AI Video Generator
A native iOS and web AI video generator built on a real production pipeline: a job queue, a credit ledger, and two payment processors, not a prompt box.

The Problem
Most AI video tools are a prompt box wrapped around a single API call. That breaks down the moment generation takes real time to render, more than one person needs to pay, or the same product has to run on both a phone and a browser.
What I Built
I built and shipped this end to end: product, both clients, backend, and payments. Starrd lets someone pick a scene template, upload one or two photos, and get a cinematic clip back with no prompt engineering required. Native SwiftUI on iOS and a Next.js web app share a single Supabase backend. Generation wraps Seedance 2.0 and runs through a job queue, since a clip takes real time to render rather than returning in one request. A credit ledger tracks usage against credit packs starting at $5.99, one credit per video, sold through Stripe on web and RevenueCat on iOS.
Selected Work


How It Works
Outcome
A real production pipeline end to end: a native client and a web client on shared infrastructure, a job queue for long-running generation, a credit ledger, and two payment processors kept in sync. No user, revenue, or download numbers are published.
My role
Solo. Independent product — design, engineering, infrastructure, and launch.