Get the strongest Telegram proxies here ! ☇
Collection of MTProto Proxies for Telegram.☀️
Desktop v1.2.18+
macOS v3.8.3+
Android v4.8.8+
X Android v0.20.10.931+
iOS v4.8.2+
Created
20 July 2018 — measured — dated from the channel’s first post
Other / unclassifiable — 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 64% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 12 other registered channels. They sit inside a group of 464 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 8 of the 5,382 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 16,883 comparable posts for this entry, running 19 November 2022 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 464, the earliest publisher we hold is @akharinkhabar. That is a statement about our reading window, not a claim of authorship.
Views and reactions moved apart
On 26 of the 943 posts we watched over 30 days, the view counter climbed while the reaction counter stayed where it was — by more than this channel’s own reactions-per-view rate can account for. That rate, measured on this entry, is 0.0075 reactions per view.
Each interval, as we read it — views and reactions before and after
Expected is the view gain multiplied by this channel’s own prior reactions-per-view rate over the same post — not a corpus average, so a channel whose audience never reacts is compared only against itself. Every interval is credited in the direction that makes the observation harder to record, never easier: t.me renders views and reactions to three significant figures above ~1,000, so a raw delta can be a rendering step. Every delta below is at least 4 x the coarser reading's step, the view gain is discounted by a full step and the reaction gain credited with one. Measured by tgregister velocity.py (our own t.me/s/ readings).
What this does and does not say. It says the two counters moved apart, by more than rounding and more than this channel’s own history predicts. It asserts no cause. Views arriving from outside Telegram, an embedded or forwarded copy of the post, and a burst of readers who simply do not react all produce this shape. This detector has recorded very few observations across the whole register, and its precision has not been measured; treat it as an anomaly worth looking at, not as a finding.
Recorded under the keys clone_copy · clone_mutual · clone_source · view_reaction_decoupling, last confirmed 6 October 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 463 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.
413 more channels are in this same group but not listed individually here.
Growth
37 measurements spanning 59 days, net -219,639. 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 2,332,442–2,617,973 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)
Subscribers
Change
4 Oct 2026, 16:16
2,365,388
-25,371
26 Sept 2026, 10:59
2,390,759
-22,637
19 Sept 2026, 13:17
2,413,396
-8,059
17 Sept 2026, 02:55
2,421,455
-6,331
15 Sept 2026, 02:21
2,427,786
-5,472
13 Sept 2026, 09:19
2,433,258
-5,982
11 Sept 2026, 13:20
2,439,240
-8,775
8 Sept 2026, 20:37
2,448,015
-11,055
5 Sept 2026, 16:40
2,459,070
-7,650
3 Sept 2026, 19:00
2,466,720
-4,718
2 Sept 2026, 11:28
2,471,438
-4,569
1 Sept 2026, 08:08
2,476,007
-4,076
31 Aug 2026, 07:27
2,480,083
-4,268
30 Aug 2026, 05:04
2,484,351
-3,541
29 Aug 2026, 07:33
2,487,892
-4,794
28 Aug 2026, 03:54
2,492,686
-3,392
27 Aug 2026, 06:16
2,496,078
-2,420
26 Aug 2026, 08:47
2,498,498
-2,949
25 Aug 2026, 06:42
2,501,447
-2,774
24 Aug 2026, 08:47
2,504,221
first reading
Engagement
27,586 posts held, back to 20 July 2018 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 3,932 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.48%
avg views ÷ 2,365,388 subscribers
Avg views / post
34,900
1,078 posts measured
Reaction rate
0.853%
reactions ÷ views · ER floor
Posts in window
1,078
of 27,586 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 6 October 2026
Posts held
27,586 (20 July 2018 – 6 October 2026)
Views total
37,635,241
Reactions total
321,174
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Oct 2026, 21:10 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
Photos
≈9,750
Videos
≈4,140
Links
≈11,200
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.
Video runtime
1h 39m
Average length
34s
Measured directly from 173 videos 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 944 of this channel’s own posts over the last 30 days (32 of the 24-hour readings behind this are interpolated, not measured directly): across 887 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 4.2 hours of being posted; a typical post has already reached 26.8% of its 24-hour view count within the first hour, and 70.6% within the first six; the median 24-hour reach across those posts is 30,400 views — 1.29% of this channel’s own subscriber count (90th percentile 37,300).
