RRepoGEO

REPOGEO REPORT · LITE

digantamisra98/Mish

Default branch master · commit 5e99b160 · scanned 5/25/2026, 12:48:05 PM

GitHub: 1,300 stars · 127 forks

AI VISIBILITY SCORE
82 /100
Healthy
Category recall
2 / 2
Avg rank #4.5 when recommended
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 digantamisra98/Mish, 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 introductory paragraph to the README

    Why:

    CURRENT
    The README excerpt shows badges and a <details> tag immediately after the H1, potentially delaying the core descriptive text.
    COPY-PASTE FIX
    Add a paragraph immediately after the initial badges/H1, such as: 'Mish is a novel self-regularized, non-monotonic activation function designed to significantly improve deep learning model accuracy and generalization. It consistently outperforms common alternatives like ReLU, Swish, and GELU across various computer vision tasks by providing a smoother, non-zero gradient everywhere.'
  • mediumreadme#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., 'Comparison with other Activation Functions,' detailing how Mish's smooth, non-monotonic, and self-regularized properties offer advantages over ReLU, Swish, and GELU, particularly in terms of performance and generalization.
  • mediumreadme#3
    Move important variant links out of the 'Notes' details tag

    Why:

    CURRENT
    The README excerpt shows important links (CUDA, memory-efficient, faster variants) nested inside a <details> tag.
    COPY-PASTE FIX
    Create a new top-level section in the README, such as 'Performance Enhancements and Variants,' and move the links and descriptions for Mish CUDA, memory-efficient versions, and other faster variants out of the 'Notes' <details> tag into this new, visible section.

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
2 / 2
100% of queries surface digantamisra98/Mish
Avg rank
#4.5
Lower is better. #1 = top recommendation.
Share of voice
17%
Of all named tools, what % are you?
Top rival
Swish
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Swish · recommended 2×
  2. GELU · recommended 2×
  3. ReLU · recommended 1×
  4. Leaky ReLU · recommended 1×
  5. ELU · recommended 1×
  • CATEGORY QUERY
    What activation functions improve deep learning model accuracy and generalization?
    you: #6
    AI recommended (in order):
    1. ReLU
    2. Leaky ReLU
    3. ELU
    4. Swish
    5. GELU
    6. Mish ← you
    Show full AI answer
  • CATEGORY QUERY
    Seeking non-monotonic activation functions for computer vision tasks in deep neural networks.
    you: #3
    AI recommended (in order):
    1. Swish
    2. SiLU
    3. Mish ← you
    4. GELU
    5. Snake
    6. Softsign
    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 digantamisra98/Mish?
    pass
    AI named digantamisra98/Mish explicitly

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

  • If a team adopts digantamisra98/Mish in production, what risks or prerequisites should they evaluate first?
    pass
    AI named digantamisra98/Mish 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 digantamisra98/Mish solve, and who is the primary audience?
    pass
    AI named digantamisra98/Mish explicitly

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

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digantamisra98/Mish — 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