Sfj CodeVerse
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People think building a mobile app costs $20,000.
I built a fully functional one — authentication, backend, push notifications, real-time data, live on TestFlight — for under $500 in tools.
Here is the full stack:
React Native and Expo for the app itself — free and open source. Supabase for the entire backend including auth and database — $25 a month. Railway for the custom booking API — $5 a month. Expo push notifications — free. Claude and Claude Code for architecture, components, and debugging — $20 a month. Apple Developer account — $99 a year.
Total monthly tool cost: $50. First year total: $699.
The project took 7 days from spec to TestFlight deployment. Eighteen months ago the same project would have taken me three weeks.
Claude Code did not replace my skills. It removed the friction between having an idea and having working code — the hours spent reading documentation, debugging syntax errors, and rebuilding components that were not quite right. I now spend that time on the things that actually need my judgment.
If you have been quoted $15,000 to $25,000 for a mobile app — that quote has agency overhead built into every line. A solo AI developer with the right stack builds the same product for significantly less and often delivers it faster.
DM me "app" and I will tell you what your idea would cost to build. No markup, no inflated quote, just an honest number.
17/04/2026
The exact AI stack I use for every client project — every tool, what it does, and why I chose it.
Claude handles all the AI reasoning and generation. Make.com connects everything together and runs the automation workflows. Supabase stores and syncs the data. Railway hosts the backend services. React and Claude Code build the frontends in a fraction of the time. n8n handles projects where clients need full data ownership. Notion and Airtable give non-technical clients a clean interface on top of everything running underneath.
Total monthly cost to run this across multiple client projects: under $150.
The principle behind every tool decision: own the logic, rent the infrastructure. The AI reasoning and business logic lives in code I control. The infrastructure is rented from reliable providers so I can focus on building rather than maintaining servers.
Simple stack. Deep understanding. That beats a complex stack you half-understand every single time.
DM me "stack" and I will send you a real example of a client project built with this exact setup.
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