RRepoGEO

REPOGEO REPORT · LITE

sahil280114/codealpaca

Default branch master · commit 2f78ddc5 · scanned 5/19/2026, 10:43:10 AM

GitHub: 1,510 stars · 112 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 sahil280114/codealpaca, 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
  • highabout#1
    Add a concise description to the About section

    Why:

    COPY-PASTE FIX
    An instruction-following LLaMA model trained on code generation instructions, providing data and code for fine-tuning open-source LLMs for code tasks.
  • mediumhomepage#2
    Add the demo URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://code-alpaca-demo.vercel.app/

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 sahil280114/codealpaca
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CodeGen
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CodeGen · recommended 2×
  2. Code Llama · recommended 1×
  3. StarCoder / StarCoder2 · recommended 1×
  4. DeepSeek-Coder · recommended 1×
  5. WizardCoder · recommended 1×
  • CATEGORY QUERY
    What are good open-source models for generating programming code from natural language instructions?
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. StarCoder / StarCoder2
    3. DeepSeek-Coder
    4. WizardCoder
    5. Phi-2
    6. CodeGen

    AI recommended 6 alternatives but never named sahil280114/codealpaca. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I fine-tune a large language model specifically for instruction-following code generation?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PEFT
    3. LLaMA
    4. Code LLaMA
    5. StarCoder
    6. CodeGen
    7. Incoder
    8. DeepSeek Coder
    9. Alpaca
    10. ShareGPT
    11. Code Alpaca
    12. Axolotl
    13. OpenAI API
    14. GPT-3.5 Turbo
    15. GPT-4
    16. vLLM
    17. TGI (Text Generation Inference)
    18. DeepSpeed
    19. FSDP (Fully Sharded Data Parallel)
    20. PyTorch

    AI recommended 20 alternatives but never named sahil280114/codealpaca. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 sahil280114/codealpaca?
    pass
    AI named sahil280114/codealpaca explicitly

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

  • If a team adopts sahil280114/codealpaca in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sahil280114/codealpaca 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 sahil280114/codealpaca solve, and who is the primary audience?
    pass
    AI named sahil280114/codealpaca explicitly

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

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sahil280114/codealpaca — 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