Limit for Bluesky

Limit is an alternative app for Bluesky.
Real Bookmarks For Your Bluesky

EXCLUSIVE: First iOS app for Bluesky that supports comfortable OAuth login.
BREAKTHROUGH: First app to store bookmarks directly on your PDS.
Your bookmarks live with YOUR data on the AT Protocol, not trapped in our app. True data ownership.

Key Features

True AT Protocol Bookmarks
• Saved directly to your PDS (Personal Data Server)
• You OWN your bookmarks, not us
• Organized with custom lists and folders
• Your data stays even if our app disappears
• Export anytime via AT Protocol

Social Interaction
• Streamlined posting and commenting
• Browse, follow, and search freely
• AI Explain for any confusing posts

Smart Position Memory
• Automatically picks up where you left off
• Seamless switching between feeds and lists

AI Assistance
• Summarize any link with one tap
• Get on-the-spot explanations of complex posts

Trending News
• See the most shared links on Bluesky in real time
• Discover what’s buzzing without leaving your feed
• Stay on top of news everyone is talking about

Local Favorites
• Save posts and links straight to your device
• Build your personal offline library

Easy Lists
• Create custom lists in seconds
• Filter feeds by topic, people, or interests

Philosophy

Limit removes the addictive feedback loops of social media so you can focus on what matters—reading, learning, posting when you choose, and discovering quality content.

Why This Matters

Other apps save bookmarks in their own databases or just locally. When they shut down or you delete the app, your saves vanish. Limit stores bookmarks on YOUR personal data server using AT Protocol. Even if Limit disappears tomorrow, your bookmarks remain in your data—ready for any future app that supports them. This is what true data ownership looks like.

And with Trending News, you don’t have to endlessly scroll to know what matters. The app surfaces the most shared links on Bluesky, so you get a clear snapshot of what the community is talking about—without the noise or algorithmic traps.