Case Study: ChannelBoostAI
From data noise to creator clarity. Building a SaaS platform to provide AI-powered growth strategies for YouTube creators.
The Problem: The Creator's Dilemma
YouTube creators are drowning in data but starved for wisdom. They have access to views and likes but lack the tools to translate that raw information into a clear content strategy, leading to guesswork, burnout, and stalled channel growth.
The Solution: An AI-Powered Co-Pilot
The answer was ChannelBoostAI, a SaaS platform designed to be a creator's AI-powered strategist. I built a full-stack application from the ground up to listen to the subtle signals within a creator's content and audience, and transform them into an actionable growth plan.
The Architecture & Tech Stack
The platform was engineered to integrate multiple services into a seamless user experience.
The Brain (Python & FastAPI)
A robust and scalable backend built with Python and FastAPI handles the heavy data processing. PostgreSQL serves as the data foundation, with database schemas managed through version-controlled Alembic migrations.
The User Experience (React & Vite)
The UI was crafted with React and Vite for a fast, modern single-page application experience.
Key Integrations & DevOps
- User Management: A secure authentication system using fastapi-users provides registration, login, and email verification.
- Data Sourcing: The YouTube Data API v3 is the primary source for channel metadata, video statistics, and transcripts.
- Email Communication: SendGrid is integrated to handle all transactional emails.
- Deployment: The application is fully containerized with Docker and deployed through a CI/CD pipeline. The FastAPI backend runs on Render, while the React frontend is served globally via Vercel.
The Outcome: A Tool That Delivers Confidence
The result is channelboostai.com — a live SaaS application that does more than just display data. It decodes it. A key feature is the AI-Powered SEO Toolkit, which analyzes video transcripts with an LLM to suggest highly relevant tags and titles. The project successfully integrates user authentication, third-party APIs, database management, and a dual-platform cloud deployment strategy.
Tech Stack
Python FastAPI React Vite PostgreSQL Alembic Docker Render Vercel YouTube Data API