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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

260,900subscribers

-402 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 live17 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 17 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

260,900261,593261,246.56 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 subscribers6 August 202617 September 2026
34 measurements spanning 43 days, net -402. 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 260,796–261,697 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
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, 20:58261,593+100
20 Aug 2026, 14:23261,493first reading

Engagement

336 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 145 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.28%
avg views ÷ 260,900 subscribers
Avg views / post
3,350
195 posts measured
Reaction rate
0.206%
reactions ÷ views · ER floor
Posts in window
195
of 336 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 190 of 195 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 25 September 2026
Posts held336 (3 August 2026 – 25 September 2026)
Views total652,960
Reactions total1,324
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Sept 2026, 14:00 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
≈7,200
Videos
≈144
Links
≈6,980

Lifetime counters from Telegram’s own channel header, read 25 September 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
1m 15s
Average length
38s

Measured directly from 2 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

2,213 reactions across 324 posts, in 16 distinct kinds. The most used accounts for 59.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,30859.1%
❤79535.9%
🤣421.90%
🤓231.04%
😱170.768%
😢60.271%
😁50.226%
🆒40.181%
🌚20.09%
💔20.09%
🔥20.09%
😇20.09%
😨20.09%
⚡10.045%
🤔10.045%
🤪10.045%

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 324 of the 336 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 2,213 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 336 most recent posts we hold, published 3 August 2026 to 25 September 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 335 we hold a reading for · 0.6%
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 336 most recent posts we hold for this entry, published 3 August 2026 to 25 September 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

25 Sept 2026, 01:04 UTC≈1,980 views17 reactionsread 25 September 2026
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✏️ 软件名称:MikuRay 💻 软件功能:代理工具 ✅ 支持平台:#Android 📌 工具标签:#v2rayNG #科学上网 #代理工具 📝 软件简介:一款基于经典安卓代理客户端 v2rayNG 架构深度魔改,融合了 Miku 视觉主题、深度自定义 UI 与多核心支持 的超卡哇伊开源 Android 科学上网客户端。 🔥 核心场景: 拒绝工具感,高颜值的日常挂机代理:如果你对原生 v2rayNG 那套老旧的 Android 默认样式过敏,它提供了一整套初音绿/葱色风格的深浅主题 UI,每次点开连结都赏心悦目。 双核心自由切换与热更新规则:完美原生支持 Xray-core 与 v2fly-core,灵活应对各种复杂的自建协议与分流策略;默认集成 Loyalsoldier 的 geoip/geosite 规则,智能分流不迷路。 多端与模拟器兼容:除了在主流 Android 手机和平板上跑得飞起,它甚至支持…

👍9❤8

25 Sept 2026, 01:04 UTC≈1,660 views9 reactionsread 25 September 2026
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✏️ 软件名称:LocalViewer 💻 软件功能:漫画阅读器 ✅ 支持平台:#Android 📌 工具标签:#NAS必备 #开源软件 #漫画阅读器 📝 软件简介:一款基于 EhViewer 阅读核心 深度魔改,采用 Kotlin + Jetpack Compose 构建的开源 Android 局域网(SMB / WebDAV)高性能原图查看与漫画阅读器。 🔥 核心场景: 局域网连卷看漫画/画集:直连家庭 NAS 或云端 WebDAV,无缝翻阅深层目录,支持点进压缩包(ZIP/RAR/7z/CBZ/PDF/EPUB)边下边看。 两亿像素级无损看图:解决传统看图软件暴力压缩(Downscaling)导致细节全失的问题,HQ 模式直接原生硬解码输出全尺寸大图。 高画质游戏截图与 HDR 鉴定:原生吃透 JXL、JXR(Windows HDR 截图)、AVIF、HEIC 以及 Oppo/OnePlus 的 Pr…

👍7❤2

25 Sept 2026, 01:04 UTC≈1,370 views11 reactionsread 25 September 2026
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✏️ 软件名称:Scribe2SRT 💻 软件功能:字幕转换工具 ✅ 支持平台:#Windows #macOS #Linux 📌 工具标签:#效率神器 #字幕制作 #音视频转录 📝 软件简介:一款基于 PySide6(Qt)桌面端 + ElevenLabs 语音识别 API 构建的开源智能字幕转换工具,核心在于它自带一套符合专业影视规范的智能分句与排版算法。 🔥 核心场景: 生肉/播客一键转压制级字幕:把 MP3/WAV/FLAC 或 MP4/MKV/MOV 拖进去,直接输出时间轴精准、不用二次爆改的 .srt。 拯救官方转录 JSON:如果你之前用过 ElevenLabs 的 Scribe 网页端,手里攒了一堆 JSON 原数据,它能直接喂进去洗成标准字幕。 消除字幕“跨行破句”:中文单行限制 25 字、西文限制 42 字,且强制按标点符号与语法语义分断,彻底杜绝半句话截成两截的惨剧。 长音频切片批量搞:…

