AI Startup Stack
Backend-as-a-service + LLM orchestration + visual AI flows + workflow automation + local LLM runtime. Ship your AI product fast on your own infrastructure.
What this stack is
AI Startup Stack is the backend infrastructure pack for founders building AI products in 2026. One-click deploys Supabase (Postgres + auth + storage + realtime), local LLM runtime (Ollama), visual AI app builder (Flowise), full LLMOps platform (Dify), workflow automation (n8n), and a ChatGPT-style frontend (Open WebUI) — everything you need to ship an AI SaaS without building infrastructure from scratch or burning runway on OpenAI bills.
For the hosting provider, this is a "founder pack" product: sell to indie hackers, early-stage AI startups, hackathon teams, and AI-focused consultancies who want production-grade infra without DevOps work.
What it's for
- Ship AI SaaS in days, not months — Supabase handles users + DB + storage + realtime; Dify orchestrates the LLM workflows; Flowise lets non-engineers prototype agents
- Cost containment vs OpenAI/Anthropic bills — Ollama on the same VPS for cheap inference; route expensive prompts to cloud APIs only when needed
- Workflow automation that talks to AI — n8n connects 400+ services (Stripe, GitHub, Slack, your CRM) to LLM steps
- Multi-LLM experimentation — Open WebUI lets the team compare models, prompts, and RAG configs side-by-side
- Production AI agent platform — Dify provides observability, prompt versioning, dataset management, evaluation
Who it's for
- Indie AI hackers validating a product idea who don't want $500/mo of OpenAI bills before validation
- Early-stage AI startups (pre-seed / seed) needing production infra without an SRE on staff
- AI consultancies / agencies running multiple client POCs from one VPS, isolating each as a Dify workspace
- Hackathon teams wanting a real backend behind the demo
- Researchers + small AI labs prototyping retrieval-augmented agents
Apps in this stack
| App | Role |
|---|---|
| Supabase | Backend-as-a-service: Postgres + Auth + Storage + Edge Functions + Realtime |
| Open WebUI | ChatGPT-style frontend, multi-user, conversation history, prompt library |
| Ollama | Local LLM runtime — cheap inference for development & low-volume prod |
| n8n | Workflow automation: 400+ integrations + LLM nodes |
| Flowise | Visual LLM app builder — drag-and-drop chains, agents, RAG flows |
| Dify | LLMOps platform: prompt versioning, datasets, eval, monitoring, public APIs |
Sizing & deployment
- Recommended VPS: 16 GB RAM, 8 vCPU, 150 GB NVMe storage
- GPU recommended for inference on the same VPS (RTX 4060 / L4). Without GPU, route to cloud LLM via Dify
- Database: shared Postgres instance via Supabase (no separate DB container needed)
- Deploy time: ~30-40 min one-click, all SSL automatic via Let's Encrypt
- Backup profile: nightly Postgres dumps + Supabase storage rsync + n8n credentials export
Why hosters sell this
This stack lets you (hosting provider) target the fastest-growing developer segment of 2026: AI builders. They're currently spending money on Vercel + Supabase Cloud + OpenAI + Pinecone — typically a fragmented set of subscriptions that adds up faster than expected once they hit production traffic. This stack replaces all of it with one self-hosted VPS.
Common resale angles validated in early hoster conversations:
- Solo founder pack — single VPS, modest GPU, one Dify workspace, deploy your AI MVP this weekend
- Studio plan — 3-5 person team, larger VPS, GPU node, multiple isolated workspaces
- Agency plan — consultancies running multiple client POCs from one VPS, isolated as separate Dify workspaces
Stack retail pricing is set by the hoster based on their cost stack (VPS + GPU + Bluix license + support). The Bluix module license layer is detailed at bluix.net/bluixapps.php; stack retail pricing pending GPU partner agreement — contact sales for a current cost-build model.
The pitch is "your entire AI infra stack for the price of one cloud LLM subscription". Easy upsell from your existing developer customer base — every developer customer has an AI project they want to ship.
GDPR & compliance profile
- All compute on the VPS by default — cloud LLM endpoints opt-in via Dify/Flowise config
- Supabase auth supports OAuth (Google, GitHub) + SAML SSO + email/password
- Dify provides full audit trail on prompt usage, dataset access, agent execution
- BYOK pattern: developer brings their own OpenAI/Anthropic key if needed, billing stays with them
- EU-resident deployment options across all major hosters in the catalog