Tools are chosen per problem, not sold as a fixed stack.
We've built on all of the below in production. None of it is chosen by default — every project starts with what the problem actually needs.
Frontend
- 01
React
The default for interactive product UI — huge ecosystem, easy to hire for.
- 02
TypeScript
Type safety catches integration bugs before they reach production.
- 03
Tailwind CSS
Fast, consistent styling without a bespoke CSS architecture to maintain.
- 04
Next.js
Reached for when a project needs real SSR/SSG, not just a client-rendered SPA.
Backend
- 01
Python / Flask
Lightweight, explicit, and fast to build a clean REST API on.
- 02
Node.js
Used when the team or ecosystem calls for a single-language stack.
- 03
PostgreSQL
Our default database — relational integrity matters more than it doesn't.
- 04
REST / GraphQL
REST by default; GraphQL when clients genuinely need flexible querying.
Cloud & DevOps
- 01
AWS
Broadest managed-service coverage for teams without dedicated infra staff.
- 02
Docker
Consistent environments from a developer's laptop to production.
- 03
Kubernetes
Reached for at real scale — not the default for every project.
- 04
Terraform
Infrastructure as code, so environments are reproducible and reviewable.
Data & AI
- 01
PyTorch
For custom model training when an off-the-shelf API isn't the right fit.
- 02
OpenAI / LLM APIs
For the majority of AI integration work that doesn't justify custom training.
- 03
Airflow
Scheduling and orchestration for real data pipelines, not cron jobs.
- 04
Redis
Caching and queues where latency actually matters.
Every one of these choices eventually resolves to something physical — a board, a rack, a link that either carries the packet or does not. We pick the layer above with that in mind.