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Channel

APPDO 数字生活指南

@AppDoDo

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

40,978subscribers

+842 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001181224837
TypeChannel
Username@AppDoDo
Description💡互联网/数码/App/羊毛/相机/数字指南 📨商务联系:@appdo_bot (唯一,谨防诈骗) 📰独立网站:appdo.xyz 🧑🏻‍💻博客 song.al 📷浮生东京 @LifeJapan Buy ads: https://telega.io/c/AppDoDo
Created20 February 2020 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/AppDoDo

Topic

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 100% 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

40,13640,97840,5576 August 202610 November 2026
64 measurements spanning 96 days, net +842. 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 40,010–41,104 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 01:4140,978+1
8 Nov 2026, 17:3540,977+11
7 Nov 2026, 12:5440,966+9
6 Nov 2026, 09:2740,957-6
5 Nov 2026, 11:0640,963-2
4 Nov 2026, 13:2940,965+7
3 Nov 2026, 12:4740,958+13
2 Nov 2026, 12:5640,945+20
1 Nov 2026, 10:4040,925+5
31 Oct 2026, 08:5540,920+7
30 Oct 2026, 08:5940,913-4
29 Oct 2026, 08:3940,917+12
28 Oct 2026, 08:0540,905+13
27 Oct 2026, 06:1840,892+15
26 Oct 2026, 07:1140,877+7
25 Oct 2026, 06:4840,870+8
24 Oct 2026, 04:1840,862-2
23 Oct 2026, 06:3540,864+3
22 Oct 2026, 04:4140,861-8
20 Oct 2026, 22:3640,869first reading

Engagement

128 posts held, back to 26 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 186 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.83%
avg views ÷ 40,978 subscribers
Avg views / post
3,620
41 posts measured
Reaction rate
0.215%
reactions ÷ views · ER floor
Posts in window
43
of 128 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
WindowRolling 30 days · latest post in window 11 November 2026
Posts held128 (26 July 2026 – 11 November 2026)
Views total148,270
Reactions total319
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 09:58 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
≈1,350
Videos
≈24
Links
≈1,040

Lifetime counters from Telegram’s own channel header, read 11 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
3m 37s
Average length
43s

Measured directly from 5 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

1,611 reactions across 119 posts, in 12 distinct kinds. The most used accounts for 31.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤50531.3%
😱27517.1%
👍27316.9%
🆒1277.88%
🍌1177.26%
👏1026.33%
😍965.96%
🍾462.86%
🎉301.86%
🤩251.55%
⚡130.807%
🍓20.124%

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 121 of the 128 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 1,621 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 128 most recent posts we hold, published 26 July 2026 to 11 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
5
across the posts below
Posts paid on
5
of 121 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AppDoDo. 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 128 most recent posts we hold for this entry, published 26 July 2026 to 11 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.

Advertising

Ad load
3.13%
4 of 128 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
3,880
over 4 measured posts
Median views · rest
4,340
over 117 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 128 most recent posts we hold, published 26 July 2026 to 11 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: 9 of 43 posts held from the last 30 days (20.9%) 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).

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6 Nov 2026, 00:46 UTC≈4,690 views0 reactionsread 11 November 2026
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5 Nov 2026, 05:09 UTC≈3,240 views4 reactionsread 11 November 2026
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#互联网观察 ▎永丰银行 418 名客户账户遭黑客盗转 4,176 万元:新网银系统供应商漏洞被利用,款项已全数返还 11 月 3 日上午,台湾永丰银行多名客户在没有操作手机的情况下,账户被转出新台币 10 万元,收款方集中指向台北富邦银行的同一个账户。永丰银行最初称是新网银交易系统「程序异常」,11 月 4 日改口定性为外部黑客攻击。 永丰银行 11 月 4 日傍晚召开记者会,董事长曹为实与总经理庄铭福鞠躬道歉。经重新清查,受影响客户为 418 人、共 427 笔转出,合计新台币 4,176 万元,大部分每笔 10 万元;金管会此前公布的 419 人为初步数字。 行方调查称,黑客利用新网银交易系统中供应商程序的安全设定漏洞,以随机试误方式取得有效账户;受害客户身份证字号均为 P 开头是这一手法的结果,并非事先取得客户名单,目前无个资外泄轨迹。该套系统由国外供应商提供,目前台湾仅永丰银行一家采用,永丰称将向供应商求偿。…

