Spinner is a tool for measuring and improving sales performance using the SPIN methodology. Based on the concepts in the SPIN Selling book, it provides a way to analyze sales conversations.
Spinner’s interface was built using Webcrumbs Frontend AI. It is practical and designed to meet user needs. Explore it and tweak it through this link.
Spinner applies the SPIN methodology to sales training and performance measurement. It keeps data on the user’s device and avoids unnecessary complexity, offering an open-source solution.
- SPIN Methodology Integration: Analyze and improve sales techniques.
- Local-Only Data: Data is stored locally, except for calls to the OpenAI API.
- Device Audio Monitoring: Captures sound output for analysis.
- OpenAI Integration: Uses an OpenAI API key for conversation analysis.
- Cross-Platform: Built with Electron for desktop compatibility.
- Open Source: Licensed under AGPL.
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Clone the repository:
git clone https://github.com/your-username/spinner.git cd spinner -
Install it
npm install && npm install --prefix frontend -
Start the app:
npm start
Spinner is licensed under the AGPL (GNU Affero General Public License), keeping it open and available for modification.
Spinner is under development. Planned features include:
- Real-Time Subtitles: Generate live transcription.
- Real-Time Scoring: Apply SPIN scoring during conversations.
- Recommendations: Provide suggestions based on scoring.
- Exporting Options: Save audio, transcription, and reports.
Contributions are welcome. To contribute:
- Fork the repository.
- Create a branch for your changes.
- Submit a pull request for review.
Crafted by @heyjmac with Webcrumbs