推荐一个开源项目 Horizon，一个专门盯海外科技圈的 AI 信息雷达。

它会自动聚合 Hacker News、Twitter、Reddit、GitHub 等平台内容，再用 AI 做筛选、去重和总结，把真正有价值的信息整理成日报。

比较实用的是：

• AI 自动给内容打分，低质量直接过滤
• 提取 Reddit / HN 里的高质量评论和观点
• 自动补充陌生公司、技术背景
• 同一新闻全网去重
• 支持生成中英双语简报
• 可推送到飞书、邮箱、微信等渠道

如果你平时靠刷海外社区获取信息，这类工具确实能减少很多“信息噪音”。

GitHub： https://github.com/Thysrael/Horizon…

Thysrael/Horizon

Source: https://github.com/Thysrael/Horizon

Screenshots

Ranked Daily Briefing

Context, Summary & Discussion

More Screenshots

Terminal Output

Feishu Notification

Email Delivery

Why Horizon?

Good news is scattered; bad news is endless. Horizon gives you a personal first pass over Hacker News, Reddit, Telegram, RSS, and GitHub: it fetches, deduplicates, scores, filters, and enriches stories with background context and community discussion.

But Horizon is not just another summarizer. AI is great at reducing noise, but news still needs human taste: the sources you trust, the comments that change how you read a story, and the hidden gems only people can share. Horizon keeps that human layer in the loop with customizable sources, thresholds, models, languages, delivery channels, comment summaries, and a community source hub.

Features

• 📡 Watch Your Own Sources — Track Hacker News, RSS, Reddit, Telegram, Twitter/X, GitHub releases or user activity, and OpenBB financial news watchlists in one pipeline
• 🤖 Turn Noise Into a Reading List — Score each item from 0-10 with Claude, GPT, Gemini, DeepSeek, Doubao, MiniMax, Ollama, or any OpenAI-compatible API
• 🔗 Merge Repeated Stories — Deduplicate the same story across platforms before it reaches your briefing
• 🔍 Understand the Background — Add web-researched context for unfamiliar concepts, companies, projects, and technical terms
• 💬 Read the Conversation — Collect and summarize community comments from Hacker News, Reddit, and other supported sources
• 🌐 Publish in Two Languages — Generate English and Chinese daily briefings from the same source set
• 📝 Ship a Daily Site — Publish generated Markdown as a GitHub Pages daily briefing site
• 📧 Deliver by Email — Run a self-hosted SMTP/IMAP newsletter with automatic subscribe and unsubscribe handling
• 🔔 Push to Chat or Automations — Send templated results to Feishu/Lark, DingTalk, Slack, Discord, or custom webhook endpoints
• 🧙 Start From Your Interests — Use the setup wizard to generate a personalized source configuration
• ⚙️ Tune the Radar — Customize sources, thresholds, models, languages, and delivery channels from one JSON config

How It Works

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  "themeVariables": {
    "fontFamily": "ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, Segoe UI, sans-serif",
    "fontSize": "18px",
    "primaryTextColor": "#2d2a3e",
    "primaryBorderColor": "#e0dbd3",
    "lineColor": "#7c7891",
    "tertiaryColor": "#faf8f5",
    "clusterBkg": "#f3f0eb",
    "clusterBorder": "#e0dbd3"
  }
}}%%
flowchart LR
    classDef config fill:#fbbf24,stroke:#d4a017,color:#2d2a3e,stroke-width:1.5px;
    classDef source fill:#ede7fb,stroke:#6d4aaa,color:#2d2a3e,stroke-width:1.5px;
    classDef process fill:#ffe8db,stroke:#e0652e,color:#2d2a3e,stroke-width:1.5px;
    classDef output fill:#f9d7e5,stroke:#be185d,color:#2d2a3e,stroke-width:1.5px;

    config["⚙️ Config<br/>sources, thresholds, models, outputs"]

    subgraph sources["Configured Sources"]
        rss["📡 RSS"]
        hn["📰 Hacker News"]
        reddit["💬 Reddit"]
        telegram["✈️ Telegram"]
        twitter["🐦 Twitter / X"]
        github["🐙 GitHub"]
        openbb["💹 OpenBB"]
    end

    fetch["📥 Fetch"]
    dedup["🧹 Deduplicate"]
    score["🤖 AI Score & Filter"]
    enrich["🔎 Enrich"]
    summary["📝 Summarize"]

    subgraph outputs["Outputs"]
        direction TB
        site["🌐 Pages"]
        email["📧 Email"]
        webhook["🔔 Webhooks"]
        mcp["🧩 MCP"]
    end

    config --> fetch
    rss --> fetch
    hn --> fetch
    reddit --> fetch
    telegram --> fetch
    twitter --> fetch
    github --> fetch
    openbb --> fetch

    fetch --> dedup --> score --> enrich --> summary
    config --> score
    config --> summary
    config --> outputs

    summary --> site
    summary --> email
    summary --> webhook
    summary --> mcp

    class config config
    class rss,hn,reddit,telegram,twitter,github,openbb source
    class fetch,dedup,score,enrich,summary process
    class site,email,webhook,mcp output

