REPOGEO REPORT · LITE

lorryjovens-hub/claude-code-rust

Default branch working · commit 4b87a363 · scanned 6/29/2026, 3:42:05 AM

GitHub: 1,652 stars · 639 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

15 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

0 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface lorryjovens-hub/claude-code-rust, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition the README's opening paragraph to clarify project identity

Why:

CURRENT

本项目包含TS的claude code 源代码。完整的网站项目介绍：项目完整介绍，以及下载 https://claude-rust-gui.netlify.app/

COPY-PASTE FIX

This project is a complete, from-scratch Rust re-implementation of the existing TypeScript-based Claude Code toolchain. It offers significant performance improvements (2.5x faster startup, 97% smaller binary) and enhanced memory safety, while maintaining 100% functional compatibility with the original.

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://claudecode-rust.netlify.app/
```
mediumtopics#3
Refine repository topics to better reflect its nature as a toolchain re-implementation
Why:
CURRENT
```
ai, claude, cli, mcp, performance, repl, rust
```
COPY-PASTE FIX
```
ai, claude, cli, repl, rust, toolchain, re-implementation, high-performance, developer-tools
```

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface lorryjovens-hub/claude-code-rust

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Hugging Face Transformers CLI

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Hugging Face Transformers CLI · recommended 1×
Jupyter Console · recommended 1×
ONNX Runtime · recommended 1×
MLflow CLI · recommended 1×
TensorFlow Lite Converter · recommended 1×

CATEGORY QUERY
Looking for a fast and lightweight command-line tool for AI development.
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers CLI
2. Jupyter Console
3. ONNX Runtime
4. MLflow CLI
5. TensorFlow Lite Converter
6. PyTorch Mobile
7. scikit-learn
AI recommended 7 alternatives but never named lorryjovens-hub/claude-code-rust. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are high-performance, memory-safe alternatives for interactive AI programming environments?
you: not recommended
AI recommended (in order):
1. Julia (JuliaLang/julia)
2. Pluto.jl (fonsp/Pluto.jl)
3. Jupyter notebooks (jupyter/notebook)
4. Rust (rust-lang/rust)
5. Evcxr kernel (google/evcxr)
6. Python (python/cpython)
7. Numba (numba/numba)
8. IPython (ipython/ipython)
9. Go (golang/go)
10. Gophernotes (gopherdata/gophernotes)
11. C++
12. xeus-cling (jupyter-xeus/xeus-cling)
AI recommended 12 alternatives but never named lorryjovens-hub/claude-code-rust. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of lorryjovens-hub/claude-code-rust?
pass
AI did not name lorryjovens-hub/claude-code-rust — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts lorryjovens-hub/claude-code-rust in production, what risks or prerequisites should they evaluate first?
pass
AI did not name lorryjovens-hub/claude-code-rust — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo lorryjovens-hub/claude-code-rust solve, and who is the primary audience?
pass
AI did not name lorryjovens-hub/claude-code-rust — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

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lorryjovens-hub/claude-code-rust — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite