// Technology

Stack

We are not tied to any tool. We choose the right technology for each problem. What matters is that the system works, remains maintainable, and scales.

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Integration

Tools for connecting systems and automating workflows.

Zapier

Fast integrations for simple use cases and prototypes.

Make

Complex workflows with conditional logic and multiple branches.

n8n

Self-hosted when full control and high volume matter.

REST APIs

Direct integration when no-code tools are not enough.

Webhooks

Real-time events across systems.

GraphQL

Flexible APIs when the frontend needs granular control.

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Data

Data storage, transformation, and querying.

PostgreSQL

A proven, robust relational database.

Supabase

Managed Postgres with authentication and real-time features included.

Google Sheets

When the team needs to edit data directly.

Airtable

A visual database for non-technical teams.

BigQuery

Analytics over large data volumes.

Retool

Fast internal tools and dashboards.

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Product

Tools for management, documentation, and communication.

Notion

Structured documentation and knowledge bases.

Slack

Real-time communication and notifications.

Linear

Project management for technical teams.

Figma

Interface design and prototyping.

Loom

Video documentation when text is not enough.

Calendly

Automated scheduling without email ping-pong.

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AI

Artificial intelligence models and tools.

OpenAI

GPT for text generation, analysis, and classification.

Claude

An alternative with long context and strong reasoning.

LangChain

LLM orchestration with tools and memory.

RAG

Retrieval that grounds models in proprietary data.

Pinecone

A vector database for semantic search.

Whisper

Audio-to-text transcription.

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Infrastructure

Infrastructure, deployment, and monitoring.

Vercel

Deployment for frontends and serverless functions.

AWS

When the solution needs custom infrastructure.

Docker

Containers that keep environments consistent.

GitHub Actions

Automated CI/CD on every push.

Sentry

Error tracking and performance monitoring.

Datadog

Full observability for complex systems.

// Philosophy

The right tool for the right problem

We are not loyal to any particular technology. We use no-code when it accelerates delivery, code when control matters, and managed services when infrastructure overhead is not worthwhile. The goal is to solve the problem, not to use the tool of the moment.

Technology stack | Syntropy Labs