Scour noisy feeds for content related to your interests

We've scoured 2500339 posts in the last month from 15834 sources.
Let's find some hidden gems for you.

Features

  • Get a personalized feed of content related to your interests.
  • Scour all 15834 sources (and counting) or subscribe to specific feeds to scour only their content.
  • Works with RSS, Atom, Hacker News, Reddit, Bluesky, Substack, Medium, and more — including blogs that don't have RSS feeds.
  • Identify hidden gems from noisy sources like Hacker News Newest and arXiv.
  • Get feed recommendations based on how well their content matches your interests.
  • Import and export feeds from and for other readers via OPML.
  • Extremely fast. Your personalized feed should load in under 100 milliseconds.

Frequently Asked Questions

What is the difference between Interests and Feeds?

Interests are topics that you've told Scour you want to see content related to.

Feeds are sources that Scour will check for content. You can either have Scour search for content from all 15834 feeds it currently checks or you can subscribe to specific feeds to see only their content.

How are Love/Like/Dislike reactions used?

Loves and likes are saved to your Likes page, so you can use them to bookmark interesting content.

Unlike most content aggregators, Scour does not use reactions to change what shows up in your feed. Instead, reactions are used to generate Interest Recommendations for you. Scour only shows content related to topics you've explicitly chosen.

You can also subscribe to other users' Likes as feeds. Everyone's reactions contribute to the Popular Posts page.

Can I use Scour with another feed reader?

Yes! Every user's personalized feed can be consumed as an RSS/Atom/JSON feed. And, you can get feeds for each of your interests to import those into another feed reader.

Is Scour free?

Yes! I'm also planning to add additional paid features.

Who are you?

I'm Evan Schwartz, a software engineer who likes inventing things. You can find my writing and other projects on my website.

Why are you building this?

I like keeping up with tech and global news. However, there are many great content feeds that are too noisy to keep up with. Aggregators like Hacker News, Lobsters, and Reddit can be nice but they often have plenty of posts that I'm not interested in. Social aggreggators in particular can also miss great content that doesn't happen to go viral (ever tried submitting something to Hacker News, only for it to get buried before it escapes the Newest page?). Scour watches all of these feeds and surfaces only the content that matches your interests.

What tech stack are you using?

Scour is written in Rust using the "MASH" stack. For semantic search, it uses binary vector embeddings generated by the mxbai-embed-large model via Mixedbread's API.

Can you add feature X?

I'm always open to feature requests! Please add your suggestions to the feedback board.

Bookmarklet

You can use the Scour Feed bookmarklet to quickly scour new feeds. Drag the link to your Bookmarks Toolbar or right-click on the link and select "Bookmark Link" to save it.

Sponsors

Scour's embeddings are generously provided for free by Mixedbread. I evaluated and chose the embedding model independently and have been a happy user of their API. They thought Scour seemed like a cool project and offered to sponsor it. I genuinely think they're doing interesting work on embeddings and semantic search, so I was happy to accept their offer.