Technology — 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 91% 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 the other topics.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
66 measurements spanning 98 days, net +5,581. 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 33,718–40,973 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
12 Nov 2026, 12:01
40,136
+118
10 Nov 2026, 10:11
40,018
+110
8 Nov 2026, 23:41
39,908
+129
7 Nov 2026, 19:10
39,779
+253
6 Nov 2026, 14:49
39,526
+34
5 Nov 2026, 15:26
39,492
+24
4 Nov 2026, 13:39
39,468
+38
3 Nov 2026, 11:08
39,430
+7
2 Nov 2026, 13:16
39,423
+35
1 Nov 2026, 09:49
39,388
+37
31 Oct 2026, 09:56
39,351
+40
30 Oct 2026, 11:50
39,311
+41
29 Oct 2026, 13:59
39,270
+37
28 Oct 2026, 09:37
39,233
+51
27 Oct 2026, 10:50
39,182
+57
26 Oct 2026, 10:20
39,125
+58
25 Oct 2026, 07:00
39,067
+65
24 Oct 2026, 05:18
39,002
+28
23 Oct 2026, 04:39
38,974
+35
22 Oct 2026, 06:10
38,939
first reading
Engagement
26 posts held, back to 20 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 182 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
112.1%
avg views ÷ 40,136 subscribers
Avg views / post
45,000
1 post measured
Reaction rate
0.702%
reactions ÷ views · ER floor
Posts in window
1
of 26 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 7 November 2026
Posts held
26 (20 October 2025 – 7 November 2026)
Views total
45,000
Reactions total
316
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 10:26 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
29
Videos
1
Links
145
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
8,517 reactions across 25 posts, in 20 distinct kinds. The most used accounts for 47.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,031
47.3%
👍
2,137
25.1%
🥰
1,328
15.6%
🔥
512
6.01%
🤔
89
1.04%
🤬
74
0.869%
😁
50
0.587%
😭
43
0.505%
🫡
35
0.411%
😱
31
0.364%
👏
28
0.329%
🥱
28
0.329%
🤯
26
0.305%
🤗
24
0.282%
🤩
24
0.282%
🎉
22
0.258%
😨
15
0.176%
👌
11
0.129%
🕊
6
0.07%
🙏
3
0.035%
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 25 of the 26 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 8,517 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 20 October 2025 to 7 November 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.
Telegram Stars
Stars received
237
across the posts below
Posts paid on
22
of 25 we hold a reading for · 88%
Most on one post
81
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @real5ec1cff. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 26 most recent posts we hold for this entry, published 20 October 2025 to 7 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 1 post held from the last 30 days (100.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
ZygiskNext 1.5.2 正式版
修复某些系统上导致应用崩溃的问题
ZygiskNext 1.5.2 Stable Release
Fixed an issue that caused the app to crash on certain systems.
SHA256: ce50b13fecb9e4456db69ef17b715f7cfbc094004dd9f30f7d6348dfab619a96
real5ec1cff | Github
ZygiskNext 1.4.3 正式版
增加模块崩溃检查,如果模块导致系统崩溃,会尝试找出导致问题的模块并显示在 WebUI 和模块描述中
增加导出 bugreport 功能,增加 action ,可通过 action 或 WebUI 导出并发送 bugreport
提升安全性
WebUI 支持 RTL 布局
更新 WebUI 翻译
ZygiskNext 1.4.3 Stable Release
Added module crash checking. If a module causes a system crash, it will attempt to find the problematic module and display it in the WebUI and module description.
Added bug report export functionality and action. Bug r…
ZygiskNext 1.4.1 正式版
解决 ZN Linker 与某些模块的兼容性问题(参见文档)
解决与光速虚拟机的兼容性问题
WebUI 补充翻译
如果 zygisk 模块无法加载, WebUI 和模块状态会显示错误
ZygiskNext 1.4.1 Stable Release
Resolved compatibility issues between ZN Linker and certain modules (see documentation)
Resolved compatibility issues with VPhoneOS
Supplemented translation of WebUI
If zygisk modules fails to load, the WebUI and module status will display errors.
