20
Got tired of writing auth and payments logic again and again so we made this
r/IndieDev
7/8/2025
Content Summary
The post introduces Tile, an AI-powered app builder that addresses the gap between prototype creation and production-ready mobile apps. It combines visual design (similar to Figma) with domain-specific AI agents to handle complex tasks like authentication (Supabase), payments (Stripe), and backend setup. Tile generates React Native code and manages deployment without requiring DevOps expertise. The tool targets indie developers and teams struggling with repetitive coding tasks and complex deployments. Comments show mixed reactions, with some questioning its authenticity while others discuss technical implementation alternatives.
Opinion Analysis
Mainstream opinion sees value in automating repetitive development tasks, with positive reception for solving auth/payment complexities. However, skepticism exists regarding:
- Authenticity of claims (user questions OP's credibility)
- Technical approach vs building libraries (comment suggests creating reusable libs instead)
- Overuse of buzzwords vs actual innovation Conflicting views emerge between those appreciating end-to-end solutions and developers preferring modular control. Debate centers on AI's role in app development - whether it's genuine automation or just repackaged existing tools.
SAAS TOOLS
SaaS | URL | Category | Features/Notes |
---|---|---|---|
Tile | https://www.producthunt.com/products/tile-2 | AI App Builder | Visual design (Figma-like), AI agents for auth/payments/Supabase/Stripe integration, React Native code generation, DevOps-free deployment |
Supabase | Backend-as-a-Service | Auth flows, backend setup | |
Stripe | Payments | Payment processing integration |
USER NEEDS
Pain Points:
- Existing AI app builders create prototypes but fail at real implementation
- Repetitive manual coding for auth/payments/backend
- Dependency on ChatGPT snippets and developer assistance
- Complex DevOps setup for app deployment
Problems to Solve:
- Bridging gap between prototype and production-ready apps
- Automating repetitive development tasks
- Simplifying backend service integrations
- Eliminating need for DevOps expertise
Potential Solutions:
- Visual development interface with AI-powered code generation
- Domain-specific AI agents for common services (Auth, Stripe)
- Automated deployment pipelines
- Pre-configured integrations with services like Supabase
GROWTH FACTORS
Effective Strategies:
- Targeting underserved indie developers/solo founders
- Focusing on production-ready solutions vs prototypes
Marketing & Acquisition:
- Product Hunt launch strategy
- Positioning as "Figma + AI dev team + Vercel"
- Targeting users stuck in "90% done" phase
Monetization & Product:
- Solving critical pain points (auth/payments)
- Offering full-stack solution from design to deployment
- Potential freemium model (visual builder + paid deployment)
User Engagement:
- Community building through Reddit/Product Hunt
- Direct engagement with developer communities
- Positioning as alternative to ChatGPT snippets