RRepoGEO

REPOGEO REPORT · LITE

nat/openplayground

Default branch main · commit 7f3f7903 · scanned 5/26/2026, 4:52:37 AM

GitHub: 6,355 stars · 485 forks

AI VISIBILITY SCORE
28 /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
2 / 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 nat/openplayground, 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
  • highhomepage#1
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://nat.dev
  • mediumreadme#2
    Emphasize side-by-side comparison in README's opening

    Why:

    CURRENT
    An LLM playground you can run on your laptop.
    COPY-PASTE FIX
    An LLM playground you can run on your laptop. Easily compare models side-by-side, tune parameters, and experiment with various providers and local models.

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 nat/openplayground
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
lmstudio-ai/lmstudio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. lmstudio-ai/lmstudio · recommended 1×
  2. ollama/ollama · recommended 1×
  3. janhq/jan · recommended 1×
  4. mudler/LocalAI · recommended 1×
  5. oobabooga/text-generation-webui · recommended 1×
  • CATEGORY QUERY
    What are good tools for interactively experimenting with large language models locally?
    you: not recommended
    AI recommended (in order):
    1. LM Studio (lmstudio-ai/lmstudio)
    2. Ollama (ollama/ollama)
    3. Jan (janhq/jan)
    4. LocalAI (mudler/LocalAI)
    5. text-generation-webui (oobabooga) (oobabooga/text-generation-webui)
    6. KoboldCpp (LostRuins/koboldcpp)
    7. Hugging Face Transformers library (huggingface/transformers)

    AI recommended 7 alternatives but never named nat/openplayground. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I compare different LLMs side-by-side and tune their parameters easily?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases
    2. MLflow
    3. Hugging Face Transformers with 🤗 Evaluate
    4. LangChain with LangSmith
    5. Optuna
    6. Ray Tune

    AI recommended 6 alternatives but never named nat/openplayground. 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 nat/openplayground?
    pass
    AI did not name nat/openplayground — 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 nat/openplayground in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nat/openplayground 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 nat/openplayground solve, and who is the primary audience?
    pass
    AI named nat/openplayground 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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nat/openplayground — 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