RRepoGEO

REPOGEO REPORT · LITE

alishobeiri/thread-notebook

Default branch main · commit 703c9672 · scanned 6/24/2026, 8:42:04 PM

GitHub: 1,104 stars · 56 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)

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

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 project's core identity and "thread" meaning in README intro

    Why:

    CURRENT
    Thread is a Jupyter alternative that integrates an AI copilot into your Jupyter Notebook editing experience.
    COPY-PASTE FIX
    Thread is an AI-powered Jupyter Notebook *alternative* that deeply integrates an AI copilot into your editing experience. Unlike traditional Jupyter, Thread is built from the ground up for AI-assisted data analysis and code generation. (Note: 'Thread' in our name refers to a continuous flow of AI interaction, not Python's threading module.)
  • mediumabout#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/alishobeiri/thread
  • mediumreadme#3
    Add a sentence to the README intro clarifying its unique position among AI coding tools

    Why:

    COPY-PASTE FIX
    While other tools add AI features to Jupyter, Thread is engineered as a complete, local-first Jupyter *alternative* with AI deeply integrated into every aspect of the notebook workflow, from cell generation to error fixing.

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
Code Llama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Code Llama · recommended 2×
  2. CodeGemma · recommended 2×
  3. Ollama · recommended 2×
  4. LM Studio · recommended 2×
  5. GitHub Copilot · recommended 1×
  • CATEGORY QUERY
    Looking for an AI assistant to generate and debug code directly within a Jupyter-like environment.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Jupyter AI (jupyterlab/jupyter-ai)
    3. Code Llama (facebookresearch/codellama)
    4. Google Gemini
    5. Amazon CodeWhisperer
    6. Tabnine

    AI recommended 6 alternatives but never named alishobeiri/thread-notebook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good local AI tools for data analysis and interactive code generation in notebooks?
    you: not recommended
    AI recommended (in order):
    1. JupyterLab
    2. Code Llama
    3. CodeGemma
    4. Mistral
    5. Mixtral
    6. jupyter-ai
    7. Ollama
    8. LM Studio
    9. VS Code
    10. Jupyter Extension
    11. Code Llama
    12. CodeGemma
    13. Continue
    14. Ollama
    15. LM Studio
    16. DataSpell
    17. Spyder
    18. NumPy
    19. SciPy
    20. RStudio
    21. R Markdown
    22. reticulate

    AI recommended 22 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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alishobeiri/thread-notebook — 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