DevRadar

AI-powered developer intelligence radar - aggregate, analyze, and track tech trends from GitHub, Hacker News, Product Hunt, and more.

AI 驱动的开发者情报雷达 - 聚合、分析和追踪来自 GitHub、Hacker News、Product Hunt 等平台的技术趋势。

Stop doom-scrolling tech Twitter. Let DevRadar do the scouting. 告别刷推特焦虑，让 DevRadar 替你侦察。

DevRadar is a CLI tool that aggregates developer intelligence from multiple sources, uses AI to analyze trends, and delivers a personalized tech briefing - right in your terminal. DevRadar 是一个命令行工具，聚合多个来源的开发者情报，使用 AI 分析趋势，并在终端中为你提供个性化的技术简报。

Why DevRadar? / 为什么选择 DevRadar?

• Multi-source aggregation - GitHub Trending, Hacker News, Product Hunt, Reddit, RSS feeds
• 多源聚合 - GitHub 趋势、Hacker News、Product Hunt、Reddit、RSS 订阅
• AI-powered analysis - Summarize, classify, and score projects by relevance to YOUR interests
• AI 驱动的分析 - 根据你的兴趣总结、分类和评分项目
• Personalized radar - Define your tech stack and interests, get only what matters
• 个性化雷达 - 定义你的技术栈和兴趣，只获取重要的内容
• Trend detection - Spot rising projects before they hit mainstream
• 趋势检测 - 在项目成为主流之前发现它们
• Daily briefing - Auto-generated morning report of what's new in your world
• 每日简报 - 自动生成的早间报告，告诉你世界里发生了什么
• Beautiful terminal UI - Rich-formatted output, no browser needed
• 美观的终端界面 - 富文本格式输出，无需浏览器

Quick Start / 快速开始

# Install / 安装
pip install devradar

# First run - interactive setup / 首次运行 - 交互式设置
devradar init

# Scan all sources now / 立即扫描所有数据源
devradar scan

# Get today's briefing / 获取今日简报
devradar briefing

# Watch mode - live updates / 监视模式 - 实时更新
devradar watch

# Add a custom source / 添加自定义源
devradar source add https://example.com/rss

Commands / 命令

Command	Description	描述
devradar init	Interactive setup - choose interests & configure sources	交互式设置 - 选择兴趣并配置数据源
devradar scan	Aggregate from all configured sources	聚合所有已配置的数据源
devradar briefing	Generate AI-powered daily briefing	生成 AI 驱动的每日简报
devradar watch	Live monitoring with auto-refresh	实时监控，自动刷新
devradar trending	GitHub trending repos (language/time filter)	GitHub 趋势仓库（语言/时间筛选）
devradar hn	Top Hacker News stories with AI summary	Hacker News 热门故事，AI 摘要
devradar source	Manage information sources (add/remove/list)	管理数据源（添加/删除/列表）
devradar config	View/edit configuration	查看/编辑配置
devradar export	Export report as Markdown/JSON/HTML	导出报告为 Markdown/JSON/HTML
devradar analyze <owner/repo>	Analyze a specific GitHub repository	分析特定的 GitHub 仓库

AI Features (Optional) / AI 功能（可选）

DevRadar works great without AI. But with an OpenAI-compatible API key: DevRadar 无需 AI 也能很好地工作。但如果配置 OpenAI 兼容的 API 密钥：

# Set your API key / 设置你的 API 密钥
export OPENAI_API_KEY=sk-...

# AI-powered briefing with personalized analysis / AI 驱动的个性化简报
devradar briefing --ai

# Get AI score for a specific project / 获取特定项目的 AI 评分
devradar analyze owner/repo

AI features / AI 功能:

• Smart summarization - Condense 50-item feeds into 5-sentence briefings
• 智能摘要 - 将 50 条内容压缩成 5 句话的简报
• Relevance scoring - Rate each item against your configured interests
• 相关度评分 - 根据你配置的兴趣对每条内容评分
• Trend prediction - Identify which new projects are likely to blow up
• 趋势预测 - 识别哪些新项目可能会爆发
• Cross-source analysis - "This HN topic matches a GitHub repo trending in Python"
• 跨源分析 - "这个 HN 话题与 Python 趋势中的一个 GitHub 仓库匹配"

Configuration / 配置

Config file / 配置文件: ~/.devradar/config.yaml

interests:
  - ai-agents
  - python
  - developer-tools
  - open-source
  
sources:
  github:
    enabled: true
    languages: [python, typescript, rust]
    since: weekly
  hackernews:
    enabled: true
    min_points: 100
  producthunt:
    enabled: true
    topics: [developer-tools, ai]
  rss:
    - name: "TechCrunch AI"
      url: "https://techcrunch.com/category/artificial-intelligence/feed/"

ai:
  enabled: true
  model: gpt-4o-mini
  base_url: https://api.openai.com/v1

output:
  format: terminal  # terminal | markdown | json | html
  max_items: 20

Architecture / 架构

DevRadar
├── sources/          # Data source connectors / 数据源连接器
│   ├── github.py     # GitHub Trending + API
│   ├── hackernews.py # HN API
│   ├── producthunt.py
│   └── rss.py        # Generic RSS/Atom
├── analyzers/        # Processing pipeline / 处理管道
│   ├── classifier.py # Tag & categorize items / 标签和分类
│   ├── scorer.py     # Relevance scoring / 相关度评分
│   ├── summarizer.py # AI summarization / AI 摘要
│   └── tracker.py    # Trend detection over time / 趋势追踪
├── output/           # Rendering / 渲染
│   ├── terminal.py   # Rich terminal UI
│   ├── markdown.py
│   └── html.py
└── cli.py            # Click-based CLI

Development / 开发

# Clone / 克隆
git clone https://github.com/chaobs/devradar.git
cd devradar

# Setup / 设置
pip install -e ".[dev]"

# Run tests / 运行测试
pytest

# Lint / 代码检查
ruff check devradar/

Contributing / 贡献

Contributions are welcome! Especially: 欢迎贡献！特别欢迎：

• New data source connectors (Reddit, DevTo, Lobsters, etc.)
• 新的数据源连接器（Reddit、DevTo、Lobsters 等）
• AI analysis plugins / AI 分析插件
• Output format templates / 输出格式模板
• Bug fixes & improvements / Bug 修复和改进

See CONTRIBUTING.md for guidelines. 查看 CONTRIBUTING.md 了解更多指南。

License / 许可证

MIT License - see LICENSE for details. MIT 许可证 - 查看 LICENSE 了解更多详情。

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Built with care for developers who'd rather code than scroll. 为那些宁愿写代码也不想刷推的开发者精心打造。