
AI SaaS Platform
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Post a project like this- Posted:
- Proposals: 28
- Remote
- #4495009
- Open for Proposals







Description
https://github.com/stackblitz-labs/bolt.diy
Do NOT create a basic clone. Transform it into a commercial AI platform similar to Bolt.new, Lovable, Brmej.ai, and Hercules.app.
Stack:
- Next.js
- TypeScript
- TailwindCSS
- Node.js backend
- PostgreSQL or Supabase
- Clerk/Auth.js
- Stripe
- S3 or Cloudflare R2
Infrastructure:
- Ubuntu 22 VPS
- Docker + Docker Compose
- Nginx
- SSL
- Monitoring
- Backups
- Security hardening
- Production-ready scaling
- Compatible with Hetzner, Contabo, OVH, DigitalOcean
Core Features:
- Multi-language (English + Arabic)
- Responsive multi-screen support
- Authentication
- Subscriptions
- AI chat
- AI app builder
- File analysis
- Code generation
- Conversation history
- Token tracking
- Deploy system
- Project export system
Create a fully dynamic Super Admin Dashboard where EVERYTHING is configurable without code edits.
Admin must manage:
- Users
- Plans
- Tokens
- AI providers
- AI models
- AI services
- Routing rules
- Pricing
- Usage limits
- Deploy limits
- Publishing permissions
- Feature access
AI Providers Management:
Support:
- OpenAI
- Claude
- Gemini
- Groq
- DeepSeek
- OpenRouter
- Mistral
- Together AI
- Fireworks
- Ollama
Each provider must support:
- CRUD
- API keys
- Base URL
- Priority
- Fallbacks
- Health monitoring
- Usage/cost tracking
- Retry/timeout settings
- Model assignment
- Enable/disable
AI Models Management:
Admin can manage:
- Context length
- Max tokens
- Pricing
- Reasoning/speed/quality levels
- Vision/tools/files/coding support
- Provider assignment
- Limits
- Status
AI Routing Engine:
Dynamic routing rules from admin panel:
- Fallback providers
- Budget routing
- Fast-response routing
- Reasoning routing
- Automatic failover
AI Services:
Examples:
- App Builder
- SEO Writer
- AI Agent
- Code Generator
- Landing Page Generator
- File Analyzer
Each service supports:
- System prompts
- Assigned models/providers
- Temperature
- Limits
- Streaming
- File/image support
- Fallback models
WebContainer/Sandbox:
- Terminal
- Live preview
- npm install
- Isolated environments
- CPU/RAM limits
- Abuse protection
Deploy System:
Support one-click deployment to:
- Vercel
- Cloudflare Pages
- Netlify
Include:
- Deploy logs
- Rollbacks
- SSL
- CDN
- Environment variables
- Custom domains
Export System:
- ZIP export
- GitHub export
- React Native/Expo export
- Optional Flutter export
Publishing Assistant:
AI assistant that helps users:
- Generate app descriptions
- Privacy policy
- Terms of service
- SEO metadata
- Store listing content
- Publishing guidance for iOS & Android
All limits/features must be configurable per subscription plan from admin dashboard.
Deliver:
- Clean scalable architecture
- Full Docker setup
- docker-compose
- .env configs
- Deployment docs
- Production-ready code
Include estimated development time and total project price.
Yasser K.
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Log inClarification Board Ask a Question
-

Before proceeding, could you clarify how you would like the AI routing and billing logic to behave in the MVP phase? For example, should the system prioritize a single primary provider with fallback support initially, or should we implement full multi-provider dynamic routing (cost, speed, and quality-based selection) from the first version?
Also, for the Super Admin Dashboard, would you prefer a phased rollout where core controls (users, plans, and AI models) are built first, followed by advanced modules like routing rules, deployment controls, and feature-level permissions, or should everything be included in the initial production release? -

Hi,two important questions: are you expecting true isolated per-user execution environments (Kubernetes/container isolation) or lighter WebContainer-style browser sandboxes initially, and do you already have UI/UX designs/wireframes prepared or is the product architecture/design also part of the engagement?