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 10 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 44 days, net +264. 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 26,567–26,911 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
19 Sept 2026, 03:40
26,871
+16
16 Sept 2026, 20:59
26,855
+19
14 Sept 2026, 23:59
26,836
-2
13 Sept 2026, 08:57
26,838
+3
11 Sept 2026, 11:17
26,835
+12
8 Sept 2026, 17:38
26,823
+4
5 Sept 2026, 14:17
26,819
-6
3 Sept 2026, 15:15
26,825
+11
2 Sept 2026, 09:53
26,814
+5
1 Sept 2026, 09:48
26,809
+7
31 Aug 2026, 12:36
26,802
+20
30 Aug 2026, 10:27
26,782
+23
29 Aug 2026, 09:12
26,759
+12
27 Aug 2026, 07:25
26,747
-1
26 Aug 2026, 06:54
26,748
+6
25 Aug 2026, 04:23
26,742
+6
24 Aug 2026, 01:43
26,736
-2
22 Aug 2026, 07:38
26,738
+12
19 Aug 2026, 23:33
26,726
+4
18 Aug 2026, 20:34
26,722
first reading
Engagement
21 posts held, back to 28 January 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.68%
avg views ÷ 26,871 subscribers
Avg views / post
720
1 post measured
Reaction rate
0.833%
reactions ÷ views · ER floor
Posts in window
1
of 21 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
21 (28 January 2026 – 28 August 2026)
Views total
720
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:00 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
18s
Average length
18s
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.
Reaction mix
128 reactions across 20 posts, in 3 distinct kinds. The most used accounts for 94.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
121
94.5%
👍
6
4.69%
🔥
1
0.781%
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 20 of the 21 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 128 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 28 January 2026 to 28 August 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.
If I wanted to get my opportunity to interview at Google or Amazon for SDE roles in the next 6-8 months…
Here’s exactly how I’d approach it (I’ve taught this to 100s of students and followed it myself to land interviews at 3+ FAANGs):
► Step 1: Learn to Code (from scratch, even if you’re from non-CS background)
I helped my sister go from zero coding knowledge (she studied Biology and Electrical Engineering) to lan…
Microsoft Summer Internships 2026 — Multiple Roles Open, Stipend Up To ₹1 Lakh/Month
Microsoft has opened multiple internship positions across India, not limited to one role.
Roles currently open include:
Software Engineering Intern (on-site, 8-12 weeks)
Data Science Intern (Research, Applied & Data Sciences, multiple locations)
Explore Microsoft (for 1st/2nd year students, 8 weeks)
Various other technical and produc…
7 Underrated WhatsApp channels which will teach you life lessons:
48 Laws of Power: https://whatsapp.com/channel/0029Vb5vcEm1CYoM5rd6Ob3f
Broken by Books: https://whatsapp.com/channel/0029VbAi7WJId7nFFfTeTm21
Alpha Mode: https://whatsapp.com/channel/0029VbAV7CRId7nNluCbrb20
Psychology: https://whatsapp.com/channel/0029Vb62WgKG8l5KlJpcIe2r
Science Facts: https://whatsapp.com/channel/0029Vb5m9UR6xCSQo1YXTA0O
Lear…
Manifesting remote work that pays in USD 👇
1/ SkipTheDrive:
https://www.skipthedrive.com
2/ Built In:
https://builtin.com
3/ Underdog:
https://underdog.io
4/ Jobgether:
https://jobgether.com
5/ Wellfound (AngelList):
https://wellfound.com
Google Apprenticeship alert 🚨
Link 🔗
https://www.google.com/about/careers/applications/jobs/results/123243602355593926-software-application-development-apprenticeship
If you’re a student, graduate, or someone looking for a career switch, read this.
Most people spend months watching random YouTube videos and still don’t become job-ready.
Instead, learn in a structured offline classroom.
📌 Data Analytics with GenAI
📌 Python + SQL + Power BI
📌 6-Month Program
📌 1:1 Mentorship
📌 Job Assistance
📍Now available in your city.
Seats are limited.
👉 Register Here: https://lp.pwskills.c…
Aaj hi ek certified Hackar bano!💻
Shuru se saari cheeze seekho bilkul basic se!!
PW skills leke aaya h certified Ethical Hacking ka course!!
Isme milega :
✅ Hands on Practice
✅ LIVE Hacking Labs
✅ Certificate after Completion
Sirf Rs 4999 mai
Abhi enroll karo HACK30 Coupon code use karke 30% OFF milega!
Enroll NOW : https://pwskills.com/web-development/certified-ethical-hacking-course-035473/?source=pwskills.com…
Few common problems with lot of resumes:
1. 𝐈𝐫𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧.
