RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/3FS

Default branch main · commit 22fca045 · scanned 5/26/2026, 2:32:43 PM

GitHub: 9,927 stars · 1,053 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 deepseek-ai/3FS, 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
  • highreadme#1
    Reposition README opening to emphasize AI/LLM specialization

    Why:

    CURRENT
    The Fire-Flyer File System (3FS) is a high-performance distributed file system designed to address the challenges of AI training and inference workloads.
    COPY-PASTE FIX
    The Fire-Flyer File System (3FS) is a high-performance distributed file system **specifically engineered for large-scale AI training and inference workloads, particularly for LLMs.** It addresses the unique I/O bottlenecks and scale requirements of modern AI, leveraging modern SSDs and RDMA networks to provide a shared storage layer that simplifies development of distributed applications.
  • hightopics#2
    Expand topics to include AI-specific keywords

    Why:

    CURRENT
    distributed-file-system
    COPY-PASTE FIX
    distributed-file-system, ai-storage, llm-training, high-performance-computing, rdma, data-loading
  • mediumhomepage#3
    Add a homepage URL to About section

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL (e.g., `https://deepseek-ai.com/3fs` or similar project page) to the repository's 'About' section.

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 deepseek-ai/3FS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BeeGFS
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. BeeGFS · recommended 1×
  2. Lustre · recommended 1×
  3. WEKA (WekaIO) · recommended 1×
  4. IBM Spectrum Scale (GPFS) · recommended 1×
  5. CephFS · recommended 1×
  • CATEGORY QUERY
    What distributed file system provides high performance for large-scale AI training workloads?
    you: not recommended
    AI recommended (in order):
    1. BeeGFS
    2. Lustre
    3. WEKA (WekaIO)
    4. IBM Spectrum Scale (GPFS)
    5. CephFS

    AI recommended 5 alternatives but never named deepseek-ai/3FS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a shared storage solution for distributed applications leveraging modern SSDs and RDMA networks.
    you: not recommended
    AI recommended (in order):
    1. Ceph (ceph/ceph)
    2. Lightbits Labs LightOS
    3. Vast Data Universal Storage
    4. WekaIO WekaFS
    5. Excelero NVMesh
    6. DDN EXAScaler

    AI recommended 6 alternatives but never named deepseek-ai/3FS. 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 deepseek-ai/3FS?
    pass
    AI named deepseek-ai/3FS explicitly

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

  • If a team adopts deepseek-ai/3FS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepseek-ai/3FS 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 deepseek-ai/3FS solve, and who is the primary audience?
    pass
    AI named deepseek-ai/3FS explicitly

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

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deepseek-ai/3FS — 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