Evan Schwartz

Hi friends, Many of you mistakenly got onboarding emails yesterday. I'm sorry about that. I was tweaking the way emails are sent to new users and accidentally sent it out to everyone. Don't worry, you'll get your weekly digest on Friday as usual. (If you got a message about verifying your email, please do verify yours if you'd like to continue receiving the weekly digests.) In June, Scour scoured 841,977 articles from 27,356 feeds, and 123 new users signed up. Welcome! Here's what's new in the…

Hi friends, In May, Scour scoured 865,266 posts from 28,671 feeds (1,766 of which were newly added), and 260 new users signed up to bring it across the 3,000 user mark! Here's what's new in the product: 🔎 Smarter Interest MatchingScour is now better at finding posts that match your interests. You should see more relevant content and far fewer off-topic articles in your feed. (This sounds simple, but it represents at least a full month's effort 😅.) The way this works under the hood was one of…

Hi friends, In April, Scour scoured 778,059 posts from 25,790 feeds. This month, my focus was on ranking improvements and adding a number of new features: 🔃 Ranking ImprovementsScour is designed to find hidden gems that interest you, while trying to avoid using popularity signals or pigeonholing you into a narrow slice of content simply because you clicked on one thing (you can read the ranking philosophy here). Your Scour feed now subtly adjusts based on which content you click on, like, or…

“If it compiles, it works.” This feeling is one of the main things Rust engineers love most about Rust, and a reason why using it with coding agents is especially nice. After debugging some code that compiled but mysteriously stopped in production, I realized that it’s useful to enable more Clippy lints to catch bugs that the compiler won't prevent by itself. It's especially useful as guardrails for coding agents, but stricter linting can make your code safer, whether or not you’re coding with…

Feed diversity overhaul, domain and topic affinity, inline reactions, and exact keyword matching.