MadsLorentzen/ai-job-search
AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate jobs, tailor CVs, write cover letters, and prepare you for interviews.
What is MadsLorentzen/ai-job-search?
MadsLorentzen/ai-job-search is a repository whose own project materials describe it as AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate jobs, tailor CVs, write cover letters, and prepare you for interviews. An AI-powered job application framework built on Claude Code. Fork it, fill in your profile. This Graphify demo keeps MadsLorentzen/ai-job-search as the primary keyword while adding source-derived context, README signals, and an interactive code graph for deeper exploration.
Source: README.md at 6e92a4358a51
Graphify architecture insights for MadsLorentzen/ai-job-search
MadsLorentzen/ai-job-search has a compact Graphify map with 485 nodes, 653 edges, and 30 communities. The graph turns MadsLorentzen/ai-job-search into an architecture map: dense communities point to related implementation areas, while high-degree nodes from the Graphify report are good starting points for code review, onboarding, and dependency exploration.
README-derived project notes
- MadsLorentzen/ai-job-search is described by its project source as: AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate jobs, tailor CVs, write cover letters, and prepare you for interviews. An AI-powered job application framework built on Claude Code
- The project README exposes reader-facing sections such as What this is, Prerequisites, Quick start, and 1. Fork and clone, which helps explain how MadsLorentzen/ai-job-search is positioned and used
- MadsLorentzen/ai-job-search was captured from the repository at commit 6e92a4358a51 and analyzed in code-only mode, so this page connects project documentation with the generated code graph
- MadsLorentzen/ai-job-search is primarily a TypeScript project, which makes the graph useful for understanding important files, modules, and dependency relationships before opening the source tree
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Graphify report highlights
Summary
- 485 nodes · 653 edges · 30 communities (26 shown, 4 thin omitted)
- Extraction: 98% EXTRACTED · 2% INFERRED · 0% AMBIGUOUS · INFERRED: 11 edges (avg confidence: 0.8)
- Token cost: 0 input · 0 output
God nodes
- compilerOptions - 15 edges
- compilerOptions - 15 edges
- compilerOptions - 15 edges
- compilerOptions - 15 edges
- compilerOptions - 10 edges
- compilerOptions - 10 edges
Surprising connections
- runSearch() --indirect_call--> toResult() [INFERRED]
- main() --calls--> runDetail() [EXTRACTED]
- main() --calls--> runSearch() [EXTRACTED]
- runDetail() --calls--> normalizeSlug() [EXTRACTED]
FAQ about MadsLorentzen/ai-job-search
What is MadsLorentzen/ai-job-search?
MadsLorentzen/ai-job-search is described by its repository as AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate jobs, tailor CVs, write cover letters, and prepare you for interviews. An AI-powered job application framework built on Claude Code. Fork it, fill in your profile. This page adds a Graphify code graph so readers can inspect how the project is structured.
What does the MadsLorentzen/ai-job-search Graphify graph show?
MadsLorentzen/ai-job-search has a compact Graphify map with 485 nodes, 653 edges, and 30 communities. It highlights communities, important nodes, and relationships extracted from the captured source commit.
Why use Graphify to explore MadsLorentzen/ai-job-search?
Graphify gives MadsLorentzen/ai-job-search a visual architecture layer, making it easier to find central files, understand module boundaries, and decide where to start reading the code.
Where did the MadsLorentzen/ai-job-search page content come from?
The project notes are derived from README.md at 6e92a4358a51, repository metadata, and the Graphify report generated for the captured commit.