Saivvi

AI-powered content intelligence platform helping creators discover trends and craft viral content

Overview

Saivvi is an innovative AI-powered platform that empowers content creators, marketers, and social media professionals to stay ahead of trends and create engaging content. By leveraging machine learning algorithms to analyze millions of social media posts, trending topics, and engagement patterns, Saivvi provides actionable insights and content suggestions tailored to each creator's niche and audience.

Built as a mobile-first React Native application with Supabase backend, the platform delivers real-time trend analysis, AI-generated content ideas, and performance predictions. The application features sophisticated subscription management through RevenueCat, personalized content feeds, and comprehensive analytics dashboards that help creators understand what resonates with their audiences.

This project required deep integration with multiple AI/ML services, building intelligent content recommendation systems, designing intuitive mobile interfaces for complex data visualization, and implementing seamless subscription management across iOS and Android platforms.

Role: Senior Frontend Engineer
Duration: 9 months
Team: Cross-functional team of 3 frontend engineers, 2 backend engineers, 1 AI/ML engineer, 2 designers, and 1 product lead

The Challenge

Content creators struggle to stay current with rapidly changing trends, often missing opportunities or creating content that fails to resonate with their audiences. The challenge was to build an intelligent system that could analyze vast amounts of social media data in real-time, identify emerging trends before they peak, and provide personalized, actionable content suggestions. The platform needed to process millions of data points while delivering instant insights through an intuitive mobile interface.

Process and analyze millions of social media posts in real-time to identify emerging trends with 24-hour lead time
Build AI-powered content suggestion engine providing personalized ideas based on creator niche and audience
Design mobile-first interface displaying complex analytics and trend data in intuitive, actionable formats
Implement seamless cross-platform subscription management with trial periods, upgrades, and restoration

What I built

Real-Time Trend Discovery Engine

Developed sophisticated trend discovery interface that surfaces emerging topics before they reach mainstream awareness. Built with React Native and integrated with AI backends analyzing millions of social posts hourly. The interface features interactive trend cards showing velocity metrics, engagement predictions, and optimal posting times. Implemented infinite scroll with intelligent prefetching, smooth animations, and pull-to-refresh for instant updates. Created custom data visualization components displaying trend trajectories and competitor comparisons.

24-hour lead time on emerging trends

AI Content Ideation Studio

Engineered intelligent content generation interface powered by GPT-based models fine-tuned on viral content patterns. The studio provides creators with endless content ideas, headline variations, caption suggestions, and hashtag recommendations tailored to their niche. Built swipe able card interface for rapid idea evaluation, bookmark system for saving favorites, and one-tap content export. Implemented sophisticated prompt engineering delivering contextually relevant suggestions with 85% creator approval rate.

85% creator approval rate on suggestions

Performance Prediction Analytics

Created comprehensive analytics dashboard predicting content performance before publication. Built machine learning integration that analyzes content characteristics, timing, audience behavior, and trend alignment to forecast engagement. Implemented intuitive visualization showing predicted reach, engagement rate, and viral potential with confidence intervals. The system includes A/B testing recommendations for headlines, optimal posting schedules, and audience targeting insights.

78% accuracy in engagement predictions

Seamless Subscription Experience

Architected sophisticated subscription management system using RevenueCat for cross-platform purchases, trial management, and entitlement verification. Built native subscription screens with dynamic pricing display, feature comparisons, and compelling upgrade CTAs. Implemented trial tracking, renewal reminders, and graceful degradation for expired subscriptions. The system handles iOS and Android platform differences seamlessly while maintaining consistent business logic.

35% trial-to-paid conversion rate

How it works

Built on React Native with TypeScript for cross-platform mobile development targeting iOS and Android. Supabase provides real-time database, authentication, and serverless functions for AI model orchestration. RevenueCat handles subscription management, purchase verification, and entitlement sync across platforms. AI/ML services include GPT-4 for content generation and custom trend detection models running on cloud infrastructure. The architecture uses context-based state management with React Query for server state synchronization and AsyncStorage for offline persistence.

Stack

React Native
Supabase
RevenueCat
AI/ML
TypeScript

Hard parts

Integrating multiple AI/ML services (GPT-4, trend detection models, sentiment analysis) with consistent response times under 2 seconds
Building responsive mobile interface displaying complex trend graphs, analytics charts, and data tables without performance issues
Implementing reliable subscription management across iOS and Android with different purchase flows and entitlement verification
Handling offline scenarios where creators need access to saved content ideas and trends without connectivity

How I solved them

Created API gateway with request batching, parallel processing, and intelligent caching reducing AI response times by 60%
Developed custom chart library optimized for React Native with canvas rendering, gesture handling, and 60fps animations
Built abstraction layer over RevenueCat with retry logic, receipt validation, and webhook integration achieving 99.9% purchase success
Implemented sophisticated offline-first architecture with Supabase local caching and background sync when connectivity returns

Results

50,000+
Active Creators: Within first 6 months; 35%
Conversion Rate: Trial to paid subscriptions; 5 hrs/week
Time Saved: Per creator on average

Launched to 50,000+ content creators within 6 months with 73% monthly active user rate
Achieved 35% trial-to-paid conversion rate, exceeding industry average by 15 percentage points
Generated $500K+ in subscription revenue within first year
Featured in Product Hunt as #2 Product of the Day with 2,000+ upvotes
Saved creators average of 5 hours weekly in content research and ideation

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