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Channel
Deepak Gajrani CSPASSION Group
@deepakgajraniclasses
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Telegram's recommendations · Cite this entry
5,743subscribers
-227 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001493954016 |
|---|---|
| Type | Channel |
| Username | @deepakgajraniclasses |
| Created | Between 1 August 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 23 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/deepakgajraniclasses |
Topic
Education — 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 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 19:25 | 5,743 | -11 |
| 2 Nov 2026, 12:27 | 5,754 | -5 |
| 30 Oct 2026, 07:19 | 5,759 | -9 |
| 27 Oct 2026, 04:56 | 5,768 | -4 |
| 24 Oct 2026, 14:56 | 5,772 | -1 |
| 21 Oct 2026, 08:19 | 5,773 | -14 |
| 17 Oct 2026, 23:38 | 5,787 | -1 |
| 15 Oct 2026, 05:20 | 5,788 | -8 |
| 11 Oct 2026, 23:41 | 5,796 | -5 |
| 5 Oct 2026, 11:37 | 5,801 | -26 |
| 27 Sept 2026, 07:18 | 5,827 | -28 |
| 17 Sept 2026, 18:56 | 5,855 | -10 |
| 13 Sept 2026, 10:41 | 5,865 | -10 |
| 9 Sept 2026, 20:21 | 5,875 | -19 |
| 4 Sept 2026, 18:37 | 5,894 | -14 |
| 31 Aug 2026, 21:04 | 5,908 | -6 |
| 29 Aug 2026, 05:25 | 5,914 | -7 |
| 26 Aug 2026, 01:56 | 5,921 | -5 |
| 23 Aug 2026, 06:29 | 5,926 | -12 |
| 19 Aug 2026, 15:52 | 5,938 | first reading |
Engagement
40 posts held, back to 15 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 2 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.42%
- avg views ÷ 5,743 subscribers
- Avg views / post
- 81.5
- 20 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 20
- of 40 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.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 40 (15 July 2026 – 4 November 2026) |
| Views total | 1,629 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 19:10 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
- Video runtime
- 5s
- Average length
- 5s
Measured directly from 1 video 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 20 posts held from the last 30 days (5.00%) 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).
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Showing the 12 most recent of 40 posts we hold for @deepakgajraniclasses. 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.
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.
@vgstudyhubbestclasses · 52,761
Telegram ranks this channel #1 of 75 here — alongside 74 others — read 25 August 2026
@CSExecutive_notes · 20,044
Telegram ranks this channel #4 of 52 here — alongside 51 others — read 29 September 2026
@uniqueacademyforcomm · 23,088
Telegram ranks this channel #7 of 64 here — alongside 63 others — read 19 September 2026
@yesacademyforcs · 32,268
Telegram ranks this channel #17 of 44 here — alongside 43 others — read 5 September 2026
@Govt_Jobs_News_Police_Bharti · 23,798
Telegram ranks this channel #23 of 55 here — alongside 54 others — read 15 September 2026
@inspiracademy · 31,211
Telegram ranks this channel #34 of 63 here — alongside 62 others — read 6 September 2026
@GK_GS_GA_IBPS_Bank_Computer_PDF · 155,402
Telegram ranks this channel #40 of 54 here — alongside 53 others — read 12 August 2026
This channel appears in 7 seed channels' Telegram-generated recommendation lists 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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“Deepak Gajrani CSPASSION Group” (@deepakgajraniclasses), 5,743 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/deepakgajraniclasses.
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.