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Channel

黑科技软件资源分享

@kkaifenxiang

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

260,679subscribers

-623 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001407418223
TypeChannel
Username@kkaifenxiang
Description分享免费实用高效率网络资源、黑科技软件、实用黑技巧。 投广告请联系 @chuanhuatongbot
CreatedBetween 1 April 2019 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live30 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 30 September 2026
On Telegramt.me/kkaifenxiang

Topic

Technology — 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 99% 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

260,679261,593261,1366 August 2026 — 261,302 subscribers6 August 2026 — 261,307 subscribers7 August 2026 — 261,270 subscribers8 August 2026 — 261,251 subscribers9 August 2026 — 261,219 subscribers10 August 2026 — 261,176 subscribers11 August 2026 — 261,134 subscribers12 August 2026 — 261,087 subscribers13 August 2026 — 261,100 subscribers15 August 2026 — 261,072 subscribers16 August 2026 — 261,327 subscribers17 August 2026 — 261,375 subscribers18 August 2026 — 261,361 subscribers19 August 2026 — 261,378 subscribers20 August 2026 — 261,493 subscribers21 August 2026 — 261,593 subscribers23 August 2026 — 261,591 subscribers24 August 2026 — 261,548 subscribers25 August 2026 — 261,495 subscribers26 August 2026 — 261,468 subscribers27 August 2026 — 261,476 subscribers28 August 2026 — 261,411 subscribers29 August 2026 — 261,352 subscribers30 August 2026 — 261,297 subscribers1 September 2026 — 261,248 subscribers1 September 2026 — 261,225 subscribers3 September 2026 — 261,145 subscribers4 September 2026 — 261,085 subscribers6 September 2026 — 261,195 subscribers10 September 2026 — 261,181 subscribers12 September 2026 — 261,079 subscribers14 September 2026 — 260,988 subscribers15 September 2026 — 260,962 subscribers17 September 2026 — 260,900 subscribers30 September 2026 — 260,679 subscribers6 August 202630 September 2026
35 measurements spanning 55 days, net -623. 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 260,542–261,730 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
30 Sept 2026, 02:42260,679-221
17 Sept 2026, 23:39260,900-62
15 Sept 2026, 22:21260,962-26
14 Sept 2026, 05:41260,988-91
12 Sept 2026, 10:41261,079-102
10 Sept 2026, 04:38261,181-14
6 Sept 2026, 20:56261,195+110
4 Sept 2026, 10:18261,085-60
3 Sept 2026, 01:57261,145-80
1 Sept 2026, 22:25261,225-23
1 Sept 2026, 01:35261,248-49
30 Aug 2026, 22:19261,297-55
29 Aug 2026, 21:23261,352-59
28 Aug 2026, 23:35261,411-65
27 Aug 2026, 20:17261,476+8
26 Aug 2026, 20:44261,468-27
25 Aug 2026, 23:43261,495-53
24 Aug 2026, 23:27261,548-43
23 Aug 2026, 10:15261,591-2
21 Aug 2026, 20:58261,593first reading

Engagement

392 posts held, back to 3 August 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 168 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.27%
avg views ÷ 260,679 subscribers
Avg views / post
3,310
194 posts measured
Reaction rate
0.232%
reactions ÷ views · ER floor
Posts in window
194
of 392 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. It is computed over the 189 of 194 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 October 2026
Posts held392 (3 August 2026 – 3 October 2026)
Views total642,190
Reactions total1,461
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Oct 2026, 12:31 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
≈7,240
Videos
≈145
Links
≈7,020

Lifetime counters from Telegram’s own channel header, read 3 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
2m 14s
Average length
45s

Measured directly from 3 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.

Reaction mix

2,662 reactions across 380 posts, in 17 distinct kinds. The most used accounts for 60.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,61860.8%
❤93034.9%
🤣421.58%
🤓240.902%
😱170.639%
🆒60.225%
😢60.225%
😁50.188%
🌚20.075%
💔20.075%
🔥20.075%
😇20.075%
😨20.075%
⚡10.038%
🍾10.038%
🤔10.038%
🤪10.038%

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 380 of the 392 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 2,662 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 392 most recent posts we hold, published 3 August 2026 to 3 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 391 we hold a reading for · 0.5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kkaifenxiang. 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 392 most recent posts we hold for this entry, published 3 August 2026 to 3 October 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

3 Oct 2026, 00:11 UTC≈2,110 views10 reactionsread 3 October 2026
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3 Oct 2026, 00:11 UTC≈1,690 views7 reactionsread 3 October 2026
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3 Oct 2026, 00:11 UTC≈1,500 views5 reactionsread 3 October 2026
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3 Oct 2026, 00:10 UTC≈1,390 views8 reactionsread 3 October 2026
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3 Oct 2026, 00:10 UTC≈1,190 views5 reactionsread 3 October 2026
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3 Oct 2026, 00:10 UTC≈1,150 views5 reactionsread 3 October 2026
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3 Oct 2026, 00:10 UTC≈1,100 views5 reactionsread 3 October 2026
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3 Oct 2026, 00:10 UTC≈1,250 views6 reactionsread 3 October 2026

