REPOGEO REPORT · LITE

dabochen/spreadsheet-is-all-you-need

Default branch main · commit 8f411b99 · scanned 5/12/2026, 6:07:41 AM

GitHub: 2,158 stars · 126 forks

AI VISIBILITY SCORE

22 /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

1 / 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 for better categorization

Why:

COPY-PASTE FIX

gpt, transformer, nanogpt, spreadsheet, excel, visualization, education, llm, machine-learning

highreadme#2

Emphasize 'GPT in a spreadsheet' in the README's first paragraph

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.

COPY-PASTE FIX

This project provides a unique, fully interactive spreadsheet implementation of Andrej Karpathy's nanoGPT inference pipeline. It's designed for visual thinkers and anyone who wants to deeply understand the internal mechanisms, calculations, and data flow of a transformer model without writing complex code. Explore embedding, layer norm, self-attention, MLP, and softmax directly within an Excel spreadsheet.

mediumhomepage#3
Add a homepage URL to the repository
Why:
COPY-PASTE FIX
```
https://github.com/dabochen/spreadsheet-is-all-you-need#readme
```

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

Of all named tools, what % are you?

Top rival

tensorflow/tensorboard

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

tensorflow/tensorboard · recommended 1×
lutzroeder/netron · recommended 1×
Lobe · recommended 1×
excalidraw/excalidraw · recommended 1×
jgraph/drawio · recommended 1×

CATEGORY QUERY
How can I visualize transformer architecture and data flow without writing complex code?
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. Gradio (gradio-app/gradio)
AI recommended 6 alternatives but never named dabochen/spreadsheet-is-all-you-need. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are interactive tools for learning large language model internal mechanisms?
you: not recommended
AI recommended (in order):
1. TensorFlow Playground
2. The Illustrated Transformer
3. Hugging Face Transformers Library (huggingface/transformers)
4. Jupyter Notebooks (jupyter/notebook)
5. Google Colab
6. BertViz (jessevig/bertviz)
7. LIME (marcotcr/lime)
8. SHAP (shap/shap)
9. OpenAI Playground
10. Google AI Studio
11. Anthropic Console
12. Neuroscope (anthropic/neuroscope)
AI recommended 12 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 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?
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?

Embed your GEO score

Drop this badge into the README of dabochen/spreadsheet-is-all-you-need. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

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HTML

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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