RRepoGEO

REPOGEO REPORT · LITE

Standard-Intelligence/hertz-dev

Default branch main · commit 076c2751 · scanned 5/27/2026, 7:13:18 AM

GitHub: 1,789 stars · 115 forks

AI VISIBILITY SCORE
22 /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
1 / 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 Standard-Intelligence/hertz-dev, 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
    Disambiguate the README's opening to prevent miscategorization

    Why:

    CURRENT
    # hertz-dev

Hertz-dev is an open-source, first-of-its-kind base model for full-duplex conversational audio.
    COPY-PASTE FIX
    # hertz-dev: A Base Model for Full-Duplex Conversational Audio

Hertz-dev is an open-source, first-of-its-kind base model specifically designed for full-duplex conversational audio. Unlike general-purpose frameworks or frequency tools, Hertz-dev focuses on enabling real-time, bidirectional voice interactions.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    conversational-ai, full-duplex, audio-processing, speech-to-text, real-time-audio, machine-learning, deep-learning, ai-model, voice-ai
  • mediumreadme#3
    Add a dedicated section explaining Hertz-dev's core differentiator

    Why:

    COPY-PASTE FIX
    ## Why Hertz-dev? 

Hertz-dev stands out as the first open-source base model specifically engineered for *full-duplex* conversational audio. While many models handle speech-to-text or text-to-speech, Hertz-dev is built from the ground up for seamless, real-time, bidirectional voice interaction, making it ideal for truly natural conversational AI applications.

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 Standard-Intelligence/hertz-dev
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coqui TTS
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Coqui TTS · recommended 2×
  2. Google Cloud Speech-to-Text · recommended 1×
  3. AssemblyAI · recommended 1×
  4. AWS Transcribe · recommended 1×
  5. Deepgram · recommended 1×
  • CATEGORY QUERY
    How to build a real-time, full-duplex conversational AI system for audio?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text
    2. AssemblyAI
    3. AWS Transcribe
    4. Deepgram
    5. OpenAI Whisper
    6. Rasa
    7. Google Dialogflow CX
    8. Microsoft Bot Framework Composer
    9. OpenAI GPT-3.5/GPT-4
    10. Hugging Face Transformers
    11. Google Cloud Text-to-Speech
    12. AWS Polly
    13. Microsoft Azure Text-to-Speech
    14. ElevenLabs
    15. Coqui TTS
    16. WebSockets
    17. gRPC
    18. Opus Codec
    19. WebRTC
    20. Python
    21. FastAPI
    22. Flask
    23. Django
    24. Node.js
    25. Express
    26. NestJS
    27. Go
    28. Gin
    29. Echo
    30. Kafka
    31. RabbitMQ

    AI recommended 31 alternatives but never named Standard-Intelligence/hertz-dev. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source models enable live, bidirectional audio communication with low latency?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. VITS
    3. YourTTS
    4. Coqui TTS
    5. Mozilla DeepSpeech
    6. Tacotron 2
    7. Glow-TTS
    8. WaveGlow
    9. Hifi-GAN
    10. ESPnet
    11. Rhasspy
    12. Kaldi
    13. Vosk
    14. MaryTTS
    15. Piper

    AI recommended 15 alternatives but never named Standard-Intelligence/hertz-dev. 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 Standard-Intelligence/hertz-dev?
    pass
    AI did not name Standard-Intelligence/hertz-dev — 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?

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

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Standard-Intelligence/hertz-dev — 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