RRepoGEO

REPOGEO REPORT · LITE

BAILOOL/DoYouEvenLearn

Default branch master · commit 9471974e · scanned 6/19/2026, 11:02:56 PM

GitHub: 1,066 stars · 122 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
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 BAILOOL/DoYouEvenLearn, 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
  • highreadme#1
    Reposition the README's opening statement to clarify its purpose

    Why:

    CURRENT
    # Essential Guide to keep up with AI/ML/DL/CV

These fields are booming these days. In order not to become rusty, one has to constantly follow the updates. Here is the essential guide on how to keep up with the important news/papers/discussions/tutorials. This guide is by no means an exhaustive one so contributions are truly welcome.
    COPY-PASTE FIX
    **# DoYouEvenLearn: The Curated Guide to Staying Current in AI/ML/DL/CV & Connecting with Local Communities**

In the rapidly evolving fields of AI, Machine Learning, Deep Learning, and Computer Vision, staying updated is crucial. This repository serves as an essential, curated guide to the best resources for following important news, papers, discussions, and tutorials. It also provides a comprehensive directory to help you connect with active local AI/ML communities worldwide. Contributions are highly welcome to keep this guide current and comprehensive.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/BAILOOL/DoYouEvenLearn

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 BAILOOL/DoYouEvenLearn
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kaggle
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaggle · recommended 2×
  2. arXiv.org · recommended 1×
  3. arXiv Sanity Preserver · recommended 1×
  4. Twitter (X) · recommended 1×
  5. Hugging Face Blog/Newsletter · recommended 1×
  • CATEGORY QUERY
    How can I effectively stay current with the latest advancements in AI and machine learning?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. arXiv Sanity Preserver
    3. Twitter (X)
    4. Hugging Face Blog/Newsletter
    5. DeepLearning.AI Newsletters & Courses
    6. The Batch
    7. The Inside Story
    8. Google AI Blog
    9. Meta AI Blog
    10. OpenAI Blog
    11. DeepMind Blog
    12. Towards Data Science (Medium)
    13. Kaggle

    AI recommended 13 alternatives but never named BAILOOL/DoYouEvenLearn. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find comprehensive guides and communities for deep learning and computer vision?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. fast.ai
    4. Kaggle
    5. Coursera
    6. OpenCV
    7. Papers With Code

    AI recommended 7 alternatives but never named BAILOOL/DoYouEvenLearn. 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 BAILOOL/DoYouEvenLearn?
    pass
    AI did not name BAILOOL/DoYouEvenLearn — 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 BAILOOL/DoYouEvenLearn in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BAILOOL/DoYouEvenLearn 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 BAILOOL/DoYouEvenLearn solve, and who is the primary audience?
    pass
    AI named BAILOOL/DoYouEvenLearn explicitly

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

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BAILOOL/DoYouEvenLearn — 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