshroff · 6,958
#60
CA FOUNDATION CARTEL
@CA_Foundation_JG · 1,158
#61
📍 MALLU CA TALKS
@canoteskerala · 4,523
#62
Abhishek Zaware Smart Bytes
@adz_smart_castudents · 7,021
#63
CA Mohit Patidar - L-Cube
@camohitpatidar · 13,217
#64
CA Inter Super 75
@InterCAKaran · 7,445
#65
G's and Girls™ -🍷
@gsandgirls · 4,394
#66
Clear CA with Shubham Keswani
@ClearCAWithSK · 119,592
#67
CA_INTER_PREPARATION❤️
@cainterpreparation · 10,084
#68
WealthWay Advisors
@wealthwayadvisors · 248
#69
CA NAMIT ARORA (NAMIT ARORA CLASSES)
@namitaroraclasses · 48,052
#70
The Institute of Chartered Accountants of India, ICAI
@theicai · 103,637
#71
Dr CA Ravie Agarwal
@caraviagarwaloriginal · 26,595
#72
CA TRILOK SIR MATHEMATICS ( CA FOUNDATION)
@cafoundationQA · 2,210
#73
HakkSeCA | MCQ Bhandar | CA/ CS/ CMA Intermediate
@hakkseca_mcq · 344 (as read 1 September 2026)
#74

Read from Telegram’s recommendation API, most recently 1 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

CA INTER GROUP STUDY🔥
@CAINTERGROUPSTUDY · 19,570
Telegram ranks this channel #1 of 82 here — alongside 81 others — read 30 September 2026
CA INTER LEGENDS 🔥 💯
@CAInterLegends · 23,098
Telegram ranks this channel #1 of 84 here — alongside 83 others — read 18 September 2026
CA Inter Notes
@CAnotes_ipcc · 44,700
Telegram ranks this channel #3 of 89 here — alongside 88 others — read 27 August 2026
CA Wallah Intermediate
@CA_Wallah_Intermediate · 46,724
Telegram ranks this channel #3 of 83 here — alongside 82 others — read 27 August 2026
CA Inter with Your CA Buddy
@therankerwayinter · 106,589
Telegram ranks this channel #3 of 90 here — alongside 89 others — read 19 August 2026
Chartered studies
@chartered_studies · 101,566
Telegram ranks this channel #3 of 81 here — alongside 80 others — read 19 August 2026
CA Nitin Guru
@canitinguru · 25,048
Telegram ranks this channel #4 of 71 here — alongside 70 others — read 15 September 2026
VSI Jaipur Official
@vsijaipur · 21,330
Telegram ranks this channel #5 of 79 here — alongside 78 others — read 22 September 2026
CA Inter by CA. Jai Chawla 🎯
@CAJaiChawla · 48,786
Telegram ranks this channel #5 of 91 here — alongside 90 others — read 26 August 2026
CA Darshan Khare
@DARSHANKHAREFINALLAW · 26,951
Telegram ranks this channel #6 of 77 here — alongside 76 others — read 10 September 2026
CA Vijay Sarda-Romancing the Taxation
@cavijaysarda · 56,211
Telegram ranks this channel #6 of 90 here — alongside 89 others — read 23 August 2026
Clear CA Inter with Shubham Keswani
@clearcainterwithsk · 66,389
Telegram ranks this channel #6 of 90 here — alongside 89 others — read 22 August 2026
CA Kapil Goyal - caindia.org
@auditwithkapil · 52,994
Telegram ranks this channel #7 of 83 here — alongside 82 others — read 24 August 2026
EDU91
@neerajaroraclasses · 50,077
Telegram ranks this channel #7 of 88 here — alongside 87 others — read 24 August 2026
Bhanwar Borana (BB)- Direct Tax
@BBSIRDT · 208,600
Telegram ranks this channel #7 of 90 here — alongside 89 others — read 19 August 2026
CA Harsh Gupta (HG Virtuals)⚖️
@CA_Law_HarshGupta · 44,468
Telegram ranks this channel #8 of 87 here — alongside 86 others — read 29 August 2026
CA Jobs, CA Articleship Vacancies & Placement
@Jobs4CA · 44,095
Telegram ranks this channel #9 of 97 here — alongside 96 others — read 28 August 2026
CA Inter Audit Notes By CA Kapil Goyal
@CAKapilGoyalAuditNotes · 26,534
Telegram ranks this channel #11 of 85 here — alongside 84 others — read 11 September 2026
CA New Course 2026
@canewcourse · 31,212
Telegram ranks this channel #11 of 74 here — alongside 73 others — read 5 September 2026
CA NAMIT ARORA (NAMIT ARORA CLASSES)
@namitaroraclasses · 48,052
Telegram ranks this channel #11 of 80 here — alongside 79 others — read 27 August 2026
CA Hemant somani | AIR 46
@cahemantsomani · 48,312
Telegram ranks this channel #13 of 91 here — alongside 90 others — read 27 August 2026
CA Final & CA Inter Audit | Auditguru | Mentorship | CA Ravi Taori
@AuditGuru · 29,125
Telegram ranks this channel #14 of 86 here — alongside 85 others — read 8 September 2026
CA RAHUL GARG (RSA)
@carahulgargrsa · 30,721
Telegram ranks this channel #14 of 84 here — alongside 83 others — read 6 September 2026
MVSIR Classes
@camvsir · 45,584
Telegram ranks this channel #14 of 82 here — alongside 81 others — read 28 August 2026

This channel appears in 51 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“CA NOTES COMMUNITY” (@CANOTESCOMMUNITY), 36,193 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/CANOTESCOMMUNITY.

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.