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5 Nov 2026, 00:19 UTC≈3,000 views7 reactionsread 11 November 2026
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#互联网观察 #AI ▎ChatGPT Images 2.6 上线:ChatGPT 可直接生成并逐帧编辑 GIF,API 新模型提速 50% 11 月 4 日,OpenAI 发布 ChatGPT Images 2.6,开始向 ChatGPT 与 Codex 用户推送,覆盖网页、桌面与移动端。据 The Verge 报道,这次更新把图像生成从静态图片扩展到了动图。 ChatGPT 现在可以原生生成 GIF:输入文字提示,或上传一张照片,就能得到循环动图;生成后可以调整播放速度、逐帧查看,并修改其中单帧再分享。 参考图可以存档复用:角色、宠物、吉祥物等常用主体可存入参考图库,在后续提示中直接调用,减少同一形象在不同图片中走样。 开发者侧同步上线两个 API 模型:GPT-Image-2.6 Flare 主打生成速度,Sunburst 主打画质与多次编辑的一致性。OpenAI 称,两个新模型的图像生成速度提升 50%。 …

🆒7

Showing the 12 most recent of 128 posts we hold for @AppDoDo. 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

@AppDoDo edited 5 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
18 August 2026
Most recent edit
10 October 2026

Posts recorded as deleted after publishing

We recorded 1 post on @AppDoDo 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
8 September 2026
Most recent seen missing
8 September 2026
Median time before seen missing
26 hours
Seen missing in the last 30 days
0

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 29 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.

在花🎗️科技圈
@zaihuapd · 289,953
#1
Newlearnerの自留地
@NewlearnerChannel · 68,274
#2
Yummy 😋
@GodlyNews1 · 71,143
#3
风向旗参考快讯
@xhqcankao · 168,108
#4
APPDO的互联网记忆
@appdopic · 16,962
#5
 Apple Nuts
@AppleNuts · 37,705
#6
每日消费电子观察
@CE_Observe · 77,552
#7
VPS信号旗播报
@vps_xhq · 50,835
#8
LoopDNS资讯播报
@DNSPODT · 73,241
#9
Solidot
@solidot · 48,812
#10
小声读书 🙈
@weekly_books · 38,252
#11
少数派sspai
@sspai · 39,123
#12
蓝点网订阅频道
@landiansub · 47,142
#13
心灵魔法站
@personal_hub · 11,582
#14
层叠 - The Cascading
@outvivid · 9,324
#15
极客分享
@geekshare · 65,560
#16
即刻精选
@jike_collection · 35,883
#17
小声逼逼
@me888888888888 · 53,287
#18
Android Weekly Update ⚡️
@update4weekly · 5,249
#19
Appinn Feed|小众软件
@appinnfeed · 34,958
#20
rvalue的生草日常
@rvalue_daily · 8,802
#21
折腾啥
@zhetengsha · 53,830
#22
Loon News
@LoonNews · 48,288
#23
科技&趣闻&杂记
@kejiqu · 36,774
#24
前女友们用过的机场—始于机场,不止机场
@gebaopiCloud · 101,582
#25
Alan的小纸箱
@alansbox · 4,341
#26
Humanitech
@humanitech · 2,183
#27
瞎玩菌 #SFW
@blindgamer · 10,776
#28
不周的生活观察
@buzhouxiansheng · 6,808
#29
AppPie
@AppPie · 3,529
#30
广告必须死
@Aa28413761 · 26,843
#31
Roller | Agent Swarms 中文社区
@rollerrolling · 8,510
#32
AI Copilot
@AI_Copilot_Channel · 11,368
#33
Hell Cell 功能教学
@HellCellZC123 · 10,894
#34
iBeta 尝鲜派|公告栏
@ibeta_channel · 13,618
#35
不靠谱的喵(>^ω^<) #CatGPT
@MlgmXyysd_bibilailai · 22,511
#36
灵车漂移
@Hearse_Drifting · 10,883
#37
新·世界观察日志
@NewWorldObservationLog · 7,062
#38
特价VPS分享
@Tjjcfx · 17,877
#39
Cool Scripts
@cool_scripts · 16,359
#40
Sukka's Notebook
@SukkaChannel · 6,935
#41
Λ-Reading ♡
@GoReading · 14,977
#42
Z-Turns
@Z_Turns · 5,669
#43
PlayStation 新闻转发
@PlayStationNewssss · 3,220
#44
戴老师购物指南
@idwlch · 1,720
#45
ahhhhfs|A姐分享
@abskoop · 303,761
#46
地心引力
@bigwalnut · 3,171
#47
竹新社
@tnews365 · 167,192
#48
Surge & Loon & QX 脚本收集
@NobyDa · 64,479
#49
Surge TestFlight Feed
@SurgeTestFlightFeed · 13,052
#50
品测
@SIM_CN · 9,993
#51
LetITFly News
@LetITFlyW · 9,732
#52
小破不入渠🌏
@forwardlikehell · 6,772
#53
@DocOfCard_channel - DP收录
@DocOfCard_DP · 8,250
#54
豆瓣精选
@douban_read · 35,246
#55
Project X Channel
@projectXtls · 30,507
#56
Surfboard News
@surfboardnews · 28,395
#57

