展示HN：黑客拍档 – 一眼看出优秀的（和糟糕的）HN评论者

展示HN：黑客拍档 – 一眼看出优秀的（和糟糕的）HN评论者
Show HN: Hacker Smacker – spot great (and terrible) HN commenters at a glance

## 黑客粉碎者：过滤 Hacker News 黑客粉碎者是一款浏览器扩展，旨在通过帮助用户快速识别有价值的评论者来改善 Hacker News 的体验。它受到 Slashdot 的朋友/敌人系统的启发，在作者姓名旁边添加光环，允许用户将他们标记为“朋友”或“敌人”。其关键功能是可视化连接——查看你的朋友的朋友（和敌人）——以便在冗长的评论线程中发现高质量的贡献。这可以实现高效的扫描，并减少在网站上花费的时间。黑客粉碎者使用 Redis、CoffeeScript 和 Node.js 构建，主要是一个学习项目，专注于实现“朋友的朋友”（FoaF）系统。开发者成功地将这些知识应用于构建 NewsBlur 的社交层，并打算在未来的项目中利用该技术。该项目是开源的，并且可在 GitHub 上获取。

## 黑客拍打器：黑客新闻的助力还是阻力？黑客拍打器 (hackersmacker.org) 是一款新工具，为黑客新闻增加了“好友”和“敌人”功能，让用户可以快速识别他们喜欢或不喜欢评论的人。它在用户名旁边显示彩色光球，并利用“朋友的朋友”系统——突出显示你的联系人信任的评论者。黑客拍打器使用 CoffeeScript、Node.js 和 Redis 构建，可作为 Chrome、Edge、Firefox 和 Safari 的浏览器扩展程序使用。该创建者受到 Slashdot 系统的启发，最初于 2011 年开发了它，最近添加了身份验证。早期的讨论集中在它可能对 HN 的声望系统产生的影响，以及“敌人”标签可能具有的对抗性，并提出了“忽略”或“互动”等替代术语的建议。该工具旨在改善评论线程的导航，并根据可信赖的网络展示有价值的贡献。

原文

Synopsis

Hacker Smacker helps you identify quality authors and filter out obnoxious commenters on Hacker News. Three little orbs appear next to every author's name and you can choose to either friend or foe them.

If you friend people, and they also use Hacker Smacker, you'll see all of your friend's friends and foes. This helps you identify commenters that you want to read as you quickly scan a comment thread.

I've found that this reduces the time I spent on Hacker News, as I can glance at long comment threads and just find the good stuff.

Hacker Smacker is directly inspired by Slashdot's friend/foe system. Hacker Smacker is also open-source and is available on GitHub.

Background

Hacker Smacker was built to learn how FoaF (Friend of a Friend) works. The idea is that not only do you want to surface content from your friends, but if you chose your friends well, they can help you surface more great content by highlighting comments from their friends.

The impetus for building a small system where the primary goal is simply to quickly show relationships was that I wanted to build the same system for NewsBlur, a visual RSS feed reader with intelligence. The backend is built using Redis sets and CoffeeScript/Node.js. NewsBlur's social layer, which was built immediately after this project, uses a very similar backend.

Learning how to build this project was the main reason, as I am now able to bring this technique to other projects.