RRepoGEO

REPOGEO REPORT · LITE

facebookresearch/shumai

Default branch main · commit 1c14c76d · scanned 5/24/2026, 2:18:02 PM

GitHub: 1,170 stars · 26 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 facebookresearch/shumai, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumreadme#1
    Strengthen README's opening paragraph with core differentiators

    Why:

    CURRENT
    A [fast](#benchmarks), network-connected, differentiable tensor library for TypeScript (and JavaScript). Built with bun + flashlight for software engineers and researchers alike.
    COPY-PASTE FIX
    Shumai is a fast, network-connected, differentiable tensor library for TypeScript (and JavaScript), offering a PyTorch-like API for deep learning. Built with Bun + Flashlight, it's optimized for server-side execution and high-performance ML for software engineers and researchers.
  • lowreadme#2
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

(Consider adding a section here that compares Shumai to other popular JavaScript/TypeScript ML libraries like TensorFlow.js, ONNX.js, and NumJS, highlighting Shumai's strengths in areas like PyTorch-like API, server-side focus, and native performance via Bun + Flashlight.)

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 facebookresearch/shumai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tfjs
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tfjs · recommended 1×
  2. Deeplearn.js · recommended 1×
  3. microsoft/onnxjs · recommended 1×
  4. nicolaspanel/numjs · recommended 1×
  5. josdejong/mathjs · recommended 1×
  • CATEGORY QUERY
    Need a fast differentiable tensor library for scientific computing in JavaScript or TypeScript.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow.js (tensorflow/tfjs)
    2. Deeplearn.js
    3. ONNX.js (microsoft/onnxjs)
    4. NumJS (nicolaspanel/numjs)
    5. Math.js (josdejong/mathjs)

    AI recommended 5 alternatives but never named facebookresearch/shumai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best options for a high-performance tensor library in TypeScript for ML?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow.js
    2. ONNX Runtime Web
    3. NumPy.js
    4. nd4js
    5. Math.js
    6. Danfo.js

    AI recommended 6 alternatives but never named facebookresearch/shumai. 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 facebookresearch/shumai?
    pass
    AI named facebookresearch/shumai explicitly

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

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

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

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facebookresearch/shumai — 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