From 0 to Revenue: How I Built a Monetizable AI App This Week—No Code Link: https://www.onspace.ai/?via=vibecoders Hey everyone, I’m Alex. This week I went from zero to a fully shippable, monetizable app—Invoice AI—without writing a single line of code. I used natural language + OnSpace’s agentic builder to recreate a production-grade app end to end. Here’s exactly how I did it, what worked, and what I’d improve next. What I built - Invoice AI App: A clean, focused invoicing experience with AI assistance. - Fully no-code: All instructions were written in plain English. - 1:1 replication: Layouts, flows, and micro-interactions closely matched the reference. - AI features: Smart field suggestions, auto-fill, and context-aware templates. - IAP ready: In-app purchases integrated for subscriptions and upsells. - Cross-platform: iOS, Android, and Web via our React Native + Expo stack (handled by OnSpace under the hood). My best-practice workflow (fast and repeatable) 1) Capture the source app clearly - I mirrored my iPhone to Mac using QuickTime Player. - I recorded and screenshotted every key screen and transition. - Why: this gives the model exact visual context and helps me map app logic cleanly. 2) Define the core structure up front Most “template-style” apps share a familiar skeleton: - Onboarding Page - Subscription Page (paywall) - Main Function Page My build order for speed: 1) Main Function, 2) Onboarding, 3) Subscription. 3) Write a plain-English first prompt - I described every main user path in simple language. - I attached the first screenshot for each path. - Goal: get the model’s first version structurally correct. Then iterate. - Next passes: for each branch/sub-flow, I added detailed screenshots and notes to refine UI logic and edge cases. 4) Rebuilding motion and onboarding polish - Tip: break complex animations into discrete frames. - I provided separate images and short descriptions for each state/transition.