SHA256: 9bdc393f119c4b3bd…
ZygiskNext 1.4.0 正式版
ZN Linker 支持使用线程本地存储 (TLS) 的模块
修复一个崩溃问题
修复一个检测问题
调整 WebUI 模块列表对齐方式
更新 WebUI 翻译
ZygiskNext 1.4.0 Stable Release
ZN Linker now supports modules using Thread Local Storage (TLS)
Fixed a crash issue
Fixed a detection issue
Adjusted the alignment of the WebUI module list
Updated WebUI translations
SHA256: 97791423c705726478b95c2fb625af29f3899baff1a61e322f0977f0cb1141b1
real5ec1cff | Github
🥰323❤58🔥32👍7🤩5🎉4👌4👏4
Signed 5ec1cff
Showing the 12 most recent of 26 posts we hold for @real5ec1cff. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
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.
Mentions
Named by 23 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.
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 2 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.
Real Nullptr @nullptr_dev · 21,470 Telegram ranks this channel #1 of 54 here — alongside 53 others — read 28 September 2026
LuckyTool @LuckyTool · 31,335 Telegram ranks this channel #1 of 56 here — alongside 55 others — read 12 September 2026
LSPosed @LSPosed · 201,624 Telegram ranks this channel #1 of 57 here — alongside 56 others — read 17 August 2026
Hide My Applist @HideMyApplist · 42,193 Telegram ranks this channel #2 of 24 here — alongside 23 others — read 30 August 2026
Magisk alpha @magiskalpha · 66,542 Telegram ranks this channel #2 of 40 here — alongside 39 others — read 21 August 2026
HyperCeiler | Canary Test @cemiuiler_canary · 21,498 Telegram ranks this channel #3 of 49 here — alongside 48 others — read 4 October 2026
HyperCeiler | Release & Notice @cemiuiler_release · 28,046 Telegram ranks this channel #3 of 51 here — alongside 50 others — read 12 September 2026
QAuxiliary CI Builds @QAuxiliary_CI · 19,689 Telegram ranks this channel #5 of 56 here — alongside 55 others — read 1 October 2026
FunProject @QToolCI · 50,305 Telegram ranks this channel #6 of 51 here — alongside 50 others — read 12 September 2026
不靠谱的喵(>^ω^<) #CatGPT @MlgmXyysd_bibilailai · 22,511 Telegram ranks this channel #7 of 54 here — alongside 53 others — read 23 September 2026
QAuxiliary @QAuxiliary · 44,485 Telegram ranks this channel #7 of 58 here — alongside 57 others — read 12 September 2026
Matsuridayo GitHub @MatsuriDayo · 45,756 Telegram ranks this channel #9 of 58 here — alongside 57 others — read 30 August 2026
SCENE Downloads @scene2023 · 57,651 Telegram ranks this channel #11 of 50 here — alongside 49 others — read 12 September 2026
FlClash Channel @FlClash · 54,591 Telegram ranks this channel #11 of 53 here — alongside 52 others — read 28 August 2026
Nagram Tips @NagramTips · 52,429 Telegram ranks this channel #13 of 49 here — alongside 48 others — read 30 August 2026
LSPosedArchives @LSPosedArchives · 27,192 Telegram ranks this channel #16 of 36 here — alongside 35 others — read 14 September 2026
APatch Updates @APatchChannel · 26,027 Telegram ranks this channel #17 of 37 here — alongside 36 others — read 14 September 2026
NPatch @NPatch · 20,033 Telegram ranks this channel #21 of 48 here — alongside 47 others — read 2 October 2026
InaTEWS_BMKG @InaTEWS_BMKG · 23,479 Telegram ranks this channel #27 of 51 here — alongside 50 others — read 16 September 2026
ReVanced Extended @revanced_extended · 19,225 Telegram ranks this channel #32 of 47 here — alongside 46 others — read 1 October 2026
KernelSU @KernelSU · 74,553 Telegram ranks this channel #33 of 49 here — alongside 48 others — read 14 September 2026
[Official] Configs for BSG MGC @Config_MGC · 26,838 Telegram ranks this channel #34 of 50 here — alongside 49 others — read 11 September 2026
Everything Android| OFFICIAL @everythingandroid · 26,389 Telegram ranks this channel #35 of 37 here — alongside 36 others — read 2 October 2026
Ayra's Project Channel @AyraProject · 29,700 Telegram ranks this channel #40 of 41 here — alongside 40 others — read 8 September 2026
This channel appears in 33 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“5ec1cff” (@real5ec1cff), 40,136 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/real5ec1cff.
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.