RRepoGEO

REPOGEO REPORT · LITE

ArhanChaudhary/NAND

Default branch main · commit b777f62d · scanned 6/9/2026, 1:53:51 AM

GitHub: 594 stars · 16 forks

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 ArhanChaudhary/NAND, 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
    Add a clarifying sentence to the README's opening paragraph

    Why:

    COPY-PASTE FIX
    It serves as an interactive, web-based educational platform for building a complete computer system from first principles, inspired by the Nand to Tetris curriculum.
  • hightopics#2
    Add domain-specific topics to improve categorization

    Why:

    CURRENT
    javascript, nand2tetris, rust, scss, svelte, typescript, vite, wasm-bindgen
    COPY-PASTE FIX
    javascript, nand2tetris, rust, scss, svelte, typescript, vite, wasm-bindgen, logic-simulator, computer-architecture, cpu-design, education, web-based, interactive-learning
  • mediumabout#3
    Update the repository description for better clarity

    Why:

    CURRENT
    NAND is a logic simulator suite made entirely from NAND gates
    COPY-PASTE FIX
    NAND is a web-based logic simulator suite for building a complete 16-bit computer system from NAND gates, inspired by the Nand to Tetris course.

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 ArhanChaudhary/NAND
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
facebook/react
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. facebook/react · recommended 1×
  2. konvajs/konva · recommended 1×
  3. pixijs/pixijs · recommended 1×
  4. vuejs/core · recommended 1×
  5. svgdotjs/svg.js · recommended 1×
  • CATEGORY QUERY
    How can I simulate a complete computer system from basic logic gates in a browser?
    you: not recommended
    AI recommended (in order):
    1. React (facebook/react)
    2. Konva.js (konvajs/konva)
    3. PixiJS (pixijs/pixijs)
    4. Vue.js (vuejs/core)
    5. SVG.js (svgdotjs/svg.js)
    6. Paper.js (paperjs/paper.js)
    7. Svelte (sveltejs/svelte)
    8. D3.js (d3/d3)
    9. Three.js (mrdoob/three.js)
    10. Blockly (google/blockly)

    AI recommended 10 alternatives but never named ArhanChaudhary/NAND. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What online platform allows building a 16-bit CPU with custom assembly and high-level languages?
    you: not recommended
    AI recommended (in order):
    1. Logisim-evolution (logisim-evolution/logisim-evolution)
    2. Digital (hneemann/Digital)
    3. CircuitVerse (CircuitVerse/CircuitVerse)
    4. Tinkercad Circuits
    5. EDA Playground

    AI recommended 5 alternatives but never named ArhanChaudhary/NAND. 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 ArhanChaudhary/NAND?
    pass
    AI named ArhanChaudhary/NAND explicitly

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

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