8 most recently posted, with a view-velocity reading
60 minutes: 7,836 interp. → 3.0 hours: 15,500still climbing at last reading
not yet at 24h
64 minutesprovisional — final view count still climbing
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
292,196 reactions across 1,000 posts, in 18 distinct kinds. The most used accounts for 37.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
108,370
37.1%
👍
65,656
22.5%
❤
64,633
22.1%
😭
13,570
4.64%
🖕
13,040
4.46%
👎
7,612
2.61%
👏
6,753
2.31%
🔥
3,290
1.13%
😨
2,762
0.945%
😡
2,145
0.734%
💯
1,534
0.525%
🤗
665
0.228%
🫡
572
0.196%
🙏
452
0.155%
🤝
340
0.116%
😘
326
0.112%
😇
311
0.106%
✍
165
0.056%
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 1,000 of the 1,000 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 292,196 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 9 September 2026 to 6 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.
براى خودتان يک دوست پيدا كنيد. يک نفر كه تا ابد بماند. يک نفر كه حالتان، جانتان، يارتان، بد و خوبتان را، همه را با هم بخواهد. يک نفر كه حالش را بپرسيد، خوابش را ببينيد...
آدم ها بايد غير از عشق و خانواده، يک نفر را داشته باشند؛ که همهی چيزهايى كه نمیشود به آن دو قبلى گفت، به او گفت. يک نفر بايد باشد كه شما را از چشمهايتان هم بشناسد.
هر آدمى بايد يک نفر را داشته باشد كه خيلى دوستش داشته باشد، يک نفر را دوست بداريد …
بهتر است که هرگز تمامی روحت را
برای یک مرد، که چیزی از عشق نمیداند
عریان نکنی! تحملِ تجاوز به روح،
از هضمِ تجاوز به جسم،
صدها برابر بدتر است...!
@NPROXY
به این باور رسیدهام که چیزی را نمیتوانی جبران کنی و دوباره درست بگذاری سرجایش.
حفرههای زندگیات همیشگی هستند.
تو باید در اطرافش رشد کنی؛ مثل ریشه های درخت که از اطراف سیمان بیرون میزنند؛ باید خودت را از لای شیارها بیرون بکشی...
@NPROXY
روزگار همیشه بر یک قرار نمیماند؛
روز و شب دارد،
روشنی دارد،
تاریکی دارد،
کم دارد،
بیش دارد،
دیگر چیزی از زمستان باقی نمانده،
تمام می شود بهار میآید...
@NPROXY
🌺✍چه زيبا گفت فروغ فرخزاد؛
اگر چادر به سر داری ،
ولي از زير آن چادر
به يک ديوانه خنديدی
به انسان بودنت شک کن!
اگر قاری قرآنی ،
ولي در درکِ آياتش
دچارِ شک و ترديدی ،
به انسان بودنت شک کن!
اگر گفتی خدا ترسي ،
ولي از ترس اموالت
تمام شب نخوابيدي ،
به انسان بودنت شک کن!
اگر هر ساله در حجّي ،
ولي از حال همنوعت
سوالي هم نپرسيدي ،
به انسان بودنت شک کن!
اگر مرگِ کسی ديدي ،
ولي قدرِ سَري سوزن
ز جاي خود …
من وقتی همه قسطامو دادم و تازه میخوام شروع کنم از زندگی لذت ببرم =))
@NPROXY
🤣267😭74👍15❤10👎3🤗1
Showing the 12 most recent of 27,586 posts we hold for @NPROXY. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 17 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
17
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
17
vacant every time we have ever looked
@NPROXY named 17 handles 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.
@s_ali_ft named in 18 posts, 8 August 2026 – 8 August 2026
@old_buy_ali named in 14 posts, 8 August 2026 – 8 August 2026
@pawsog_bot named in 3 posts, 8 August 2026 – 8 August 2026
@xeservices_bot named in 2 posts, 8 August 2026 – 8 August 2026
@supermind101 named in 2 posts, 8 August 2026 – 8 August 2026
@mnvababam named in 1 post, 23 September 2026 – 23 September 2026
@nooravpn1 named in 1 post, 8 August 2026 – 8 August 2026
@khadematvpn named in 1 post, 8 August 2026 – 8 August 2026
@express_support2 named in 1 post, 8 August 2026 – 8 August 2026
@rezayat_ali_joon named in 1 post, 8 August 2026 – 8 August 2026
@ro_department named in 1 post, 8 August 2026 – 8 August 2026
@donut_navigator named in 1 post, 8 August 2026 – 8 August 2026
@sozan0822 named in 1 post, 8 August 2026 – 8 August 2026
@sportmeme named in 1 post, 8 August 2026 – 8 August 2026
@daraad_dollari named in 1 post, 8 August 2026 – 8 August 2026
@v2_suport named in 1 post, 8 August 2026 – 8 August 2026
@max_v2rayng named in 1 post, 8 August 2026 – 8 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.
