RRepoGEO

REPOGEO REPORT · LITE

AndrasKovacs/smalltt

Default branch master · commit ea99b0f4 · scanned 6/8/2026, 5:47:56 PM

GitHub: 591 stars · 28 forks

AI VISIBILITY SCORE
35 /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
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 AndrasKovacs/smalltt, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    type-theory, dependent-types, elaboration, type-checking, high-performance, haskell, programming-languages, research-project, proof-assistants
  • mediumabout#2
    Refine the repository description for clarity and keywords

    Why:

    CURRENT
    Demo for high-performance type theory elaboration
    COPY-PASTE FIX
    A research demo project exploring advanced techniques for high-performance elaboration and type checking in dependent type theory, with a focus on pedagogical implementation.
  • lowreadme#3
    Add a concise purpose statement to the README's introduction

    Why:

    COPY-PASTE FIX
    This project is a minimalist research demo, designed for exploring high-performance dependent type elaboration techniques and serving as a pedagogical example rather than a production-ready language.

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 AndrasKovacs/smalltt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
—
No competitor dominated
  • CATEGORY QUERY
    How to achieve high-performance type checking and elaboration for dependent types?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    What advanced techniques are used for efficient implementation of dependent type systems?
    you: not recommended
    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 AndrasKovacs/smalltt?
    pass
    AI named AndrasKovacs/smalltt explicitly

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

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

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

Embed your GEO score

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AndrasKovacs/smalltt — 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