RRepoGEO

REPOGEO REPORT · LITE

johnma2006/mamba-minimal

Default branch master · commit 03de542a · scanned 5/16/2026, 12:02:44 AM

GitHub: 2,946 stars · 224 forks

AI VISIBILITY SCORE
22 /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
1 / 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 johnma2006/mamba-minimal, 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 H1 and opening paragraph to emphasize learning and readability

    Why:

    CURRENT
    ## mamba-minimal
    
    Simple, minimal implementation of Mamba in one file of PyTorch.
    COPY-PASTE FIX
    ## mamba-minimal: A Minimal, Readable PyTorch Implementation of Mamba for Learning
    
    This repository provides a simple, single-file PyTorch implementation of the Mamba State Space Model (SSM), specifically designed for educational purposes and easy understanding. It prioritizes clarity and readability over speed, making it ideal for researchers and developers looking to learn the Mamba architecture.
  • mediumhomepage#2
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/johnma2006/mamba-minimal

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 johnma2006/mamba-minimal
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
S4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. S4 · recommended 1×
  2. Mamba · recommended 1×
  3. H3 · recommended 1×
  4. DSS · recommended 1×
  5. LSSL · recommended 1×
  • CATEGORY QUERY
    Looking for a minimal PyTorch implementation of a modern state space model for learning.
    you: not recommended
    AI recommended (in order):
    1. S4
    2. Mamba
    3. H3
    4. DSS
    5. LSSL

    AI recommended 5 alternatives but never named johnma2006/mamba-minimal. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a simple, readable PyTorch example of the Mamba architecture?
    you: not recommended
    AI recommended (in order):
    1. state-spaces/mamba (state-spaces/mamba)
    2. huggingface/transformers (huggingface/transformers)
    3. johnmave126/mamba.py (johnmave126/mamba.py)
    4. lucidrains/mamba-pytorch (lucidrains/mamba-pytorch)

    AI recommended 4 alternatives but never named johnma2006/mamba-minimal. 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 johnma2006/mamba-minimal?
    pass
    AI did not name johnma2006/mamba-minimal — 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 johnma2006/mamba-minimal in production, what risks or prerequisites should they evaluate first?
    pass
    AI named johnma2006/mamba-minimal 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 johnma2006/mamba-minimal solve, and who is the primary audience?
    pass
    AI did not name johnma2006/mamba-minimal — 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?

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johnma2006/mamba-minimal — RepoGEO report