RRepoGEO

REPOGEO REPORT · LITE

VainF/Awesome-Anything

Default branch main · commit bb2b4434 · scanned 6/27/2026, 7:28:16 PM

GitHub: 1,848 stars · 102 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
28 /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
2 / 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 VainF/Awesome-Anything, 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
    Remove confusing 'awesome' links from README intro

    Why:

    CURRENT
    # Awesome-Anything
[](https://github.com/sindresorhus/awesome)
[](https://github.com/topics/awesome)

A curated list of **general AI methods for Anything**: AnyObject, AnyGeneration, AnyModel, AnyTask, etc.
    COPY-PASTE FIX
    # Awesome-Anything

A curated list of **general AI methods for Anything**: AnyObject, AnyGeneration, AnyModel, AnyTask, etc.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that best suits the project.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL to the 'Homepage' field in the repository's About section, such as a project website, demo, or a more detailed overview page if one exists.

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 VainF/Awesome-Anything
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
awesome-machine-learning
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. awesome-machine-learning · recommended 1×
  2. awesome-deep-learning · recommended 1×
  3. awesome-ai · recommended 1×
  4. Papers With Code · recommended 1×
  5. Google AI Blog · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of general AI methods for diverse applications?
    you: not recommended
    AI recommended (in order):
    1. awesome-machine-learning
    2. awesome-deep-learning
    3. awesome-ai
    4. Papers With Code
    5. Google AI Blog
    6. DeepMind Blog
    7. OpenAI Blog
    8. Towards Data Science

    AI recommended 8 alternatives but never named VainF/Awesome-Anything. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking adaptable AI solutions capable of performing various tasks like image analysis and content creation.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud AI Platform
    3. Hugging Face Transformers Library
    4. Microsoft Azure AI Services
    5. RunwayML
    6. Stability AI

    AI recommended 6 alternatives but never named VainF/Awesome-Anything. 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 VainF/Awesome-Anything?
    pass
    AI named VainF/Awesome-Anything explicitly

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

  • If a team adopts VainF/Awesome-Anything in production, what risks or prerequisites should they evaluate first?
    pass
    AI named VainF/Awesome-Anything 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 VainF/Awesome-Anything solve, and who is the primary audience?
    pass
    AI did not name VainF/Awesome-Anything — likely talking about a different project

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

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MARKDOWN (README)
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Pro

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VainF/Awesome-Anything — 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