RRepoGEO

REPOGEO REPORT · LITE

arman-bd/guppylm

Default branch main · commit a30df309 · scanned 5/15/2026, 9:33:10 AM

GitHub: 3,173 stars · 277 forks

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 arman-bd/guppylm, 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:

    COPY-PASTE FIX
    llm, language-model, machine-learning, deep-learning, tutorial, education, from-scratch, colab, pytorch, nlp, small-llm, beginner-friendly
  • highabout#2
    Update the About description to highlight the tutorial aspect

    Why:

    CURRENT
    A ~9M parameter LLM that talks like a small fish.
    COPY-PASTE FIX
    A ~9M parameter LLM project demonstrating how to build a complete language model from scratch, ideal for beginners and educational purposes.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://arman-bd.github.io/guppylm/

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 arman-bd/guppylm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/transformers · recommended 1×
  2. Google Colaboratory · recommended 1×
  3. ludwig-ai/ludwig · recommended 1×
  4. OpenAI Fine-tuning API · recommended 1×
  5. facebookresearch/fastText · recommended 1×
  • CATEGORY QUERY
    How can I quickly train a custom small language model without extensive hardware requirements?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. Google Colaboratory
    3. Ludwig (ludwig-ai/ludwig)
    4. OpenAI Fine-tuning API
    5. FastText (facebookresearch/fastText)

    AI recommended 5 alternatives but never named arman-bd/guppylm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a beginner-friendly tutorial to build a complete language model from scratch.
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Hugging Face Transformers Library
    4. TorchText

    AI recommended 4 alternatives but never named arman-bd/guppylm. 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 arman-bd/guppylm?
    pass
    AI named arman-bd/guppylm explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of arman-bd/guppylm. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/arman-bd/guppylm.svg)](https://repogeo.com/en/r/arman-bd/guppylm)
HTML
<a href="https://repogeo.com/en/r/arman-bd/guppylm"><img src="https://repogeo.com/badge/arman-bd/guppylm.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

arman-bd/guppylm — 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