Thysrael/Horizon

What it solves

Horizon is an AI-powered news radar designed to combat information overload by transforming scattered news from multiple platforms into a personalized, high-quality daily briefing. It moves beyond simple summarization by incorporating user taste, trusted sources, and community discussions to filter out noise and highlight "hidden gems."

How it works

Horizon operates through a multi-stage pipeline:

1. Define: The user configures sources, AI models, and delivery channels.
2. Fetch: It concurrently pulls content from sources like Hacker News, Reddit, RSS, Telegram, Twitter/X, GitHub, and OpenBB.
3. Deduplicate: It merges identical stories found across different platforms.
4. Analyze & Filter: AI analyzes items against processing profiles and applies a user-defined score threshold to filter out low-value content.
5. Enrich: The system adds web-researched background context for unfamiliar terms or companies.
6. Summarize: It renders the final results into a localized Markdown briefing (supporting English and Chinese).
7. Deliver: The report is published via GitHub Pages, email newsletters, webhooks (Slack, Discord, etc.), or an MCP server.

Who it’s for

It is built for users who want a curated, automated news feed tailored to their specific interests without manually browsing multiple sites or dealing with theendless noise of social media.

Highlights

• Multi-Platform Integration: Supports a wide array of sources including financial news via OpenBB and developer activity via GitHub.
• Community Insights: Collects and summarizes top comments from platforms like Reddit and Hacker News to provide social context.
• Contextual Enrichment: Automatically researches unfamiliar concepts to provide background information within the briefing.
• Flexible Delivery: Offers diverse output options from self-hosted email newsletters to automated GitHub Pages sites.
• Interactive Setup: Includes a setup wizard to help users generate personalized configurations based on their interests.