RRepoGEO

REPOGEO REPORT · LITE

robertcprice/nCPU

Default branch main · commit 5bc901bc · scanned 6/14/2026, 9:13:01 AM

GitHub: 641 stars · 28 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 robertcprice/nCPU, 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
  • highabout#1
    Refine 'About' description to clarify project's unique nature

    Why:

    CURRENT
    nCPU: model-native and tensor-optimized CPU research runtimes with organized workloads, tools, and docs
    COPY-PASTE FIX
    nCPU: A research project building a complete computer from trained neural networks, enabling program synthesis via a fully differentiable stack (not a traditional CPU benchmark).
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    neural-networks, differentiable-programming, program-synthesis, neural-computer, machine-learning-systems, operating-system-research, alu-design
  • mediumreadme#3
    Clarify existing license in README

    Why:

    COPY-PASTE FIX
    Add a section to the README, perhaps under 'License', stating: 'This project is licensed under [specify actual license(s) here, e.g., a custom research license or a combination of licenses]. Please refer to the 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 robertcprice/nCPU
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow/Keras
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow/Keras · recommended 1×
  2. PyTorch · recommended 1×
  3. ONNX Runtime · recommended 1×
  4. TVM · recommended 1×
  5. Rust · recommended 1×
  • CATEGORY QUERY
    What tools exist for building a computer's operating system and arithmetic with neural networks?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow/Keras
    2. PyTorch
    3. ONNX Runtime
    4. TVM
    5. Rust
    6. C/C++
    7. MicroPython/CircuitPython

    AI recommended 7 alternatives but never named robertcprice/nCPU. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to achieve program synthesis by gradient descent across a fully differentiable computer stack?
    you: not recommended
    AI recommended (in order):
    1. DreamCoder
    2. DeepMind's NSI
    3. Google's differentiable interpreters
    4. Differentiable Forth-like Interpreters
    5. Neural Module Networks (NMNs)
    6. Pyro
    7. Stan
    8. TensorFlow Probability
    9. Edward2
    10. Neural Turing Machines (NTMs)
    11. Differentiable Neural Computers (DNCs)
    12. AlphaCode
    13. AlphaGo's policy networks
    14. OpenAI's Codex
    15. InstructGPT
    16. MAML

    AI recommended 16 alternatives but never named robertcprice/nCPU. 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 robertcprice/nCPU?
    pass
    AI named robertcprice/nCPU explicitly

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

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

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

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robertcprice/nCPU — 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