Read from Telegram’s recommendation API, most recently 30 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.

小声读书 🙈
@weekly_books · 38,252
Telegram ranks this channel #3 of 59 here — alongside 58 others — read 31 August 2026
Appinn Feed|小众软件
@appinnfeed · 34,958
Telegram ranks this channel #5 of 52 here — alongside 51 others — read 4 September 2026
Time经济观察
@TimeHorizonX · 21,049
Telegram ranks this channel #7 of 54 here — alongside 53 others — read 25 September 2026
即刻精选
@jike_collection · 35,883
Telegram ranks this channel #7 of 48 here — alongside 47 others — read 2 September 2026
科技&趣闻&杂记
@kejiqu · 36,774
Telegram ranks this channel #8 of 48 here — alongside 47 others — read 1 September 2026
 Apple Nuts
@AppleNuts · 37,705
Telegram ranks this channel #8 of 56 here — alongside 55 others — read 1 September 2026
2019-nCoV疫情实时播报🅥
@nCoV2019 · 32,428
Telegram ranks this channel #9 of 59 here — alongside 58 others — read 4 September 2026
少数派sspai
@sspai · 39,123
Telegram ranks this channel #9 of 58 here — alongside 57 others — read 31 August 2026
Newlearnerの自留地
@NewlearnerChannel · 68,274
Telegram ranks this channel #9 of 62 here — alongside 61 others — read 21 August 2026
极客分享
@geekshare · 65,560
Telegram ranks this channel #10 of 44 here — alongside 43 others — read 21 August 2026
Legado|开源阅读|频道
@Legado_Channels · 93,165
Telegram ranks this channel #11 of 61 here — alongside 60 others — read 17 August 2026
Yummy 😋
@GodlyNews1 · 71,143
Telegram ranks this channel #13 of 55 here — alongside 54 others — read 20 August 2026
看鉴中国 OutsightChina
@OutsightChina · 41,872
Telegram ranks this channel #14 of 58 here — alongside 57 others — read 29 August 2026
秀儿の科技软件|资源分享社🎀
@jianjiaoPD · 133,020
Telegram ranks this channel #15 of 42 here — alongside 41 others — read 4 September 2026
iOS优质应用
@ioskk · 50,613
Telegram ranks this channel #16 of 35 here — alongside 34 others — read 25 August 2026
油油の科技软件资源分享
@youyousharechannel · 92,387
Telegram ranks this channel #16 of 43 here — alongside 42 others — read 17 August 2026
ahhhhfs|A姐分享
@abskoop · 303,761
Telegram ranks this channel #16 of 50 here — alongside 49 others — read 17 August 2026
黑科技软件资源分享
@kkaifenxiang · 261,842
Telegram ranks this channel #18 of 39 here — alongside 38 others — read 19 August 2026
APTV通知频道
@AptvPlayerChannel · 37,270
Telegram ranks this channel #19 of 38 here — alongside 37 others — read 5 September 2026
FREE 中文
@freechinese · 27,756
Telegram ranks this channel #21 of 55 here — alongside 54 others — read 10 September 2026
风向旗参考快讯
@xhqcankao · 168,108
Telegram ranks this channel #21 of 45 here — alongside 44 others — read 12 August 2026
蓝点网订阅频道
@landiansub · 47,142
Telegram ranks this channel #22 of 58 here — alongside 57 others — read 28 August 2026
在花🎗️科技圈
@zaihuapd · 289,953
Telegram ranks this channel #22 of 40 here — alongside 39 others — read 12 August 2026
Loon News
@LoonNews · 48,288
Telegram ranks this channel #23 of 49 here — alongside 48 others — read 27 August 2026

This channel appears in 39 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“APPDO 数字生活指南” (@AppDoDo), 40,978 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/AppDoDo.

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.