App stacks for AI-built products, ready for production
We help you take apps and MVPs built with AI on Supabase, Firebase, PostgreSQL, Next.js, Vercel or Docker from a working prototype to something stable, secure and maintainable.
Building fast is easy now. Running it is the hard part
With AI coding tools, a working MVP or internal tool can exist in a weekend. The trouble starts when real users, real data and real money depend on it. As the project grows, teams can run into:
- exposed keys and weak access rules
- no backups or recovery plan
- database tables nobody fully understands
- slow queries and rising hosting costs
- deployments that only work from one laptop
- no logging, monitoring or alerts
- code that is hard to change without breaking something
- integrations that fail silently
D4Hub helps you review, secure and stabilize what you built, so it can grow without starting over.
Tools we can work with
Supabase
Supabase gives AI-built apps a Postgres database, authentication, storage and edge functions in one place.
We can review row-level security, auth flows, schema design, backups and edge functions before they become a risk.
Firebase
Firebase is often the first backend for mobile apps and quick prototypes.
We can help with security rules, Firestore data modelling, costs, Cloud Functions and a migration path when the app outgrows them.
PostgreSQL
PostgreSQL is the database underneath many modern stacks, Supabase included.
We can help with schema review, indexes, query performance, migrations, backups and restore tests.
Next.js and React
Next.js and React are the default choice of many AI coding tools for web apps and dashboards.
We can help with code review, refactoring, authentication, API routes, performance and upgrades.
Vercel
Vercel turns deploying front-ends and serverless functions into a one-click job.
We can help with environments, secrets, domains, preview deployments, function limits and costs.
Docker
Docker packages an app so it runs the same way on every machine and server.
We can help containerize your project, set up self-hosted deployments and make builds reproducible.
What a production-ready stack needs
Moving from prototype to production usually means taking care of access control and secrets, database design and migrations, backups and disaster recovery, staging and production environments, automated deployments, logging, monitoring and alerts, performance and cost control, documentation and handover.
The goal is not to rebuild what works. The goal is to make it safe to depend on.
When this support is useful, and what we can do
When this support is useful
- you built an MVP or internal tool with AI and real users now depend on it
- you are not sure your Supabase or Firebase security rules are right
- your app has no backups, or nobody has ever tested a restore
- deployments are manual or only one person knows how to do them
- the app is getting slower or more expensive to run
- you need to connect it to CRMs, payments or other business systems
- you want a second opinion before launching or raising money
- the code works, but nobody dares to change it
What we can do
- technical audit of code, data and infrastructure
- security review of auth, keys and access rules
- database schema and performance review
- backup and restore setup
- refactoring of fragile parts
- deployment pipelines and environments
- Docker and self-hosted setups
- API and business-system integration
- monitoring and alerting
- documentation and handover
We can support a launch, rescue a project in trouble or become the technical partner your product needs.