RRepoGEO

REPOGEO REPORT · LITE

tanishqkumar/beyond-nanogpt

Default branch main · commit e9eb95c7 · scanned 6/30/2026, 10:23:38 AM

GitHub: 1,326 stars · 110 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
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 tanishqkumar/beyond-nanogpt, 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 H1 and opening sentence to emphasize breadth and methodology

    Why:

    CURRENT
    ## Beyond NanoGPT: Go From LLM Beginner to AI Researcher!
    
    **Beyond-NanoGPT** is the minimal and educational repo aiming to **bridge between nanoGPT and research-level deep learning.**
    COPY-PASTE FIX
    ## Beyond NanoGPT: Annotated, From-Scratch Implementations for Advanced Deep Learning Research
    
    **Beyond-NanoGPT** is the minimal and educational repository providing **annotated, from-scratch implementations of nearly 100 crucial modern techniques across LLMs, Vision, Generative Models, Reinforcement Learning, and Systems fundamentals, bridging the gap from beginner to AI researcher.**
  • mediumhomepage#2
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/tanishqkumar/beyond-nanogpt

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 tanishqkumar/beyond-nanogpt
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
fastai/fastai
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. fastai/fastai · recommended 2×
  2. pytorch/pytorch · recommended 1×
  3. tensorflow/tensorflow · recommended 1×
  4. google/jax · recommended 1×
  5. numpy/numpy · recommended 1×
  • CATEGORY QUERY
    How can I learn advanced deep learning techniques with annotated, from-scratch implementations?
    you: not recommended
    AI recommended (in order):
    1. fast.ai (fastai/fastai)
    2. PyTorch (pytorch/pytorch)
    3. TensorFlow (tensorflow/tensorflow)
    4. JAX (google/jax)
    5. NumPy (numpy/numpy)

    AI recommended 5 alternatives but never named tanishqkumar/beyond-nanogpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find educational implementations to understand modern AI model architectures and training algorithms?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Examples (pytorch/examples)
    2. TensorFlow Tutorials
    3. Hugging Face Transformers Library (huggingface/transformers)
    4. Keras Examples
    5. fast.ai Course Notebooks (fastai/fastai)
    6. Deep Learning with Python (fchollet/deep-learning-with-python-notebooks)

    AI recommended 6 alternatives but never named tanishqkumar/beyond-nanogpt. 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 tanishqkumar/beyond-nanogpt?
    pass
    AI named tanishqkumar/beyond-nanogpt explicitly

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

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

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

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tanishqkumar/beyond-nanogpt — 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