Logo
//002Virlo.ai – AI-Powered Video Repurposing Platform(Live)

Virlo.ai – AI-Powered Video Repurposing Platform

Timeline
4 Weeks – MVP to Production
Client
Virlo.ai
Status
Live
Open Site
Loading preview...
Technologies
Next.js 14TypeScriptNode.jsPythonFastAPISupabasePostgreSQLAI APIsStripeCloud Storage

Project Details

Platform:Web / SaaS
Target:Content creators, marketing teams, and agencies
Company:Virlo.ai

Project Overview

Virlo.ai was built to solve a growing challenge in content creation: manually repurposing long-form video into short clips is repetitive, time-consuming, and difficult to scale. The platform centralizes video processing, AI-driven segmentation, and clip management into a single workflow, enabling creators to focus on distribution and growth rather than editing.

Mission Statement

The mission was to build a reliable, production-ready platform that automates video repurposing without sacrificing creative control. The system needed to process videos efficiently, surface meaningful moments, and deliver a clean, intuitive interface that works for both individual creators and teams.

Philosophy

Virlo.ai is built around the idea that creators should spend time publishing and engaging, not editing. The platform treats AI as a productivity multiplier — handling repetitive video tasks while leaving creative decisions in the hands of the user.

Design Principles

  • Automation over manual workflows
  • Speed without sacrificing reliability
  • Simple interfaces for complex systems
  • Scalable infrastructure from day one
  • Clear feedback during processing and generation

Technical Architecture & Innovations

Core Technology Stack

  • - Next.js 14 – Server-rendered SaaS frontend
  • - TypeScript – Type-safe application logic
  • - Node.js – Core application backend
  • - Python & FastAPI – Video processing and AI services
  • - Supabase – Authentication, database, and storage
  • - PostgreSQL – Structured data storage
  • - Stripe – Subscription and billing system
  • - Cloud storage – Scalable video asset management

Development Phases

Foundation
Core SaaS architecture and user management
  • Authentication and user onboarding
  • Database schema and API foundations
  • Basic dashboard and navigation
Video Processing Pipeline
Reliable upload and processing infrastructure
  • Large file uploads and validation
  • Background video processing jobs
  • Processing status and progress indicators
AI Clip Generation
AI-driven analysis and short-form clip creation
  • Video segmentation logic
  • Clip extraction and preview
  • AI-based moment detection
Monetization & Launch
Subscription model and production deployment
  • Stripe subscription integration
  • Usage limits and plan enforcement
  • Production deployment and scaling

Key Features

AI-powered video segmentation and clipping
Upload and processing pipeline for long-form videos
Short-form clip generation for social platforms
Web-based SaaS dashboard
User authentication and account management
Subscription-based billing system
Clip preview, download, and management
Scalable backend for concurrent video processing
Responsive and creator-friendly UI

Results

Launched a production-ready SaaS platform within 4 weeks
Significantly reduced manual video editing time for creators
Enabled rapid generation of multiple clips from a single video
Built a scalable foundation for future AI enhancements
Prepared the platform for early customer onboarding and growth

Hey! 👋 I'm Ali.
Most agencies promise the world and ship nothing.
We build reliable software.