RRepoGEO

REPOGEO REPORT · LITE

Nutlope/llamacoder

Default branch main · commit 60cb8443 · scanned 6/20/2026, 8:12:40 AM

GitHub: 6,969 stars · 1,647 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
35 /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
3 / 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 Nutlope/llamacoder, 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 to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, code-generation, ai-agent, full-stack, web-development, llama, open-source, claude-artifacts, scaffolding, application-generator
  • highreadme#2
    Strengthen the README's opening paragraph to clarify its core function

    Why:

    CURRENT
    <p align="center">An open source Claude Artifacts – generate small apps with one prompt. Powered by Llama 3 on Together.ai.</p>
    COPY-PASTE FIX
    <p align="center">An open-source implementation of Claude Artifacts, Llama Coder empowers developers to scaffold and generate full-stack web applications from a single natural language prompt, powered by Llama 3 on Together.ai.</p>
  • mediumcomparison#3
    Add a comparison section to differentiate from low-code/no-code tools

    Why:

    COPY-PASTE FIX
    ## How is Llama Coder different?

Llama Coder is an open-source AI agent focused on generating complete, editable code for small web applications and full-stack projects from natural language prompts. Unlike low-code/no-code platforms (e.g., Bubble, Softr) that abstract away code, Llama Coder provides you with the actual codebase. It also differs from general AI SDKs (e.g., Vercel AI SDK) by acting as an autonomous agent that scaffolds entire applications, rather than just providing API access to LLMs.

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 Nutlope/llamacoder
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Vercel AI Playground / Vercel AI SDK
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Vercel AI Playground / Vercel AI SDK · recommended 1×
  2. Durable.co · recommended 1×
  3. Softr · recommended 1×
  4. Bubble · recommended 1×
  5. Anima · recommended 1×
  • CATEGORY QUERY
    How can I generate small web applications quickly using natural language prompts?
    you: not recommended
    AI recommended (in order):
    1. Vercel AI Playground / Vercel AI SDK
    2. Durable.co
    3. Softr
    4. Bubble
    5. Anima
    6. ChatGPT

    AI recommended 6 alternatives but never named Nutlope/llamacoder. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source AI tools exist for scaffolding full-stack applications from descriptions?
    you: not recommended
    AI recommended (in order):
    1. GPT-Engineer
    2. OpenDevin
    3. Smol-developer
    4. Auto-GPT
    5. LlamaIndex
    6. LangChain

    AI recommended 6 alternatives but never named Nutlope/llamacoder. 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 Nutlope/llamacoder?
    pass
    AI named Nutlope/llamacoder explicitly

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

  • If a team adopts Nutlope/llamacoder in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Nutlope/llamacoder 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 Nutlope/llamacoder solve, and who is the primary audience?
    pass
    AI named Nutlope/llamacoder explicitly

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

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Nutlope/llamacoder — 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