RRepoGEO

REPOGEO REPORT · LITE

NanmiCoder/cc-haha

Default branch main · commit ad33980c · scanned 6/17/2026, 7:47:10 PM

GitHub: 12,715 stars · 8,269 forks

AI VISIBILITY SCORE
35 /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
3 / 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 NanmiCoder/cc-haha, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-coding, desktop-app, code-editor, ide, project-management, cross-platform, claude-code, ai-assistant, code-generation, code-review
  • highabout#2
    Update the repository description for clarity

    Why:

    CURRENT
    Claude Code 泄露源码 - 本地可运行版本，新增跨平台桌面端软件补齐Computer Use（附带核心模块解析）
    COPY-PASTE FIX
    A cross-platform desktop workbench for AI-assisted coding and project management, based on leaked Claude Code source, featuring sessions, multi-project support, diffs, and more.
  • mediumlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Specify License Name(s) here, e.g., 'a custom license based on X and Y']. Please refer to the [LICENSE](LICENSE) file for full details.

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 NanmiCoder/cc-haha
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 2×
  2. GitHub Copilot · recommended 2×
  3. Codeium · recommended 2×
  4. Tabnine · recommended 2×
  5. IntelliJ IDEA · recommended 2×
  • CATEGORY QUERY
    I need a cross-platform desktop application for AI-assisted coding and project management.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Visual Studio Code
    3. GitHub Copilot
    4. Codeium
    5. Tabnine
    6. Jira
    7. Trello
    8. Asana
    9. Todo Tree
    10. Project Manager
    11. IntelliJ IDEA
    12. PyCharm
    13. WebStorm
    14. AI Assistant
    15. YouTrack
    16. Raycast
    17. Linear
    18. Notion
    19. GitHub
    20. Notion AI

    AI recommended 20 alternatives but never named NanmiCoder/cc-haha. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools offer an integrated desktop workbench for AI code generation and reviewing changes?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. VS Code
    3. GitHub Copilot
    4. Codeium
    5. Continue
    6. JetBrains IDEs
    7. IntelliJ IDEA
    8. PyCharm
    9. WebStorm
    10. Tabnine
    11. Sublime Text
    12. Sublime Copilot
    13. Sublime Codeium
    14. Package Control

    AI recommended 14 alternatives but never named NanmiCoder/cc-haha. 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 NanmiCoder/cc-haha?
    pass
    AI named NanmiCoder/cc-haha explicitly

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

  • If a team adopts NanmiCoder/cc-haha in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NanmiCoder/cc-haha 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 NanmiCoder/cc-haha solve, and who is the primary audience?
    pass
    AI named NanmiCoder/cc-haha explicitly

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

Embed your GEO score

Drop this badge into the README of NanmiCoder/cc-haha. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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NanmiCoder/cc-haha — 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