02 / 04
Studio · Shipped products
Things I've built and shipped.
Laratta Labs is two things: an engineering practice for clients, and a studio that ships its own products. The studio is where the practice proves itself — each product here was conceived, designed, built, and shipped end to end, mostly solo, on the same AI-native tooling I bring to client work.
Product / 01 of 02
01
SquadUp
Live on the App StoreA social fitness platform — find local workouts, train with people near you, and let hosts get paid to run sessions.
A full product: a native iOS app, a GraphQL backend, Stripe payments and host payouts, and a public marketing site — designed and built end to end. The App Store screenshots below were generated with a scripted pipeline (XCUITest capture + automated device framing), the same kind of launch tooling I now reuse across products.


Spec
- Role
- Sole designer & engineer
- Surface
- iOS app · GraphQL API · marketing site
- Stack
- Swift / SwiftUI · TypeScript · Cloudflare · Stripe
- Pipeline
- fastlane · XCUITest screenshot capture
- Status
- Live on the App Store
Product / 02 of 02
02
YardPaint
Shipping · iOSA consumer AI app: take a photo of your yard, paint zones onto it, and get a photorealistic preview of it landscaped — plus the climate-appropriate plants to make it real.
The hard part isn’t the model call — it’s the product around it: a fast paint-generate-tweak loop, a two-step AI pipeline (plant selection, then image generation), and the cost controls, moderation, and rollback that let it run for real users. The pair below is one real generation: the same yard, same chairs, same fence — transformed.


Spec
- Role
- Sole designer & engineer
- Surface
- iOS app · Cloudflare Workers backend
- AI
- Two-step: Claude (plants) → gpt-image (render)
- Stack
- Swift 6 · SwiftData · Workers · D1 · R2
- Status
- Shipping — App Store submission
What it shows
A consumer AI product taken from idea to a real, monetizable app — the AI pipeline, the cost and safety controls, and the iOS craft to make the magic moment feel instant. Built on the same AI-native workflow I bring to client engagements.
The point
Anyone can describe what they’d build. These are things I actually finished and put in front of real users — which is the whole bet of working with me.
See the capabilities behind them →Next step
