REPOGEO REPORT · LITE

xiaoiver/infinite-canvas-tutorial

Default branch master · commit c8706dbd · scanned 6/21/2026, 1:13:23 PM

GitHub: 1,033 stars · 66 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's opening to clarify its tutorial nature

Why:

CURRENT

# An Infinite Canvas Tutorial

COPY-PASTE FIX

# An Infinite Canvas Tutorial

This tutorial guides front-end developers through the process of building a highly scalable, zoomable infinite canvas from scratch, exploring the underlying rendering technologies like WebGL and WebGPU.

mediumtopics#2

Add more specific topics to emphasize 'building from scratch' and 'internals'

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, rendering-engine, tutorial, visualization, webgl, webgpu, build-from-scratch, graphics-programming, webgl-tutorial, webgpu-tutorial, rendering-internals

lowreadme#3

Explicitly state the tutorial's core differentiator in the README

Why:

COPY-PASTE FIX

Consider adding a sentence like: "Unlike tutorials focusing on using existing libraries, this guide delves into the low-level rendering technologies (WebGL/WebGPU) required to build a performant infinite canvas, offering insights beyond high-level Canvas2D/SVG abstractions." to the introduction or a dedicated 'Why this tutorial?' section.

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

Of all named tools, what % are you?

Top rival

PixiJS

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

PixiJS · recommended 2×
Konva.js · recommended 2×
Three.js · recommended 2×
Fabric.js · recommended 1×
React-Three-Fiber · recommended 1×

CATEGORY QUERY
How to build a highly scalable, zoomable frontend canvas for dynamic content visualization?
you: not recommended
AI recommended (in order):
1. PixiJS
2. Konva.js
3. Fabric.js
4. Three.js
5. React-Three-Fiber
6. D3.js
7. Paper.js
AI recommended 7 alternatives but never named xiaoiver/infinite-canvas-tutorial. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best libraries for rendering performant 2D graphics with WebGL or WebGPU?
you: not recommended
AI recommended (in order):
1. PixiJS
2. Three.js
3. PlayCanvas
4. Phaser
5. Regl
6. LiteGraph.js
7. Konva.js
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 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?
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 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?

Embed your GEO score

Drop this badge into the README of xiaoiver/infinite-canvas-tutorial. 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)

[![RepoGEO](https://repogeo.com/badge/xiaoiver/infinite-canvas-tutorial.svg)](https://repogeo.com/en/r/xiaoiver/infinite-canvas-tutorial)

HTML

<a href="https://repogeo.com/en/r/xiaoiver/infinite-canvas-tutorial"><img src="https://repogeo.com/badge/xiaoiver/infinite-canvas-tutorial.svg" alt="RepoGEO" /></a>

Pro

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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