RRepoGEO

REPOGEO REPORT · LITE

ironjr/grokfast

Default branch main · commit 93b2248e · scanned 6/4/2026, 8:03:32 AM

GitHub: 581 stars · 51 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 ironjr/grokfast, 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 project type and scope at the top of the README

    Why:

    CURRENT
    The README currently starts with a centered div and H1, followed by authors and then a "tl;dr".
    COPY-PASTE FIX
    Add the following sentence immediately after the H1 (or as the very first line of text after any initial badges/links): "This repository contains the official code implementation for the research paper 'Grokfast: Accelerated Grokking by Amplifying Slow Gradients'. It is a research artifact, not a general-purpose library or framework."
  • mediumabout#2
    Emphasize "code implementation" in the repository description

    Why:

    CURRENT
    Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
    COPY-PASTE FIX
    Official code implementation for the research paper 'Grokfast: Accelerated Grokking by Amplifying Slow Gradients'.
  • lowtopics#3
    Add topics to explicitly signal research code

    Why:

    CURRENT
    deep-learning, grokking, machine-learning, optimization, signal-processing
    COPY-PASTE FIX
    deep-learning, grokking, machine-learning, optimization, signal-processing, research-code, paper-implementation

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 ironjr/grokfast
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AdamW
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AdamW · recommended 2×
  2. SGD with Momentum · recommended 1×
  3. Dropout · recommended 1×
  4. BatchNorm · recommended 1×
  5. RandomCrop · recommended 1×
  • CATEGORY QUERY
    How can I accelerate delayed generalization in deep learning models exhibiting grokking?
    you: not recommended
    AI recommended (in order):
    1. AdamW
    2. SGD with Momentum
    3. Dropout
    4. BatchNorm
    5. RandomCrop
    6. RandomHorizontalFlip
    7. ColorJitter
    8. Mixup
    9. CutMix
    10. Cosine Annealing with Warmup
    11. One-Cycle Policy (Leslie Smith's)
    12. Adam

    AI recommended 12 alternatives but never named ironjr/grokfast. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which machine learning optimization techniques amplify low-frequency gradients to improve training speed?
    you: not recommended
    AI recommended (in order):
    1. AdamW
    2. LAMB
    3. LARS
    4. Lookahead
    5. Fourier Features
    6. Kaiming
    7. Xavier
    8. Adaptive Gradient Clipping

    AI recommended 8 alternatives but never named ironjr/grokfast. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 ironjr/grokfast?
    pass
    AI named ironjr/grokfast explicitly

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

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

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

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ironjr/grokfast — 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