Bottom Line: NewsBlur survives the death of Google Reader not by clinging to the past, but by demanding you take active control of your information diet through an incredibly robust, albeit complex, machine-learning filter.
The Mechanics of Triage
The core loop of NewsBlur revolves around its Intelligence Training system. It is a feature that requires upfront labor but pays massive dividends. Most RSS readers operate sequentially—you read what was published most recently. NewsBlur allows you to program its behavior. By assigning a thumbs-up or thumbs-down to a specific author ("Downvote opinion columnists I hate") or a tag ("Upvote 'machine learning', downvote 'cryptocurrency'"), you actively construct a customized relevance engine. Over time, the interface color-codes your feed: green for high-priority stories, yellow for unread items, and red for hidden content. This isn't an algorithm guessing what you want based on dwell time; it is a rigid, rule-based system executing your exact commands.
This degree of control is exhilarating for power users but introduces significant onboarding friction. The interface is dense. It is packed with dials, sliders, and nested menus. When you first import an OPML file containing hundreds of subscriptions, the sheer volume of data, coupled with the immediate prompt to start training the engine, can feel overwhelming. You are not just reading the news; you are managing a database.
The Reading Experience
Once the initial setup is complete, the utility of NewsBlur becomes undeniable. The reading environment itself is highly functional. The "Original Site" view is a particularly clever workaround for publishers who only provide summary RSS feeds. Instead of forcing you to click out to a browser and break your reading rhythm, NewsBlur acts as an internal browser, rendering the full site layout. It is a technical feat that largely succeeds, though complex, ad-heavy publisher sites can occasionally cause performance stutters within the app wrapper.
The social aspect, Blurblogs, is a fascinating artifact of the pre-algorithmic web. It mimics the old Google Reader share functionality, allowing you to append thoughts to an article and push it to followers. It feels quiet and deliberate. It lacks the virality of X or the aesthetic pressure of Instagram; it is simply a mechanism for sharing context with a self-selected group of peers. It works brilliantly, provided you can convince your network to adopt the platform.