h4cker turns Hacker News into a focused AI-native reading workspace. Browse the original feed, then use a persistent Flue-powered Agent to summarize stories, analyze discussions, research linked sources, and personalize what deserves your attention. First Brief, HN Scout, long-term reading memory, feedback-driven recommendations, and scheduled Agent Digests form a complete Agent loop. The code is publicly available on GitHub under a noncommercial source-available license.
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Hey Product Hunt! I built h4cker because I wanted to learn Flue—an agent framework built on Pi Agent—through a small but complete real-world product. Hacker News felt like the perfect test bed: the source material is public, discussions are rich, and the daily reading workflow is easy to understand.
What started as a faster HN reader grew into a persistent Agent system with First Brief, HN Scout, deep research, long-term reading memory, explicit feedback, and scheduled Agent Digests. Under the hood it uses Flue workflows, typed tools, specialized skills, and bounded read-only subagents, while keeping product data and runtime state clearly separated.
The source is available on GitHub under a noncommercial license. I’d love feedback on whether the Agent actually helps you find and understand higher-signal technical discussions.
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the fact that the agent actually remembers what you care about across sessions is kind of brilliant, like it feels less like a chatbot bolted onto HN and more like a real reading companion that learns your taste
love how you wrapped an agent around hacker news instead of just another feed reader. one thing that would make this way more useful for me: let me save articles to a private reading list from inside the chat, and let the agent pull from that list when generating digests so it learns what i actually care about over time.
the fact that the agent actually remembers what you care about across sessions is kind of brilliant, like it feels less like a chatbot bolted onto HN and more like a real reading companion that learns your taste
@dnez5nl yes~
@dnez5nl thanks Döne
love how you wrapped an agent around hacker news instead of just another feed reader. one thing that would make this way more useful for me: let me save articles to a private reading list from inside the chat, and let the agent pull from that list when generating digests so it learns what i actually care about over time.
@elaezher thanks Ela!