👍7❤4

25 Sept 2026, 01:04 UTC≈1,310 views10 reactionsread 25 September 2026
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👍8❤2

25 Sept 2026, 01:04 UTC≈1,180 views5 reactionsread 25 September 2026
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👍5

25 Sept 2026, 01:04 UTC≈1,110 views5 reactionsread 25 September 2026
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👍5

25 Sept 2026, 01:04 UTC≈1,090 views5 reactionsread 25 September 2026
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👍5

25 Sept 2026, 01:04 UTC≈1,210 views7 reactionsread 25 September 2026

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👍6❤1

24 Sept 2026, 09:15 UTC≈2,720 views8 reactionsread 25 September 2026
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✏️ 软件名称:RSSH 💻 软件功能:SSH 工具 ✅ 支持平台:#Windows #macOS #Linux 📌 工具标签:#SSH客户端 #DevOps #生产力工具 📝 软件简介:一个基于 Rust 核心打造、将终端输出结构化为“交互式积木块”并原生内嵌无侵入 AI 排障的全平台下一代 SSH 与运维工作台。 🔥 核心场景: 线上疑难杂症快速排查: 跑批量部署或排查服务报错时,AI 像人类运维一样直接读取终端输入输出上下文,原地分析根因并给出补救命令,彻底告别“复制报错日志 -> 切网页丢给大模型 -> 拷回终端执行”的繁琐步骤。 海量日志快速定位: 跑几千行日志不再无脑滚屏,每一条执行的命令与其输出都被包裹成折叠式“彩色命令块”,看左侧边缘颜色一眼就能分清哪次命令挂了、输出截断在哪里。 云原生容器极速穿梭: 本地 Docker 容器与 K8s Pods 随起随停,不需要死记硬背静态 IP,通过本地…

👍6❤2

24 Sept 2026, 09:15 UTC≈2,300 views8 reactionsread 25 September 2026
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👍6❤2

24 Sept 2026, 09:15 UTC≈2,050 views10 reactionsread 25 September 2026
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24 Sept 2026, 09:14 UTC≈1,910 views7 reactionsread 25 September 2026
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Showing the 12 most recent of 336 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 31 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 · 306,586
#1
在花🎗️科技圈
@zaihuapd · 283,153
#2
极客分享
@geekshare · 64,669
#3
iOS优质应用
@ioskk · 49,749
#4
Widget🏂软件工具资源分享
@WidgetChannel · 99,840
#5
油油の科技软件资源分享
@youyousharechannel · 90,145
#6
你不知道的内幕消息🅥
@inside1024 · 107,938
#7
蓝点网订阅频道
@landiansub · 44,850
#8
黑洞资源笔记
@piracy6 · 77,423
#9
折腾啥
@zhetengsha · 49,269
#10
Newlearnerの自留地
@NewlearnerChannel · 67,412
#11
🄷🅆 ·資源分享
@helloworld_1024 · 59,336
#12
飞鱼资源分享|冲浪指南|软件工具
@feiyu123 · 61,856
#13
小声逼逼
@me888888888888 · 50,329
#14
树洞🌳群友问❓有点意思🗳
@qunyouwen · 89,304
#15
润润Go away !
@runrungoaway · 13,639
#16
Appinn Feed|小众软件
@appinnfeed · 33,361
#17
APPDO 数字生活指南
@AppDoDo · 40,358
#18
AppSnitch · 器
@app_snitch · 3,417
#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 · 32,872
#22
秋风のとおり道
@AWAvenue · 25,982
#23
风向旗参考快讯
@xhqcankao · 163,238
#24
Yummy 😋
@GodlyNews1 · 69,291
#25
最新消息 任务悬赏 搞钱渠道 散户接单 供需发布
@QQTYC1 · 22,954
#26
LoopDNS资讯播报
@DNSPODT · 72,064
#27
电影频道【SOTV】
@cctv1 · 308,989
#28
竹新社
@tnews365 · 164,267
#29
每日沙雕墙
@woshadiao · 115,194
#30
心灵魔法站
@personal_hub · 11,584
#31
AI探索指南
@aigc1024 · 37,130
#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 · 63,380
#34
科技&趣闻&杂记
@kejiqu · 36,460
#35
ChatGPT 精选
@AwesomeChatGPT · 15,061
#36
即刻精选
@jike_collection · 35,819
#37
副业赚钱探索指南
@text1024 · 19,749
#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 · 64,669
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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“黑科技软件资源分享” (@kkaifenxiang), 260,900 subscribers as measured 17 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.