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Channel

秀儿の科技软件|资源分享社🎀

@jianjiaoPD

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

132,544subscribers

+22,483 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-1001427801913
TypeChannel
Username@jianjiaoPD
Description🎯聚焦 科技、软件与AI领域的优质内容分享 每日精选 各种实用软件、AI工具、GitHub 优质项目、iOS&安卓(破解)脚本(软件)、4K影视资源与玩机技巧,让探索科技成为生活方式 💬 讨论组: @JianjiaoQun 🔍 频道索引: @TGSearchCNBot 📂 搜索群: @XiuerSearch ☁️ 云盘合集: @XiangxiuNBB 🎬 精品影视: @Oscar_4Kmovies 广告/合作: @XiangxiuerBot 我们不只是搬运资源,更在传递好奇与创造的力量
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/jianjiaoPD

Topic

Software piracy — 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 9 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 the other topics.

Growth

110,061132,544121,302.56 August 20267 November 2026
64 measurements spanning 93 days, net +22,483. 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 106,689–135,916 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
7 Nov 2026, 13:09132,544+179
6 Nov 2026, 14:07132,365+127
5 Nov 2026, 15:59132,238+149
4 Nov 2026, 17:59132,089+186
3 Nov 2026, 15:56131,903+162
2 Nov 2026, 12:19131,741+172
1 Nov 2026, 09:30131,569+161
31 Oct 2026, 12:17131,408+124
30 Oct 2026, 14:49131,284+106
29 Oct 2026, 15:50131,178+164
28 Oct 2026, 14:44131,014+135
27 Oct 2026, 16:40130,879+151
26 Oct 2026, 19:16130,728+128
25 Oct 2026, 21:35130,600+167
25 Oct 2026, 00:05130,433+175
24 Oct 2026, 01:36130,258+183
23 Oct 2026, 02:49130,075+181
21 Oct 2026, 23:21129,894+244
20 Oct 2026, 14:49129,650+220
19 Oct 2026, 13:10129,430first reading

Engagement

389 posts held, back to 31 July 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 210 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.01%
avg views ÷ 132,544 subscribers
Avg views / post
6,640
94 posts measured
Reaction rate
0.13%
reactions ÷ views · ER floor
Posts in window
94
of 389 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 93 of 94 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 7 November 2026
Posts held389 (31 July 2026 – 7 November 2026)
Views total624,390
Reactions total806
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 23:35 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
≈5,000
Videos
≈545
Links
≈4,390

Lifetime counters from Telegram’s own channel header, read 7 November 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
2h 18m
Average length
2m 37s

Measured directly from 53 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

5,786 reactions across 384 posts, in 22 distinct kinds. The most used accounts for 25.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,50025.9%
❤1,30322.5%
🎉4097.07%
🥰4006.91%
💯3926.77%
🔥3896.72%
😍3876.69%
🤩3866.67%
❤‍🔥3806.57%
🤡961.66%
🕊831.43%
🙏180.311%
🤣100.173%
🫡100.173%
🤪60.104%
🌭40.069%
👏40.069%
😴30.052%
🤨30.052%
🆒10.017%
2 further kinds20.035%

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 388 of the 389 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 5,864 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 389 most recent posts we hold, published 31 July 2026 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.

Advertising

Ad load
0.771%
3 of 389 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
2,660
over 3 measured posts
Median views · rest
7,500
over 386 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Measured over the 389 most recent posts we hold, published 31 July 2026 to 7 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 27 of 94 posts held from the last 30 days (28.7%) 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).

7 Nov 2026, 09:45 UTC≈2,400 views8 reactionsread 7 November 2026
Photo

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👍6❤2

7 Nov 2026, 03:31 UTC≈3,330 views9 reactionsread 7 November 2026
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👍7❤2

7 Nov 2026, 03:31 UTC≈3,030 views5 reactionsread 7 November 2026
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👍5

Signed Channel Help

7 Nov 2026, 03:31 UTC≈2,850 views4 reactionsread 7 November 2026
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👍4

Signed Channel Help

6 Nov 2026, 03:13 UTC≈4,830 views5 reactionsread 7 November 2026
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❤5

6 Nov 2026, 03:12 UTC≈2,660 viewsread 6 November 2026
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Signed Channel Help

