RRepoGEO

REPOGEO REPORT · LITE

TransformerOptimus/SuperCoder

Default branch main · commit bd712a36 · scanned 6/9/2026, 5:21:54 PM

GitHub: 971 stars · 106 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 TransformerOptimus/SuperCoder, 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
  • highhomepage#1
    Correct or remove the misleading homepage URL

    Why:

    CURRENT
    https://superagi.com
    COPY-PASTE FIX
    (none)
  • hightopics#2
    Add specific topics for 'coding agent' and 'local development'

    Why:

    CURRENT
    agent, ai, ai-developer, autonomous-agents, claude-3, go, golab, golang, gpt-4, nextjs, openai, python, software-development
    COPY-PASTE FIX
    agent, ai, ai-developer, autonomous-agents, claude-3, go, golang, gpt-4, nextjs, openai, python, software-development, coding-agent, local-development, desktop-app
  • mediumabout#3
    Refine the repository description for clarity and keyword density

    Why:

    CURRENT
    Open Source Autonomous Software Development System
    COPY-PASTE FIX
    A local-first, open-source AI coding agent for desktop, featuring graph-aware code understanding for large codebases.

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 TransformerOptimus/SuperCoder
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 1×
  2. Continue · recommended 1×
  3. OpenDevin · recommended 1×
  4. smol-developer · recommended 1×
  5. GPT-Engineer · recommended 1×
  • CATEGORY QUERY
    What are the best open-source AI coding agents for local software development?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue
    3. OpenDevin
    4. smol-developer
    5. GPT-Engineer
    6. Auto-GPT

    AI recommended 6 alternatives but never named TransformerOptimus/SuperCoder. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I use an AI agent to understand large codebases and integrate custom LLMs?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. LangChain (langchain-ai/langchain)
    3. OpenAI's Assistants API
    4. Hugging Face Transformers Agents (huggingface/transformers)
    5. Sourcegraph (sourcegraph/sourcegraph)
    6. GitHub Copilot Chat
    7. ast
    8. Tree-sitter (tree-sitter/tree-sitter)
    9. sentence-transformers (UKP-LAB/sentence-transformers)
    10. Pinecone
    11. Weaviate (weaviate/weaviate)
    12. Chroma (chroma-core/chroma)
    13. Qdrant (qdrant/qdrant)

    AI recommended 13 alternatives but never named TransformerOptimus/SuperCoder. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 TransformerOptimus/SuperCoder?
    pass
    AI named TransformerOptimus/SuperCoder explicitly

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

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

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

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TransformerOptimus/SuperCoder — 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