- Hello, good evening, are you open on Saturday?
- Hello.
- Yes, we are open on Saturdays from 8:30 AM to 7:00 PM.
- How much does the service cost? I'm near Virgen de Luján, 8th ring.
- To provide you with a quote, could you please share your location?
- Okay, I'll send it.
- Give me a moment to arrive.
- Alright, I'll be waiting.
- I'll give you the price shortly...
- The price of the service is USD 53.
Your web app in production in days — no technical debt, no surprises
Standardized stack Django 5 + PostgreSQL + Redis + n8n + n8n-MCP + Nginx, all in Docker, with built-in enterprise security and one-command deployment.
SYS.05-ACELERADOR-DESARROLLO-WEB

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Problems it solves
What you'll stop suffering from.
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Spending 2 months setting up Django + Postgres + Nginx + SSL + Docker before writing any value
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Different configurations for each project, each with its own deployment bugs
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Dependency on SaaS automation with per-operation charges
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High recurring costs of managed hosting
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Wanting to add AI to a project and finding out the stack doesn't support it
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Security audits that require re-implementing CSP, HSTS, rate limiting in every app
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Product captures
8 detailed views.
Complete stack diagram with the 9 pieces and the 4 deployment steps
Terminal with a real deployment from git clone to production in 4 min 12 s
AI flow (Claude Code / Cursor) ↔ n8n-MCP ↔ n8n ↔ Django
Visual comparison of times: traditional development vs. with the accelerator
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Capabilities
Everything the product can do.
Django Base
- Django 5.2+ with environment-adaptable unique settings
- Gunicorn 3 workers
- DRF ready
- Whitenoise with hashes and gzip
- Randomized Admin URL
- Configurable time zones and locales
Tailwind Daisyui
- Tailwind CSS v4.2 + DaisyUI v5.5
- Hot reload in dev
- Multistage build in prod
- No node_modules in final image
Postgresql Dual Mode
- Container mode or host mode
- Automatic init script
- Two DBs (Django + n8n) in a cluster
- Ready for backups
Redis
- Shared cache between workers
- In-memory sessions
- Django-axes backend
- Channel layer available
- No external port
Embedded N8N
- Own subdomain with SSL
- Custom image with Python 3.12
- Shares Postgres
- Versioned workflows in git
- Auto-import on startup
- Update with 1 command
- Stable encryption key
N8N Mcp
- MCP server over HTTP/SSE
- JWT authentication token
- Integrable with Claude Code, Cursor, Claude Desktop
- Tools: list/get/create/update/deploy/execute workflow, validate_node, search_nodes, n8n_executions
- Roadmap: autonomous AI agents
Nginx Lets Encrypt
- Reverse proxy with HTTPS
- Dynamically generated config
- Multi-domain (django + n8n)
- Strict security headers
- gzip_static on
- Automatic SSL renewal
Enterprise security
- HSTS 1 year + subdomains + preload
- Strict CSP (relaxed only in DEBUG)
- django-axes with Redis backend
- Randomized admin URL deindexed
- DRF throttling
- SECRET_KEY + tokens generated by wizard
- JWT with blacklist and rotation
Docker Compose Profiles
- Conditional Postgres (container/host)
- Conditional n8n
- Conditional n8n-MCP
- Redis + Django always active
- Healthchecks + restart policies
- Persistent volumes
Wizard Setup
- make setup generates interactive .env
- Generates SECRET_KEY, N8N_ENCRYPTION_KEY, MCP_AUTH_TOKEN
- Random admin URL
- Configures main domain + n8n
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Stack
What it's built with.
Framework
Wsgi
Database
Cache Sessions
Css
Static
Automation
Ai Channel
Security
Proxy
Orchestration
Hot Reload Dev
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Differentials
Why this and not something else.
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vs. starting from scratch: save 1-2 months of infrastructure per project
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vs. SaaS (Heroku/Render/Vercel): data and code on your own VPS, no charge per user
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vs. no-code (Bubble/Retool): you have the code, extensible, AI can read it
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vs. Zapier/Make: embedded n8n, no charge per operation, with Python in Code nodes
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vs. Django alone: n8n-MCP allows AI to write workflows in your infrastructure
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vs. generic boilerplates: fine-tuned in 4 real projects in production
Something like this for your business?
A 30-minute call to see if your case is a good fit — no strings attached, no pitch.