RRepoGEO

REPOGEO REPORT · LITE

morganstanley/hobbes

Default branch main · commit 713b7637 · scanned 5/15/2026, 1:43:23 AM

GitHub: 1,198 stars · 115 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 morganstanley/hobbes, 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
  • highabout#1
    Update the repository description to clarify its C++ integration

    Why:

    CURRENT
    A language and an embedded JIT compiler
    COPY-PASTE FIX
    A high-performance language and embedded JIT compiler for dynamic expression evaluation and data analysis, designed for seamless integration with C++ applications.
  • hightopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    haskell-application, hobbes
    COPY-PASTE FIX
    haskell-application, hobbes, jit-compiler, embedded-language, c-plus-plus, dynamic-evaluation, data-analysis, financial-applications
  • mediumreadme#3
    Refine the README's main heading to highlight C++ embedding and financial context

    Why:

    CURRENT
    # hobbes
a language, embedded compiler, and runtime for efficient dynamic expression evaluation, data storage and analysis
    COPY-PASTE FIX
    # hobbes: A high-performance language and embedded JIT compiler for C++ applications, enabling efficient dynamic expression evaluation and data analysis, especially in financial contexts.

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 morganstanley/hobbes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DynASM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DynASM · recommended 2×
  2. LLVM · recommended 1×
  3. AsmJit · recommended 1×
  4. libjit · recommended 1×
  5. TinyJIT · recommended 1×
  • CATEGORY QUERY
    How to embed a high-performance JIT compiler for dynamic expression evaluation in C++?
    you: not recommended
    AI recommended (in order):
    1. LLVM
    2. AsmJit
    3. libjit
    4. TinyJIT
    5. DynASM
    6. LuaJIT

    AI recommended 6 alternatives but never named morganstanley/hobbes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for a custom language with JIT compilation for efficient data analysis?
    you: not recommended
    AI recommended (in order):
    1. LLVM (llvm/llvm-project)
    2. GraalVM (oracle/graal)
    3. Apache Arrow (apache/arrow)
    4. Julia (JuliaLang/julia)
    5. Numba (numba/numba)
    6. libjit (libjit/libjit)
    7. DynASM

    AI recommended 7 alternatives but never named morganstanley/hobbes. 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 morganstanley/hobbes?
    pass
    AI named morganstanley/hobbes explicitly

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

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

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

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morganstanley/hobbes — 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