RRepoGEO

REPOGEO REPORT · LITE

BobMcDear/attorch

Default branch main · commit 88ed34d0 · scanned 6/7/2026, 7:47:23 PM

GitHub: 601 stars · 32 forks

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 BobMcDear/attorch, 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
    Add a concise, descriptive tagline directly under the H1 in README

    Why:

    CURRENT
    # attorch
    COPY-PASTE FIX
    # attorch

A hackable, self-contained collection of PyTorch-like neural network modules, written purely in Python using OpenAI's Triton for high-efficiency custom deep learning operations without direct CUDA kernels.
  • mediumtopics#2
    Add topics for custom operations and module library

    Why:

    CURRENT
    cuda, deep-learning, machine-learning, openai, openai-triton, pytorch, triton
    COPY-PASTE FIX
    cuda, deep-learning, machine-learning, openai, openai-triton, pytorch, triton, custom-deep-learning-operations, neural-network-library, triton-modules
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/BobMcDear/attorch

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 BobMcDear/attorch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
apache/tvm
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/tvm · recommended 1×
  2. tensorflow/tensorflow · recommended 1×
  3. pytorch/pytorch · recommended 1×
  4. openvinotoolkit/openvino · recommended 1×
  5. microsoft/onnxruntime · recommended 1×
  • CATEGORY QUERY
    How to accelerate custom deep learning operations without writing direct CUDA kernels?
    you: not recommended
    AI recommended (in order):
    1. Apache TVM (apache/tvm)
    2. TensorFlow XLA (tensorflow/tensorflow)
    3. PyTorch JIT (pytorch/pytorch)
    4. OpenVINO Toolkit (openvinotoolkit/openvino)
    5. ONNX Runtime (microsoft/onnxruntime)
    6. NVIDIA TensorRT (nvidia/tensorrt)

    AI recommended 6 alternatives but never named BobMcDear/attorch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python library to implement fast neural network modules beyond standard PyTorch speed.
    you: not recommended
    AI recommended (in order):
    1. JAX
    2. PyTorch
    3. TorchScript
    4. C++ Extensions
    5. TensorFlow
    6. XLA
    7. Custom Ops (C++/CUDA)
    8. Apache TVM
    9. Numba

    AI recommended 9 alternatives but never named BobMcDear/attorch. 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 BobMcDear/attorch?
    pass
    AI named BobMcDear/attorch explicitly

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

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

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

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BobMcDear/attorch — 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