4.7
900 条评分
★★★★★
2026年4月29日
2023年6月6日
更新内容
v7.123.0Thank you for using Sink It. We've been hard at work to keep pace with reddit's changes. - [New UI] New "use the app" nag removed by default. - [New UI] Fixes for NSFW banner removal to handle reddit changes. - [New UI] New login nag removed for logged out users. - [New UI] Fully deprecated adaptive and permanent dark modes.
应用信息
- 开发者
- Tony Sundharam
- 分类
- Utilities
- 价格
- 免费
- 版本
- 7.123.0
- App ID
- 6449873635
简介
Sink It for Reddit is a hyper focused Safari extension that makes Reddit's web version usable. Features a ton of quality of life improvements including color coded comments, content muting, adaptive dark mode and more. Tired of seeing too many banners and buttons asking you to use the app or login? Sink It silently, and safely, removes all of them as well as the "promotional" content too! Make the "Modern" Reddit Experience Usable ------------------------------------------- Supercharge your Reddit experience with color coded comments, improved comments navigation, adaptive dark mode, content muting, and so much more. Sink It also de-clutters and removes most “omfg please use our app” banners and buttons as well as the annoying login popups from Reddit in addition to removing advertisements. Yeah, we loathe them too! Privacy First -------------- Sink It has been built with a privacy first approach. - All the blocking happens on your device with literally ZERO data being recorded or sent back to be data mined. - We don't keep usage data like the count of how many popups and banners it has blocked or links it has redirected. - We don't even come with basic app analytics or telemetry to keep track of how many times you've opened or use the app. - It does check whether you have dark mode on or not so it can show you the correct tutorial video. (I hate opening a bright video on dark mode as much as you.) If you're a security researcher, feel free to poke around to make sure the app isn't up to anything funky.
下载量预测
预估总下载量
2K
低 / 月
3K
预估 / 月
5K
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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