RRepoGEO

REPOGEO REPORT · LITE

xjdr-alt/entropix

Default branch main · commit 0a7f7bb2 · scanned 6/26/2026, 4:47:27 PM

GitHub: 3,433 stars · 320 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 xjdr-alt/entropix, 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 clarify the project's domain

    Why:

    COPY-PASTE FIX
    llm, large-language-models, inference, sampling, chain-of-thought, cot, decoding, generative-ai, machine-learning
  • mediumreadme#2
    Clarify the README's opening paragraph to explicitly state the LLM focus

    Why:

    CURRENT
    The goal is to use entropy to make context aware sampling. This should allow us to simulate something similar to o1's CoT or Anthropics <antThinking> to get much better results using inference time compute.
    COPY-PASTE FIX
    The goal of entropix is to use entropy to make context-aware sampling for Large Language Models (LLMs). This approach aims to simulate advanced reasoning techniques like Chain-of-Thought (CoT) or Anthropics' <antThinking> to achieve significantly better results during LLM inference.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://your-project-homepage.com (or a relevant project page/blog post)

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 xjdr-alt/entropix
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
outlines-dev/outlines
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. outlines-dev/outlines · recommended 1×
  2. eth-sri/lmql · recommended 1×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Guidance · recommended 1×
  • CATEGORY QUERY
    How can I improve large language model inference quality using advanced sampling methods?
    you: not recommended
    AI recommended (in order):
    1. Outlines (outlines-dev/outlines)
    2. LMQL (eth-sri/lmql)

    AI recommended 2 alternatives but never named xjdr-alt/entropix. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help implement parallel chain of thought decoding for better LLM reasoning?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Guidance
    4. OpenAI Function Calling / Tool Use
    5. Ray
    6. Hugging Face Accelerate

    AI recommended 6 alternatives but never named xjdr-alt/entropix. 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 xjdr-alt/entropix?
    pass
    AI named xjdr-alt/entropix explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of xjdr-alt/entropix. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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xjdr-alt/entropix — 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