RRepoGEO

REPOGEO REPORT · LITE

microsoft/PythonProgrammingPuzzles

Default branch main · commit 017f488b · scanned 6/9/2026, 10:16:54 PM

GitHub: 998 stars · 96 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
22 /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
1 / 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 microsoft/PythonProgrammingPuzzles, 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 opening to emphasize AI dataset purpose

    Why:

    CURRENT
    # Python Programming Puzzles (P3)
    
    This repo contains a dataset of Python programming puzzles which can be used to teach and evaluate an AI's programming proficiency. We present code generated by OpenAI's  
    codex neural network  
    solving many of these puzzles. We hope this dataset will 
    **grow rapidly**, and it is already diverse in terms of problem difficulty, domain, 
    and algorithmic tools needed to solve the problems. Please
    [propose a new puzzle](../../issues/new?assignees=akalai&labels=New-puzzle&template=new-puzzle.md&title=New+puzzle) 
     or [browse newly proposed puzzles](../../issues?q=is%3Aopen+is%3Aissue+label%3ANew-puzzle) 
    or [contribute through pull requests](../../wiki/How-to-add-a-puzzle).
    COPY-PASTE FIX
    # Python Programming Puzzles (P3): A Dataset for AI Programming Research and Evaluation
    
    This repository introduces **Python Programming Puzzles (P3)**, a unique **dataset** specifically curated for **AI research** to teach, evaluate, and benchmark the programming proficiency of AI models. It provides a diverse collection of Python programming puzzles, already used to present code generated by OpenAI's Codex neural network solving many of these. We hope this dataset will grow rapidly in terms of problem difficulty, domain, and algorithmic tools needed. Please [propose a new puzzle](../../issues/new?assignees=akalai&labels=New-puzzle&template=new-puzzle.md&title=New+puzzle) or [browse newly proposed puzzles](../../issues?q=is%3Aopen+is%3Aissue+label%3ANew-puzzle) or [contribute through pull requests](../../wiki/How-to-add-a-puzzle).
  • highhomepage#2
    Add project homepage URL

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2106.05784
  • mediumtopics#3
    Refine topics to emphasize AI datasets and evaluation

    Why:

    CURRENT
    ai, program-synthesis, programming-competitions, puzzles
    COPY-PASTE FIX
    ai, program-synthesis, ai-datasets, code-generation, ai-evaluation, machine-learning-datasets, python-puzzles

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 microsoft/PythonProgrammingPuzzles
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kaggle
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaggle · recommended 1×
  2. Hugging Face · recommended 1×
  3. DrivenData · recommended 1×
  4. Codewars · recommended 1×
  5. LeetCode · recommended 1×
  • CATEGORY QUERY
    Where can I find Python coding challenges to evaluate AI model programming skills?
    you: not recommended
    AI recommended (in order):
    1. Kaggle
    2. Hugging Face
    3. DrivenData
    4. Codewars
    5. LeetCode
    6. Google AI Challenge

    AI recommended 6 alternatives but never named microsoft/PythonProgrammingPuzzles. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What datasets are available for training AI on Python code generation tasks?
    you: not recommended
    AI recommended (in order):
    1. CodeSearchNet Corpus
    2. GitHub Public Datasets
    3. Google BigQuery
    4. APPS
    5. HumanEval
    6. CodeContests
    7. StackOverflow Data Dump

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

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microsoft/PythonProgrammingPuzzles — 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