RRepoGEO

REPOGEO REPORT · LITE

nicedreamzapp/claude-code-local

Default branch main · commit cde9a577 · scanned 5/28/2026, 7:22:07 AM

GitHub: 2,696 stars · 515 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 nicedreamzapp/claude-code-local, 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 statement to highlight unique value

    Why:

    CURRENT
    <strong>Three local AI brains. Four modes. One MacBook. Zero cloud.<br>Pick your fighter and run Claude Code 100% on-device.<br>📍 Now with <a href="#-new-deepseek-v4-flash-via-ds4">DeepSeek V4 Flash · 1M-token context · via Antirez's <code>ds4</code> engine</a>.</strong>
    COPY-PASTE FIX
    Run Claude Code 100% on-device with local AI on Apple Silicon. This MLX-native Anthropic-API server provides private, offline, airgap-ready code generation, ideal for NDA, legal, and healthcare workflows.
  • mediumtopics#2
    Add more specific topics for niche use cases

    Why:

    CURRENT
    abliterated, ai-privacy, airgap, ambient-computing, anthropic, apple-silicon, browser-agent, claude-code, gemma, llama, local-ai, local-llm, macos, mlx, mlx-lm, offline-ai, on-device-ai, private-ai, qwen, voice-ai
    COPY-PASTE FIX
    abliterated, ai-privacy, airgap, ambient-computing, anthropic, apple-silicon, browser-agent, claude-code, gemma, llama, local-ai, local-llm, macos, mlx, mlx-lm, offline-ai, on-device-ai, private-ai, qwen, voice-ai, nda-workflows, legal-tech, healthcare-ai, secure-ai, enterprise-ai, code-generation, code-assistant
  • lowabout#3
    Refine the 'About' description for clearer emphasis on target workflows

    Why:

    CURRENT
    Run Claude Code 100% on-device with local AI on Apple Silicon. MLX-native Anthropic-API server, 65 tok/s Qwen 3.5 122B, Llama 3.3 70B, Gemma 4 31B. Private, offline, airgap-ready. Built for NDA / legal / healthcare workflows.
    COPY-PASTE FIX
    Run Claude Code 100% on-device with local AI on Apple Silicon. An MLX-native Anthropic-API server for private, offline, airgap-ready code generation, built for NDA, legal, and healthcare workflows. Supports Qwen 3.5 122B, Llama 3.3 70B, Gemma 4 31B.

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 nicedreamzapp/claude-code-local
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. ollama/ollama · recommended 1×
  3. janhq/jan · recommended 1×
  4. mudler/LocalAI · recommended 1×
  5. ggerganov/llama.cpp · recommended 1×
  • CATEGORY QUERY
    How can I run large language models locally for secure, private data processing?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. Jan AI (janhq/jan)
    4. LocalAI (mudler/LocalAI)
    5. llama.cpp (ggerganov/llama.cpp)
    6. Text Generation WebUI (oobabooga/text-generation-webui)

    AI recommended 6 alternatives but never named nicedreamzapp/claude-code-local. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient on-device AI coding assistants for Apple Silicon devices?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. Ollama
    3. LM Studio
    4. Continue.dev
    5. LocalAI
    6. TabbyML
    7. PrivateGPT

    AI recommended 7 alternatives but never named nicedreamzapp/claude-code-local. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 nicedreamzapp/claude-code-local?
    pass
    AI named nicedreamzapp/claude-code-local explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts nicedreamzapp/claude-code-local in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nicedreamzapp/claude-code-local explicitly

    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 nicedreamzapp/claude-code-local solve, and who is the primary audience?
    pass
    AI did not name nicedreamzapp/claude-code-local — 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?

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