Job listings — 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 9 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 why it has no browse page of its own yet.
Growth
32 measurements spanning 56 days, net -488. 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 42,551–43,185 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
2 Oct 2026, 14:39
42,624
-175
18 Sept 2026, 15:39
42,799
-16
14 Sept 2026, 15:40
42,815
-14
13 Sept 2026, 02:37
42,829
-10
11 Sept 2026, 07:17
42,839
-31
8 Sept 2026, 13:58
42,870
-29
5 Sept 2026, 11:00
42,899
+3
3 Sept 2026, 10:58
42,896
-4
2 Sept 2026, 03:48
42,900
-16
1 Sept 2026, 05:38
42,916
-10
31 Aug 2026, 02:45
42,926
-11
30 Aug 2026, 02:03
42,937
-12
29 Aug 2026, 03:27
42,949
-15
28 Aug 2026, 00:27
42,964
-3
26 Aug 2026, 21:58
42,967
+8
25 Aug 2026, 23:25
42,959
-15
24 Aug 2026, 20:34
42,974
-26
23 Aug 2026, 07:12
43,000
-32
21 Aug 2026, 15:15
43,032
-7
20 Aug 2026, 11:14
43,039
first reading
Engagement
389 posts held, back to 4 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 116 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.90%
avg views ÷ 42,624 subscribers
Avg views / post
810
148 posts measured
Reaction rate
0.095%
reactions ÷ views · ER floor
Posts in window
148
of 389 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 51 of 148 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 October 2026
Posts held
389 (4 August 2026 – 5 October 2026)
Views total
119,947
Reactions total
45
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Oct 2026, 15:56 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
≈759
Videos
≈6
Links
≈13,700
Lifetime counters from Telegram’s own channel header, read 6 October 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.
Reaction mix
113 reactions across 97 posts, in 5 distinct kinds. The most used accounts for 86.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
98
86.7%
👍
11
9.73%
👏
2
1.77%
🔥
1
0.885%
😁
1
0.885%
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 123 of the 389 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 113 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 389 most recent posts we hold, published 4 August 2026 to 5 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.
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Showing the 12 most recent of 389 posts we hold for @dot_aware. 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.
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.
Read from Telegram’s recommendation API, most recently 28 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.
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.
Arun Chauhan | AI, Career & Tech @arunchauhanofficial · 54,659 Telegram ranks this channel #6 of 71 here — alongside 70 others — read 23 August 2026
Apuzz @apuzzindia · 20,049 Telegram ranks this channel #7 of 70 here — alongside 69 others — read 28 September 2026
OceanOfJobs @OceanOfJobs · 20,226 Telegram ranks this channel #7 of 69 here — alongside 68 others — read 28 September 2026
Go Careers 🚀 @gocareers · 79,090 Telegram ranks this channel #7 of 77 here — alongside 76 others — read 18 August 2026
OffCampus Phodenge : Aman Chowdhury 😊❤️ @offcampus_phodenge · 64,676 Telegram ranks this channel #8 of 76 here — alongside 75 others — read 21 August 2026
Jobs and Internships Updates @jobs_and_internships_updates1 · 20,906 Telegram ranks this channel #9 of 79 here — alongside 78 others — read 25 September 2026
InternFreak @internfreak · 58,241 Telegram ranks this channel #9 of 82 here — alongside 81 others — read 22 August 2026
Kushal Vijay - YouTube @vijaykushal · 55,832 Telegram ranks this channel #10 of 69 here — alongside 68 others — read 23 August 2026
TechUprise - Exclusive Updates @TechUprise_Updates · 50,689 Telegram ranks this channel #11 of 59 here — alongside 58 others — read 25 August 2026
Tech Program Mind @TechProgramMind_official · 40,289 Telegram ranks this channel #12 of 83 here — alongside 82 others — read 30 August 2026
Way2Freshers @way2freshers · 110,851 Telegram ranks this channel #14 of 92 here — alongside 91 others — read 14 August 2026
Abhinav Awasthi - Coding Resources & Opportunities 🚀 @cpabhinav · 21,483 Telegram ranks this channel #16 of 57 here — alongside 56 others — read 23 September 2026
Krishan Kumar - Jobs & Internships Updates @jobs_and_internships_updates · 196,321 Telegram ranks this channel #17 of 82 here — alongside 81 others — read 11 August 2026
Lets Code @offcampusjobsupdatess · 38,494 Telegram ranks this channel #24 of 73 here — alongside 72 others — read 31 August 2026
OffCampusJobs4u.com- India's #1 Off Campus Job Portal for Freshers. @offcampusjobs4u · 67,103 Telegram ranks this channel #25 of 90 here — alongside 89 others — read 20 August 2026
Placementkit - OffCampus/OnCampus Placement Jobs @placementkit · 131,568 Telegram ranks this channel #26 of 92 here — alongside 91 others — read 13 August 2026
OFLATEST - Job Updates @oflatestblog · 145,108 Telegram ranks this channel #29 of 89 here — alongside 88 others — read 12 August 2026
Career Growth @HelpEachOtherToGetJob · 23,432 Telegram ranks this channel #31 of 85 here — alongside 84 others — read 17 September 2026
Jobs/Internship All Batches @learnnew3 · 48,010 Telegram ranks this channel #34 of 74 here — alongside 73 others — read 26 August 2026
Freshershunt - Off Campus Drive Updates @freshershunt · 278,427 Telegram ranks this channel #34 of 84 here — alongside 83 others — read 10 August 2026
CRACK IT - off campus drives 2024/2025 batch @crackit_jobs · 61,222 Telegram ranks this channel #36 of 80 here — alongside 79 others — read 21 August 2026
Merademy @merademy · 76,232 Telegram ranks this channel #36 of 93 here — alongside 92 others — read 19 August 2026
LMT Job Updates 👨💻📢 @LMTPlacements · 54,096 Telegram ranks this channel #37 of 59 here — alongside 58 others — read 23 August 2026
ENGINEER JOBS INDIA @engineerjobsindia · 57,763 Telegram ranks this channel #37 of 89 here — alongside 88 others — read 22 August 2026
This channel appears in 36 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 2 October 2026 — this
entry's latest reading, not the date you are reading this.
“DotAware: Off-Campus Tech Jobs 👨💻” (@dot_aware), 42,624 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/dot_aware.
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.