RRepoGEO

REPOGEO REPORT · LITE

xiaoiver/infinite-canvas-tutorial

Default branch master · commit 77912b4f · scanned 5/22/2026, 1:07:45 PM

GitHub: 1,010 stars · 65 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
33 /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
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 xiaoiver/infinite-canvas-tutorial, 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 to specify the tutorial's focus on building web graphics

    Why:

    CURRENT
    # An Infinite Canvas Tutorial
    COPY-PASTE FIX
    # An Infinite Canvas Tutorial: Build Your Own Scalable 2D Web Graphics Engine
  • mediumtopics#2
    Add topics to clarify the tutorial's focus on building web-based 2D graphics and remove ambiguous ones

    Why:

    CURRENT
    chatcanvas, ecs, frontend, infinite-canvas, rendering-2d-graphics, rendering-engine, tutorial, visualization, webgl, webgpu
    COPY-PASTE FIX
    chatcanvas, ecs, frontend, infinite-canvas, rendering-2d-graphics, tutorial, visualization, webgl, webgpu, web-development, graphics-programming, how-to-build, implementation-guide
  • lowreadme#3
    Add an explicit 'Who is this for?' section to the README

    Why:

    COPY-PASTE FIX
    ## Who is this tutorial for?
    This tutorial is primarily for front-end developers and students interested in learning the underlying rendering technologies and implementation details for building highly scalable and interactive infinite canvas web applications.

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 xiaoiver/infinite-canvas-tutorial
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pixijs/pixijs
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. pixijs/pixijs · recommended 1×
  2. konvajs/konva · recommended 1×
  3. fabricjs/fabric.js · recommended 1×
  4. xyflow/react-flow · recommended 1×
  5. excalidraw/excalidraw · recommended 1×
  • CATEGORY QUERY
    How can I build a highly scalable and interactive infinite canvas for web applications?
    you: not recommended
    AI recommended (in order):
    1. PixiJS (pixijs/pixijs)
    2. Konva.js (konvajs/konva)
    3. Fabric.js (fabricjs/fabric.js)
    4. React Flow (xyflow/react-flow)
    5. Excalidraw (excalidraw/excalidraw)
    6. Three.js (mrdoob/three.js)
    7. OpenLayers (openlayers/openlayers)
    8. Leaflet (Leaflet/Leaflet)

    AI recommended 8 alternatives but never named xiaoiver/infinite-canvas-tutorial. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tutorial or framework for creating a custom 2D graphics rendering engine.
    you: not recommended
    AI recommended (in order):
    1. SDL2
    2. SFML
    3. OpenGL
    4. Vulkan
    5. Raylib
    6. MonoGame
    7. FNA

    AI recommended 7 alternatives but never named xiaoiver/infinite-canvas-tutorial. 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 xiaoiver/infinite-canvas-tutorial?
    pass
    AI named xiaoiver/infinite-canvas-tutorial explicitly

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

  • If a team adopts xiaoiver/infinite-canvas-tutorial in production, what risks or prerequisites should they evaluate first?
    pass
    AI named xiaoiver/infinite-canvas-tutorial 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 xiaoiver/infinite-canvas-tutorial solve, and who is the primary audience?
    pass
    AI did not name xiaoiver/infinite-canvas-tutorial — 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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xiaoiver/infinite-canvas-tutorial — 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