RRepoGEO

REPOGEO REPORT · LITE

mkiol/dsnote

Default branch main · commit ebc95289 · scanned 5/16/2026, 11:27:26 AM

GitHub: 1,463 stars · 63 forks

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 mkiol/dsnote, 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
    Add a clarifying sentence to the README's opening to counter 'data science' miscategorization

    Why:

    CURRENT
    Linux desktop and Sailfish OS app for note taking, reading and translating with offline Speech to Text, Text to Speech and Machine Translation
    COPY-PASTE FIX
    Speech Note is a full-featured Linux desktop and Sailfish OS application (not a data science library or notebook) for note taking, reading and translating with offline Speech to Text, Text to Speech and Machine Translation
  • highreadme#2
    Strengthen the README's 'Description' to emphasize integrated, offline application features

    Why:

    CURRENT
    **Speech Note** let you take, read and translate notes in multiple languages. It uses Speech to Text, Text to Speech and Machine Translation to do so. Text and voice processing take place entirely offline, locally on your computer, without using a network connection. Your privacy is always respected. No data is sent to the Internet.
    COPY-PASTE FIX
    **Speech Note** is a unique, privacy-focused Linux desktop and Sailfish OS application that seamlessly integrates offline Speech to Text, Text to Speech, and Machine Translation. It empowers you to take, read, and translate notes in multiple languages, with all text and voice processing taking place entirely offline, locally on your computer, ensuring your privacy is always respected and no data is sent to the Internet.
  • mediumabout#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://flathub.org/apps/net.mkiol.SpeechNote

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 mkiol/dsnote
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/whisper · recommended 1×
  2. whisper-ui · recommended 1×
  3. laurent22/joplin · recommended 1×
  4. alphacep/vosk-api · recommended 1×
  5. kaldi-asr/kaldi · recommended 1×
  • CATEGORY QUERY
    What are good offline speech-to-text note-taking applications for Linux desktop?
    you: not recommended
    AI recommended (in order):
    1. Whisper (openai/whisper)
    2. whisper-ui
    3. Joplin (laurent22/joplin)
    4. Vosk (alphacep/vosk-api)
    5. Kaldi (kaldi-asr/kaldi)
    6. KDE Connect (KDE/kdeconnect-kde)
    7. Gboard

    AI recommended 7 alternatives but never named mkiol/dsnote. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Linux app that combines offline speech recognition, text-to-speech, and machine translation.
    you: not recommended
    AI recommended (in order):
    1. Mozilla Common Voice
    2. LibreTranslate
    3. Coqui TTS
    4. Mycroft Mimic 3
    5. Whisper (OpenAI)
    6. KDE Krita
    7. Festival
    8. eSpeak-NG
    9. Speech Note
    10. Vosk

    AI recommended 10 alternatives but never named mkiol/dsnote. 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 mkiol/dsnote?
    pass
    AI named mkiol/dsnote explicitly

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

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

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

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mkiol/dsnote — 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