RRepoGEO

REPOGEO REPORT · LITE

shining-stars-l/javaup

Default branch master · commit dfb148d0 · scanned 6/9/2026, 5:03:09 PM

GitHub: 571 stars · 29 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 shining-stars-l/javaup, 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 core purpose statement to the top of the README

    Why:

    CURRENT
    The README starts with '请给个Star' and then 'JavaUp · 技术进阶与实战', with the detailed explanation under '这是什么？' further down.
    COPY-PASTE FIX
    Insert this text immediately after the initial badges/links in the README: 'JavaUp 是一套精心打造的 Java 全栈技术知识库，累计 100万+字深度技术文章，覆盖 Java 全栈技术体系，包含超级八股文系列和六大实战项目，专为准备面试的求职者和想要系统提升技术能力的开发者设计。'
  • highabout#2
    Emphasize 'interview preparation' in the GitHub description

    Why:

    CURRENT
    🚀 超级八股文 🚀 - 告别死记硬背的 Java 全栈技术知识库！100万+字的讲解，原理剖析 + 丰富代码示例 + 清晰流程图解，让你真正理解每一个技术点！
    COPY-PASTE FIX
    🚀 超级八股文 🚀 - 告别死记硬背的 Java 全栈技术知识库！专为 Java 求职面试与技术进阶设计，提供 100万+字深度讲解、原理剖析、丰富代码示例与清晰流程图解，助你真正理解并掌握每一个技术点！
  • mediumtopics#3
    Add more specific interview-related topics

    Why:

    CURRENT
    ddd, interview, java, jvm, kafka, mybatis, mysql, redis, rocketmq, spring, springboot, springcloud, system, system-design, zookeeper
    COPY-PASTE FIX
    ddd, interview, java, java-interview, jvm, kafka, mybatis, mysql, redis, rocketmq, spring, springboot, springcloud, system, system-design, technical-interview, zookeeper

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 shining-stars-l/javaup
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
apache/kafka
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/kafka · recommended 3×
  2. Educative.io · recommended 1×
  3. spring-cloud/spring-cloud-commons · recommended 1×
  4. spring-projects/spring-boot · recommended 1×
  5. Netflix/eureka · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive Java full-stack interview preparation materials with detailed explanations?
    you: not recommended
    AI recommended (in order):
    1. Educative.io

    AI recommended 1 alternative but never named shining-stars-l/javaup. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I deeply understand advanced Java ecosystem concepts like Spring Cloud and Kafka?
    you: not recommended
    AI recommended (in order):
    1. Spring Cloud (spring-cloud/spring-cloud-commons)
    2. Kafka (apache/kafka)
    3. Spring Boot (spring-projects/spring-boot)
    4. Kafka Streams (apache/kafka)
    5. Kafka Connect (apache/kafka)
    6. Eureka (Netflix/eureka)
    7. Hystrix (Netflix/Hystrix)
    8. Resilience4j (resilience4j/resilience4j)
    9. Zuul (Netflix/zuul)
    10. Spring Cloud Gateway (spring-cloud/spring-cloud-gateway)
    11. Config Server (spring-cloud/spring-cloud-config)
    12. Confluent's Kafka Documentation and Blog
    13. Baeldung.com

    AI recommended 13 alternatives but never named shining-stars-l/javaup. 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 shining-stars-l/javaup?
    pass
    AI named shining-stars-l/javaup explicitly

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

  • If a team adopts shining-stars-l/javaup in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shining-stars-l/javaup 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 shining-stars-l/javaup solve, and who is the primary audience?
    pass
    AI named shining-stars-l/javaup 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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MARKDOWN (README)
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shining-stars-l/javaup — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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