RRepoGEO

REPOGEO REPORT · LITE

dabochen/spreadsheet-is-all-you-need

Default branch main · commit 8f411b99 · scanned 6/22/2026, 12:18:41 PM

GitHub: 2,159 stars · 128 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
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 dabochen/spreadsheet-is-all-you-need, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, gpt, nanogpt, transformer, spreadsheet, excel, google-sheets, machine-learning-explanation, deep-learning-visualization, educational-tool
  • highreadme#2
    Reposition README's core purpose statement for clarity

    Why:

    CURRENT
    This is a project that I did to help myself understand how GPT works.<br>It is pretty fun to play with, especially when you are trying to figure out what exactly is going on inside a transformer.<br>This helped me to visualize the entire structure and the data flow.<br>All the mechanisms, calculations, matrices inside are fully interactive and configurable.<br>
    COPY-PASTE FIX
    This project offers a fully interactive, spreadsheet-based visualization and explanation of the nanoGPT transformer architecture, designed to help you understand its internal mechanisms, calculations, and data flow. It's a fun, no-code way to explore how GPT works, with all matrices and components configurable.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/dabochen/spreadsheet-is-all-you-need

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 dabochen/spreadsheet-is-all-you-need
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tensorboard
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tensorboard · recommended 1×
  2. lutzroeder/Netron · recommended 1×
  3. Lobe · recommended 1×
  4. excalidraw/excalidraw · recommended 1×
  5. jgraph/drawio · recommended 1×
  • CATEGORY QUERY
    How to visualize transformer model architecture and data flow interactively for better understanding?
    you: not recommended
    AI recommended (in order):
    1. TensorBoard (tensorflow/tensorboard)
    2. Netron (lutzroeder/Netron)
    3. Lobe
    4. Excalidraw (excalidraw/excalidraw)
    5. draw.io (jgraph/drawio)
    6. Lucidchart
    7. PyTorchViz (szagoruyko/pytorchviz)
    8. Captum (pytorch/captum)

    AI recommended 8 alternatives but never named dabochen/spreadsheet-is-all-you-need. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for explaining neural network calculations using a spreadsheet instead of code?
    you: not recommended
    AI recommended (in order):
    1. Neural Network in Excel
    2. TensorFlow Playground
    3. Neural Network Console
    4. Neuroph Studio
    5. Google Sheets with Apps Script

    AI recommended 5 alternatives but never named dabochen/spreadsheet-is-all-you-need. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 dabochen/spreadsheet-is-all-you-need?
    pass
    AI named dabochen/spreadsheet-is-all-you-need explicitly

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

  • If a team adopts dabochen/spreadsheet-is-all-you-need in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dabochen/spreadsheet-is-all-you-need 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 dabochen/spreadsheet-is-all-you-need solve, and who is the primary audience?
    pass
    AI did not name dabochen/spreadsheet-is-all-you-need — 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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dabochen/spreadsheet-is-all-you-need — 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