RRepoGEO

REPOGEO REPORT · LITE

whwangovo/pyre-code

Default branch main · commit 797cf037 · scanned 5/11/2026, 10:18:05 PM

GitHub: 1,008 stars · 87 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 whwangovo/pyre-code, 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 README H1 subtitle to clearly state project's purpose as an ML coding platform

    Why:

    CURRENT
    <p align="center">
    <em>Implement the internals of modern AI systems from scratch — Transformers, vLLM, TRL, and beyond.</em>
  </p>
    COPY-PASTE FIX
    <p align="center">
    <em>A self-hosted platform for hands-on ML coding practice and interview preparation. Implement the internals of modern AI systems from scratch — Transformers, vLLM, TRL, and beyond.</em>
  </p>
  • hightopics#2
    Add specific, relevant topics to improve categorization and search

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    machine-learning, ml-engineering, coding-challenges, interview-preparation, deep-learning, transformers, diffusion-models, rlhf, attention-mechanisms, python
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://pyre-code.com

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 whwangovo/pyre-code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NumPy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NumPy · recommended 1×
  2. Scikit-learn · recommended 1×
  3. Jupyter Notebooks · recommended 1×
  4. Google Colab · recommended 1×
  5. Pandas · recommended 1×
  • CATEGORY QUERY
    How can I practice implementing machine learning models from scratch for interview prep?
    you: not recommended
    AI recommended (in order):
    1. NumPy
    2. Scikit-learn
    3. Jupyter Notebooks
    4. Google Colab
    5. Pandas
    6. Matplotlib
    7. Seaborn
    8. Python's `math` module

    AI recommended 8 alternatives but never named whwangovo/pyre-code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good platforms for hands-on coding challenges in attention, diffusion, and RLHF?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face
    2. transformers
    3. diffusers
    4. trl
    5. Kaggle
    6. Google Colaboratory (Colab)
    7. Google Cloud AI Platform Notebooks
    8. PyTorch Lightning
    9. TensorFlow Keras
    10. GitHub
    11. DeepLearning.AI (Coursera)
    12. OpenAI Gym
    13. Gymnasium

    AI recommended 13 alternatives but never named whwangovo/pyre-code. 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 whwangovo/pyre-code?
    pass
    AI named whwangovo/pyre-code explicitly

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

  • If a team adopts whwangovo/pyre-code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named whwangovo/pyre-code 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 whwangovo/pyre-code solve, and who is the primary audience?
    pass
    AI did not name whwangovo/pyre-code — 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?

Embed your GEO score

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whwangovo/pyre-code — 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