# MadsLorentzen/ai-job-search SLOC report

> As of 2026-09-16 (commit 968fb1bd7ecb), MadsLorentzen/ai-job-search contains 6,109 total lines: 2,657 code, 2,480 comments, 972 blank, across 25 files in 4 languages (top: Python 92.5%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

MadsLorentzen/ai-job-search has 2,657 source lines of code out of 6,109 total lines across 25 files, counted from the 968fb1bd7ecbc0b0200d88062418beadb0e3fd9c ref at commit 968fb1bd7ecb by the OctoCounts tokei engine on 2026-09-16. The report is cached by commit, tokei version, and analysis options, so recounting the same revision returns exactly these numbers.

OctoCounts produced this report by resolving MadsLorentzen/ai-job-search to commit 968fb1bd7ecb, downloading the repository source archive, and counting every source file with tokei, the open-source line counter written in Rust. The table below breaks the count down by programming language into files, total lines, code lines, comment lines, and blank lines, so the figures can be compared across languages and projects. Results are cached by commit, tokei version, and analysis options, so counting the same revision again reproduces exactly these numbers.

## Repository size insights

This is a small codebase by counted code lines. Code represents 43.5% of all lines, comments represent 40.6%, and the repository averages 106 code lines per file. Python accounts for 92.5% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| Python | 12 | 3,070 | 2,457 | 218 | 395 |
| TeX | 2 | 251 | 123 | 75 | 53 |
| VB6/VBA | 1 | 96 | 77 | 0 | 19 |
| Markdown | 10 | 2,692 | 0 | 2,187 | 505 |

Top language (Python 92.5%). Generated at 2026-09-16T14:06:50.822692742+00:00. Canonical report: https://octocounts.com/github/MadsLorentzen/ai-job-search

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/MadsLorentzen/ai-job-search/commit/968fb1bd7ecbc0b0200d88062418beadb0e3fd9c?analysis=%7B%22ignoredDirs%22%3A%5B%5D%2C%22ignoredLanguages%22%3A%5B%5D%2C%22profile%22%3A%22default%22%2C%22includeDocs%22%3Afalse%2C%22includeTests%22%3Afalse%2C%22includeGenerated%22%3Afalse%7D).

## Report FAQ

### How many lines of code does MadsLorentzen/ai-job-search have?

MadsLorentzen/ai-job-search has 6,109 total lines, including 2,657 code lines, 2,480 comment lines, and 972 blank lines.

### How was the MadsLorentzen/ai-job-search line count measured?

OctoCounts resolved the public GitHub repository to commit 968fb1bd7ecb, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for MadsLorentzen/ai-job-search?

This OctoCounts report was generated from 968fb1bd7ecbc0b0200d88062418beadb0e3fd9c at commit 968fb1bd7ecb on 2026-09-16T14:06:50.822692742+00:00.

## Similar repository reports

- [marceloprates/prettymaps](https://octocounts.com/github/marceloprates/prettymaps) — Python, 2,653 code lines
- [kislyuk/argcomplete](https://octocounts.com/github/kislyuk/argcomplete) — Python, 2,670 code lines
- [AvenCores/open-antigravity-patcher](https://octocounts.com/github/AvenCores/open-antigravity-patcher) — Python, 2,672 code lines
- [josix/awesome-claude-md](https://octocounts.com/github/josix/awesome-claude-md) — Python, 2,638 code lines
- [Purrple-hub/Ze-Bench](https://octocounts.com/github/Purrple-hub/Ze-Bench) — Python, 2,680 code lines
- [Kangel-Plugins/PluginsBot](https://octocounts.com/github/Kangel-Plugins/PluginsBot) — Python, 2,633 code lines

## Related OctoCounts pages

- [Recently analyzed repositories](https://octocounts.com/recent)
- [Popular SLOC reports](https://octocounts.com/popular)
- [Trending GitHub repositories](https://octocounts.com/trending)
- [Hall of Monoliths](https://octocounts.com/hall-of-monoliths)
- [TensorFlow vs PyTorch](https://octocounts.com/compare/tensorflow-vs-pytorch)
- [Django vs Ruby on Rails](https://octocounts.com/compare/django-vs-rails)
- [Laravel vs Django](https://octocounts.com/compare/laravel-vs-django)
- [GitHub SLOC counter guide](https://octocounts.com/docs/github-sloc-counter)
- [Counting methodology](https://octocounts.com/docs/methodology)
- [SLOC and code metrics glossary](https://octocounts.com/docs/glossary)
- [Original research: how filtering changes SLOC counts](https://octocounts.com/research)
- [OctoCounts API docs](https://octocounts.com/docs/api)