This channel’s posts match, word for word or near enough, posts on 1 other registered channel, 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.
9 measurements spanning 7 days, net +21. 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 17,971–17,998 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 13:16
17,995
+4
12 Aug 2026, 15:04
17,991
+3
11 Aug 2026, 13:53
17,988
-3
10 Aug 2026, 13:47
17,991
+4
9 Aug 2026, 15:13
17,987
+6
8 Aug 2026, 13:33
17,981
+5
7 Aug 2026, 14:07
17,976
+1
6 Aug 2026, 16:41
17,975
+1
6 Aug 2026, 13:32
17,974
first reading
Engagement
20 posts held, back to 16 November 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 18 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
53.6%
avg views ÷ 17,995 subscribers
Avg views / post
9,640
4 posts measured
Reaction rate
1.40%
reactions ÷ views · ER floor
Posts in window
4
of 20 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 5 August 2026
Posts held
20 (16 November 2025 – 5 August 2026)
Views total
38,560
Reactions total
540
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Aug 2026, 14:17 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
6
Links
39
Lifetime counters from Telegram’s own channel header, read 13 August 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
2,356 reactions across 20 posts, in 31 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,178
50.0%
👍
261
11.1%
😁
260
11.0%
🔥
242
10.3%
😇
113
4.80%
🥰
63
2.67%
🤔
61
2.59%
🤡
39
1.66%
👎
38
1.61%
❤🔥
31
1.32%
🙏
15
0.637%
👏
12
0.509%
🤩
7
0.297%
👀
5
0.212%
🤯
4
0.17%
🆒
3
0.127%
💊
3
0.127%
😍
3
0.127%
🤗
3
0.127%
🤬
3
0.127%
11 further kinds
12
0.509%
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 20 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 2,356reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 16 November 2025 to 5 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.
Telegram Stars
Stars received
15
across the posts below
Posts paid on
7
of 20 we hold a reading for · 35%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nullptr_dev. 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 20 most recent posts we hold for this entry, published 16 November 2025 to 5 August 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.
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 1.3.4 正式版
修复使用某些模块导致崩溃的问题
WebUI 增加 ZN 模块列表
增加 Zygisk 模块错误检查机制,发现存在问题的模块会显示在 ZN 的模块状态和 WebUI 中(可检查的错误请参见文档)
补充 1.3.3 的更新:ZN 模块的 inline hook 功能无需额外在 sepolicy 增加 execmem 规则
ZygiskNext 1.3.4 Stable Release
Fixed an issue that caused crashes when using certain modules.
Add ZN module list to the WebUI.
Add Zygisk module error checking mechanism. Modules with issues will be displayed in ZN's module status and W…
ZygiskNext 1.3.3 正式版
默认启用 ZN linker
适配 Android Canary 2603 的相关改动
提升对 nubia 系统、三星系统的兼容性
修复某些情况下与 magisk 的兼容性问题
修复其他小问题
ZygiskNext 1.3.3 Stable Release
Enable ZN linker by default
Adapt to changes in Android Canary 2603
Improve compatibility with certain nubia and Samsung systems
Fix compatibility issues with Magisk in some cases
Fix other minor issues
SHA256: a528584874dd814423dece1a6bc734aee524886d74f4453f48af0715a…
Showing the 12 most recent of 20 posts we hold for @nullptr_dev. 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.
Citation-graph rank
Citation-graph rank — 65,929 of 1,183,361entries 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.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
“Real Nullptr” (@nullptr_dev), 17,995 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/nullptr_dev.
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.