RRepoGEO

REPOGEO REPORT · LITE

alishobeiri/thread-notebook

Default branch main · commit 1c905d98 · scanned 5/14/2026, 8:17:59 AM

GitHub: 1,101 stars · 56 forks

AI VISIBILITY SCORE
28 /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
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 alishobeiri/thread-notebook, 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
    Clarify 'Thread' project name and core purpose in README's opening

    Why:

    CURRENT
    <p align="center"> AI-powered Jupyter Notebook </p>
    <p align="center"> ... </p>
    Thread is a Jupyter alternative that integrates an AI copilot into your Jupyter Notebook editing experience.
    COPY-PASTE FIX
    <p align="center">
      <h1>Thread: The AI-Powered Jupyter Notebook Alternative</h1>
    </p>
    
    Thread is a powerful, local-first AI copilot deeply integrated into your Jupyter Notebook experience. It's a complete Jupyter alternative designed to supercharge data scientists and developers by letting you generate and edit code cells, automatically fix errors, and chat with your data using Ollama or your own API key.
  • highabout#2
    Add the project's main homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/alishobeiri/thread
  • mediumreadme#3
    Add a 'Why Thread?' or 'Core Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    # Why Thread? Our Core Differentiators
    
    Thread stands out by offering a truly local-first, AI-powered Jupyter experience. Unlike cloud-based notebooks, Thread keeps your data and models on your machine, ensuring privacy and control. Compared to generic AI coding assistants, Thread is deeply integrated into the notebook environment, understanding your data context and workflow. It's a complete, free, and open-source alternative to traditional Jupyter, enhanced with powerful AI capabilities for code generation, error fixing, and data interaction.

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 alishobeiri/thread-notebook
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Code Llama · recommended 1×
  3. ollama/ollama · recommended 1×
  4. continuedev/continue · recommended 1×
  5. LM Studio · recommended 1×
  • CATEGORY QUERY
    Looking for a local AI assistant to generate code and fix errors directly in my data science notebooks.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Code Llama
    3. Ollama (ollama/ollama)
    4. Continue.dev (continuedev/continue)
    5. LM Studio
    6. Tabnine
    7. Jupyter AI (jupyterlab/jupyter-ai)

    AI recommended 7 alternatives but never named alishobeiri/thread-notebook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good alternatives to Jupyter notebooks that integrate AI for data analysis and coding?
    you: not recommended
    AI recommended (in order):
    1. Google Colaboratory (Colab)
    2. Deepnote
    3. Databricks Notebooks
    4. Kaggle Notebooks
    5. Hex
    6. VS Code with Python and Jupyter extensions
    7. Observable

    AI recommended 7 alternatives but never named alishobeiri/thread-notebook. 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 alishobeiri/thread-notebook?
    pass
    AI did not name alishobeiri/thread-notebook — 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 alishobeiri/thread-notebook in production, what risks or prerequisites should they evaluate first?
    pass
    AI named alishobeiri/thread-notebook 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 alishobeiri/thread-notebook solve, and who is the primary audience?
    pass
    AI named alishobeiri/thread-notebook explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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