RRepoGEO

REPOGEO REPORT · LITE

Tencent-Hunyuan/HY-World-2.0

Default branch main · commit 9409dd6e · scanned 5/16/2026, 11:52:40 PM

GitHub: 1,909 stars · 149 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 Tencent-Hunyuan/HY-World-2.0, 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
    Reposition README introduction to clarify core purpose

    Why:

    COPY-PASTE FIX
    Add a clear, concise sentence at the beginning of the 'Introduction' section (or immediately after the H1) that explicitly states: "HY-World 2.0 is a cutting-edge multi-modal world model focused on the AI-driven reconstruction, generation, and simulation of 3D environments, distinct from general LLM agent development platforms."
  • mediumtopics#2
    Add more specific topics

    Why:

    CURRENT
    3d, ai, worldmodel
    COPY-PASTE FIX
    3d-generation, 3d-reconstruction, 3d-simulation, world-model, multi-modal-ai, ai-environments, virtual-worlds, generative-ai
  • lowlicense#3
    Clarify license in README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, e.g., "## License\nThis project is licensed under [Specify License Name(s) here, e.g., a custom license, or a combination of licenses like Apache 2.0 and MIT]. Please refer to the LICENSE file for full details."

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 Tencent-Hunyuan/HY-World-2.0
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unreal Engine
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Unreal Engine · recommended 1×
  2. Unity · recommended 1×
  3. NVIDIA Omniverse · recommended 1×
  4. blender/blender · recommended 1×
  5. godotengine/godot · recommended 1×
  • CATEGORY QUERY
    How can I generate realistic 3D environments and simulate physics for virtual worlds?
    you: not recommended
    AI recommended (in order):
    1. Unreal Engine
    2. Unity
    3. NVIDIA Omniverse
    4. Blender (blender/blender)
    5. Godot Engine (godotengine/godot)
    6. Autodesk Maya
    7. 3ds Max

    AI recommended 7 alternatives but never named Tencent-Hunyuan/HY-World-2.0. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help reconstruct complex 3D scenes from multi-modal data for AI applications?
    you: not recommended
    AI recommended (in order):
    1. COLMAP (colmap/colmap)
    2. Open3D (isl-org/Open3D)
    3. RealityCapture
    4. Metashape
    5. PyTorch3D (facebookresearch/pytorch3d)
    6. TensorFlow Graphics (tensorflow/graphics)
    7. Fusion++
    8. ElasticFusion
    9. instant-ngp (NVlabs/instant-ngp)
    10. Nerfstudio (nerfstudio-project/nerfstudio)

    AI recommended 10 alternatives but never named Tencent-Hunyuan/HY-World-2.0. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 Tencent-Hunyuan/HY-World-2.0?
    pass
    AI named Tencent-Hunyuan/HY-World-2.0 explicitly

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

  • If a team adopts Tencent-Hunyuan/HY-World-2.0 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Tencent-Hunyuan/HY-World-2.0 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 Tencent-Hunyuan/HY-World-2.0 solve, and who is the primary audience?
    pass
    AI named Tencent-Hunyuan/HY-World-2.0 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 Tencent-Hunyuan/HY-World-2.0. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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Tencent-Hunyuan/HY-World-2.0 — 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