RRepoGEO

REPOGEO REPORT · LITE

yk/gpt-4chan-public

Default branch master · commit 71c665d2 · scanned 6/7/2026, 5:52:58 AM

GitHub: 638 stars · 77 forks

AI VISIBILITY SCORE
22 /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
1 / 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 yk/gpt-4chan-public, 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
  • highreadme#1
    Reposition README to clarify its role as helper code for GPT-4chan

    Why:

    CURRENT
    # gpt-4chan-public
    Code for GPT-4chan
    
    Note: This repository only contains helper code and small changes I made to other libraries.
    COPY-PASTE FIX
    # gpt-4chan-public: Helper Code for Adapting and Running the GPT-4chan Model
    This repository provides essential helper code and specific modifications for adapting and running the GPT-4chan model. It is designed for researchers and developers interested in replicating specific online discourse patterns, particularly those found in unconventional internet text datasets like 4chan. This is not a general-purpose LLM framework, but rather supports the specific GPT-4chan project.
  • mediumhomepage#2
    Add the project homepage to the About section

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://gpt-4chan.com

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 yk/gpt-4chan-public
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. PyTorch Lightning · recommended 1×
  3. Keras · recommended 1×
  4. DeepSpeed · recommended 1×
  5. LoRA · recommended 1×
  • CATEGORY QUERY
    What are good libraries for fine-tuning large language models on specific, unconventional internet text?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch Lightning
    3. Keras
    4. DeepSpeed
    5. LoRA
    6. OpenAI API
    7. JAX/Flax

    AI recommended 7 alternatives but never named yk/gpt-4chan-public. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking helper code for adapting and running open-source transformer models with custom data.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. PyTorch Lightning (Lightning-AI/pytorch-lightning)
    3. Keras (keras-team/keras)
    4. DeepSpeed (microsoft/DeepSpeed)
    5. Accelerate (huggingface/accelerate)
    6. fastai (fastai/fastai)

    AI recommended 6 alternatives but never named yk/gpt-4chan-public. 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 yk/gpt-4chan-public?
    pass
    AI did not name yk/gpt-4chan-public — 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 yk/gpt-4chan-public in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yk/gpt-4chan-public 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 yk/gpt-4chan-public solve, and who is the primary audience?
    pass
    AI did not name yk/gpt-4chan-public — 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?

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yk/gpt-4chan-public — 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