productHuntAnalyst

productHuntAnalyst

Enables AI agents to fetch and analyze Product Hunt trending products over 1-4 week periods, generating trend reports, top product lists, and category insights via MCP tools.

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README

Product Hunt Analyst

独立项目:拉取 Product Hunt 数据,分析近 1 / 2 / 3 / 4 周 或 1 个月 的热门产品趋势,并提供可视化 Web 界面。

可与 Codex、Cursor、Claude Desktop、Workbuddy 等工具通过 MCP / CLI / HTTP API 集成。

功能

  • 按时间窗口拉取 Product Hunt 产品(按 upvotes 排序)
  • 自动生成趋势报告:Top 产品、品类分布、每日发布量、主题关键词、文字洞察
  • React 可视化仪表盘(折线图、柱状图、排行榜)
  • MCP Server 供 AI Agent 直接调用
  • CLI 脚本输出 JSON / Markdown

快速开始

1. 安装依赖

cd product-hunt-analyst
python -m venv .venv
# Windows
.venv\Scripts\activate
# macOS/Linux
source .venv/bin/activate

pip install -r requirements.txt

2. 配置 Product Hunt Token

  1. 在 Product Hunt OAuth Apps 创建应用
  2. 复制 Developer Token
  3. 复制 .env.example 为 .env 并填入:
PRODUCT_HUNT_TOKEN=your_token_here

未配置 Token 时,Web UI 会自动切换到 Demo 模式展示示例数据。

3. 命令行分析

# JSON 报告
python scripts/analyze.py --period 2w

# Markdown 报告
python scripts/analyze.py --period 1m --markdown

# 仅拉取原始数据
python scripts/fetch_posts.py --period 3w --compact

4. 启动 Web 可视化

方式 A:开发模式(前后端分离)

# 终端 1 - API
python -m backend.app

# 终端 2 - 前端
cd frontend
npm install
npm run dev
# 打开 http://localhost:5173

方式 B:生产模式(单端口)

cd frontend && npm install && npm run build
cd ..
python -m backend.app
# 打开 http://127.0.0.1:8765

时间范围

参数 含义
1w 近 1 周(7 天)
2w 近 2 周(14 天)
3w 近 3 周(21 天)
4w 近 4 周(28 天)
1m 近 1 个月(30 天)

MCP 集成(Codex / Cursor / Claude)

Codex

pip install -r requirements.txt
export PRODUCT_HUNT_TOKEN=your_token
codex mcp add productHuntAnalyst --command python --arg mcp/server.py

将 skill/SKILL.md 链接或复制到 Codex skills 目录后,可使用 $product-hunt-analyst 触发。

Cursor

在项目根目录 .cursor/mcp.json 中添加:

{
  "mcpServers": {
    "productHuntAnalyst": {
      "command": "python",
      "args": ["mcp/server.py"],
      "cwd": "E:/codex/product-hunt-analyst",
      "env": {
        "PRODUCT_HUNT_TOKEN": "your_token"
      }
    }
  }
}

Claude Desktop

在 claude_desktop_config.json 中注册同样的 MCP server 配置。

MCP 工具一览

工具 说明
list_periods 列出支持的时间窗口
fetch_posts 拉取指定时段产品列表
analyze_trends 完整趋势分析(JSON)
analyze_market 完整报告(JSON 或 Markdown)
get_top_products Top N 产品
get_topic_trends 品类趋势

HTTP API

端点 说明
GET /api/health 健康检查
GET /api/periods 时间窗口列表
GET /api/posts?period=2w 原始产品数据
GET /api/analyze?period=2w 分析报告(JSON)
GET /api/analyze?period=2w&format=markdown Markdown 报告
GET /api/demo?period=2w Demo 数据(无需 Token)

Workbuddy / 自动化

通过 HTTP 或 CLI 调用即可:

curl "http://127.0.0.1:8765/api/analyze?period=4w"
python scripts/analyze.py -p 4w --markdown > report.md

项目结构

product-hunt-analyst/
├── backend/           # FastAPI + PH API 客户端 + 分析引擎
├── frontend/          # React + Vite + Recharts 可视化
├── mcp/               # MCP Server
├── scripts/           # CLI 工具与测试
├── skill/             # Codex/Cursor Agent Skill
├── agents/            # OpenAI Agents 配置
└── requirements.txt

测试

python scripts/test_product_hunt_analyst.py

注意事项

  • Product Hunt API 有速率限制(约 6250 complexity points / 15 分钟)
  • 数据仅供研究参考,不构成投资或商业决策建议
  • 请遵守 Product Hunt API Terms

License

MIT

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