Technologies
A pragmatic stack, chosen for your problem
We do not chase hype cycles. Every tool here earns its place under real workloads — and we will explain exactly why it fits your project.
10 categories · 57 entries
01Our approach
Boring technology wins
Most projects fail from over-engineering, not under-building. We pick the smallest stack that solves the problem well and scale it only when real usage demands it.
- 01
Proven over novel — we favor tools with a long production track record
- 02
Right-sized for the workload, from a single VPS to multi-region clusters
- 03
Open standards and portable choices so you are never locked in
- 04
Security and observability built in from the first commit
02The stack
Spec sheet, by category
What we reach for, and why. Each entry notes the job it does for us in production.
016 tools
Frontend
Interfaces that load fast, stay accessible, and feel effortless on every screen.
01.01
React
Component architecture
01.02
Next.js
App router & SSR
01.03
TypeScript
Type safety everywhere
01.04
Tailwind CSS
Design system styling
01.05
Vue
When it fits the team
01.06
Redux
Predictable state
026 tools
Backend
APIs and services that stay correct under load and keep integrating cleanly.
02.01
Node.js
High-throughput services
02.02
.NET
Enterprise stacks
02.03
Python
Data & AI workloads
02.04
NestJS
Structured APIs
02.05
GraphQL
Flexible data queries
02.06
REST
Contract-first APIs
036 tools
Mobile
Native-quality apps for iOS and Android shipped from one codebase.
React Native
Cross-platform
03.02
Flutter
High-performance UI
03.03
Dart
Flutter's language
03.04
Swift
Native iOS
03.05
Kotlin
Native Android
03.06
Expo
Fast iteration
046 tools
Database
Storage chosen for the workload — from transactions to analytics.
04.01
PostgreSQL
System of record
04.02
MySQL
Proven relational
04.03
MongoDB
Flexible documents
04.04
ClickHouse
Analytics at speed
04.05
Redis
Caching & realtime
pgvector
Vector search
056 tools
Cloud
Infrastructure designed for uptime, security, and a sane monthly bill.
05.01
AWS
Full service depth
05.02
Google Cloud
Data & ML strength
05.03
Azure
Enterprise integration
05.04
Vercel
Front-end platforms
05.05
Firebase
Realtime & auth
05.06
DigitalOcean
Predictable cost
066 tools
DevOps
Pipelines and automation that make releases boring and rollbacks painless.
06.01
Docker
Containers
06.02
Kubernetes
Orchestration
06.03
Terraform
Infra as code
06.04
GitHub Actions
CI/CD
06.05
Nginx
Reverse proxy
06.06
Linux
Servers
076 tools
Artificial Intelligence
LLMs and machine learning integrated where they actually save time.
07.01
OpenAI
LLM platform
07.02
Anthropic
Claude models
07.03
LangChain
LLM orchestration
07.04
Hugging Face
Open models
Python
ML pipelines
07.06
Pinecone
Vector database
084 tools
Realtime Systems
Live data that moves the moment something happens.
08.01
WebSockets
Bidirectional
08.02
Kafka
Event streaming
Pub/Sub
Reliable delivery
Redis Streams
Lightweight queues
096 tools
Testing
Automated checks that make regressions a thing of the past.
09.01
Jest
Unit & integration
09.02
Playwright
End-to-end
09.03
Cypress
Browser testing
09.04
Vitest
Vite-native
09.05
Storybook
Component review
09.06
Testing Library
Behavior-driven
105 tools
Monitoring
Visibility into health, performance, and cost — before users notice.
10.01
Grafana
Dashboards
10.02
Prometheus
Metrics
10.03
Datadog
Full observability
10.04
Sentry
Error tracking
10.05
New Relic
APM