RRepoGEO

REPOGEO REPORT · LITE

haykgrigo3/TimeCapsuleLLM

Default branch main · commit 2c839830 · scanned 6/29/2026, 2:02:14 PM

GitHub: 1,949 stars · 71 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
35 /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
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 haykgrigo3/TimeCapsuleLLM, 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 improve categorization

    Why:

    COPY-PASTE FIX
    llm, historical-llm, bias-reduction, nlp, historical-data, vintage-llm, time-specific-data
  • highabout#2
    Refine the repository description to counter misinterpretation

    Why:

    CURRENT
    A LLM trained only on data from certain time periods to reduce modern bias
    COPY-PASTE FIX
    A specialized LLM trained exclusively on historical data to reduce modern biases and emulate past eras; *not* an LLM memory or state management system.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/datasets/postgrammar/london-llm-1800

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 haykgrigo3/TimeCapsuleLLM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4 (and GPT-3.5)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 (and GPT-3.5) · recommended 1×
  2. Claude 3 (Opus, Sonnet, Haiku) · recommended 1×
  3. Llama 3 (8B and 70B) · recommended 1×
  4. Mistral Large / Mixtral 8x7B · recommended 1×
  5. Google Gemini (Advanced/1.5 Pro) · recommended 1×
  • CATEGORY QUERY
    Looking for an AI model that generates text reflecting specific historical periods and worldviews.
    you: not recommended
    AI recommended (in order):
    1. GPT-4 (and GPT-3.5)
    2. Claude 3 (Opus, Sonnet, Haiku)
    3. Llama 3 (8B and 70B)
    4. Mistral Large / Mixtral 8x7B
    5. Google Gemini (Advanced/1.5 Pro)

    AI recommended 5 alternatives but never named haykgrigo3/TimeCapsuleLLM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which language models are designed to minimize modern biases by using historical training data?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's GPT-3/GPT-4
    2. ChatGPT
    3. Google's PaLM 2
    4. Gemini
    5. Anthropic's Claude
    6. Cohere's models

    AI recommended 6 alternatives but never named haykgrigo3/TimeCapsuleLLM. 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 haykgrigo3/TimeCapsuleLLM?
    pass
    AI named haykgrigo3/TimeCapsuleLLM explicitly

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

  • If a team adopts haykgrigo3/TimeCapsuleLLM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named haykgrigo3/TimeCapsuleLLM 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 haykgrigo3/TimeCapsuleLLM solve, and who is the primary audience?
    pass
    AI named haykgrigo3/TimeCapsuleLLM explicitly

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

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haykgrigo3/TimeCapsuleLLM — 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