RRepoGEO

REPOGEO REPORT · LITE

google-gemini/nano-banana-hackathon-kit

Default branch main · commit a6541f8c · scanned 6/29/2026, 6:08:00 PM

GitHub: 1,026 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 specific topics for hackathon, Gemini, and AI starter kit

    Why:

    COPY-PASTE FIX
    hackathon, gemini, google-gemini, nano-banana, ai-starter-kit, generative-ai, image-generation, multimodal-ai, google-deepmind
  • highreadme#2
    Strengthen the README's opening to emphasize its unique hackathon-specific nature

    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.
    COPY-PASTE FIX
    Welcome, hackers! This is the **official starter kit** for the **Nano Banana 48 Hour Challenge**, hosted by **Google DeepMind**. It's specifically designed to help you rapidly build and submit incredible projects using the **Gemini 2.5 Flash Image Preview (Nano Banana) API** within the 48-hour timeframe.
  • mediumhomepage#3
    Add the official hackathon homepage URL

    Why:

    COPY-PASTE FIX
    [Add the official Nano Banana Hackathon website URL here]

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
langchain-ai/langchain-templates
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain-templates · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. streamlit/streamlit · recommended 1×
  5. gradio-app/gradio · recommended 1×
  • CATEGORY QUERY
    What are good boilerplate projects for quickly building generative AI applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain Templates (langchain-ai/langchain-templates)
    2. LlamaIndex Starters (run-llama/llama_index)
    3. Hugging Face `transformers` Examples (huggingface/transformers)
    4. Streamlit Generative AI Examples (streamlit/streamlit)
    5. Gradio Demos (gradio-app/gradio)
    6. OpenAI Cookbook (openai/openai-cookbook)
    7. Awesome-LLM-Apps (girafe-ai/awesome-llm-apps)

    AI recommended 7 alternatives but never named google-gemini/nano-banana-hackathon-kit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to quickly prototype applications that transform images using natural language?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. Hugging Face Transformers Library
    4. RunwayML
    5. Replicate
    6. Google Colaboratory

    AI recommended 6 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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google-gemini/nano-banana-hackathon-kit — 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