Popularity bias. The front page shows what the community wants to talk about, not necessarily what you want to read. A few of the articles get most of the eyeballs, and a lot of good content goes unnoticed.

Findka sends different links to each subscriber, so we can give more views to long-tail content. We find the right niche for every article.

Recency bias. Like most websites, Hacker News shows you content that was submitted recently. But great essays are timeless. Findka selects content from its entire catalog of submitted articles, which naturally filters out the stuff that quickly becomes irrelevant. No more current events, politics, or other cruft.