RipeMetrics
AI-native customer growth platform that helps businesses automate customer service, reduce costs by 40%, and scale support operations through intelligent chatbots, predictive analytics, and omni-channel communication.
Role
Founder, President & Full Stack Developer
Timeline
April 2017 - July 2025
Technologies
The Challenge
Businesses struggle to scale customer service operations efficiently. Traditional support systems are costly, slow to respond, and can't handle the volume of customer interactions modern businesses face. Companies need intelligent automation that maintains service quality while reducing operational costs.
The Solution
RipeMetrics is an AI-native customer growth platform that processes thousands of customer interactions daily across 50+ enterprise clients. The platform combines context-aware chatbots, vector database search, and real-time analytics to deliver intelligent, automated customer service at scale.
AI-Powered Chatbots
Context-aware chatbots built with OpenAI, MySQL, and Pinecone/Chroma vector databases for omni-channel AI customer service with intelligent response generation.
Real-Time Analytics Dashboard
Comprehensive analytics with 40+ custom charts using Highcharts for large dataset visualization, providing actionable insights into customer interactions and service performance.
Automated Content Extraction
Modular website content extraction system using TypeScript and Apify SDK, reducing client onboarding time from 20 minutes to just 2 minutes.
Real-Time Call Center
Web-based call center with ElevenLabs voice synthesis and Twilio integration for IVR system, enabling voice-based customer interactions with AI assistance.
Impact
Technical Implementation
Frontend Architecture: Led complete refactor from Laravel Livewire to React/Next.js using RTK Query, TypeScript, TailwindCSS, and Material UI, reducing network request response times by 6 seconds on average. Built the main SaaS application and marketing website with headless CMS integration using Sanity. Created lightweight Preact islands architecture for embeddable widgets and WordPress plugin integration.
AI & Machine Learning: Designed context-aware chatbot using OpenAI, MySQL, and Pinecone/Chroma vector databases for omni-channel AI customer service. Implemented Next.js/FastAPI system for AI interactions with streaming response capabilities. Architected vector databases for document embeddings with multi-tenant architecture.
Backend & Infrastructure: Built real-time communication systems using PusherJS and WebSockets. Monitored and maintained CI/CD pipelines through Forge, Vercel, Bitbucket, and DigitalOcean. Implemented PostHog analytics to monitor onboarding processes and optimize user flow conversion rates. Configured SendGrid SDK for marketing email server supporting 10,000+ daily emails with TCR/10DLC compliance.
Key Technical Achievements
Performance Optimization
Reduced network request response times by 6 seconds on average through complete React/Next.js refactor with RTK Query and TypeScript.
Rapid Client Onboarding
Built automated content extraction system that reduced client onboarding time from 20 minutes to 2 minutes using TypeScript and Apify SDK.
Comprehensive Analytics
Developed analytics dashboard with 40+ custom charts using Highcharts for large dataset visualization and real-time insights.
High Availability
Achieved 95%+ system uptime through robust architecture, comprehensive monitoring with Sentry and PostHog, and efficient CI/CD pipelines.
Scalable Email Infrastructure
Configured SendGrid SDK to support 10,000+ daily marketing emails with TCR/10DLC compliance for enterprise-scale communication.
Multi-Tenant Vector Database
Architected vector databases for document embeddings with multi-tenant architecture using Pinecone and Chroma for intelligent search.
Results
RipeMetrics successfully scaled from concept to serving 50+ enterprise clients, processing thousands of customer interactions daily. The platform reduced customer service costs by 40% through AI automation while maintaining 95%+ system uptime. Led technical team through multiple successful product pivots based on market feedback, demonstrating the platform's adaptability and robust architecture.