RRepoGEO

REPOGEO REPORT · LITE

amitness/learning

Default branch master · commit 896731bd · scanned 5/18/2026, 3:22:44 AM

GitHub: 6,872 stars · 883 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)

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

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 amitness/learning, 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 the README's opening to highlight its curated learning path nature

    Why:

    CURRENT
    # learning

A running log of things I'm learning to build strong core software engineering skills while also expanding my knowledge of adjacent technologies everyday.
    COPY-PASTE FIX
    # learning

A curated learning path and running log of resources for building strong core software engineering skills, with a focus on Generative AI, Machine Learning, and System Design.
  • mediumtopics#2
    Add more specific topics emphasizing its role as a curated resource list

    Why:

    CURRENT
    deep-learning, generative-ai, learning-resources, llms, machine-learning, nlp, python
    COPY-PASTE FIX
    deep-learning, generative-ai, learning-resources, llms, machine-learning, nlp, python, curated-list, learning-path, study-guide, awesome-list
  • lowabout#3
    Refine the repository description to better reflect its curated nature

    Why:

    CURRENT
    A log of things I'm learning
    COPY-PASTE FIX
    A curated log of learning resources and progress in Generative AI, Machine Learning, and System Design.

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 amitness/learning
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Awesome Generative AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Awesome Generative AI · recommended 1×
  2. Google's Generative AI Learning Path · recommended 1×
  3. Hugging Face · recommended 1×
  4. DeepLearning.AI · recommended 1×
  5. Towards Data Science · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of resources for learning generative AI and ML?
    you: not recommended
    AI recommended (in order):
    1. Awesome Generative AI
    2. Google's Generative AI Learning Path
    3. Hugging Face
    4. DeepLearning.AI
    5. Towards Data Science
    6. Kaggle Learn

    AI recommended 6 alternatives but never named amitness/learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good learning paths and resources for mastering machine learning system design?
    you: not recommended
    AI recommended (in order):
    1. Coursera: Machine Learning by Andrew Ng
    2. Coursera: Deep Learning Specialization by Andrew Ng (DeepLearning.AI)
    3. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    4. Scikit-Learn
    5. Keras
    6. TensorFlow
    7. Designing Data-Intensive Applications
    8. AlgoExpert
    9. Educative
    10. Clean Code
    11. Machine Learning Engineering
    12. Coursera: MLOps Specialization by Google Cloud
    13. Building Machine Learning Powered Applications
    14. Google AI
    15. Netflix TechBlog
    16. Uber Engineering Blog
    17. AWS Machine Learning Learning Path
    18. Amazon SageMaker
    19. AWS Lambda
    20. S3
    21. EC2
    22. Google Cloud Professional Machine Learning Engineer Certification Guide
    23. Vertex AI
    24. BigQuery ML
    25. Dataflow
    26. Microsoft Azure AI Engineer Associate Certification Guide
    27. Azure Machine Learning
    28. Azure Databricks
    29. Azure Synapse Analytics
    30. Kaggle Competitions
    31. Flask
    32. FastAPI
    33. Docker
    34. Kubeflow
    35. MLflow
    36. Airflow
    37. Feast

    AI recommended 37 alternatives but never named amitness/learning. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 amitness/learning?
    pass
    AI named amitness/learning explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of amitness/learning. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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amitness/learning — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite