You all have way much potential and you can do a lot every single day You just need to be focused, should have every day plan and inner will to execute it There is no doubt that you can do it Bas Karo
❤95👍17❤🔥7🙏3

Channel
@edunitimg
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
162,866subscribers
+960 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001473763450 |
|---|---|
| Type | Channel |
| Username | @edunitimg |
| Description | Eduniti - Physics by Mohit Goenka (IIT Kharagpur) is a channel to provide True Physics Content which are to the point and Time Efficient for IIT JEE Main | NEET | JEE Advanced |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/edunitimg |
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 8 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 10:29 | 162,866 | +193 |
| 1 Sept 2026, 06:56 | 162,673 | +264 |
| 31 Aug 2026, 03:36 | 162,409 | +143 |
| 30 Aug 2026, 01:04 | 162,266 | +6 |
| 29 Aug 2026, 01:43 | 162,260 | -41 |
| 28 Aug 2026, 04:46 | 162,301 | -25 |
| 27 Aug 2026, 07:04 | 162,326 | +17 |
| 26 Aug 2026, 03:42 | 162,309 | -43 |
| 25 Aug 2026, 04:14 | 162,352 | -70 |
| 24 Aug 2026, 00:54 | 162,422 | +45 |
| 22 Aug 2026, 05:54 | 162,377 | +84 |
| 20 Aug 2026, 22:54 | 162,293 | +208 |
| 19 Aug 2026, 20:38 | 162,085 | -52 |
| 18 Aug 2026, 22:34 | 162,137 | -27 |
| 17 Aug 2026, 19:15 | 162,164 | -16 |
| 16 Aug 2026, 19:13 | 162,180 | -30 |
| 15 Aug 2026, 03:55 | 162,210 | +65 |
| 13 Aug 2026, 18:15 | 162,145 | +74 |
| 12 Aug 2026, 17:18 | 162,071 | +27 |
| 11 Aug 2026, 15:41 | 162,044 | first reading |
145 posts held, back to 1 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 57 pages of Telegram’s post history, 20 posts per page.
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 2 September 2026 |
|---|---|
| Posts held | 145 (1 August 2026 – 2 September 2026) |
| Views total | 1,587,940 |
| Reactions total | 11,155 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 13:33 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.
Lifetime counters from Telegram’s own channel header, read 2 September 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.
11,801 reactions across 144 posts, in 7 distinct kinds. The most used accounts for 68.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8,080 | 68.5% | |
| ❤🔥 | 1,345 | 11.4% | |
| 🔥 | 840 | 7.12% | |
| 👍 | 540 | 4.58% | |
| 😍 | 351 | 2.97% | |
| 🙏 | 324 | 2.75% | |
| 👌 | 321 | 2.72% |
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 144 of the 145 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 11,801 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 145 most recent posts we hold, published 1 August 2026 to 2 September 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.
You all have way much potential and you can do a lot every single day You just need to be focused, should have every day plan and inner will to execute it There is no doubt that you can do it Bas Karo
❤95👍17❤🔥7🙏3
ARE YOU STILL WASTING TIME IN LONG INEFFECTIVE LIVE CLASSES AND FEAR YOUR SYLLABUS IS WAY TO LAGGING ? 👉1st Round of Syllabus must be done by last to last Nov Mid for JEE ( at least in your 2 strong subjects) and by Dec end for NEET Save your JEE and NEET 2027 👇 🔴Batch Link (Take Now) - CLICK #eraoftruelearning #learnlikeneverbefore
❤61👌2🔥2
I can see many Droppers making same mistakes they did last time Sudhar Jao aur structured, disciplined manner mein kaam karo
❤352🙏74👍29👌23❤🔥21🔥7😍6
September has started, ab extreme focus chahiye humko You can count solved ex, sheets, Dpps or PYQs in these 1500Q - but minimum 1500Q, zyada hai to aur acha hai
❤153❤🔥25👍14👌2🔥2
https://www.youtube.com/shorts/hgIM936dWiM
❤37🔥5❤🔥2
Solve these 16Q on a timer of 35 Min 🔥 #eraoftruelearning #learnlikeneverbefore
🔥24❤7🙏3
Unmatchable and effective discussions !
❤24
https://www.youtube.com/watch?v=Yb-B-GEMIfc
❤21
Save your JEE and NEET 2027 👇 🔴Batch Link (Take Now) - CLICK #eraoftruelearning #learnlikeneverbefore
❤50👌1
Speechless Execution 🔥 Once read all texts on above image One aspirant uses some pyq book/app for solving and one uses our PDFs and video discussions, of course in the long term learning growth is much higher in 2nd case Nothing could be better than this ever So Karo bas #eraoftruelearning #learnlikeneverbefore
🔥85❤10❤🔥7🙏3👍2👌1😍1
Sab log karo par Droppers especially ache se karo and dont repeat mistakes you did the first time I am talking to both JEE and NEET 2027 aspirants who took drop. It could be 1st or even 2nd drop Mohit Sir ❤️
❤296❤🔥40🙏17👍10👌4🔥2
Now that's how you do it So proud of Edunitians for exemplary execution 🔥🔥🔥 Physics PYQs yahin se karna hai bas #eraoftruelearning #learnlikeneverbefore
❤70❤🔥2👌1😍1🙏1
Showing the 12 most recent of 145 posts we hold for @edunitimg. 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.
@edunitimg edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 1,362,317 of 1,629,571 entries 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.
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.
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.
Read from Telegram’s recommendation API, most recently 12 August 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.
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.
This channel appears in 29 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.
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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“Eduniti for Physics” (@edunitimg), 162,866 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/edunitimg.
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.