RRepoGEO

REPOGEO REPORT · LITE

rxin/db-readings

Default branch master · commit 9946aae3 · scanned 5/28/2026, 2:03:25 PM

GitHub: 8,095 stars · 925 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 rxin/db-readings, 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 README's H1 and opening sentence to emphasize 'research papers'

    Why:

    CURRENT
    # Readings in Databases

A list of papers essential to understanding databases and building new data systems.
    COPY-PASTE FIX
    # Curated List of Essential Database Research Papers

This repository provides a highly curated list of seminal research papers essential to understanding databases and building new data systems.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    databases, database-systems, distributed-systems, data-systems, research-papers, academic-papers, computer-science, curated-list, system-design, data-engineering
  • mediumlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root.

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 rxin/db-readings
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Designing Data-Intensive Applications
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Designing Data-Intensive Applications · recommended 1×
  2. Database System Concepts · recommended 1×
  3. Readings in Database Systems · recommended 1×
  4. Transaction Processing: Concepts and Techniques · recommended 1×
  5. Distributed Systems: Concepts and Design · recommended 1×
  • CATEGORY QUERY
    Where can I find essential readings to understand database internals and system design principles?
    you: not recommended
    AI recommended (in order):
    1. Designing Data-Intensive Applications
    2. Database System Concepts
    3. Readings in Database Systems
    4. Transaction Processing: Concepts and Techniques
    5. Distributed Systems: Concepts and Design
    6. Foundations of Databases
    7. Database Internals: A B-Tree Index

    AI recommended 7 alternatives but never named rxin/db-readings. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the seminal research papers for understanding and building new data systems?
    you: not recommended
    AI recommended (in order):
    1. GFS
    2. MapReduce
    3. Dynamo
    4. Bigtable
    5. Apache Kafka (apache/kafka)
    6. Google Spanner

    AI recommended 6 alternatives but never named rxin/db-readings. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 rxin/db-readings?
    pass
    AI named rxin/db-readings explicitly

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

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

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

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rxin/db-readings — 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