Alt Tech Stack

Buy, sell, and value collectible cards with ML-powered pricing

Consumer Services San Francisco, CA 51–200 employees Founded 2020 Privately Held

Alt operates a trading-card marketplace powered by machine learning models (scikit-learn, XGBoost, Random Forest, PyTorch, TensorFlow) trained on card valuation data. The tech stack reveals a company solving a real-time pricing problem at scale—Airflow, Dagster, and PySpark handle data pipelines feeding live pricing APIs, while payment and lending infrastructure (Stripe, credit decisioning) are now core products alongside the core marketplace. The product-heavy hiring mix (4 product roles) paired with active credit/lending projects signals expansion beyond collectibles into financed asset ownership.

Tech Stack 31 technologies

Core StackPython scikit-learn pandas Apache Airflow AWS Docker Pandas PySpark Dagster Selenium PyTorch TensorFlow MLflow Looker Tableau PostgreSQL React TypeScript Salesforce Stripe XGBoost AWS ECS Random Forest Polars SQL Puppeteer Beautiful Soup LightGBM GCP Outreach+1 more

What Alt Is Building

◆Challenges

Real-time pricing at scale
Improving model accuracy
Reducing infrastructure costs
Auction format gaps
Reducing pricing turnaround
Fast accurate underwriting
Improve portfolio outcomes
Maximizing cash advance disbursements
Expanding pricing coverage
Operational complexity

▲Active Projects

Real-time pricing at scale
Real-time pricing platform
Core card pricing model
Payment provider integrations
Human-in-the-loop pricing (hitl)
Data inputs & infrastructure
Credit decisioning engine
Cash advance & lending product experience
Portfolio performance & risk
Pricing api

Hiring Activity

Accelerating20 roles · 9 in 30d

Department

Product

Data

Engineering

Design

Executive

Finance

Marketing

Ops

Seniority

Senior

Mid

Junior

Lead

Manager

Staff

Notable leadership hires: Chief of Staff, Product Lead

Company intelligence

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About Alt

Alt operates a digital marketplace for collectible cards, enabling users to buy, sell, value, and securely store cards as alternative investments. Founded in 2020 and headquartered in San Francisco, the company serves retail and institutional card traders. The business model anchors on accurate, real-time pricing—critical for trust in a secondary market—and has evolved to include payment settlement, credit decisioning, and cash-advance products. The core challenge is scaling pricing accuracy and infrastructure as transaction volume and asset coverage grow.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Founded2020

Hiring MarketsUnited States

Frequently Asked Questions

What ML and data tools does Alt use?

Alt's stack includes scikit-learn, XGBoost, Random Forest, PyTorch, TensorFlow, pandas, PySpark, and MLflow for model training and monitoring. Data pipelines run on Apache Airflow and Dagster, with PostgreSQL for transactional data and Looker/Tableau for analytics.

What is Alt working on beyond card trading?

Alt is building credit decisioning, cash-advance lending, and portfolio risk analytics. Active projects include a lending product experience, credit underwriting, and payment provider integrations alongside the core real-time pricing platform.