Telegram RegisterThe public register of Telegram

Channel

Appinn Feed|小众软件

@appinnfeed

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

29,704subscribers

+102 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001073712343
TypeChannel
Username@appinnfeed
Created28 December 2016measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/appinnfeed

Growth

29,60229,70429,6535 August 2026 — 29,602 subscribers6 August 2026 — 29,602 subscribers6 August 2026 — 29,611 subscribers7 August 2026 — 29,620 subscribers8 August 2026 — 29,645 subscribers9 August 2026 — 29,656 subscribers10 August 2026 — 29,678 subscribers11 August 2026 — 29,679 subscribers12 August 2026 — 29,704 subscribers5 August 202612 August 2026
9 measurements spanning 7 days, net +102. 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 29,587–29,719 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:0529,704+25
11 Aug 2026, 19:1529,679+1
10 Aug 2026, 17:0529,678+22
9 Aug 2026, 15:1429,656+11
8 Aug 2026, 13:4229,645+25
7 Aug 2026, 13:4729,620+9
6 Aug 2026, 15:1329,611+9
6 Aug 2026, 01:5229,602no change
5 Aug 2026, 23:5329,602first reading

Engagement

87 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.89%
avg views ÷ 29,704 subscribers
Avg views / post
857
87 posts measured
Reaction rate
0.187%
reactions ÷ views · ER floor
Posts in window
87
of 87 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 27 of 87 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 12 August 2026
Posts held87 (3 August 202612 August 2026)
Views total74,591
Reactions total42
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 21:41 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.

Reaction mix

35 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 37.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1337.1%
👍1028.6%
👎514.3%
🙈25.71%
🤣25.71%
🤨25.71%
👀12.86%

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 27 of the 87 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 42reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 87 most recent posts we hold, published 3 August 2026 to 12 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.

Recent posts

12 Aug 2026, 18:15 UTC112 views1 reactionsread 12 August 2026

📣 #发现频道 【开发者自荐】DrawSimple:Mac 上轻量、原生的绘图与图片编辑工具 https://meta.appinn.net/t/topic/89897

👍1

12 Aug 2026, 12:10 UTC597 viewsread 12 August 2026

📣 #发现频道 手机上超方便的剪藏工具,支持Obsidian Notion 思源笔记和Onenote,视频号 抖音 小红书 B站 X 油管等等等都支持 https://meta.appinn.net/t/topic/89884

12 Aug 2026, 11:58 UTC708 views1 reactionsread 12 August 2026
Photo

想要找地方看今晚英仙座流星雨的,可以先用光污染地图看看你现在所处的地方是不是有光污染。 然后再找一个无光污染,或者小一点的地方,现在差不多就可以出发啦,带上好吃的,带上毯子,带上...好朋友。 www.darkmap.cn

👍1

12 Aug 2026, 11:00 UTC654 viewsread 12 August 2026

#互推 【知识分享】知识库Knowledge Base 【机场测评】某咕咕的 机场 & VPN 测评站 【书籍分享】电子书资源分享 📚 【科技分享】折腾啥 【资源分享】资源分享客栈-Applnn 【网络分享】书墨资源 【网络分享】Appinn Feed|小众软件 【小说分享】日更100 刺猬猫菠萝包起点飞卢小说有声书txt分享 【医学期刊】来一点医学科学前沿🤯🤯🥹🥹 Powered by @Summer_Clear_Sky_Bot

12 Aug 2026, 06:50 UTC848 viewsread 12 August 2026

💧 #小众软件 Google Play 应用商店正式上架第一款「第三方应用商店 Aptoide Games」 https://www.appinn.com/google-play-aptoide-games-third-party-app-store/ 因 Google 与 Epic Games 诉讼案的法院裁决,Google 正式在官方应用商店 Google Play 中,上架了第一款第三方应用商店:Aptoide Games 目前 Aptoide

12 Aug 2026, 05:50 UTC849 viewsread 12 August 2026

📣 #发现频道 【开发者自荐】陪娃做了一个「启蒙小超市」,让孩子在游戏里学会买东西 https://meta.appinn.net/t/topic/89854

12 Aug 2026, 05:50 UTC813 viewsread 12 August 2026

📣 #发现频道 【用户推荐】第三方系统可用的Onestep 4.0 面具模块_20260812 https://meta.appinn.net/t/topic/89853

11 Aug 2026, 14:54 UTC≈1,210 views6 reactionsread 12 August 2026
Photo

绑架用户的国产 agent 你们见过吗? 有用户发现安装扣子 coze/cli 之后,当你向 Codex 发送指令之后,Codex 会遵循 coze/cli 静默安装的 skill,将任务分配给 coze/cli。 用户清理了 skill 之后,守护进程还会重建该 skill。 最后一张图是 coze 官方回复。 相关讨论在这里: https://meta.appinn.net/t/topic/89785/

6

11 Aug 2026, 14:50 UTC≈1,020 views2 reactionsread 12 August 2026

💧 #小众软件 买不起硬盘了?清华大学开源软件镜像站移除 OpenWrt、Flutter、Anaconda、GitLab EE 4 款镜像 https://www.appinn.com/thu-tuna-removed-openwrt-flutter-anaconda-gitlab-ee/ 清华大学开源软件镜像站发布通知,由于存储资源严重受限,为保证服务正常运行,TUNA 镜像站已经移除了如下镜像:Anaconda、OpenWrt、GitLab EE、Flutter(flutter-sd

2

11 Aug 2026, 14:10 UTC945 views1 reactionsread 12 August 2026

📣 #发现频道 亿方听力大师 ListextEditor —— 开源外语听力音频制作工具 https://meta.appinn.net/t/topic/89824

👍1

11 Aug 2026, 14:10 UTC898 views2 reactionsread 12 August 2026

📣 #发现频道 【开源自荐】🫑Qjiao 面向新手的终端工作区 (macOS 原生) https://meta.appinn.net/t/topic/89823

👍2

11 Aug 2026, 12:10 UTC956 views5 reactionsread 12 August 2026

📣 #发现频道 「静阅」:一套专为小众软件定制的护眼阅读主题 https://meta.appinn.net/t/topic/89820

🤨2🙈21

Showing the 12 most recent of 87 posts we hold for @appinnfeed. 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.

Citation-graph rank

Citation-graph rank — 106,655 of 1,151,006entries 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

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 17 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Appinn Feed|小众软件” (@appinnfeed), 29,704 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/appinnfeed.

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.