Cloning Granola for Linux: Leveraging Gemini API for Bespoke Meeting Intelligence
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SaaS Companies Fear Me: Cloning* Granola for Linux
Ryan Swift developed Quinoa, a specialized note-taking tool for Linux using Gemini CLI and OpenCode. The system automates transcription and RAG-based search through direct integration with Google Gemini models.
Why This Matters
The project demonstrates the shift toward agent-driven development where engineers can bypass SaaS platform limitations by building bespoke, local-first tools. By utilizing Google’s RAG-as-a-service and audio understanding APIs, developers can now implement complex features like speaker-labeled transcriptions and context-aware note enhancement with minimal manual coding.
Key Insights
- Google Gemini API handles multi-modal tasks including speaker labeling and audio transcription for meeting recordings (2026).
- RAG-as-a-service allows for drop-in file search capabilities that cite specific information sources within meeting notes.
- The project was built almost exclusively using Gemini CLI and OpenCode, demonstrating that agent-driven code review can sustain niche software projects.
- Bespoke software development via agents allows for hyper-personalized system configurations that prioritize individual user preferences over mass-market design choices.
- Gemini models can perform ‘Notes Enhancement’ by cross-referencing user-written snippets with full meeting transcripts.
Practical Applications
- Meeting Intelligence: Implementing Google Gemini for transcription and action item extraction in local-first Linux applications. Pitfall: Context window limitations in coding agents can lead to implementation errors when using newly released libraries.
- Personalized SaaS Cloning: Using LLM agents to recreate proprietary software features for unsupported platforms. Pitfall: Over-reliance on agents for code review may result in bugs if the developer does not provide highly specific system configs.
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