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GoFundMe Tech Stack

Crowdfunding platform processing billions in charitable donations

Fundraising Redwood City, CA 201–500 employees Privately Held
gfme.co LinkedIn

GoFundMe operates a donation platform handling over $15 billion in cumulative raises across 200+ million donors. The tech stack reveals a modern, data-forward organization: React/Node.js frontend, GraphQL APIs, Elasticsearch for search, and a heavy cloud-native backend (AWS, Kubernetes, Snowflake, Databricks). Active projects signal a shift toward ML-driven features (donation amount optimization, personalized checkout) and real-time analytics, while pain points center on scaling data pipelines and automating financial workflows—suggesting the platform is moving beyond simple fundraising tools into predictive and compliance-heavy territory.

Tech Stack 119 technologies

Core StackCursor React JavaScript TypeScript Node.js GraphQL Elasticsearch Docker AWS Bitbucket Next.js PHP Laravel MySQL MongoDB Looker Python Databricks Kubernetes FastAPI Terraform Snowflake TensorFlow PyTorch scikit-learn NumPy pandas Salesforce Neo4j HTML/CSS+87 more
AdoptingCursor

What GoFundMe Is Building

◆Challenges

  • Scaling data platform for real-time insights
  • Automating revenue recognition
  • Conversion optimization
  • Financial crime risk
  • Protecting donors from financial crimes
  • Maintaining compliance
  • Performance and cost optimization
  • Improving data governance compliance
  • Complex third-party integration challenges
  • Modernizing legacy data ecosystem

▲Active Projects

  • Scalable machine learning training and inference pipelines
  • Donation pricing and amount optimization
  • Designing real-time reporting and experimentation systems
  • Building data governance frameworks
  • Integrations platform development
  • Personalized donation checkout experience
  • Modernizing data ecosystem to cloud-native platform
  • Ticketing and registration workflows
  • Scalable data models for finance
  • Campaign experiences platform

Hiring Activity

Accelerating40 roles · 30 in 30d

Department

Engineering
10
Data
6
Security
5
Marketing
4
Product
4
Finance
2
Legal
2
Ops
2

Seniority

Senior
12
Staff
12
Junior
5
Mid
5
Manager
3
Principal
2
Director
1
Lead
1
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About GoFundMe

GoFundMe is a crowdfunding marketplace connecting organizers seeking funds with a global donor base. The platform enables individuals and organizations to create campaigns, share their stories, and collect donations for personal emergencies, community projects, and charitable causes. Operations span five countries (United States, Argentina, Australia, Ireland, United Kingdom) with a 201–500-person team headquartered in Redwood City, California. The business model combines consumer-facing donor acquisition with creator tools, supported by a growing data and machine-learning infrastructure for conversion optimization and fraud prevention.

HeadquartersRedwood City, CA
Company Size201–500 employees
Hiring MarketsUnited States, Argentina, Australia, Ireland, United Kingdom

Frequently Asked Questions

What tech stack does GoFundMe use?

Frontend: React, Next.js, JavaScript, TypeScript, HTML/CSS. Backend: Node.js, PHP, Laravel, GraphQL, FastAPI. Data: Elasticsearch, MySQL, MongoDB, Neo4j, Snowflake, Databricks. Infrastructure: AWS, Kubernetes, Docker, Terraform. Analytics and ML: Looker, TensorFlow, PyTorch, scikit-learn, pandas, NumPy.

What is GoFundMe working on?

Key projects include ML-driven donation amount optimization, personalized checkout experiences, real-time reporting and experimentation systems, data governance frameworks, cloud-native platform modernization, and financial crime detection and compliance automation.

How this profile is built

GoFundMe's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.