The stack, with the reasons attached
Everyone lists the same logos. What matters is why a tool was chosen for your problem — and when we'd argue against it.
Frontend
Server Components cut client JavaScript to a fraction of an equivalent single-page app — measurably faster on the mid-range Android devices most of your customers actually hold.
- React
- Next.js
- TypeScript
- Tailwind CSS
- Playwright
Backend
Node where the type system should span the whole stack and share one schema. Python where the work is data, ML or scientific computing, and the libraries are simply better.
- Node.js
- Python
- FastAPI
- Express
- tRPC
- GraphQL
Data
Postgres by default. It handles relational data, JSON documents, full-text search and vector similarity — most products never need a second database, and every extra one is another thing to operate.
- PostgreSQL
- pgvector
- Redis
- MongoDB
- Drizzle
- Prisma
Cloud & DevOps
Infrastructure as code from the first commit, in your account rather than ours. Every environment reproducible, every change reviewed, nothing configured by hand and forgotten.
- AWS
- Vercel
- Docker
- Terraform
- GitHub Actions
- Cloudflare
AI
Model-agnostic behind a single interface, with evaluations in CI. When a provider changes pricing or a better model ships, that's a config change rather than a rewrite.
- Claude
- OpenAI
- Gemini
- LangGraph
- pgvector
- Pinecone
Quality & observability
Tests and tracing ship with the feature, not in a hardening phase that never gets scheduled. When something breaks at 2am, the trace should name the cause.
- Vitest
- Playwright
- Sentry
- OpenTelemetry
- Grafana
Every tool hereearns its place, orit does not ship.
Every tool hereearns its place, orit does not ship.
The decisions behind the logos
Judgement is the part you're actually buying. Here is ours, in advance.
