🚀 Upgrade Your LinkedIn Premium Without Paying Full Price Looking to grow your career, expand your network, or boost your business? We've got affordable LinkedIn Premium plans to help you achieve more. 🎖 1-Year Career Plan – ₹5,500 🎖 1-Year Business Plan – ₹7,000 ✅ Email ID Required for Activation ✅ Fast Activation ✅ Safe & Reliable Service ✅ Trusted by 1000+ Customers 📩 Contact: @LinkedInAdmin 📂 Service Proofs:…

Channel
LinkedIn Premium Dukan
@PremiumDukan
On this record: Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
15,397subscribers
-57 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001246477726 |
|---|---|
| Type | Channel |
| Username | @PremiumDukan |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/PremiumDukan |
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 6 other registered channels, 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.
@EngineeringDesigners · Channel5,584 subscribers@Engineering_Ebooks
@Engineering_Ebooks1 · Channel4,413 subscribers@Engineering_Ebooks
@Engineering_Ebooks · Channel3,511 subscribersLearnVern™
@LearnVernOfficial · Channel1,313 subscribers@BooksHouse
@BooksHouse · Channel1,182 subscribers@ProgrammingEbookz
@ProgrammingEbookz · Channel612 subscribers
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 01:25 | 15,397 | -7 |
| 12 Aug 2026, 01:02 | 15,404 | -7 |
| 11 Aug 2026, 03:31 | 15,411 | -8 |
| 10 Aug 2026, 06:44 | 15,419 | -5 |
| 9 Aug 2026, 09:51 | 15,424 | -11 |
| 8 Aug 2026, 07:19 | 15,435 | -17 |
| 7 Aug 2026, 03:48 | 15,452 | -2 |
| 6 Aug 2026, 11:00 | 15,454 | no change |
| 6 Aug 2026, 10:57 | 15,454 | first reading |
Engagement
17 posts held, back to 22 May 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.85%
- avg views ÷ 15,397 subscribers
- Avg views / post
- 286
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 17 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 7 August 2026 |
|---|---|
| Posts held | 17 (22 May 2026 – 7 August 2026) |
| Views total | 571 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 01:25 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.
Reaction mix
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 2 of the 17 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 22 May 2026 to 7 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.
Recent posts
🔥 LinkedIn Premium Plans 🔥 👉 New Users Only: 🆕 3 Months Career – ₹599 🆕 2 Months Sales Navigator Core – ₹350 📸 Proofs Available: https://t.me/LINKEDINPREMlUM 📩 Contact: @LinkedInAdmin
[SOLD] 2 More LinkedIn 12 Months Career Premium (75% Off) ❤ Get Your Premium Plan In Cheap Rate 👉 DM Now : @LinkedInAdmin
❤1
🚀 Get 12 Months LinkedIn Premium at Unbeatable Prices! 💼 Want to unlock premium networking, job opportunities, and business tools without paying the full price? 🔥 12 Months Plans Available : ✅ Career Plan – Starting at ₹999 ✅ Business Plan – Starting at ₹1199 Why choose me? ✔ Instant Activation ✔ Genuine Redeem Links ✔ Trusted Service ✔ Hundreds of Happy Customers ✔ No Email ID Required ✔ No Password Required 📸 P…
[SOLD] 1 More LinkedIn 12 Months Business Premium (75% Off) 🔁 Repeated client 🎖 Review: t.me/LINKEDINPREMlUM/83 ❤ Get Your Premium Plan In Cheap Rate 👉 DM Now : @LinkedInAdmin
Sold 1 More 🥳 Google Gemini Pro — 18 Months 🎖 Review : t.me/LINKEDINPREMlUM/294 » DM To Get Yours: @LinkedInAdmin
[SOLD] 1 More LinkedIn 12 Months Career Premium (75% Off) 🔁 Repeated client 🎖 Review: t.me/LINKEDINPREMlUM/250 ❤ Get Your Premium Plan In Cheap Rate 👉 DM Now : @LinkedInAdmin
[SOLD] 1 More LinkedIn 12 Months Career Premium (75% Off) 🎖 Review: t.me/LINKEDINPREMlUM/290 ❤ Get Your Premium Plan In Cheap Rate 👉 DM Now : @LinkedInAdmin
[SOLD] 1 LinkedIn 12 Months Career Premium (75% Off) ❤ Get your premium plan DM Now : @LinkedInAdmin
[SOLD] 1 LinkedIn 12 Months Career Premium (75% Off) ❤ Get your premium plan DM Now : @LinkedInAdmin
[SOLD] 1 LinkedIn 12 Months Career Premium (75% Off) » He bought google gemini pro previously 🎖 Review: t.me/LINKEDINPREMlUM/280 ❤ Get your premium plan DM Now : @LinkedInAdmin
🔥 LinkedIn Premium Plans at Lowest Rates 🔥 ✅ Career Premium ✅ Business Premium ✅ Sales Navigator 👉 All Users: 💼 2 Months Business – ₹1,650 💼 2 Months Career – ₹1,550 👉 New Users Only: 🆕 3 Months Career – ₹599 🆕 2 Months Sales Navigator Core – ₹350 🎯 Special 12-Month Premium Links Pay only 25% of the original subscription cost! 🔹 Career – ₹1,099 🔹 Business – ₹1,499 🔹 Sales Navigator – ₹1,999 ✔ Instant Setup ✔ Tr…
❤1
Showing the 12 most recent of 17 posts we hold for @PremiumDukan. 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 — 36,213 of 1,169,250entries 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.
@MECHANICAL_ENGINEERING_EBOOKS · 365 posts@BooksHouse
@BooksHouse · 1,1823 posts@Engineering_Ebooks
@Engineering_Ebooks · 3,5113 posts@Engineering_Ebooks
@Engineering_Ebooks1 · 4,4133 postsEngineering Designers ™
@EngineeringDesigners · 5,5843 postsLearnVern™
@LearnVernOfficial · 1,3133 posts@ProgrammingEbookz
@ProgrammingEbookz · 6123 postsAdvance Automotive
@AdvanceAutomobile · 31 postMotivational Quotes
@MotivationalWork · 1,6231 post
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 8 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.
@EngineeringDesigners · 5,5845 posts@Engineering_Ebooks
@Engineering_Ebooks1 · 4,4133 posts@BooksHouse
@BooksHouse · 1,1822 postsGovernment Jobs Update
@DailyGovermentJobs · 2,1552 posts@Engineering_Ebooks
@Engineering_Ebooks · 3,5112 postsLearnVern™
@LearnVernOfficial · 1,3132 posts@ProgrammingEbookz
@ProgrammingEbookz · 6122 postsMechanical Engineering
@MECHANICAL_ENGINEERING_EBOOKS · 361 post
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
@PremiumDukan 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.
named in 37 posts, 8 August 2026 – 13 August 2026
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“LinkedIn Premium Dukan” (@PremiumDukan), 15,397 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/PremiumDukan.
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.