RRepoGEO

REPOGEO REPORT · LITE

antirez/ds4

Default branch main · commit 80ebbc39 · scanned 6/22/2026, 1:13:46 AM

GitHub: 14,894 stars · 1,301 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)

2 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 antirez/ds4, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, inference, deepseek, metal, cuda, rocm, ai-agent, local-inference, generative-ai, machine-learning
  • highreadme#2
    Explicitly link repo name 'ds4' to project 'DwarfStar' in README opening

    Why:

    CURRENT
    **DwarfStar** is a small native inference engine optimized first for DeepSeek V4 Flash, with support for **DeepSeek V4 PRO** on very high-memory machines.
    COPY-PASTE FIX
    The antirez/ds4 repository hosts **DwarfStar**, a small native inference engine optimized first for DeepSeek V4 Flash, with support for **DeepSeek V4 PRO** on very high-memory machines.
  • mediumhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    [URL to project page or documentation]

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 antirez/ds4
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ggerganov/llama.cpp
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ggerganov/llama.cpp · recommended 1×
  2. mlc-ai/mlc-llm · recommended 1×
  3. ollama/ollama · recommended 1×
  4. xenova/transformers.js · recommended 1×
  5. mlc-ai/web-llm · recommended 1×
  • CATEGORY QUERY
    Seeking a fast local inference engine for large language models on Apple Silicon.
    you: not recommended
    AI recommended (in order):
    1. llama.cpp (ggerganov/llama.cpp)
    2. MLC LLM (mlc-ai/mlc-llm)
    3. Ollama (ollama/ollama)
    4. Transformers.js (xenova/transformers.js)
    5. WebLLM (mlc-ai/web-llm)
    6. transformers (huggingface/transformers)
    7. PyTorch (pytorch/pytorch)
    8. MPS
    9. Core ML Tools (apple/coremltools)

    AI recommended 9 alternatives but never named antirez/ds4. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a self-contained local LLM runtime with integrated agent capabilities.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. LangChain
    4. LlamaIndex
    5. LocalAI
    6. Jan
    7. GPT4All

    AI recommended 7 alternatives but never named antirez/ds4. 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 antirez/ds4?
    pass
    AI named antirez/ds4 explicitly

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

  • If a team adopts antirez/ds4 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named antirez/ds4 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 antirez/ds4 solve, and who is the primary audience?
    pass
    AI named antirez/ds4 explicitly

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

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antirez/ds4 — 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