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Channel

ALL About RSS

@aboutrss

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

9,520subscribers

-58 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001489753190
TypeChannel
Username@aboutrss
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live2 September 2026
Measurements held8
Confirmed unchanged1 time, most recently 2 September 2026
On Telegramt.me/aboutrss

Growth

9,5209,5789,5496 August 2026 — 9,578 subscribers6 August 2026 — 9,578 subscribers13 August 2026 — 9,569 subscribers16 August 2026 — 9,553 subscribers20 August 2026 — 9,543 subscribers26 August 2026 — 9,529 subscribers30 August 2026 — 9,528 subscribers2 September 2026 — 9,520 subscribers6 August 20262 September 2026
8 measurements spanning 27 days, net -58. 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 9,511–9,587 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Sept 2026, 09:039,520-8
30 Aug 2026, 02:459,528-1
26 Aug 2026, 17:139,529-14
20 Aug 2026, 04:539,543-10
16 Aug 2026, 20:439,553-16
13 Aug 2026, 01:349,569-9
6 Aug 2026, 16:339,578no change
6 Aug 2026, 16:279,578first reading

Engagement

23 posts held, back to 7 April 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 33 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.29%
avg views ÷ 9,520 subscribers
Avg views / post
504
3 posts measured
Reaction rate
0.538%
reactions ÷ views · ER floor
Posts in window
3
of 23 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 2 of 3 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 29 August 2026
Posts held23 (7 April 202529 August 2026)
Views total1,511
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 06:02 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

333 reactions across 22 posts, in 12 distinct kinds. The most used accounts for 35.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍11835.4%
10230.6%
😱309.01%
😭278.11%
🤮257.51%
💩133.90%
🤡103.00%
🔥30.901%
🎉20.601%
👎10.3%
😁10.3%
🤔10.3%

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 22 of the 23 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 333 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 7 April 2025 to 29 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

29 Aug 2026, 06:00 UTC24 viewsread 29 August 2026
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FriRSS: FreshRSS 的现代化可自建 Web 前端 感谢开发者提交 PR #135,分享了一款为 FreshRSS 打造的高颜值自托管 Web 前端—— FriRSS: 项目通过 Google Reader API 与 FreshRSS 实例无缝连接,主要特性包括: 🖥 多端阅读体验:桌面端采用经典三栏布局;移动端支持可安装的 PWA,提供滑动手势操作与下拉刷新; 📄 全文与离线支持:内置 Readability 全文提取并支持缓存加速;PWA 支持图文离线阅读与一键离线预加载; 🎨 高度个性化定制:支持完全自定义配色主题、字体字号与列宽,提供可嵌套的多层级标签(Labels)管理系统; 🛡 多用户与多服务器:支持角色权限管理、OIDC 单点登录(SSO)以及在多个 FreshRSS 实例间快速切换; 🐳 极简自建:提供单一 Docker 镜像(支持 amd64 / arm64 架构及树莓派),开箱即用。 🐙

28 Aug 2026, 06:00 UTC612 views2 reactionsread 29 August 2026
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RSStoKindle: 将 RSS 与 Substack 订阅排版推送至 Kindle 感谢开发者提交 PR #130,推荐了一款 RSS2KINDLE 在线服务—— RSStoKindle: 核心特性包括: 📖 全文抽取与排版:支持任意 RSS 源及 Substack 订阅,抓取完整文章并自动排版为结构清晰、带章节目录的电子书; 📬 自动定时推送:通过 Amazon Send-to-Kindle 邮箱机制投递,支持一键即时发送或设定每日早间 Digest 自动投递; 💳 资费方案:免费版支持每日最多 5 篇文章投递;包含插图或更高频次需求可升级为 $60/年的付费计划。 🔗 官网:https://www.rsstokindle.com/ 频道提及过的同类服务还有 WhereMyLife、KindleEar、Reabble、Ktool、SyncReads 等。 📌 #RSS2KINDLE #Kindle #工具

2

27 Aug 2026, 06:01 UTC875 views6 reactionsread 29 August 2026
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eilmeldung: 基于 Rust 的终端 (TUI) 开源 RSS 阅读器 感谢开发者提交 PR #127,分享了一款极速轻量的终端 RSS 阅读器—— eilmeldung(德语“快讯”之意): 项目基于 Rust + Ratatui 构建,并依托 news-flash 核心库开发,具备以下特性: ⚡️ 极速无阻塞:毫秒级秒开启动,操作非阻塞流畅; ⌨️ (Neo)Vim 键位:支持全键盘 Vim 风格操作与快捷导航; 🧘 Zen 专注模式:可隐藏一切边栏干扰,专注于文章正文排版; 🔍 高级查询语言:内置强大的搜索与过滤语法,支持灵活条件过滤、分类与批量打标签; 🖥 多平台支持:支持 Linux (AUR/Nix)、macOS (Homebrew)、Windows (Scoop) 及 NetBSD。 🐙 Repo: https://github.com/christo-auer/eilmeldung 频道提及过

