RRepoGEO

REPOGEO REPORT · LITE

lightningpixel/modly

Default branch main · commit 4cff8389 · scanned 6/22/2026, 1:21:57 AM

GitHub: 4,046 stars · 434 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 lightningpixel/modly, 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 the README H1 and tagline to clarify project identity

    Why:

    CURRENT
    # Modly
**Local, open source, AI-powered image-to-3D mesh generation.**
    COPY-PASTE FIX
    # Modly: AI-Powered Image-to-3D Desktop App
**Generate 3D models from images using local AI, running entirely on your GPU.**
  • highabout#2
    Update GitHub 'About' description to emphasize end-user application

    Why:

    CURRENT
    Desktop app to generate 3D models from images using local AI — runs entirely on your GPU
    COPY-PASTE FIX
    Modly is a desktop application for creators to generate 3D models from images using local AI, running entirely on your GPU.
  • mediumlicense#3
    Clarify the project's license(s) directly in the README

    Why:

    COPY-PASTE FIX
    This project is released under [insert specific license name(s) here, e.g., 'the Apache 2.0 License and the MIT License']. Refer to the LICENSE file for full terms.

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 lightningpixel/modly
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
COLMAP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. COLMAP · recommended 2×
  2. MVS-Texturing · recommended 2×
  3. Meshroom · recommended 2×
  4. Instant-NGP · recommended 1×
  5. OpenMVS · recommended 1×
  • CATEGORY QUERY
    How can I generate 3D models from images using a local AI application?
    you: not recommended
    AI recommended (in order):
    1. Instant-NGP
    2. COLMAP
    3. MVS-Texturing
    4. OpenMVS
    5. Meshroom
    6. AliceVision
    7. Neuralangelo
    8. DreamFusion
    9. Magic3D

    AI recommended 9 alternatives but never named lightningpixel/modly. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source desktop tools convert photos to 3D meshes using GPU acceleration?
    you: not recommended
    AI recommended (in order):
    1. Meshroom
    2. COLMAP
    3. OpenMVG
    4. MVS-Texturing
    5. 3DF Zephyr Free
    6. Regard3D

    AI recommended 6 alternatives but never named lightningpixel/modly. 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 lightningpixel/modly?
    pass
    AI named lightningpixel/modly explicitly

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

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

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

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lightningpixel/modly — 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