Horizon

🌅 Horizon

Enjoy the News itself. Leave others to Horizon

📡 Your own AI-powered news radar. Generates daily briefings in English & Chinese. | 构建你专属的 AI 新闻雷达

📖 Live Demo · 📋 Configuration Guide · 💬 QQ Group · 简体中文 · 日本語

Screenshots

More Screenshots

Why Horizon?

Good reads are scattered across feeds, forums, and timelines. Your attention isn't unlimited. Horizon collects, filters, and deduplicates them, then brings the worthwhile ones to you with context and community discussion.

Your taste shapes what you read—and what you want from it. A news story calls for “why it matters”; an engineering deep dive calls for “what I can use.” Horizon's profiles give each kind of content its own scoring criteria and output, for a briefing that feels handpicked.

Features

• 📡 Bring Your Sources Together — Follow RSS, Hacker News, Reddit, Telegram, X, GitHub, financial news, and more.
• 🎯 Decide What's Worth Reading — Define scoring rubrics with profiles, set individual thresholds, and merge repeated stories within each profile.
• 🧩 Give Every Read the Right Treatment — Choose summaries, context, solutions, or takeaways with Markdown prompts and JSON block definitions.
• 💬 Go Beyond the Headline — Add web-researched background and community discussion where they help explain the story.
• ⚖️ Make Room for All Your Interests — Cap the briefing's length and each category's share so one busy topic doesn't crowd out the rest.
• 📬 Read Where You Already Are — Generate English and Chinese briefings as Markdown, publish to Pages, or deliver by email and webhook.

One Briefing, Different Ways to Read

A profile is a reusable set of editorial rules: what belongs, what's worth keeping, and what to write. Built-in examples:

What you follow	Profile	What you get
Technology news	tech-news	Events and context, with impact and community discussion when useful
Engineering deep dives	tech-blog	Background, solution, and practical takeaways
AI creator material	ai-creator	A summary, with timely hooks and content angles when useful

Assign a profile to a source, or let AI choose. Want a different take? Adapt an existing profile—usually without changing Python. Make a profile your own →

How It Works

Editable OmniGraffle source

Profiles define the treatment; runtime settings reflect your reading preferences. Each item routes to one profile. Analysis, filtering, and deduplication happen before enrichment, then the selected items become a briefing grouped by profile.

Run the full pipeline through the CLI, or let an AI assistant call its stages through MCP.

Quick Start

1. Install

Option A: Local Installation