XHunt 提供透明的 KOL 指标、即时的投研分析,以及智能的营销协作能力,用 AI 驱动的方式精准对接优质项目方与可信赖的 KOL。致力于重构 KOL 信任,重塑项目投研方式,重建创作者生态,打造更加透明、高效与安全的 Web3 创作者生态。
官网 | Chrome 插件下载 | English | 中文
- 关注者质量分析 - 深度分析 KOL 的关注者构成和质量
- 影响力排名 - 实时显示全球、中文、项目等多维度排名变化
- MBTI 性格分析 - AI 驱动的推特用户性格类型识别
- 能力模型雷达图 - 多维度展示 KOL 在不同领域的专业能力
- 灵魂浓度分析 - AI 驱动的账户质量评估,包含内容、互动、KOL 互动等多维度分析
- 智能代币识别 - 自动识别推文中的代币符号和合约地址
- AI 分析面板 - 提供代币相关推文和 AI 生成的深度分析
- 表现追踪 - 跟踪 KOL 提及代币的历史表现和收益率
- 代币词云可视化 - 直观展示代币提及频率和热度
- 删帖监控 - 追踪和显示已删除的推文内容
- 投资关系 - 展示项目的投资方和投资组合关系
- 改名历史 - 记录用户的历史用户名变更
- 讨论热度 - 分析项目在社区中的讨论情况和情感倾向
- 实时热门追踪 - 展示热门代币、讨论话题、关注项目和 KOL
- 资料变更追踪 - 监控用户头像、简介、横幅等资料的历史变更
- 个人备注 - 为任何用户添加私人备注
- 评分系统 - 对 KOL 和项目进行评分和标签化
- 头像排名 - 在用户头像上显示影响力排名徽章
- 叙事分析 - AI 生成的项目核心叙事和定位分析
- 项目成员关系 - 展示项目相关的创始人、投资人、成员等角色
- 灵魂指数评分 - 基于多维度数据的账户质量评分系统
- 热门趋势面板 - 实时展示热门代币、讨论、关注和 KOL 数据
- 资料变更历史 - 详细的用户资料变更记录和对比
- AI 叙事生成 - 基于项目定位的智能叙事分析
- 项目成员分析 - 展示项目相关人物的角色和关系
- 框架: Plasmo - 现代浏览器扩展开发框架
- 前端: React 18 + TypeScript + Tailwind CSS
- 状态管理: Plasmo Storage + ahooks
- 数据可视化: D3.js + Recharts + Canvas API
- UI / 动效: lucide-react + lottie-react + 自定义组件
- 构建工具: Plasmo(内置构建链路)+ PostCSS + Autoprefixer
- 工具库: tippy.js(tooltip)、dayjs(日期处理)、uuid、numeral、qrcode、axios
- Node.js 16+
- Yarn 4.x (使用 nodeLinker: node-modules)
# 克隆项目
git clone https://github.com/AlphaHunt3/tweet-hunt-extension.git
cd tweet-hunt-extension
# 安装依赖
yarn install
# 开发模式 (生产环境)
yarn dev
# 开发模式 (测试环境)
yarn dev-test
# 构建生产版本
yarn build- 运行
yarn build构建扩展 - 打开 Chrome 浏览器,进入
chrome://extensions/ - 开启"开发者模式"
- 点击"加载已解压的扩展程序"
- 选择项目根目录下的
build/chrome-mv3-prod文件夹
src/
├── background/ # 后台脚本
├── compontents/ # React 组件
│ ├── area/ # 区域组件 (面板、侧边栏等)
│ ├── HotProjectsKOLs/ # 热门项目和KOL组件
│ └── ... # 通用组件
├── contents/ # 内容脚本
│ ├── hooks/ # 自定义 Hooks
│ ├── services/ # API 服务
│ └── utils/ # 工具函数
├── css/ # 样式文件
├── locales/ # 国际化文件
├── storage/ # 存储管理
├── types/ # TypeScript 类型定义
└── utils/ # 通用工具
- 使用 Chrome Extension Message Passing 进行安全的跨域请求
- 实现设备指纹和请求签名验证
- 支持请求取消和错误处理
- Shadow DOM 隔离样式,避免与页面冲突
- MutationObserver 监听 DOM 变化,实时更新内容
- 防抖和节流优化性能
- Canvas 绘制的动态雷达图,支持任意数量的数据维度
- D3.js 驱动的词云图,展示代币提及情况
- 响应式图表,适配不同屏幕尺寸
- 树形图可视化,展示热门代币分布
- 灵魂浓度多维度评估算法
- MBTI 性格类型识别
- 项目叙事智能生成
- 内容质量和互动数据分析
支持中文和英文两种语言,自动检测用户浏览器语言设置。
- 所有用户数据本地存储,不上传敏感信息
- 使用 HTTPS 加密传输
- 实现请求签名验证,防止恶意请求
本项目采用 MIT 许可证 - 查看 LICENSE 文件了解详情。
欢迎提交 Issue 和 Pull Request!
- Twitter: @xhunt_ai
- Telegram: xhunt_ai
- GitHub: AlphaHunt3/tweet-hunt-extension
- Follower Quality Analysis - Deep analysis of KOL follower composition and quality
- Influence Rankings - Real-time display of ranking changes across global, Chinese, and project dimensions
- MBTI Personality Analysis - AI-driven Twitter user personality type identification
- Ability Model Radar Chart - Multi-dimensional display of KOL expertise across different fields
- Soul Density Analysis - AI-driven account quality assessment with multi-dimensional analysis
- Smart Token Recognition - Automatically identify token symbols and contract addresses in tweets
- AI Analysis Panel - Provides token-related tweets and AI-generated in-depth analysis
- Performance Tracking - Track historical performance and returns of tokens mentioned by KOLs
- Token Word Cloud Visualization - Intuitive display of token mention frequency and popularity
- Deleted Tweet Monitoring - Track and display deleted tweet content
- Investment Relations - Show project investors and portfolio relationships
- Name History - Record user's historical username changes
- Discussion Heat - Analyze project discussion levels and sentiment trends in the community
- Real-time Trending - Display hot tokens, discussion topics, followed projects and KOLs
- Profile Change Tracking - Monitor historical changes in user avatars, bios, banners, etc.
- Personal Notes - Add private notes for any user
- Rating System - Rate and tag KOLs and projects
- Avatar Rankings - Display influence ranking badges on user avatars
- Narrative Analysis - AI-generated project core narrative and positioning analysis
- Project Member Relations - Display project-related founders, investors, members and other roles
- Soul Index Scoring - Account quality scoring system based on multi-dimensional data
- Hot Trending Panel - Real-time display of hot tokens, discussions, follows and KOL data
- Profile Change History - Detailed user profile change records and comparisons
- AI Narrative Generation - Intelligent narrative analysis based on project positioning
- Project Member Analysis - Display project-related character roles and relationships
- Framework: Plasmo - Modern browser extension development framework
- Frontend: React 18 + TypeScript + Tailwind CSS
- State Management: Plasmo Storage + ahooks
- Data Visualization: D3.js + Recharts + Canvas API
- UI / Motion: lucide-react + lottie-react + custom components
- Build Tools: Plasmo (built-in bundling) + PostCSS + Autoprefixer
- Utility Libraries: tippy.js (tooltip), dayjs (date handling), uuid, numeral, qrcode, axios
- Node.js 16+
- Yarn 4.x (using nodeLinker: node-modules)
# Clone the project
git clone https://github.com/AlphaHunt3/tweet-hunt-extension.git
cd tweet-hunt-extension
# Install dependencies
yarn install
# Development mode (production environment)
yarn dev
# Development mode (test environment)
yarn dev-test
# Build for production
yarn build- Run
yarn buildto build the extension - Open Chrome browser and go to
chrome://extensions/ - Enable "Developer mode"
- Click "Load unpacked"
- Select the
build/chrome-mv3-prodfolder in the project root directory
src/
├── background/ # Background scripts
├── compontents/ # React components
│ ├── area/ # Area components (panels, sidebar, etc.)
│ ├── HotProjectsKOLs/ # Hot projects and KOL components
│ └── ... # Common components
├── contents/ # Content scripts
│ ├── hooks/ # Custom hooks
│ ├── services/ # API services
│ └── utils/ # Utility functions
├── css/ # Style files
├── locales/ # Internationalization files
├── storage/ # Storage management
├── types/ # TypeScript type definitions
└── utils/ # Common utilities
- Uses Chrome Extension Message Passing for secure cross-origin requests
- Implements device fingerprinting and request signature verification
- Supports request cancellation and error handling
- Shadow DOM isolates styles to avoid conflicts with the page
- MutationObserver monitors DOM changes for real-time content updates
- Debouncing and throttling for performance optimization
- Canvas-rendered dynamic radar charts supporting arbitrary data dimensions
- D3.js-powered word clouds showing token mentions
- Responsive charts adapting to different screen sizes
- Treemap visualization for hot token distribution
- Multi-dimensional soul density assessment algorithm
- MBTI personality type identification
- Intelligent project narrative generation
- Content quality and interaction data analysis
Supports both Chinese and English, automatically detecting user browser language settings.
- All user data stored locally, no sensitive information uploaded
- HTTPS encrypted transmission
- Request signature verification to prevent malicious requests
This project is licensed under the MIT License - see the LICENSE file for details.
Issues and Pull Requests are welcome!
- Twitter: @xhunt_ai
- Telegram: xhunt_ai
- GitHub: AlphaHunt3/tweet-hunt-extension
Made with ❤️ by the XHunt Team
