RRepoGEO

REPOGEO REPORT · LITE

google-gemini/nano-banana-hackathon-kit

Default branch main · commit a6541f8c · scanned 5/18/2026, 12:03:16 PM

GitHub: 1,024 stars · 176 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 google-gemini/nano-banana-hackathon-kit, 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 relevant topics for discoverability

    Why:

    COPY-PASTE FIX
    hackathon, gemini-api, image-generation, ai-challenge, starter-kit, google-deepmind
  • highreadme#2
    Clarify the README's opening to emphasize 'image generation hackathon kit' and differentiate from 'Gemini Nano'

    Why:

    CURRENT
    Welcome, hackers! This repository is the official starter kit and resource hub for the **Nano Banana 48 Hour Challenge**, hosted by **Google DeepMind**. Everything you need to get started, build something incredible, and submit your project is right here. **Go Bananas!** For 48 hours, starting on September 6, 2025, we are unlocking a special 48-hour free tier of the Gemini API, putting Gemini 2.5 Flash Image Preview (aka Nano Banana), our state-of-the-art image model, into your hands.
    COPY-PASTE FIX
    Welcome, hackers! This repository is the official starter kit and resource hub for the **Nano Banana 48 Hour Challenge**, hosted by **Google DeepMind**. It provides everything you need to quickly build incredible projects using **Gemini 2.5 Flash Image Preview (aka Nano Banana)**, our state-of-the-art image generation model. This kit is specifically designed for the hackathon, focusing on dynamic image creation and editing with natural language prompts, and is distinct from Gemini Nano for on-device AI. Get started fast and submit your project!
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    [Insert official hackathon landing page URL here, e.g., https://events.google.com/nanobanana-hackathon]

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 google-gemini/nano-banana-hackathon-kit
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Gradio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Gradio · recommended 1×
  2. Streamlit · recommended 1×
  3. Hugging Face Spaces · recommended 1×
  4. OpenCV · recommended 1×
  5. PyTorch · recommended 1×
  • CATEGORY QUERY
    Looking for a quick start kit to build AI-powered visual applications for a challenge.
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. Hugging Face Spaces
    4. OpenCV
    5. PyTorch
    6. TensorFlow
    7. torchvision
    8. tf.keras.applications
    9. Roboflow

    AI recommended 9 alternatives but never named google-gemini/nano-banana-hackathon-kit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking tools for dynamic image creation and editing using natural language prompts.
    you: not recommended
    AI recommended (in order):
    1. Midjourney
    2. DALL-E 3
    3. ChatGPT Plus/Enterprise
    4. Microsoft Copilot Pro
    5. Stable Diffusion
    6. Automatic1111 web UI
    7. ComfyUI
    8. DreamStudio
    9. Adobe Firefly
    10. Photoshop
    11. Illustrator
    12. Canva's Magic Media (Text to Image)

    AI recommended 12 alternatives but never named google-gemini/nano-banana-hackathon-kit. 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 google-gemini/nano-banana-hackathon-kit?
    pass
    AI did not name google-gemini/nano-banana-hackathon-kit — 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 google-gemini/nano-banana-hackathon-kit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named google-gemini/nano-banana-hackathon-kit 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 google-gemini/nano-banana-hackathon-kit solve, and who is the primary audience?
    pass
    AI named google-gemini/nano-banana-hackathon-kit explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
google-gemini/nano-banana-hackathon-kit — RepoGEO report