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2 Oct 2026, 12:00 UTC≈2,400 views5 reactionsread 3 October 2026

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2 Oct 2026, 08:37 UTC≈2,780 views3 reactionsread 3 October 2026
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2 Oct 2026, 04:04 UTC≈3,120 views11 reactionsread 3 October 2026
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2 Oct 2026, 04:04 UTC≈2,680 views10 reactionsread 3 October 2026
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✏️ 软件名称:skill-hub 💻 软件功能:生命周期管理工具 ✅ 支持平台:#Windows #macOS #Linux 📌 工具标签:#AI编程 #Prompt工程 📝 软件简介:一款把 Git 作为底层版本控制系统的 AI 编程“Skill(Prompt/脚本/工作流)”生命周期与包管理 CLI。 🔥 核心场景: 跨项目一键分发:在任意项目根目录跑一句 skill-hub use <skill-name> && skill-hub apply,秒级将指定技能推送到标准 .agents/skills/ 目录。 本机全局 Agent 共享:不想逐个项目配置?加个 --global 参数直接铺满整台机器的全局 Agent 目录,同时喂给 Codex、OpenCode、Claude 等多个工具。 双向同步与防手抖回流:在特定项目微调了某个 Skill?用 feedback 可以逆向推回主仓库;而且它带版…

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Showing the 12 most recent of 392 posts we hold for @kkaifenxiang. 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.

Posts edited after publishing

@kkaifenxiang edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
13 August 2026
Most recent edit
13 August 2026

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 32 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

ahhhhfs|A姐分享
@abskoop · 306,126
#1
在花🎗️科技圈
@zaihuapd · 283,183
#2
极客分享
@geekshare · 64,804
#3
iOS优质应用
@ioskk · 49,885
#4
Widget🏂软件工具资源分享
@WidgetChannel · 100,285
#5
油油の科技软件资源分享
@youyousharechannel · 90,603
#6
你不知道的内幕消息🅥
@inside1024 · 107,720
#7
蓝点网订阅频道
@landiansub · 45,199
#8
黑洞资源笔记
@piracy6 · 77,423
#9
折腾啥
@zhetengsha · 49,675
#10
Newlearnerの自留地
@NewlearnerChannel · 67,563
#11
🄷🅆 ·資源分享
@helloworld_1024 · 59,370
#12
飞鱼资源分享|冲浪指南|软件工具
@feiyu123 · 62,246
#13
小声逼逼
@me888888888888 · 50,818
#14
树洞🌳群友问❓有点意思🗳
@qunyouwen · 89,267
#15
润润Go away !
@runrungoaway · 13,600
#16
Appinn Feed|小众软件
@appinnfeed · 33,556
#17
APPDO 数字生活指南
@AppDoDo · 40,725
#18
AppSnitch · 器
@app_snitch · 3,420
#19
每日消费电子观察
@CE_Observe · 75,036
#20
广告必须死
@Aa28413761 · 26,238
#21
翻墙世界的梯子
@wxgqlfx · 32,988
#22
秋风のとおり道
@AWAvenue · 25,975
#23
风向旗参考快讯
@xhqcankao · 164,187
#24
Yummy 😋
@GodlyNews1 · 69,298
#25
最新消息 任务悬赏 搞钱渠道 散户接单 供需发布
@QQTYC1 · 22,729
#26
LoopDNS资讯播报
@DNSPODT · 72,064
#27
电影频道【SOTV】
@cctv1 · 308,824
#28
竹新社
@tnews365 · 164,549
#29
每日沙雕墙
@woshadiao · 115,194
#30
心灵魔法站
@personal_hub · 11,556
#31
AI探索指南
@aigc1024 · 37,276
#32
Telo News 简体中文 - 加密货币|DeFi |Web3
@telonews_cn · 83,174
#33
Surge & Loon & QX 脚本收集
@NobyDa · 63,570
#34
科技&趣闻&杂记
@kejiqu · 36,473
#35
ChatGPT 精选
@AwesomeChatGPT · 15,034
#36
即刻精选
@jike_collection · 35,824
#37
副业赚钱探索指南
@text1024 · 19,743
#38
Toncoin 中文频道
@toncoin_cn · 140,488
#39

Read from Telegram’s recommendation API, most recently 19 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.

极客分享
@geekshare · 64,804
Telegram ranks this channel #4 of 44 here — alongside 43 others — read 21 August 2026
黑洞资源笔记
@piracy6 · 77,423
Telegram ranks this channel #15 of 61 here — alongside 60 others — read 19 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. 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 30 September 2026 — this entry's latest reading, not the date you are reading this.

“黑科技软件资源分享” (@kkaifenxiang), 260,679 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/kkaifenxiang.

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.