RRepoGEO

REPOGEO REPORT · LITE

twinnydotdev/twinny

Default branch main · commit 193d14c0 · scanned 5/14/2026, 12:06:50 AM

GitHub: 3,628 stars · 222 forks

AI VISIBILITY SCORE
40 /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
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 twinnydotdev/twinny, 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 H1 and opening paragraph to emphasize core differentiators

    Why:

    CURRENT
    # Twinny
    
    Twinny is a free AI extension for Visual Studio Code, offering powerful AI-assisted coding features.
    COPY-PASTE FIX
    # Twinny: Free, Local-First AI Code Completion & Chat for VS Code
    
    Twinny is the most no-nonsense, locally or API-hosted AI code completion and chat plugin for Visual Studio Code. It's a powerful, privacy-focused alternative to GitHub Copilot, allowing you to run AI entirely on your machine with self-hosted LLMs like Ollama or LM Studio, or connect to various cloud providers.
  • mediumreadme#2
    Add a dedicated 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Twinny vs. Other AI Assistants
    
    Twinny stands out as a privacy-focused, local-first AI coding assistant for VS Code. Unlike cloud-dependent solutions like GitHub Copilot, Tabnine, or Codeium, Twinny allows you to run AI models entirely on your own machine using tools like Ollama or LM Studio, ensuring your code never leaves your environment. It offers similar features like real-time code completion and AI chat, but with full control over your data and models, and 100% free for local use.
  • lowreadme#3
    Explicitly mention LM Studio in the 'Supported Providers' list

    Why:

    CURRENT
    - localhost OpenAI/Ollama Compatible API (default)
    COPY-PASTE FIX
    - localhost OpenAI/Ollama Compatible API (default), including Ollama and LM Studio

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 twinnydotdev/twinny
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tabnine Basic
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Tabnine Basic · recommended 1×
  2. Codeium · recommended 1×
  3. Blackbox AI · recommended 1×
  4. GitHub Copilot · recommended 1×
  5. IntelliCode · recommended 1×
  • CATEGORY QUERY
    What are good free AI code completion alternatives for Visual Studio Code?
    you: not recommended
    AI recommended (in order):
    1. Tabnine Basic
    2. Codeium
    3. Blackbox AI
    4. GitHub Copilot
    5. IntelliCode

    AI recommended 5 alternatives but never named twinnydotdev/twinny. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I run AI code generation and chat locally in Visual Studio Code?
    you: not recommended
    AI recommended (in order):
    1. Continue
    2. CodeGPT
    3. Ollama
    4. LM Studio
    5. LocalAI
    6. Tabnine

    AI recommended 6 alternatives but never named twinnydotdev/twinny. 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 twinnydotdev/twinny?
    pass
    AI named twinnydotdev/twinny explicitly

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

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

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

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twinnydotdev/twinny — 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