Reactive Resume is a full-stack, open-source resume builder and job application tracker. It provides a rich web interface for creating, editing, and managing resumes with real-time preview, multi-format export (PDF, DOCX, Markdown, JSON), and ATS compatibility analysis. The system includes an AI-powered assistant for resume tailoring and cover letter drafting, an MCP server for LLM integration, and a semantic CSS stylesheet system for fine-grained PDF styling. The architecture is a monorepo with a React frontend (TanStack Router, Zustand, Lingui i18n), a Node.js API layer (oRPC, Drizzle ORM, PostgreSQL), and dedicated packages for PDF generation, DOCX export, authentication, and UI components. Key entry points include the resume builder interface, public resume sharing pages, an AI agent chat, and a job application board with stage tracking and CSV import/export. External dependencies include PostgreSQL, Redis, AI provider APIs (OpenAI, Anthropic, Gemini), and cloud storage (Vercel Blob or S3). The codebase is well-structured with extensive unit and integration tests, a reusable UI component library, and a modular package architecture that supports self-hosting via Docker or Vercel.
ResumeLM is an AI-powered resume builder application built with Next.js 15, React 19, and TypeScript. It provides a SaaS platform for creating, editing, and optimizing resumes for tech job applications, featuring AI-assisted content generation, resume tailoring for specific job applications, ATS optimization, and cover letter generation. The application uses Supabase for authentication and data storage, Stripe for subscription management, and integrates with multiple AI providers (OpenAI, Anthropic, Google, etc.) via OpenRouter or direct API keys. The architecture follows a modular structure with separate concerns for authentication, dashboard, resume editor, admin panel, and settings, leveraging server actions for data mutations and a robust AI abstraction layer for model selection and usage tracking.
LapisCV is a collection of Markdown-based resume templates and styling assets designed for use with Obsidian, Typora, and VSCode. It provides a base CSS file (main.css) that defines the core resume styling using CSS variables for easy theming, along with platform-specific overrides to adapt to each editor's rendering engine. Users edit the provided Markdown templates to create their resumes and export to PDF using their editor's built-in or plugin-based PDF export functionality. The project includes a Makefile to build distribution packages for each supported platform.
Magic Resume is a production-oriented, bilingual resume-builder web application. Users manage resume documents in a dashboard, edit them in a multi-panel workbench with a live A4 preview, choose among nine templates, and export to PDF, PNG, JSON, or Markdown. The editor supports rich text, structured sections, custom themes, typography controls, and automatic one-page scaling. Resume data is local-first, persisted to localStorage and optionally synced to the local file system via the File System Access API. Under the hood, it is a React/TypeScript full-stack app with a somewhat unusual dual route-tree structure: an older Next.js App Router layout coexists with a newer TanStack Router source tree. State is managed with Zustand, UI uses Tailwind CSS and shadcn-style components, and rich text editing is built on Tiptap. AI features—streaming text polish, grammar checking, and vision-based PDF import—run through server routes that abstract OpenAI, Gemini, Anthropic, DeepSeek, Qwen, and Doubao behind a common transport with retries and SSE streaming. Export paths include a server-side PDF renderer, client-side html2canvas/jsPDF, browser print, JSON, and Markdown. The codebase is feature-rich and actively maintained, with some solid server-side AI abstractions and a meaningful test suite. However, it carries structural debt: near-identical section components are duplicated across nine templates, the old Next.js route tree remains alongside the newer TanStack routes, and AI model IDs/configurations are speculative and likely to age. It is deployable to Cloudflare Workers, Node, or Docker, but the architecture is hybrid and transitional rather than cleanly unified.
This repository is a Hugo-based starter template for building an academic CV website, part of the HugoBlox ecosystem. It provides pre-configured project structure, sample content (blog posts, publications, projects, courses, events, slides), and CI/CD workflows for deployment to GitHub Pages or Netlify. The codebase is primarily configuration (Hugo, YAML, Go modules, npm packages) and Markdown content, with minimal custom layout code (a single partial for a GitHub button). Its primary value is as a boilerplate for researchers and academics to quickly spin up a personal portfolio site. While it contains no complex application logic, it demonstrates solid engineering practices through well-structured configuration, modern build tooling (Tailwind CSS v4, Pagefind search), and reusable CI/CD patterns.
LaResume is a full-stack, open-source resume builder and job application tracker built with Next.js (App Router), TypeScript, and Prisma (MongoDB). It provides multiple LaTeX-powered resume templates (sb2nov, techpro, deedy, mteck) with real-time preview, ATS optimization, and PDF export. The application includes a Kanban-style job tracker, shareable resume links with view analytics, and a one-time payment model for premium features (unlimited downloads, sharing). Authentication is handled by Clerk, and payments are processed via LemonSqueezy and Dodo Payments. The frontend uses shadcn/ui components, Redux Toolkit (RTK Query) for state management, and next-intl for internationalization across 12 languages. The backend exposes RESTful API routes for resume CRUD, sharing, compilation, and job board management, with LaTeX compilation running in a Dockerized TeX Live environment. The codebase also includes marketing pages (pricing, features, FAQ, contact) and SEO optimizations (JSON-LD, sitemap, Open Graph).