Eilo

Eilo is an AI-powered feedback management platform that revolutionizes how developers collect and process user feedback. Users can simply describe their feedback in a single text input, and Eilo’s intelligent system automatically processes, categorizes, and organizes it for maximum efficiency.

Project Overview

Eilo streamlines the feedback collection process by leveraging artificial intelligence to extract meaningful insights from user input. The platform automatically analyzes feedback sentiment, priority, category, and estimated effort, while intelligently merging similar issues to reduce redundancy.

Key Features

• Simple Feedback Input: Users submit feedback through a single, intuitive text field
• AI-Powered Processing: Intelligent analysis of feedback using OpenAI integration
• Smart Categorization: Automatic extraction of priority, category, sentiment, and effort estimates
• Duplicate Detection: AI-driven merging of similar issues to prevent redundancy
• Developer Dashboard: Clean interface for reviewing and managing feedback
• Real-time Processing: Efficient background processing using BullMQ

AI Intelligence

Eilo’s AI pipeline analyzes each feedback submission to extract:

• Priority Level: Automatic assessment of issue importance
• Category Classification: Smart tagging based on content analysis
• Sentiment Analysis: Understanding user emotion and satisfaction
• Effort Estimation: Predicted development time and complexity
• Similarity Detection: Identification of duplicate or related issues

Tech Stack

• Framework: TanStack Start for modern full-stack development
• Authentication: Clerk for secure user management
• UI Components: ShadCN UI with Tailwind CSS for beautiful, responsive design
• AI Processing: OpenAI for intelligent feedback analysis
• Database: PostgreSQL for reliable data storage
• Caching: Redis for fast data retrieval and session management
• Queue System: BullMQ for efficient background job processing
• Payments: Stripe integration for subscription management
• Validation: Zod for robust data validation and type safety
• Language: TypeScript throughout for type safety

Performance & Efficiency

• Queue-Based Processing: BullMQ handles AI analysis in the background
• Caching Strategy: Redis optimizes response times and reduces API calls
• Efficient Database Design: PostgreSQL with optimized queries
• Real-time Updates: Live dashboard updates as feedback is processed

Development Philosophy

Eilo is built with developer experience in mind:

• Simplicity: One-click feedback submission for users
• Intelligence: AI does the heavy lifting of categorization and analysis
• Efficiency: Background processing prevents UI blocking
• Scalability: Queue-based architecture handles high volumes
• Reliability: Robust error handling and data validation

Current Status

Eilo is actively under development, with core AI processing and dashboard features being refined. The platform will be available at eilo.dev upon completion.

Vision

The goal is to create the most intuitive feedback collection system that requires minimal effort from users while providing maximum value to developers through AI-powered insights and automated organization.