I understand that there are a lot of achievements that we are personally proud of (things like represented school/clg in XYZ competition or school head/class head etc), but not all of them are relevant to technical roles. As a fresher, try to focus more on technical achievements rather than managerial ones.
2. 𝐋𝐚𝐜𝐤 𝐨𝐟 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬.
Many resumes…
❤12
Showing the 12 most recent of 21 posts we hold for @FAANGJob. 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.
Mentions
Named by 2 registered channels — 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@FAANGJob named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@stockmarketingfun named in 10 posts, 8 August 2026 – 28 August 2026
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.
Jobs | Internships | Placement | Interviews @getjobss · 113,409#1
Read from Telegram’s recommendation API, most recently 11 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.
Jobs | Internships | Placement | Interviews @getjobss · 113,409 Telegram ranks this channel #4 of 83 here — alongside 82 others — read 14 August 2026
Software Developer Jobs & IT Internships @internshiptojobs · 48,447 Telegram ranks this channel #6 of 84 here — alongside 83 others — read 26 August 2026
Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning @aichads · 22,928 Telegram ranks this channel #7 of 87 here — alongside 86 others — read 19 September 2026
Job Interview Preparation - Remote Work @jobinterviewsprep · 27,626 Telegram ranks this channel #11 of 72 here — alongside 71 others — read 10 September 2026
Data Analyst Jobs @jobs_SQL · 91,363 Telegram ranks this channel #12 of 86 here — alongside 85 others — read 17 August 2026
PrepNPlaced @dataanalyticsbuddy · 27,254 Telegram ranks this channel #13 of 88 here — alongside 87 others — read 11 September 2026
Buddee @linktopusjobupdates · 66,708 Telegram ranks this channel #17 of 79 here — alongside 78 others — read 20 August 2026
Jobs (IT | Data Science | Coding | Tech) @Jobs_IT_Data_Science_Coding_Tech · 27,452 Telegram ranks this channel #25 of 83 here — alongside 82 others — read 10 September 2026
Thedataschoool @thedataschoool · 42,397 Telegram ranks this channel #27 of 85 here — alongside 84 others — read 29 August 2026
CloudyML - Data Science & Analytics @cloudymlofficial · 47,829 Telegram ranks this channel #29 of 88 here — alongside 87 others — read 26 August 2026
OFLATEST - Job Updates @oflatestblog · 146,374 Telegram ranks this channel #35 of 89 here — alongside 88 others — read 12 August 2026
DotAware: Off-Campus Tech Jobs 👨💻 @dot_aware · 42,799 Telegram ranks this channel #36 of 80 here — alongside 79 others — read 28 August 2026
InternFreak @internfreak · 58,402 Telegram ranks this channel #37 of 82 here — alongside 81 others — read 22 August 2026
Jobs Gallery @JobsGallery · 25,198 Telegram ranks this channel #38 of 68 here — alongside 67 others — read 14 September 2026
Krishan Kumar - Jobs & Internships Updates @jobs_and_internships_updates · 197,540 Telegram ranks this channel #41 of 82 here — alongside 81 others — read 11 August 2026
Jobs | Internship | Off Campus Placement @Jobs_Internship_Campus_Placement · 31,748 Telegram ranks this channel #43 of 81 here — alongside 80 others — read 5 September 2026
Apna College @aman_dhattarwal · 34,378 Telegram ranks this channel #46 of 51 here — alongside 50 others — read 3 September 2026
Finance, Investing & Stock Marketing @stockmarketinginsights · 25,941 Telegram ranks this channel #52 of 78 here — alongside 77 others — read 13 September 2026
Generative AI @generativeai_gpt · 30,777 Telegram ranks this channel #54 of 82 here — alongside 81 others — read 7 September 2026
AI Prompts | ChatGPT | Google Gemini | Claude @aiindi · 58,779 Telegram ranks this channel #58 of 85 here — alongside 84 others — read 23 August 2026
Programing Resources: Python - Java - R - SQL - Javascript - C++ @the_programming_girls · 30,491 Telegram ranks this channel #60 of 79 here — alongside 78 others — read 7 September 2026
Data Science Projects @pythonspecialist · 56,284 Telegram ranks this channel #60 of 89 here — alongside 88 others — read 23 August 2026
MS Excel for Data Analysis @excel_analyst · 72,703 Telegram ranks this channel #61 of 84 here — alongside 83 others — read 20 August 2026
Data Science & Machine Learning @DataScienceInterviews · 27,687 Telegram ranks this channel #64 of 86 here — alongside 85 others — read 10 September 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Google Jobs - FAANG Companies • Facebook • Microsoft • Amazon • Netflix • Apple” (@FAANGJob), 26,871 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/FAANGJob.
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.