RRepoGEO

REPOGEO REPORT · LITE

osanseviero/ml_timeline

Default branch main · commit 4931afdb · scanned 5/31/2026, 9:03:00 PM

GitHub: 587 stars · 34 forks

AI VISIBILITY SCORE
23 /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
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 osanseviero/ml_timeline, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A curated timeline of significant advancements, models, and research in Machine Learning, focusing on recent open-source releases and tools.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, using the MIT License template, to clearly state the terms of use.

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 osanseviero/ml_timeline
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 2×
  2. arXiv.org · recommended 1×
  3. Distill.pub · recommended 1×
  4. Google AI Blog · recommended 1×
  5. Meta AI Blog · recommended 1×
  • CATEGORY QUERY
    How to stay informed about the latest advancements in machine learning models and research?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Papers With Code
    3. Distill.pub
    4. Google AI Blog
    5. Meta AI Blog
    6. Microsoft Research Blog
    7. OpenAI Blog
    8. Twitter
    9. The Batch
    10. Two Minute Papers

    AI recommended 10 alternatives but never named osanseviero/ml_timeline. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a timeline of recent open-source large language model releases and tools?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Blog & Spaces
    2. GitHub Trending Repositories
    3. Papers With Code
    4. The Batch by DeepLearning.AI
    5. Towards Data Science
    6. Last Week in AI
    7. The Neuron
    8. Reddit
    9. Twitter/X
    10. EleutherAI
    11. Meta AI

    AI recommended 11 alternatives but never named osanseviero/ml_timeline. 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 osanseviero/ml_timeline?
    pass
    AI did not name osanseviero/ml_timeline — 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?

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

    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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osanseviero/ml_timeline — 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