1. Define — Configure sources, thresholds, models, languages, and delivery from one JSON config.
2. Fetch — Pull latest content from all configured sources concurrently.
3. Deduplicate — Merge items pointing to the same story or URL across platforms.
4. Score & Filter — Use AI to rank items and keep only those above your threshold.
5. Enrich — Search the web for background context and collect community discussion for important items.
6. Summarize — Generate a structured Markdown briefing with summaries, tags, and references.
7. Deliver — Publish the result to GitHub Pages, email, webhooks such as Feishu, MCP, or local files.

Quick Start

1. Install

Option A: Local Installation

git clone https://github.com/Thysrael/Horizon.git
cd Horizon

# Install with uv (recommended)
uv sync

# Install test/development extras when needed
uv sync --extra dev

# Or with pip
pip install -e .

dev is currently defined as an optional extra in pyproject.toml, so use uv sync --extra dev for pytest and other development dependencies.

If you want the optional OpenBB financial-news source, install its extra too:

uv sync --extra openbb

If openbb pulls packages without wheels on your machine, install the SDK manually with binaries only:

uv pip install --only-binary=:all: openbb openbb-benzinga

Option B: Docker

git clone https://github.com/Thysrael/Horizon.git
cd Horizon

# Configure environment
cp .env.example .env
cp data/config.example.json data/config.json
# Edit .env and data/config.json with your API keys and preferences

# Run with Docker Compose
docker-compose run --rm horizon

# Or run with custom time window
docker-compose run --rm horizon --hours 48

2. Configure

Option A: Interactive wizard (recommended)

uv run horizon-wizard

The wizard asks about your interests (e.g. “LLM inference”, “嵌入式”, “web security”) and auto-generates data/config.json.

Option B: Manual configuration

cp .env.example .env          # Add your API keys
cp data/config.example.json data/config.json  # Customize your sources

Minimal manual configuration:

{
  "ai": {
    "provider": "openai",
    "model": "gpt-4",
    "api_key_env": "OPENAI_API_KEY"
  },
  "sources": {
    "rss": [
      { "name": "Simon Willison", "url": "https://simonwillison.net/atom/everything/" }
    ]
  },
  "filtering": {
    "ai_score_threshold": 6.0
  }
}

Any string value in data/config.json can reference environment variables with ${VAR_NAME}. This is useful for values such as ai.base_url, private RSS feed URLs, webhook endpoints, or custom header templates.

For the full reference, see the Configuration Guide.

3. Run

Local Installation

uv run horizon           # Run with default 24h window
uv run horizon --hours 48  # Fetch from last 48 hours

With Docker

docker-compose run --rm horizon           # Run with default 24h window
docker-compose run --rm horizon --hours 48  # Fetch from last 48 hours

The generated report will be saved to data/summaries/.

4. Automate (Optional)

Horizon works great as a GitHub Actions cron job. See .github/workflows/daily-summary.yml for a ready-to-use workflow that generates and deploys your daily briefing to GitHub Pages automatically.

Supported Sources

Where Your Briefing Goes

Horizon can publish or deliver the generated briefing in several ways:

For setup details, see the Configuration Guide. For MCP tool references and client setup, see src/mcp/README.md and src/mcp/integration.md.

Documentation

Project Status

Horizon already supports the full daily briefing loop: multi-source collection, AI scoring, deduplication, enrichment, comment summaries, bilingual generation, GitHub Pages publishing, email delivery, webhook delivery, Docker deployment, MCP integration, and the setup wizard.

Planned improvements:

• More source types, such as Discord
• Custom scoring prompts per source
• Publish releases on GitHub
• Publish the package to PyPI for pip install

Contributing

Contributions are welcome. See CONTRIBUTING.md for code, documentation, and source-sharing guidelines.

Share Sources

Want to share valuable source discoveries with the Horizon community? Please submit them through horizon1123.top.

Acknowledgements

• Special thanks to LINUX.DO for providing a promotion platform.
• Special thanks to HelloGitHub for valuable guidance and suggestions.
• Special thanks to AIGC Link for the promotions on XiaoHongShu.

License

MIT