6 Nov 2026, 03:12 UTC≈4,060 views2 reactionsread 7 November 2026
File

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❤2

Signed Channel Help

5 Nov 2026, 14:50 UTC≈4,970 views5 reactionsread 7 November 2026
Video

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❤3👍2

5 Nov 2026, 11:58 UTC≈5,020 views14 reactionsread 7 November 2026
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👍9❤5

5 Nov 2026, 11:58 UTC≈1,970 views7 reactionsread 5 November 2026
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👍6❤1

Signed Channel Help

5 Nov 2026, 01:20 UTC≈5,430 views12 reactionsread 7 November 2026
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👍8❤4

5 Nov 2026, 01:19 UTC≈4,610 views4 reactionsread 7 November 2026
Photo

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👍4

Signed 极搜🔍资源搜索@JISOU

Showing the 12 most recent of 389 posts we hold for @jianjiaoPD. 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

@jianjiaoPD edited 29 posts 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
8 August 2026
Most recent edit
1 November 2026

Posts recorded as deleted after publishing

We recorded 65 posts on @jianjiaoPD as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
5 November 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
18

Forward network

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 19 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.

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.

在花🎗️科技圈
@zaihuapd · 289,289
#1
小声逼逼
@me888888888888 · 53,212
#2
Lᴜᴄʏ
@LUCYChannel_1024 · 7,978
#3
Yummy 😋
@GodlyNews1 · 71,016
#4
风向旗参考快讯
@xhqcankao · 167,873
#5
折腾啥
@zhetengsha · 53,575
#6
广告必须死
@Aa28413761 · 26,809
#7
极客分享
@geekshare · 65,472
#8
Newlearnerの自留地
@NewlearnerChannel · 68,188
#9
广告必须死Ⅱ
@GitCube · 11,457
#10
Widget🏂软件工具资源分享
@WidgetChannel · 107,042
#11
LoopDNS资讯播报
@DNSPODT · 73,218
#12
 Apple Nuts
@AppleNuts · 37,702
#13
蓝点网订阅频道
@landiansub · 46,998
#14
APPDO 数字生活指南
@AppDoDo · 40,966
#15
iOS优质应用
@ioskk · 50,500
#16
心灵魔法站
@personal_hub · 11,586
#17
ahhhhfs|A姐分享
@abskoop · 303,921
#18
每日消费电子观察
@CE_Observe · 77,408
#19
前女友们用过的机场—始于机场,不止机场
@gebaopiCloud · 101,583
#20
XP Digital Lab
@rocCHL · 37,173
#21
AppSnitch · 器
@app_snitch · 3,415
#22
Cool Scripts
@cool_scripts · 16,364
#23
Steve Studio
@st77eve · 5,712
#24
Appinn Feed|小众软件
@appinnfeed · 34,803
#25
Hell Cell 功能教学
@HellCellZC123 · 10,879
#26
瞎玩菌 #SFW
@blindgamer · 10,774
#27
折腾搞机频道
@tossichannel · 35,668
#28
Odyssey+
@odysseyplus · 24,736
#29
Turnip Project助手
@TurnipProject · 1,542
#30
少数派sspai
@sspai · 39,067
#31
deb+dylib插件收集
@deb_dylib · 22,251
#32
科技&趣闻&杂记
@kejiqu · 36,769
#33
Surge & Loon & QX 脚本收集
@NobyDa · 64,415
#34
Loon News
@LoonNews · 48,269
#35
未响 | FutureEcho | 公告
@FutureEcho_Notice · 7,310
#36
Sliverkissの废弃文化研究所
@sliverkiss_blog · 11,771
#37
整点猫咪Channel
@GetMoeCats · 4,534
#38
小果子|iOS越狱交流频道
@guozhiapp · 21,901
#39
TestFlight News
@testflights · 10,976
#40
竹新社
@tnews365 · 167,104
#41
Surge TestFlight Feed
@SurgeTestFlightFeed · 13,040
#42

Read from Telegram’s recommendation API, most recently 4 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.

Appinn Feed|小众软件
@appinnfeed · 34,803
Telegram ranks this channel #21 of 52 here — alongside 51 others — read 4 September 2026
APTV通知频道
@AptvPlayerChannel · 37,177
Telegram ranks this channel #23 of 38 here — alongside 37 others — read 5 September 2026
翻墙世界的梯子
@wxgqlfx · 34,164
Telegram ranks this channel #32 of 37 here — alongside 36 others — read 5 September 2026

This channel appears in 3 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“秀儿の科技软件|资源分享社🎀” (@jianjiaoPD), 132,544 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/jianjiaoPD.

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.