RRepoGEO

REPOGEO REPORT · LITE

karpathy/hn-time-capsule

Default branch master · commit ca02ebb4 · scanned 5/31/2026, 12:23:04 AM

GitHub: 638 stars · 64 forks

AI VISIBILITY SCORE
23 /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
2 / 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 karpathy/hn-time-capsule, 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
  • highreadme#1
    Reposition the README's opening sentence to clarify it's an LLM application

    Why:

    CURRENT
    A Hacker News time capsule project that pulls the HN frontpage from exactly 10 years ago, analyzes articles and discussions using an LLM to evaluate prescience with the benefit of hindsight, and generates an HTML report.
    COPY-PASTE FIX
    HN Time Capsule is an **LLM-powered application** that analyzes Hacker News discussions from a decade ago to evaluate prescience with the benefit of hindsight, generating an HTML report.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm, hacker-news, historical-analysis, ai-application, time-capsule, python
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of the MIT License.

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 karpathy/hn-time-capsule
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. huggingface/transformers · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. Pinecone · recommended 1×
  5. weaviate/weaviate · recommended 1×
  • CATEGORY QUERY
    How to use large language models for analyzing historical online discussions and predictions?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers Library (huggingface/transformers)
    3. LangChain (langchain-ai/langchain)
    4. Pinecone
    5. Weaviate (weaviate/weaviate)
    6. spaCy (explosion/spaCy)
    7. NLTK (nltk/nltk)
    8. Google Cloud Vertex AI
    9. Azure OpenAI Service

    AI recommended 9 alternatives but never named karpathy/hn-time-capsule. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for retrospectively evaluating past online content and discussions using AI models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (GPT-4, GPT-3.5 Turbo)
    2. Google Cloud Natural Language API
    3. Amazon Comprehend
    4. Hugging Face Transformers (with pre-trained models like BERT, RoBERTa, XLNet)
    5. IBM Watson Natural Language Understanding
    6. MonkeyLearn
    7. Lexalytics (now part of InMoment)

    AI recommended 7 alternatives but never named karpathy/hn-time-capsule. 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 karpathy/hn-time-capsule?
    pass
    AI did not name karpathy/hn-time-capsule — 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 karpathy/hn-time-capsule in production, what risks or prerequisites should they evaluate first?
    pass
    AI named karpathy/hn-time-capsule 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 karpathy/hn-time-capsule solve, and who is the primary audience?
    pass
    AI named karpathy/hn-time-capsule explicitly

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

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karpathy/hn-time-capsule — 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