5👍1

2 May 2026, 01:18 UTC≈4,130 views18 reactionsread 29 August 2026
Photo

RSStT Bot 项目招募继任者 RSStT Bot 项目在 GitHub 上获星 2K+,@RSStT_Bot 是 Telegram 上有名的 RSS bot。官方 bot 和自架版我都有在用,一直体验很好。上月,项目开发者开始寻求继任者继续维护该开源项目。希望能有合适人选接力运维。

👍161🔥1

15 Mar 2026, 08:31 UTC≈5,690 views5 reactionsread 29 August 2026
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Dashboard: 无后端需自架的多栏 RSS 订阅器 感谢开发者提交 PR #126,分享了一个无需后端服务器的多栏 RSS 订阅器 Dashboard,纯本地信息存储或可部署于 GitHub Pages: Repository: https://github.com/Rozhovetskyi/Dashboard/ Demo: https://rozhovetskyi.github.io/Dashboard/demo

5

5 Mar 2026, 09:33 UTC≈5,670 views4 reactionsread 29 August 2026
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NebulaPicker: 可自部署的 RSS 生成工具 感谢开发者提交 PR #125,分享了一个可自架的 RSS 生成工具—— NebulaPicker,支持与 Wallabag 集成以实现全文获取: 🐙https://github.com/djsilva99/nebulapicker

4

27 Feb 2026, 02:31 UTC≈5,730 views10 reactionsread 29 August 2026
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Awesome RSSHub Routes 感谢开发者提交 PR #124,分享了 Awesome #RSSHub Routes,包含官网 RSS Feeds 和 RSSHub 的路由,并输出了 #OPML 供一次性导入,且支持及时检测 Feed 可用性。 🔗https://jackyst0.github.io/awesome-rsshub-routes/ 🐙https://github.com/JackyST0/awesome-rsshub-routes/blob/main/readme-zh.md

👍73

23 Feb 2026, 10:01 UTC≈5,200 views2 reactionsread 29 August 2026
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Sponder: 一个 RSS 的中间套件 感谢 PR #123,分享了一款 RSS 中间件工具,支持 #合并 、#过滤 等功能,需付费: https://sponder.app/ 同类工具还包括 feedless \ RSS-lambda \ RSS-Brew 等。

2

2 Jan 2026, 11:04 UTC≈6,770 views17 reactionsread 29 August 2026
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MrRSS: 一个 AI 加持下的多平台 #开源 RSS 阅读器 感谢群友投稿,介绍了一款目前在 GitHub 上 1K+ ⭐️ 的 RSS 阅读器软件: 官网:https://mrrss.ch3nyang.top/ Repo:https://github.com/WCY-dt/MrRSS 「小众软件」的介绍:https://www.appinn.com/mrrss/

16👍1

21 Dec 2025, 08:05 UTC≈6,700 views8 reactionsread 29 August 2026
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ANI-RSS: 基于 RSS 自动追番、订阅、下载、刮削 该项目 #开源,GitHub 上 2K+ ⭐️,支持 Docker/Win/NAS 部署。 网站: https://docs.wushuo.top/ Repo: https://github.com/wushuo894/ani-rss 频道: https://t.me/ani_rss_666

8

13 Oct 2025, 15:00 UTC≈8,630 views63 reactionsread 29 August 2026
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Tiny Tiny RSS 作者将停止维护该项目 项目作者在 #TTRSS 官方论坛发布:The end of tt-rss.org,宣布11月1日终止该项目。目前已有项目贡献者 fork 源码、插件、文档等并转载至 GitHub ,且愿意接棒项目开发和运维: https://github.com/tt-rss/tt-rss 发现于 https://x.com/JeffreyCalm/status/1977632807418745277

😱30😭27👍41😁1

2 Aug 2025, 04:14 UTC≈8,880 views14 reactionsread 29 August 2026
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rssrssrssrss: 一个 feed 合并工具 感谢投稿,向我们推荐了由 Buttondown 开发并 #开源 的一个 RSS feed 合并工具: https://www.rssrssrssrss.com/ 📌#combine-multiple-feeds-into-one

14

Showing the 12 most recent of 23 posts we hold for @aboutrss. 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.

Forward network

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.

Mentions

Named by 4 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.

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.

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 2 September 2026 — this entry's latest reading, not the date you are reading this.

“ALL About RSS” (@aboutrss), 9,520 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/aboutrss.

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.