RRepoGEO

REPOGEO REPORT · LITE

rlaope/estudy

Default branch master · commit 130d91b4 · scanned 6/11/2026, 12:53:10 AM

GitHub: 574 stars · 28 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 rlaope/estudy, 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
    Clarify the README's opening to position the repo as a knowledge resource, not a tool

    Why:

    CURRENT
    해당 estudy 저장소는 내가 소프트웨어라는 학문을 연구하고 공부하면서 작성했던 기록들의 집합이다.  
    단순 이론 기록 부터 딥다이브와 리서치, 개인적인 생각과 호소, 내가 중요하게 생각하는 가치와 경험들이 담겨있기도 하다.  
    요즘 개발자의 추월차선이라는 개념을 스스로 구상하고 있는데, 기록(記錄)이 규모와 진입의 계명을 타파할 수 있을까 자문중이다.
    COPY-PASTE FIX
    This `estudy` repository is a personal knowledge base and collection of study notes on software engineering principles, best practices, backend systems, and computer science topics. It serves as a comprehensive resource compiling my research, deep dives, personal insights, and valuable experiences as a software developer, *not* a software tool or application.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Choose and add a standard open-source LICENSE file (e.g., MIT, Apache-2.0, GPL-3.0) to the repository root.
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add a URL to a personal blog, website, or a dedicated landing page for these notes in 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 rlaope/estudy
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Clean Code: A Handbook of Agile Software Craftsmanship
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Clean Code: A Handbook of Agile Software Craftsmanship · recommended 1×
  2. The Pragmatic Programmer: Your Journey To Mastery, 20th Anniversary Edition · recommended 1×
  3. Design Patterns: Elements of Reusable Object-Oriented Software · recommended 1×
  4. Code Complete, Second Edition · recommended 1×
  5. Martin Fowler's website · recommended 1×
  • CATEGORY QUERY
    Where can I find resources for understanding core software engineering principles and best practices?
    you: not recommended
    AI recommended (in order):
    1. Clean Code: A Handbook of Agile Software Craftsmanship
    2. The Pragmatic Programmer: Your Journey To Mastery, 20th Anniversary Edition
    3. Design Patterns: Elements of Reusable Object-Oriented Software
    4. Code Complete, Second Edition
    5. Martin Fowler's website
    6. Pluralsight
    7. Coursera
    8. edX

    AI recommended 8 alternatives but never named rlaope/estudy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective design patterns and architectural approaches for building robust backend systems?
    you: not recommended
    AI recommended (in order):
    1. Netflix Zuul
    2. Spring Cloud Gateway
    3. Kong API Gateway
    4. Eureka
    5. Consul
    6. etcd
    7. Netflix Hystrix
    8. Resilience4j
    9. Apache Kafka
    10. RabbitMQ
    11. Amazon SQS/SNS
    12. Google Cloud Pub/Sub
    13. EventStoreDB
    14. Spring Framework
    15. ASP.NET Core DI
    16. NestJS
    17. PostgreSQL
    18. MongoDB
    19. Redis
    20. Elasticsearch
    21. Cassandra
    22. Memcached
    23. Ehcache
    24. Log4j2
    25. SLF4J
    26. Winston
    27. Serilog
    28. Prometheus
    29. Grafana
    30. Datadog
    31. New Relic
    32. OpenTelemetry
    33. Jaeger
    34. Zipkin

    AI recommended 34 alternatives but never named rlaope/estudy. 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 rlaope/estudy?
    pass
    AI named rlaope/estudy explicitly

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

  • If a team adopts rlaope/estudy in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rlaope/estudy 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 rlaope/estudy solve, and who is the primary audience?
    pass
    AI named rlaope/estudy 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 rlaope/estudy. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/rlaope/estudy.svg)](https://repogeo.com/en/r/rlaope/estudy)
HTML
<a href="https://repogeo.com/en/r/rlaope/estudy"><img src="https://repogeo.com/badge/rlaope/estudy.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

rlaope/estudy — 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