Case Study
SocialWeave AI— AI-powered social media content generator for Twitter, Instagram, and LinkedIn
AI-powered social media content generator for Twitter, Instagram, and LinkedIn
SaaS / Creator Tools
Web Application
~2 Months
Full-Stack Developer
Project Overview
Overview
SocialWeave AI is an AI-powered SaaS platform that helps users generate platform-optimized social media content for Twitter, Instagram, and LinkedIn. The platform combines AI content generation, live post previews, subscription billing, and content history management into a single workflow.
Category
Type
AI-powered social media content generator for Twitter, Instagram, and LinkedIn
Tech Stack
Problem & Solution
The Problem
Content creators and businesses often struggle to create high-quality content consistently across multiple social media platforms.
Impact — Content creators and businesses often struggle to create high-quality content consistently across multiple social media platforms.
The Solution
Built an AI-powered content generation platform that transforms a single idea into ready-to-publish social media content with live platform previews.
The system was structured to ensure performance, scalability, and ease of use.
Features
Key Features
AI-powered social media content generation
Generates platform-optimized content for Twitter, Instagram, and LinkedIn from a single user prompt using Google Gemini AI.
Twitter, Instagram, and LinkedIn post support
Supports content generation tailored to the conventions and tone of each major social media platform.
Realistic live platform previews
Renders generated content inside accurate platform mock-up components so users can verify appearance before publishing.
Points-based content generation system
Each generation consumes points from the user's balance, creating a transparent usage model with clear upgrade incentives.
Stripe subscription billing integration
Manages subscription tiers and payment processing via Stripe Checkout and webhooks, with automatic points allocation on successful payment.
User authentication and account management
Handles sign-up, sign-in, and user lifecycle management via Clerk, with webhook-based synchronization to the application database.
Content history and reuse dashboard
Stores every generated piece of content in PostgreSQL and surfaces it in a history sidebar for easy retrieval and reuse.
Automated onboarding email system
Sends a welcome email via Mailtrap automatically when a new user registers.
Documentation and help center
Built-in /docs page covering Getting Started, platform-specific guides, and an API Reference.
Tech Stack
Technologies Used
Frontend
Backend
Database & Services
Integrations
Results & Impact
Results & Impact
The system delivered measurable improvements across key areas.
Challenges
Challenges & How I Solved Them
ChallengeAI Content Formatting — Building platform-specific content generation workflows tailored for Twitter, Instagram, and LinkedIn.
SolutionBuilt platform-specific content generation workflows tailored for Twitter, Instagram, and LinkedIn.
ChallengeSubscription & Points Management — Implementing automated billing, subscription handling, and points allocation.
SolutionImplemented automated billing, subscription handling, and points allocation using Stripe webhooks.
ChallengeUser Synchronization — Creating reliable synchronization between Clerk authentication and the application database.
SolutionCreated reliable webhook-based synchronization between Clerk authentication and the application database.
ChallengeLive Platform Previews — Designing reusable components that accurately simulate social media post layouts.
SolutionDesigned reusable preview components that accurately simulate social media post layouts.
Key Insights
Key Insights
This project reinforced important principles that shape how I approach every build.
Webhook-first identity synchronisation (Clerk → DB) is far more robust than polling or lazy-create patterns.
A points economy is an effective way to gate AI usage costs while still offering a free tier.
Building realistic preview components early accelerated the product feel significantly.
Drizzle ORM's type-safety caught several schema mismatches at compile time.
Visual Showcase
Interface & Screens
Let's Work Together
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