# 0xpolarzero/telegram-ai-insights SLOC report

> As of 2026-10-14 (commit a54f235d64cd), 0xpolarzero/telegram-ai-insights contains 602,048 total lines: 407,541 code, 174,427 comments, 20,080 blank, across 22 files in 7 languages (top: JSON 99.1%). Custom configuration (tests excluded, docs excluded, generated excluded). Counted with tokei via OctoCounts.

0xpolarzero/telegram-ai-insights has 407,541 source lines of code out of 602,048 total lines across 22 files, counted from the main ref at commit a54f235d64cd by the OctoCounts tokei engine on 2026-10-14. 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 0xpolarzero/telegram-ai-insights to commit a54f235d64cd, 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 large codebase by counted code lines. Code represents 67.7% of all lines, comments represent 29.0%, and the repository averages 18,525 code lines per file. JSON accounts for 99.1% of counted code.

| Language | Files | Lines | Code | Comments | Blanks |
| --- | ---: | ---: | ---: | ---: | ---: |
| JSON | 3 | 403,782 | 403,782 | 0 | 0 |
| Python | 12 | 3,753 | 3,357 | 0 | 396 |
| JavaScript | 1 | 200 | 184 | 0 | 16 |
| SQL | 1 | 172 | 152 | 0 | 20 |
| Shell | 1 | 55 | 46 | 1 | 8 |
| TOML | 1 | 25 | 20 | 0 | 5 |
| Markdown | 3 | 194,061 | 0 | 174,426 | 19,635 |

Top language (JSON 99.1%). Generated at 2026-10-14T22:32:45.440406886+00:00. Canonical report: https://octocounts.com/github/0xpolarzero/telegram-ai-insights

## Reproduce this report

[Reproduce this exact report and configuration](https://octocounts.com/github/0xpolarzero/telegram-ai-insights/commit/a54f235d64cd0b28239b0939bb7b9289cd02ec22?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&reportId=dfe894ef1565c79abb2305186b0e92f2972401b9c3021304569e6e1962131bcc).

## Report FAQ

### How many lines of code does 0xpolarzero/telegram-ai-insights have?

0xpolarzero/telegram-ai-insights has 602,048 total lines, including 407,541 code lines, 174,427 comment lines, and 20,080 blank lines.

### How was the 0xpolarzero/telegram-ai-insights line count measured?

OctoCounts resolved the public GitHub repository to commit a54f235d64cd, downloaded the source archive, counted it with tokei, and cached the report by commit, tokei version, and analysis options.

### What commit was counted for 0xpolarzero/telegram-ai-insights?

This OctoCounts report was generated from main at commit a54f235d64cd on 2026-10-14T22:32:45.440406886+00:00.

## Similar repository reports

- [flashbots/EIP-712-swap-PoC](https://octocounts.com/github/flashbots/EIP-712-swap-PoC) — JSON, 406,365 code lines
- [GDRETools/gdsdecomp](https://octocounts.com/github/GDRETools/gdsdecomp) — JSON, 404,027 code lines
- [mempalace/mempalace](https://octocounts.com/github/mempalace/mempalace) — JSON, 412,807 code lines
- [dataease/dataease](https://octocounts.com/github/dataease/dataease) — JSON, 413,158 code lines
- [MemPalace/mempalace](https://octocounts.com/github/MemPalace/mempalace) — JSON, 419,107 code lines
- [davila7/claude-code-templates](https://octocounts.com/github/davila7/claude-code-templates) — JSON, 419,709 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)
- [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)
