title: “问题:找工作就是一份全职工作” description: “Technical guide and comparison.” date: 2026-05-15T04:20:25+09:00 lastmod: 2026-05-15T04:20:25+09:00 tech_stack: - JavaScript

  • Python
  • TypeScript application_domain: “Ai Tools” source_version: "" licensing_model: “Open Source” license_type: “MIT” file_size: “50.9 MB” file_md5: "" download_url: “https://github.com/vasu-devs/JustHireMe.git" backup_url: "” last_maintained: “2026-05-15” draft: false aliases:
  • /posts/justhireme-ai-job-search-workbench/ faqs: - q: ‘Is JustHireMe free and open source?’ a: ‘Yes. JustHireMe is open source under the MIT license, with no subscription fees or hidden costs. You own your resume and data, and the scoring algorithm is transparent.’
  • q: ‘Does JustHireMe require an AI API key or send my data to the cloud?’ a: ‘No. JustHireMe is local-first: all AI computation runs locally with no API key required, and your data is stored on your machine in a local SQLite database rather than uploaded to the cloud.’
  • q: ‘Which job platforms can JustHireMe scrape listings from?’ a: ‘It automatically aggregates jobs from LinkedIn, Indeed, Glassdoor, AngelList, Hacker News, company career pages, and remote-work sections. A deduplication algorithm merges the same role when it appears across multiple platforms.’
  • q: ‘How does JustHireMe’’s job matching score work?’ a: ‘It uses semantic understanding rather than keyword matching, comparing your skills, experience, salary expectations, and career goals against each job’’s requirements. Each listing receives a 0-100 score so you can focus on roles above 80.’
  • q: ‘What technology stack is JustHireMe built on?’ a: ‘The desktop app uses Tauri 2 with React 19 and TypeScript; the backend runs Python 3.13 with FastAPI and WebSockets; data is stored in SQLite plus a Kuzu graph database and LanceDB vector store; and Playwright handles browser automation for scraping and applying.’

{</* resource-info */>}

问题:找工作就是一份全职工作

投 100 份简历,收到 2 个面试,0 个 Offer。这不是你的问题,是系统的问题。

每个招聘网站都是孤岛:

  • LinkedIn:高级搜索要付费
  • Indeed:重复职位、过期信息
  • Glassdoor:薪资数据滞后
  • 公司官网:每个都要重新填写
  • 招聘邮件:99% 已读不回

更痛苦的是:每投一份都要重新写简历重新写求职信重新研究公司

解决方案:JustHireMe

JustHireMe 是一个开源的 AI 求职智能工作台。本地优先、隐私安全、一键自动投递。

核心理念:让 AI 做重复工作,你只做决策。

核心功能

1. 智能职位抓取

自动从多个平台抓取职位:

  • LinkedIn、Indeed、Glassdoor
  • AngelList、Hacker News
  • 公司招聘页面
  • 远程工作专区

去重算法:同一职位在不同平台出现,自动合并。

2. AI 匹配度评分

不是关键词匹配,是真正的语义理解

  • 你的技能 vs 职位要求
  • 你的经验 vs 职位级别
  • 你的薪资期望 vs 预算范围
  • 你的职业目标 vs 公司方向

评分 0-100,只看 80 分以上的职位。

3. 简历自动定制

根据每个职位重写简历

  • 突出相关技能
  • 调整项目描述
  • 匹配关键词
  • 优化排版格式

不是模板填充,是真正的 AI 重写

4. 求职信生成

每封求职信都是独一无二的:

  • 研究公司背景
  • 引用具体项目
  • 展示相关经验
  • 表达真诚兴趣

HR 看得出来是模板还是用心写的。

5. 本地 CRM 管理

所有数据存在本地:

  • SQLite 数据库
  • 职位历史记录
  • 投递状态跟踪
  • 面试日程管理

隐私优先:你的数据不会上传到云端。

技术架构

| 层级 | 技术 | |


|


| | 桌面端 | Tauri 2 + React 19 + TypeScript | | 后端 | Python 3.13 + FastAPI + WebSockets | | 数据库 | SQLite + Kuzu 图数据库 + LanceDB 向量库 | | AI 模型 | 本地 LLM + 语义搜索 | | 自动化 | Playwright 浏览器自动化 |

本地优先:所有 AI 计算在本地完成,无需 API Key。

安装使用

# 克隆仓库
git clone https://github.com/vasu-devs/JustHireMe.git
cd JustHireMe

# 安装前端依赖
npm install

# 启动开发服务器
npm run dev

# 启动桌面应用
npm run tauri dev

使用流程

  1. 设置 profile:上传简历,填写技能和目标
  2. 配置抓取源:选择要监控的招聘平台
  3. 运行抓取:AI 自动抓取最新职位
  4. 查看匹配:按匹配度排序,筛选高分配职位
  5. 一键申请:AI 生成定制材料,自动投递
  6. 跟踪进度:CRM 管理所有申请状态

为什么开源?

求职不应该被平台垄断:

  • 数据所有权:你的简历、你的数据
  • 算法透明:知道 AI 如何评分
  • 免费使用:没有订阅费、没有隐藏费用
  • 社区驱动:大家一起改进

适合谁用?

  • 求职者:想投更多、更好、更快
  • 自由职业者:寻找合同和项目
  • 转行人士:需要针对性定制简历
  • 应届生:不知道从何开始
  • 资深人士:想被动接收高质量机会

相关文章


项目地址github.com/vasu-devs/JustHireMe

Stars:471 ⭐ | Forks:91 | 语言:Python 47.3%, TypeScript 27.5%


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References & Sources

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Why This Matters

Understanding justhireme:ai 帮你自动找工作,从投递到拿到 offer is crucial for modern AI development. Here’s why: ### Key Benefits

  • Efficiency: Save time on repetitive tasks
  • Quality: Improve output consistency
  • Scalability: Handle larger workloads
  • Cost: Reduce operational expenses

Real-World Applications

Organizations are using similar approaches to: 1. Automate code review processes 2. Generate documentation automatically 3. Build internal knowledge bases 4. Streamline deployment pipelines

Getting Started

To implement this in your workflow: 1. Assess Your Needs

  • Identify repetitive tasks
  • Measure current time costs
  • Define success metrics
  1. Choose Your Approach

    • Start with simple automations
    • Gradually increase complexity
    • Test and iterate
  2. Measure Results

    • Track time savings
    • Monitor quality improvements
    • Calculate ROI

Conclusion

JustHireMe:AI 帮你自动找工作,从投递到拿到 Offer represents an important step forward in AI-powered development. As the ecosystem matures, we expect to see even more powerful capabilities emerge.

For the latest updates and community discussions, join our Telegram channel: https://t.me/DIBI8_Group


Last updated: 2026-09-20 Read time: ~5 minutes