RRepoGEO

REPOGEO REPORT · LITE

merrymercy/awesome-tensor-compilers

Default branch master · commit 75e1f919 · scanned 5/21/2026, 6:27:55 PM

GitHub: 2,751 stars · 325 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 merrymercy/awesome-tensor-compilers, 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
    Clarify the README's opening to emphasize it's an 'awesome list' of resources

    Why:

    CURRENT
    A list of awesome compiler projects and papers for tensor computation and deep learning.
    COPY-PASTE FIX
    A curated list of awesome open-source projects, research papers, and tutorials for tensor computation and deep learning compilers.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clearly state the terms of use for the list's content and contributions.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL to `https://github.com/merrymercy/awesome-tensor-compilers` (or a custom domain if one exists) in the GitHub repository settings.

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 merrymercy/awesome-tensor-compilers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tensorflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tensorflow · recommended 1×
  2. apache/tvm · recommended 1×
  3. pytorch/pytorch · recommended 1×
  4. openvinotoolkit/openvino · recommended 1×
  5. NVIDIA/TensorRT · recommended 1×
  • CATEGORY QUERY
    How can I achieve high-performance deep learning models using specialized compiler technology?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow XLA (tensorflow/tensorflow)
    2. Apache TVM (apache/tvm)
    3. PyTorch TorchDynamo (pytorch/pytorch)
    4. OpenVINO Toolkit (openvinotoolkit/openvino)
    5. NVIDIA TensorRT (NVIDIA/TensorRT)
    6. MLIR (llvm/llvm-project)

    AI recommended 6 alternatives but never named merrymercy/awesome-tensor-compilers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find open-source projects for optimizing tensor computation and machine learning code generation?
    you: not recommended
    AI recommended (in order):
    1. Apache TVM
    2. MLIR
    3. Halide
    4. OpenXLA
    5. Triton
    6. IREE
    7. Tensor Comprehensions

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

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

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merrymercy/awesome-tensor-compilers — 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