迁移网易云/汽水/QQ音乐歌单至Apple/Youtube/Spotify Music 1. 粘贴原歌单链接 2. 获取并复制歌曲列表 3. 粘贴列表文本导入目标平台:Spotify官方/TuneMyMusic 官网:https://music.unmeta.cn GitHub:https://github.com/Bistutu/GoMusic 标签:#开源 #音乐

Channel
iGitHub
@iGitHub
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
5,326subscribers
+35 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 | -1001955728261 |
|---|---|
| Type | Channel |
| Username | @iGitHub |
| Description | 分享一些适用的GitHub开源项目 更多分享 @lihaiba |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/iGitHub |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 22:43 | 5,326 | +13 |
| 9 Aug 2026, 05:51 | 5,313 | +20 |
| 6 Aug 2026, 14:01 | 5,293 | +2 |
| 6 Aug 2026, 06:47 | 5,291 | first reading |
Engagement
21 posts held, back to 1 July 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 39.5%
- avg views ÷ 5,326 subscribers
- Avg views / post
- 2,110
- 6 posts measured
- Reaction rate
- 0.091%
- reactions ÷ views · ER floor
- Posts in window
- 6
- of 21 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 4 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 21 (1 July 2025 – 6 August 2026) |
| Views total | 12,630 |
| Reactions total | 9 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 04:27 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
- 127
- Links
- 173
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
60 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 45 | 75.0% | |
| 👍 | 9 | 15.0% | |
| 😁 | 6 | 10.0% |
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 19 of the 21 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 72reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 1 July 2025 to 6 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
Uninstally:基于 SwiftUI 构建的原生卸载工具 Uninstally 是一款使用 SwiftUI 构建的 macOS 原生卸载程序。它可以移除应用程序及其残留文件,管理 Homebrew 软件包,并可通过简单的右键单击直接从 Finder 卸载应用程序 GitHub 标签: #工具 #MacOS #App #开源
❤2
▎PortBridge PortBridge 是一个轻量、跨平台、本地私有化的 SSH 本地端口转发桌面客户端,开源免费使用 GitHub 标签:#工具 #Windows #MacOS #Linux
❤2
▎💻 微软 PowerToys Microsoft PowerToys 是一套实用工具集,可显著提升 Windows 系统的生产力和自定义程度 GitHub 官方介绍 标签:#插件 #Windows #开源
▎BilibiliDown (GUI-多平台支持) B站 哔哩哔哩视频下载器。支持夜间再看、收藏夹、UP主视频批量下载|哔哩哔哩视频下载器 GitHub 标签:#下载 #B站 #开源
❤2
SakuraMedia 面向 NAS 用户的 NSFW 观影平台 - 一个足以杀死Jav比赛的项目 GitHub 官方介绍 标签:#NAS
❤3
Prompt Optimizer 它可以帮你一键优化、测试和对比 AI 提示词,支持系统提示词与用户提示词,兼容 OpenAI、Gemini、DeepSeek 等多模型 可网页使用、桌面端运行、Chrome 插件安装或 Docker 私有部署;数据可直接在本地浏览器保存。 适合经常写提示词、做 AI 工作流或想把常用提示词沉淀成资产的朋友。 GitHub 官网在线 标签:#AI #工具
❤1
JZSub 给 JZSub 一个视频链接,拿回最高画质视频、封面、双语字幕和烧录完成的 MP4 GitHub 标签:#工具 #下载
▎👨💻 Shadowrocket 使用手册 本使用手册以 Shadowrocket 官方群组 使用的关键词列表文件为基础进行完善更新,包含软件多数功能的介绍和部分常见问题及解答。本仓非官方仓库,仅由社区进行维护 GitHub 官网 懒人配置: https://lowertop.github.io/Shadowrocket/lazy_group.conf https://raw.githubusercontent.com/LOWERTOP/Shadowrocket/main/lazy_group.conf 标签:#规则 #Shadowrocket #科学上网
❤7
👨💻macUSB 下载。刷写。启动。一体化 macOS USB 创建工具 一键把MacOS系统刷进U盘,给Mac重装系统推荐,操作简单,直接软件上下载 GitHub 标签:#开源 #Mac
❤6
Buzz Buzz 可以在您的个人电脑上离线转录和翻译音频。它由 OpenAI 的 Whisper 提供技术支持。 1.高准确率:基于OpenAl开源的Whisper自动语音识别模型,这是一款非常强大的机器学习模型 2.转换速度快:Buzz的模型都离线存在本地,转换过程无需联网,因此转换速度很快,适合批量转换语音跨平台支持 Windows / macOs / Linux 3.支持中文,也支持很多个国家的语言,还能将结果翻译,不过只能翻译成英文 GitHub 标签:#工具 #Mac #Windows #Linux
❤5
Gemini 神级插件— Gemini Voyager Google Gemini & AI Studio 全能增强插件:集成时间轴导航、文件夹管理、提示词库及聊天导出等众多功能。 GitHub 官网 Chrome扩展程序 标签:#扩展 #浏览器 #AI
👍5❤1
Showing the 12 most recent of 21 posts we hold for @iGitHub. 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 — 941,791 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.
Mentions
Named by 1 registered channel — 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.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“iGitHub” (@iGitHub), 5,326 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/iGitHub.
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.