Read from Telegram’s recommendation API, most recently 7 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.
آها میم | Aha Meme @AhaMeme · 21,134 Telegram ranks this channel #1 of 74 here — alongside 73 others — read 23 September 2026
💲درآمد دلاری در۳روز💲 @dollarsazbash · 28,171 Telegram ranks this channel #1 of 65 here — alongside 64 others — read 9 September 2026
V2RayTz | کانفیگ @V2Ray_Tz · 272,902 Telegram ranks this channel #1 of 66 here — alongside 65 others — read 2 September 2026
تندخوانی و حافظه قوی🧠 @alireza_tajabadi · 51,676 Telegram ranks this channel #1 of 58 here — alongside 57 others — read 25 August 2026
اخبار فوری مملکت | نیوزبین @newsbin · 1,262,869 Telegram ranks this channel #1 of 78 here — alongside 77 others — read 8 August 2026
تبلیغات تلگرام | تبلیغات پروکسی @arzamani_com · 56,328 Telegram ranks this channel #2 of 42 here — alongside 41 others — read 29 September 2026
GHAZAL V2ry | رایگان @V2ry_Proxy · 306,765 Telegram ranks this channel #2 of 69 here — alongside 68 others — read 25 August 2026
CAPOIT / اینترنت آزاد @Capoit · 84,774 Telegram ranks this channel #2 of 66 here — alongside 65 others — read 17 August 2026
کریپتو گلکسی | 𝗦𝗜𝗚𝗡𝗔𝗟 @Galaxy_XSignal · 95,024 Telegram ranks this channel #2 of 66 here — alongside 65 others — read 14 August 2026
لینکدونی تهران،مشهد،شیراز،و... @LinkdoniXe · 267,249 Telegram ranks this channel #2 of 72 here — alongside 71 others — read 10 August 2026
𝖳𝖱𝗂𝗅𝗅𝗂𝗈𝗇 𝖦𝖺𝗆𝖾 @Trilion_Games · 22,273 Telegram ranks this channel #3 of 59 here — alongside 58 others — read 20 September 2026
متخصص تلگرام | تبلیغات پروکسی @Mrtablighatchii · 36,305 Telegram ranks this channel #3 of 55 here — alongside 54 others — read 17 September 2026
Proxifier | Proxy mtproto @Proxy_fier · 56,609 Telegram ranks this channel #4 of 76 here — alongside 75 others — read 24 August 2026
Olivex Forex Signals @Olivexforex · 433,507 Telegram ranks this channel #4 of 58 here — alongside 57 others — read 19 August 2026
👑Kafee Proxy V2Box👑 @proxy_kafee · 139,754 Telegram ranks this channel #4 of 68 here — alongside 67 others — read 13 August 2026
Proxy hub | پروکسی ملی @proxyhubs · 78,811 Telegram ranks this channel #5 of 67 here — alongside 66 others — read 8 September 2026
Olivex Crypto Signals @Olivexcrypto · 817,354 Telegram ranks this channel #5 of 56 here — alongside 55 others — read 19 August 2026
Petros Proxy | پروکسی @PetrosProxy · 359,015 Telegram ranks this channel #5 of 76 here — alongside 75 others — read 18 August 2026
v2rayNG فیلترشکن کانفیگ ویتوری @proxy_Shadowsocks · 50,708 Telegram ranks this channel #6 of 43 here — alongside 42 others — read 2 October 2026
Arash TraDEX @arashtradex · 47,107 Telegram ranks this channel #6 of 41 here — alongside 40 others — read 9 September 2026
کانال رسمی وی پاری | Wepari iran @weparig · 77,067 Telegram ranks this channel #6 of 62 here — alongside 61 others — read 2 September 2026
Proxy Explorer پروکسی اکسپلور @filterraygan · 63,600 Telegram ranks this channel #6 of 71 here — alongside 70 others — read 20 August 2026
پروکسی دائمی تلگرام(تیم اصلی) @P1000Y · 220,963 Telegram ranks this channel #6 of 66 here — alongside 65 others — read 12 August 2026
کانفیگ وی تو ری ویتوری نیم بها پروکسی فیلترشکن رایگان سرور وی پی ان ترید وایرگارد vpn v2rayng vless vmess l2tp wireguard @meliproxyy · 228,157 Telegram ranks this channel #6 of 74 here — alongside 73 others — read 11 August 2026
This channel appears in 549 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.
Domains linked from posts
23 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 4 October 2026 — this
entry's latest reading, not the date you are reading this.
“پروکسی ملی | Nova Proxy” (@NPROXY), 2,365,388 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/NPROXY.
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.