有人在 Windows 11 26H2 上运行了旧版 Edge: https://meta.appinn.net/t/topic/92465 虽然不知道有什么用,但他说:(可能是全球首发?)
☃1

Channel
@appinnfeed
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
33,361subscribers
+3,759 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001073712343 |
|---|---|
| Type | Channel |
| Username | @appinnfeed |
| Description | 这里有小众软件和发现频道的内容更新,以及一个绑定的私有群组。 💬 吹水群:https://t.me/appinn 📖 RSS 订阅地址:https://feeds.feedburner.com/apipnntgfeed 📣 发现频道 @appinnfaxian 在这个频道发布广告(Buy ads on this channel): https://telega.io/c/appinnfeed |
| Created | 28 December 2016 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/appinnfeed |
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 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 17:19 | 33,361 | +55 |
| 15 Sept 2026, 12:39 | 33,306 | +35 |
| 13 Sept 2026, 20:18 | 33,271 | +16 |
| 12 Sept 2026, 00:19 | 33,255 | +21 |
| 9 Sept 2026, 12:21 | 33,234 | +206 |
| 6 Sept 2026, 03:42 | 33,028 | +13 |
| 3 Sept 2026, 20:55 | 33,015 | +25 |
| 2 Sept 2026, 08:54 | 32,990 | +13 |
| 1 Sept 2026, 10:33 | 32,977 | +23 |
| 31 Aug 2026, 07:03 | 32,954 | +17 |
| 30 Aug 2026, 06:03 | 32,937 | +20 |
| 29 Aug 2026, 03:17 | 32,917 | +22 |
| 28 Aug 2026, 01:54 | 32,895 | +23 |
| 27 Aug 2026, 04:42 | 32,872 | +6 |
| 26 Aug 2026, 05:54 | 32,866 | +23 |
| 25 Aug 2026, 04:52 | 32,843 | +20 |
| 24 Aug 2026, 01:03 | 32,823 | +35 |
| 22 Aug 2026, 08:45 | 32,788 | +24 |
| 20 Aug 2026, 22:16 | 32,764 | +38 |
| 19 Aug 2026, 20:03 | 32,726 | first reading |
471 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 83 pages of Telegram’s post history, 20 posts per page.
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 64 of 228 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 471 (3 August 2026 – 26 September 2026) |
| Views total | 213,127 |
| Reactions total | 170 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 18:59 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.
Lifetime counters from Telegram’s own channel header, read 26 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.
322 reactions across 128 posts, in 19 distinct kinds. The most used accounts for 39.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 126 | 39.1% | |
| ❤ | 59 | 18.3% | |
| 😁 | 43 | 13.4% | |
| 👎 | 17 | 5.28% | |
| 🤯 | 15 | 4.66% | |
| 🐳 | 14 | 4.35% | |
| 🤡 | 11 | 3.42% | |
| 💩 | 5 | 1.55% | |
| 😘 | 5 | 1.55% | |
| 🥴 | 5 | 1.55% | |
| 🤣 | 4 | 1.24% | |
| 👀 | 3 | 0.932% | |
| 🤔 | 3 | 0.932% | |
| 🤬 | 3 | 0.932% | |
| 🔥 | 2 | 0.621% | |
| 🙈 | 2 | 0.621% | |
| 🤨 | 2 | 0.621% | |
| 🤷♂ | 2 | 0.621% | |
| ☃ | 1 | 0.311% |
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 159 of the 471 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 329 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 471 most recent posts we hold, published 3 August 2026 to 26 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.
有人在 Windows 11 26H2 上运行了旧版 Edge: https://meta.appinn.net/t/topic/92465 虽然不知道有什么用,但他说:(可能是全球首发?)
☃1
💧 #小众软件 priPrinter:一个「打印前编辑器」,裁剪、标注、多页合一,确认好了再打印 https://www.appinn.com/priprinter/ 很多人都有过这样的经历:打印网页时,最后几行广告单独占了一页;打印 PDF 或 PPT 讲义,打完才发现其实两页、四页合一就足够清晰;合同和资料里,还总会多出一些没必要的页眉页脚信息…… 这些问题往往
👍3
📣 #发现频道 IME 直达:无论当前正在使用什么输入法,按下快捷键,直接开始豆包输入法语音输入 https://meta.appinn.net/t/topic/92463
👍3
📣 #发现频道 【开发者自荐】DockTouchBar:把 Dock 放到 Touch Bar 上,点一下切换应用 https://meta.appinn.net/t/topic/92462
👍1
📣 #发现频道 【开源自荐/效率工具】doubao-susurro 手机语音输入,轻声直接上屏,不会拼音可用 https://meta.appinn.net/t/topic/92459
💧 #小众软件 aria2 下一代?Aria2 Next 原生支持 .m3u8、电驴下载 https://www.appinn.com/aria2-next/ 十多年来,aria2 一直是功能最强大的开源下载引擎之一,但它已经 3 年多没有更新了。@Appinn 有开发者基于 aria2 分支创建了新项目:Aria2 Next,宣称是重新定义下一代 aria
👍3🤔3
我已经是一名合格的搬运工了
👍3
📣 #发现频道 Noiseless,尝试用 LLM 过滤信息噪声 https://meta.appinn.net/t/topic/92446
📣 #发现频道 【开发者自荐】Piko:开源的 PikPak 第三方客户端(Android / Windows) https://meta.appinn.net/t/topic/92445
💧 #小众软件 Hermes 提供 7 款免费模型,从安装到选择模型 https://www.appinn.com/hermes-7-free-models/ Hermes 是与 OpenClaw 类似的 AI Agent 软件,目前提供了七款免费模型,只需要在 hemers models 直接登录 Nous Portal 即可使用,但需要绑定信用卡。@Ap
📣 #发现频道 Epic手机喜加一 《Cardpocalypse》截止10.1 https://meta.appinn.net/t/topic/92438
人人都是开发者
😁4❤1
Showing the 12 most recent of 471 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 26 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
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.
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.
This channel appears in 29 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.
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.
“Appinn Feed|小众软件” (@appinnfeed), 33,361 subscribers as measured 17 September 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.