RRepoGEO

REPOGEO REPORT · LITE

fastrepl/anarlog

Default branch main · commit ed2f0ee4 · scanned 5/18/2026, 5:32:11 PM

GitHub: 8,481 stars · 613 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 the 'Note' about 'char' in the README

    Why:

    CURRENT
    > **Note:** We're now working primarily on **char** — a new productivity-focused product that's where most of our active development goes. **anarlog** stays open-source, MIT-licensed, and maintained. The cross-link to char lives here so you know where the team's attention is. Same team, different bets.
    COPY-PASTE FIX
    Move this entire 'Note' block to appear *after* the `# anarlog` heading and its immediate descriptive sentence, ensuring the README starts directly with the project's name and purpose.
  • mediumreadme#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., `## Compared to X, Y, Z` or `## Why anarlog vs. other tools`, that directly mentions competitors like Whisper Desktop, Obsidian, and Joplin, and highlights anarlog's unique selling points (local-first, bring your own LLM, markdown notes, no cloud lock-in).
  • mediumtopics#3
    Expand GitHub topics with functional keywords

    Why:

    CURRENT
    local-first, notetaking, open-source, react, rust, tauri, typescript
    COPY-PASTE FIX
    local-first, notetaking, open-source, react, rust, tauri, typescript, ai-transcription, meeting-notes, speech-to-text, llm-integration, privacy-first, desktop-app

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
Whisper Desktop
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper Desktop · recommended 2×
  2. Obsidian · recommended 2×
  3. Joplin · recommended 2×
  4. VS Code · recommended 2×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source, local-first AI tool to transcribe meetings and save notes.
    you: not recommended
    AI recommended (in order):
    1. Whisper Desktop
    2. Obsidian
    3. Joplin
    4. transformers library (huggingface/transformers)
    5. Logseq
    6. VS Code
    7. Sublime Text
    8. Notepad++
    9. OpenVoiceOS
    10. Vosk
    11. Mycroft's STT

    AI recommended 11 alternatives but never named fastrepl/anarlog. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best desktop applications for local meeting transcription and markdown note generation?
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Whisper Desktop
    3. Joplin
    4. Typora
    5. VS Code
    6. Simplenote

    AI recommended 6 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