RRepoGEO

REPOGEO REPORT · LITE

nubenetes/awesome-kubernetes

Default branch master · commit 37209a8d · scanned 6/3/2026, 11:41:45 PM

GitHub: 660 stars · 134 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 nubenetes/awesome-kubernetes, 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 the README's 'AI-driven' description to clarify it's a curation method for an archive.

    Why:

    CURRENT
    Nubenetes is a high-density, curated archive of the Kubernetes, Cloud Native, and Agentic AI ecosystem. Since its inception in 2018, it has evolved from a personal collection of references into an autonomous, AI-driven knowledge engine that processes thousands of technical resources to provide a definitive 'Source of Truth' for engineers worldwide.
    COPY-PASTE FIX
    Nubenetes is a high-density, curated archive of the Kubernetes, Cloud Native, and Agentic AI ecosystem. Since its inception in 2018, it has evolved from a personal collection of references into an autonomous, AI-driven knowledge engine that *powers its curation process*, processing thousands of technical resources to provide a definitive 'Source of Truth' for engineers worldwide. *It is a reference archive, not a deployable software product.*
  • mediumabout#2
    Refine the repository description to highlight AI-powered curation.

    Why:

    CURRENT
    A curated list of awesome references collected since 2018.
    COPY-PASTE FIX
    An AI-powered, curated archive of awesome Kubernetes, Cloud Native, and Agentic AI references, continuously updated since 2018.
  • lowreadme#3
    Add a 'Comparison to other Awesome Lists' section in the README.

    Why:

    COPY-PASTE FIX
    ## Comparison to other Awesome Lists

Nubenetes originated as a fork of `ramitsurana/awesome-kubernetes` in 2018. Since then, it has evolved with independent, AI-driven curation and a focus on high-density, continuously updated references across Kubernetes, Cloud Native, and Agentic AI ecosystems, distinguishing it from other static or less frequently updated lists.

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 nubenetes/awesome-kubernetes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cloud Native Computing Foundation (CNCF) Landscape
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cloud Native Computing Foundation (CNCF) Landscape · recommended 1×
  2. Awesome Kubernetes · recommended 1×
  3. KubeWeekly Newsletter · recommended 1×
  4. Learnk8s.io · recommended 1×
  5. CNCF Blog · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive curated list of cloud-native and Kubernetes resources?
    you: not recommended
    AI recommended (in order):
    1. Cloud Native Computing Foundation (CNCF) Landscape
    2. Awesome Kubernetes
    3. KubeWeekly Newsletter
    4. Learnk8s.io
    5. CNCF Blog
    6. CNCF YouTube Channel

    AI recommended 6 alternatives but never named nubenetes/awesome-kubernetes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI-powered knowledge base covering modern cloud architecture and DevOps practices.
    you: not recommended
    AI recommended (in order):
    1. Glean
    2. Coveo
    3. Guru
    4. Zendesk Guide
    5. Confluence
    6. K15t Scroll Viewport AI
    7. Refined AI
    8. Elasticsearch (elastic/elasticsearch)

    AI recommended 8 alternatives but never named nubenetes/awesome-kubernetes. 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 nubenetes/awesome-kubernetes?
    pass
    AI named nubenetes/awesome-kubernetes explicitly

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

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

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

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