RRepoGEO

REPOGEO REPORT · LITE

akashmjn/tinydiarize

Default branch main · commit 7cba47de · scanned 6/14/2026, 2:12:42 AM

GitHub: 546 stars · 23 forks

AI VISIBILITY SCORE
28 /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
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 akashmjn/tinydiarize, 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

2 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 to emphasize lightweight, local processing

    Why:

    CURRENT
    # tinydiarize 🐥🗣️
- *Speaker diarization* labels who said what in a transcript (e.g. Speaker A, Speaker B …). It is essential for conversation transcripts like meetings or podcasts.
- *tinydiarize* aims to be a minimal, interpretable extension of OpenAI's Whisper models that adds speaker diarization with few extra dependencies (inspired by minGPT).
    COPY-PASTE FIX
    # tinydiarize 🐥🗣️
*tinydiarize* is a minimal, interpretable extension of OpenAI's Whisper, designed for **lightweight speaker diarization on consumer hardware like MacBooks and iPhones**. It adds speaker diarization with few extra dependencies, making it ideal for local processing of conversation transcripts like meetings or podcasts. This finetuned model uses special tokens to mark speaker changes, leveraging both voice and semantic context to tell speakers apart.
  • mediumhomepage#2
    Add a homepage URL linking to the demo notebook

    Why:

    COPY-PASTE FIX
    https://colab.research.google.com/github/akashmjn/tinydiarize/blob/main/notebooks/Demo_YouTube.ipynb

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 akashmjn/tinydiarize
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SpeechBrain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. SpeechBrain · recommended 2×
  2. NVIDIA NeMo · recommended 1×
  3. pyannote.audio · recommended 1×
  4. Google Cloud Speech-to-Text API · recommended 1×
  5. Amazon Transcribe · recommended 1×
  • CATEGORY QUERY
    How to accurately identify different speakers in a long audio conversation transcript?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA NeMo
    2. pyannote.audio
    3. Google Cloud Speech-to-Text API
    4. Amazon Transcribe
    5. Microsoft Azure Cognitive Services - Speech
    6. SpeechBrain
    7. OpenVoiceOS (OVOS)

    AI recommended 7 alternatives but never named akashmjn/tinydiarize. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight speaker diarization solution for local processing on consumer devices.
    you: not recommended
    AI recommended (in order):
    1. Pyannote.audio
    2. ONNX Runtime
    3. Whisper (openai/whisper)
    4. pyannote/whisper (pyannote/whisper)
    5. openai/whisper-diarization (openai/whisper-diarization)
    6. Vosk
    7. Kaldi
    8. scikit-learn
    9. SpeechBrain
    10. Nemo

    AI recommended 10 alternatives but never named akashmjn/tinydiarize. 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 akashmjn/tinydiarize?
    pass
    AI named akashmjn/tinydiarize explicitly

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

  • If a team adopts akashmjn/tinydiarize in production, what risks or prerequisites should they evaluate first?
    pass
    AI named akashmjn/tinydiarize 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 akashmjn/tinydiarize solve, and who is the primary audience?
    pass
    AI did not name akashmjn/tinydiarize — 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?

Embed your GEO score

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akashmjn/tinydiarize — 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