Telegram RegisterThe public register of Telegram

Channel

PrepLogics by CA Khyati Maheshwari

@PrepLogics

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

4,849subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001700115826
TypeChannel
Username@PrepLogics
DescriptionJoin my Youtube https://www.youtube.com/@PrepLogics/
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held2
Confirmed unchanged2 times, most recently 10 August 2026
On Telegramt.me/PrepLogics

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 11 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 why it has no browse page of its own yet.

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 word for word on 1 other registered channel. 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 (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@PrepLogics/3379 · this entry11 Dec 2025, 06:51 UTC@PrepLogics_VLibrary/61111 Dec 2025, 06:51 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@PrepLogics_VLibrary8 (8/8 hand-verifiable sample passed)1.00under a minute@PrepLogics_VLibrary (53)

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. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 11 October 2025 to 2 July 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).

Across the whole group of 2, the earliest publisher we hold is @PrepLogics_VLibrary. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

4,8494,8514,8507 Aug 2026, 05:45 — 4,851 subscribers8 Aug 2026, 04:01 — 4,849 subscribers7 Aug 2026, 05:458 Aug 2026, 04:01
2 measurements taken within a single day, net -2. 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 4,849–4,851 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 04:014,849-2
7 Aug 2026, 05:454,851first reading

Engagement

20 posts held, back to 11 October 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof 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 20 posts for this entry, the most recent from 2 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
326
Videos
9
Links
348

Lifetime counters from Telegram’s own channel header, read 12 August 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

9 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9100.0%

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 7 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 9reactions 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 11 October 2025 to 2 July 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

2 Jul 2026, 03:23 UTC311 viewsread 12 August 2026
Forwarded from @camayanktrivediPhoto

CA/CMA Final Surprise Gift 🎁 | New Student Discount + FREE DT Upgrade | Limited Time by @CA_Mayank_Trivedi (CMT Classes) Video : https://youtu.be/ghCe9yNvinc

Signed CA Khyati Maheshwari

4 Feb 2026, 12:45 UTC988 viewsread 12 August 2026
Forwarded from @ArhamInstitutePhoto

Link for enrolling - May - https://www.preplogics.com/product/ZYSB1735915834 Sep - https://www.preplogics.com/product/HXHG1767080863 Contact for any queries - 9039600091

Signed CA Khyati Maheshwari

3 Feb 2026, 17:43 UTC897 viewsread 12 August 2026
Forwarded from @ArhamInstitute

Guidance for Students | Inter | May'26| by CA Vardhaman Daga@arhaminstitute#vardhamandaga https://youtu.be/lcMZvIyjTp4

Signed CA Khyati Maheshwari

11 Jan 2026, 07:31 UTC≈1,190 viewsread 12 August 2026

Tax paper not good | Now what to do...? by CA Vardhaman Daga@arhaminstitute https://youtu.be/Zb0WNEb5vig

Signed CA Khyati Maheshwari

10 Jan 2026, 16:14 UTC934 viewsread 12 August 2026

INCOME Tax Paper MCQ Solution for Jan26 Exams | CA Vardhaman Daga https://youtu.be/h5_37HkCs8A

Signed CA Khyati Maheshwari

8 Jan 2026, 09:30 UTC≈1,980 viewsread 12 August 2026
File

📚 1.5 Days Taxation Master Plan – Jan’26 👨‍🏫 by CA Vardhaman Daga 🎯 Smart revision strategy ⏱️ Time-efficient plan 🔥 Focus on scoring topics ▶️ Watch here: https://youtu.be/dylvR6XqXNc

Signed CA Khyati Maheshwari

5 Jan 2026, 05:00 UTC822 viewsread 12 August 2026
Forwarded from @ArhamInstitute

Free IDT Masterclass for CA/CMA Final Students - Complete Guide & Tips | May | CA Vardhaman Daga https://youtu.be/mILzLgZCq_c

Signed CA Khyati Maheshwari

13 Dec 2025, 08:01 UTC≈1,280 views2 reactionsread 12 August 2026
Photo

ICAI Announcement For May 26 Exam Dates Link - https://www.icai.org/category/announcements Join us https://t.me/PrepLogics

2

Signed CA Khyati Maheshwari

11 Dec 2025, 06:51 UTC981 views0 reactionsread 12 August 2026

🔔Urgent Vacancy at Deloitte - Internal Audit Domain For Jabalpur Location - Madhya Pradesh (those who are locally in jabalpur or those who are willing to relocate to jabalpur are preferred) Qualification: CA / CMA Inter, CA Artcleship completed, post graduates Candidates having experience of Internal audit are preferred Google form https://forms.gle/v2phDTW1fBoUXWga6 🖊(After clicking this link, if ask to login, t

Signed જય શ્રી રામ

8 Dec 2025, 03:01 UTC937 viewsread 12 August 2026
Forwarded from @ArhamInstitutePhoto

Finally Complete Free classes for CA/CMA Final IDT…for MAY/JUNE/SEP/DEC’26/Jan’27 CA Vardhaman Daga LECTURES LINK - https://www.youtube.com/playlist?list=PLSDiEnqG29YxHOhYEZgHE0Xe1hdVG4mLC Link for Telegram group for final - https://t.me/CAVardhamanDaga Notes - all the notes will be shared in google drive and link will be shared very soon…🤞🏻♥️

Signed CA Khyati Maheshwari

15 Nov 2025, 12:59 UTC≈5,480 views3 reactionsread 12 August 2026

🚨 CA Final AFM Students, Your Ultimate Revision is HERE! 🚀 Archana Khetan Ma'am is back on YouTube with a POWER-PACKED Full Revision Series for the Jan 2026 CA Final AFM (Advanced Financial Management) attempt! 🔥 This series is your strategic edge to ace the exams: * Full Coverage: We're tackling the most crucial papers—RTP, MTP (1 & 2), and Past Exam Papers to ensure you're fully prepared. * Exam-Ready Mindset: P

3

Signed CA Khyati Maheshwari

15 Nov 2025, 04:06 UTC351 viewsread 12 August 2026
Forwarded from @PrepLogics_VLibraryPhoto

😩 Padna chaahte ho par focus nahi hota? 👀 Har baar plan banta hai par consistency nahi rehti? 💻 Join karo PrepLogics VLibrary – jahan 50+ students milke daily study karte hain! ✨ What you’ll get: 🔸 Students join video virtual room 🔸 Everyone tracks daily hours 🔸 You see ranks — feel the competition 🔸 Daily motivation from peers 🎯 Sirf ₹199 till Exams! Ab time aagaya hai excuses chhodne ka aur results laane ka 💪

Signed CA Khyati Maheshwari

Showing the 12 most recent of 20 posts we hold for @PrepLogics. 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 — 566,357 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.

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.

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“PrepLogics by CA Khyati Maheshwari” (@PrepLogics), 4,849 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/PrepLogics.

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.