Común Tech Stack

Digital banking platform for Latin American immigrants

Financial Services New York, NY 11–50 employees Founded 2021 Privately Held

Común operates a fintech platform built on React Native + PostgreSQL + GraphQL, serving Hispanic immigrants transitioning to digital banking. The tech stack reveals a data-heavy operation: Looker, Metabase, Tableau, scikit-learn, and TensorFlow alongside active adoption of OpenAI and LangChain suggest an aggressive pivot toward ML-driven risk and fraud detection. Project list (fraud models, credit scoring, AI agents, A/B testing) and hiring concentration (data team at 4 headcount, senior-weighted across roles) confirm this is an ML and analytics-first scaling phase, not a feature-shipping one.

Tech Stack 23 technologies

Core StackFigma React Native TypeScript GraphQL Python PostgreSQL Looker Metabase Tableau pandas scikit-learn TensorFlow Expo SQL R

AdoptingOpenAI LangChain Zapier n8n

What Común Is Building

◆Challenges

Transition from cash-based system to digital economy
Scale efficiently
Detect and prevent fraud
Optimizing acquisition and retention
Fraud loss reduction
Integrating additional banking features
Ensuring robustness and scalability
Manual workflows
Customer bottlenecks
Friction points limiting activation

▲Active Projects

Building new financial offerings
Designing personalized product architecture
Scalable operations systems
Ai-powered agents and workflows
Fraud detection model development
Predictive system for risk scoring
Data pipeline for scalable analytics
Fraud detection system
Credit and risk-scoring models
A/b testing framework

Hiring Activity

Decelerating10 roles · 2 in 30d

Department

Data

Product

Engineering

Marketing

Security

Seniority

Senior

Mid

Director

Lead

Notable leadership hires: Brand Lead

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About Común

Común provides digital banking for Hispanic immigrants in the U.S., removing friction from traditional account opening (accepting 100+ Latin American ID types), cash deposits (90K+ nationwide locations), and cross-border transfers (17 countries at competitive rates). The product includes 24/7 bilingual support. Founded in 2021 and headquartered in New York, the company operates as a small, senior-heavy team focused on fraud prevention, credit modeling, and operational scalability—core requirements for regulated financial services at thin margins.

HeadquartersNew York, NY

Company Size11–50 employees

Founded2021

Hiring MarketsUnited States, Mexico

Frequently Asked Questions

What tech stack does Común use?

React Native, Expo, TypeScript, GraphQL for frontend; Python, PostgreSQL for backend; Looker, Metabase, Tableau, pandas, scikit-learn, TensorFlow for data and ML; currently adopting OpenAI and LangChain.

What is Común working on?

Fraud detection and credit-risk scoring models, AI-powered workflow agents, personalized product architecture, scalable analytics pipelines, and A/B testing infrastructure—reflecting a focus on risk mitigation and operational efficiency.