As of 2026-09-11 (commit 1a8fad372a77), jordan-gibbs/hypercheap-voiceAI contains 3,936 total lines: 3,256 code, 347 comments, 333 blank, across 31 files in 11 languages (top: JSON 52.2%). Counted with tokei via OctoCounts.
OctoCounts produced this report by resolving jordan-gibbs/hypercheap-voiceAI to commit 1a8fad372a77, 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.
This is a small codebase by counted code lines. Code represents 82.7% of all lines, comments represent 8.8%, and the repository averages 105 code lines per file. JSON accounts for 52.2% of counted code.
| Language | Files | Lines | Code | Comments | Blanks |
|---|---|---|---|---|---|
| JSON | 3 | 1701 | 1701 | 0 | 0 |
| Python | 9 | 764 | 621 | 9 | 134 |
| TSX | 2 | 321 | 275 | 4 | 42 |
| TypeScript | 4 | 354 | 270 | 38 | 46 |
| JavaScript | 3 | 232 | 167 | 49 | 16 |
| CSS | 2 | 169 | 151 | 0 | 18 |
| HTML | 2 | 35 | 33 | 2 | 0 |
| TOML | 1 | 31 | 27 | 0 | 4 |
| Dockerfile | 1 | 15 | 11 | 0 | 4 |
| Markdown | 2 | 211 | 0 | 142 | 69 |
| Plain Text | 2 | 103 | 0 | 103 | 0 |
Top language (JSON 52.2%). Generated at 2026-09-11T06:13:02.425714608+00:00.
jordan-gibbs/hypercheap-voiceAI has 3,936 total lines, including 3,256 code lines, 347 comment lines, and 333 blank lines.
OctoCounts resolved the public GitHub repository to commit 1a8fad372a77, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.
This OctoCounts report was generated from 1a8fad372a7770a0b79cc5338083b6fffc872c79 at commit 1a8fad372a77 on 2026-09-11T06:13:02.425714608+00:00.
Other public repositories with an OctoCounts report, ranked by top language and code size similarity: