SCAPO
Extracts actionable AI service optimization tips from community discussions on platforms like Reddit.
About
SCAPO is a community-driven knowledge base designed to help users optimize their AI service usage and reduce costs. It intelligently scrapes Reddit for specific, actionable tips on popular AI platforms like OpenAI, Claude, Midjourney, and Stable Diffusion, bypassing generic advice. By leveraging intelligent search patterns and LLM filtering, SCAPO uncovers hidden gems, configuration settings, and cost-saving techniques, enabling users to save time and credits while maximizing their AI application performance and understanding service-specific quirks.
Key Features
- Intelligent Tip Extraction: Employs LLMs to filter and extract specific, actionable optimization techniques from Reddit posts.
- Structured Knowledge Organization: Organizes extracted tips into categorized Markdown and JSON files (e.g., cost optimization, prompting, pitfalls).
- Automated Service Discovery: Identifies and targets over 380 AI services from public lists.
- 0 GitHub stars
- Interactive TUI: Provides a user-friendly terminal interface for browsing and searching collected optimization tips.
- Git-Friendly Updates: Designed for seamless version control, enabling clean and consistent updates to the knowledge base.
Use Cases
- Optimize AI service costs and reduce credit consumption.
- Discover specific technical configurations, best practices, and hidden features for various AI tools.
- Identify common pitfalls, bugs, and API limits associated with AI services.
Advertisement