RRepoGEO

REPOGEO REPORT · LITE

NUS-HPC-AI-Lab/VideoSys

Default branch master · commit 4cce4778 · scanned 5/11/2026, 1:22:51 PM

GitHub: 2,023 stars · 131 forks

AI VISIBILITY SCORE
22 /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
1 / 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 NUS-HPC-AI-Lab/VideoSys, 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
  • highreadme#1
    Refine the main README title to specify its focus

    Why:

    CURRENT
    <h3 align="center">
An easy and efficient system for video generation
</h3>
    COPY-PASTE FIX
    <h3 align="center">
VideoSys: An Easy and Efficient System for Accelerating Diffusion-Based Video Generation Research
</h3>
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/VideoSys

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 NUS-HPC-AI-Lab/VideoSys
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RunwayML Gen-2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. RunwayML Gen-2 · recommended 1×
  2. Pika Labs · recommended 1×
  3. HeyGen · recommended 1×
  4. Synthesys Studio · recommended 1×
  5. Pictory · recommended 1×
  • CATEGORY QUERY
    What are the best tools for easily generating high-quality videos from text prompts?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-2
    2. Pika Labs
    3. HeyGen
    4. Synthesys Studio
    5. Pictory
    6. InVideo

    AI recommended 6 alternatives but never named NUS-HPC-AI-Lab/VideoSys. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need an efficient system for real-time video generation with variable sequence training capabilities.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Omniverse
    2. Kaolin
    3. Modulus
    4. DeepMotion (Animate 3D)
    5. Plask
    6. Unreal Engine
    7. NVIDIA DLSS
    8. Streamline
    9. Unity
    10. Barracuda
    11. ML-Agents
    12. RunwayML
    13. OpenAI Jukebox
    14. DALL-E 2
    15. Google Imagen Video
    16. Stable Diffusion Video
    17. PyTorch
    18. TensorFlow

    AI recommended 18 alternatives but never named NUS-HPC-AI-Lab/VideoSys. 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 NUS-HPC-AI-Lab/VideoSys?
    pass
    AI did not name NUS-HPC-AI-Lab/VideoSys — 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 NUS-HPC-AI-Lab/VideoSys in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NUS-HPC-AI-Lab/VideoSys 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 NUS-HPC-AI-Lab/VideoSys solve, and who is the primary audience?
    pass
    AI did not name NUS-HPC-AI-Lab/VideoSys — 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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NUS-HPC-AI-Lab/VideoSys — 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