REPOGEO REPORT · LITE

brevdev/launchables

Default branch main · commit 4a0ba27b · scanned 5/12/2026, 3:28:31 PM

GitHub: 1,820 stars · 314 forks

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 brevdev/launchables, 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

2 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 content category
Why:
CURRENT
```
# Brev Launchables
```
COPY-PASTE FIX
```
# Brev Launchables: AI/ML Notebooks & Pre-configured Environments
```
mediumhomepage#2
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://brev.nvidia.com
```

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 brevdev/launchables

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Colaboratory (Colab)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Google Colaboratory (Colab) · recommended 1×
Kaggle Notebooks · recommended 1×
AWS SageMaker Studio Lab · recommended 1×
Paperspace Gradient · recommended 1×
Google Cloud Vertex AI Workbench · recommended 1×

CATEGORY QUERY
Where can I find pre-configured AI/ML development environments for deep learning projects?
you: not recommended
AI recommended (in order):
1. Google Colaboratory (Colab)
2. Kaggle Notebooks
3. AWS SageMaker Studio Lab
4. Paperspace Gradient
5. Google Cloud Vertex AI Workbench
6. Azure Machine Learning Compute Instances
7. NVIDIA NGC (NVIDIA GPU Cloud)
AI recommended 7 alternatives but never named brevdev/launchables. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are good example notebooks for LLM fine-tuning and multi-modal AI tasks?
you: not recommended
AI recommended (in order):
1. Hugging Face Transformers (huggingface/transformers)
2. PyTorch (pytorch/examples)
3. PyTorch Lightning Bolts (Lightning-AI/lightning-bolts)
4. Keras
5. Google Colab
6. Fast.ai (fastai/fastbook)
7. DeepLearning.AI
AI recommended 7 alternatives but never named brevdev/launchables. 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 brevdev/launchables?
pass
AI did not name brevdev/launchables — 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 brevdev/launchables in production, what risks or prerequisites should they evaluate first?
pass
AI named brevdev/launchables 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 brevdev/launchables solve, and who is the primary audience?
pass
AI named brevdev/launchables explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/brevdev/launchables.svg)](https://repogeo.com/en/r/brevdev/launchables)

HTML

<a href="https://repogeo.com/en/r/brevdev/launchables"><img src="https://repogeo.com/badge/brevdev/launchables.svg" alt="RepoGEO" /></a>

Pro

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brevdev/launchables — 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