RRepoGEO

REPOGEO REPORT · LITE

trevin-creator/autoresearch-mlx

Default branch main · commit ba6ebf6d · scanned 6/23/2026, 5:22:36 AM

GitHub: 1,687 stars · 351 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 trevin-creator/autoresearch-mlx, 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 paragraph to clarify its core purpose

    Why:

    CURRENT
    # autoresearch-mlx

Apple Silicon (MLX) port of Karpathy's autoresearch.
    COPY-PASTE FIX
    # autoresearch-mlx

This project is an autonomous AI research agent, enabling self-improving machine learning models through fixed-time research loops directly on your Mac. It's an Apple Silicon (MLX) port of Karpathy's original autoresearch, running natively without PyTorch or CUDA.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add a URL to a project page, demo, or relevant documentation (e.g., a GitHub Pages site or a dedicated project website).

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 trevin-creator/autoresearch-mlx
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MLflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MLflow · recommended 1×
  2. DVC · recommended 1×
  3. Git · recommended 1×
  4. Hydra · recommended 1×
  5. Weights & Biases · recommended 1×
  • CATEGORY QUERY
    How can I automate iterative machine learning model development and experimentation on local hardware?
    you: not recommended
    AI recommended (in order):
    1. MLflow
    2. DVC
    3. Git
    4. Hydra
    5. Weights & Biases
    6. Pachyderm
    7. Kedro

    AI recommended 7 alternatives but never named trevin-creator/autoresearch-mlx. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for running AI training experiments natively on Apple Silicon without PyTorch.
    you: not recommended
    AI recommended (in order):
    1. JAX
    2. TensorFlow
    3. TensorFlow Lite
    4. TensorFlow Metal Plugin
    5. Core ML Tools
    6. MXNet
    7. ONNX Runtime

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

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

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trevin-creator/autoresearch-mlx — 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