RRepoGEO

REPOGEO REPORT · LITE

fastrepl/anarlog

Default branch main · commit 74d5fb36 · scanned 6/30/2026, 12:17:04 AM

GitHub: 8,745 stars · 649 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 fastrepl/anarlog, 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 README's opening to explicitly state its primary function

    Why:

    CURRENT
    > **Note:** The team is now building **char**. **anarlog** remains open-source, MIT-licensed, and maintained as the local-first meeting notetaker in this repo.
    
    [](https://deepwiki.com/fastrepl/anarlog)
    
    # anarlog
    
    An open-source AI meeting notetaker that is local-first, privacy-first, and yours to fork.
    
    Granola, rearranged.
    COPY-PASTE FIX
    # anarlog: Your Local-First AI Meeting Notetaker
    
    **anarlog** is an open-source, privacy-first AI meeting notetaker that runs entirely on your device. It's designed as a local-first alternative to cloud-based tools like Granola, giving you full control over your data and AI models.
    
    > **Note:** While the team is now building **char**, **anarlog** remains actively maintained as the local-first meeting notetaker in this repository.
  • highabout#2
    Update repository description for clarity

    Why:

    CURRENT
    Open source Granola AI Alternative
    COPY-PASTE FIX
    Local-first, open-source AI meeting notetaker with on-device transcription and bring-your-own LLM support.
  • mediumtopics#3
    Add more specific topics

    Why:

    CURRENT
    local-first, notetaking, open-source, react, rust, tauri, typescript
    COPY-PASTE FIX
    local-first, notetaking, open-source, react, rust, tauri, typescript, ai, llm, transcription, meeting-notes, privacy-first

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 fastrepl/anarlog
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ggerganov/whisper.cpp
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. ggerganov/whisper.cpp · recommended 3×
  2. alphacep/vosk-api · recommended 2×
  3. openai/whisper · recommended 2×
  4. laurent22/joplin · recommended 1×
  5. mozilla/DeepSpeech · recommended 1×
  • CATEGORY QUERY
    I need an open-source AI meeting notetaker that keeps all data local and private.
    you: not recommended
    AI recommended (in order):
    1. Whisper Desktop (ggerganov/whisper.cpp)
    2. Joplin (laurent22/joplin)
    3. Vosk Speech Recognition Toolkit (alphacep/vosk-api)
    4. whisper.cpp (ggerganov/whisper.cpp)
    5. Mozilla DeepSpeech (mozilla/DeepSpeech)

    AI recommended 5 alternatives but never named fastrepl/anarlog. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some good local-first meeting transcription tools with bring-your-own LLM support?
    you: not recommended
    AI recommended (in order):
    1. Whisper.cpp (ggerganov/whisper.cpp)
    2. llama.cpp (ggerganov/llama.cpp)
    3. Ollama (ollama/ollama)
    4. Python `whisper` library (openai/whisper)
    5. LocalAI (mudler/LocalAI)
    6. MacWhisper (jordibruin/macwhisper)
    7. Buzz (chidiwilliams/buzz)
    8. transformers (huggingface/transformers)
    9. openai-whisper (openai/whisper)
    10. llama-cpp-python (abetlen/llama-cpp-python)
    11. Vosk (alphacep/vosk-api)
    12. Kaldi (kaldi-asr/kaldi)

    AI recommended 12 alternatives but never named fastrepl/anarlog. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 fastrepl/anarlog?
    pass
    AI named fastrepl/anarlog explicitly

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

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

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

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fastrepl/anarlog — 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