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Muck Rack Tech Stack

AI communications platform for media monitoring and PR workflow automation

Software Development Miami, Florida 201–500 employees Founded 2009 Privately Held
muckrack.com LinkedIn

Muck Rack operates a data-intensive comms platform built on Kafka, Elasticsearch, and PostgreSQL, serving thousands of companies and journalists. The stack—anchored in real-time event streaming (Kafka, Kinesis) and search infrastructure (Elasticsearch, OpenSearch)—supports their core product around media monitoring and AI-driven insights. With 20 engineering hires against 12 sales roles and active projects spanning automation, reporting infrastructure, and customer expansion, the company is scaling product depth while addressing internal pain points around reporting quality, net revenue retention, and time-to-value.

Tech Stack 45 technologies

Core StackSalesforce Slack Gong Python Kafka gRPC MySQL PostgreSQL Elasticsearch Django Vue ClickHouse Celery Kubernetes Terraform AWS AWS RDS CircleCI Jenkins Docker Google Drive LinkedIn Sales Navigator Kinesis Protocol Buffers OpenSearch AWS EKS IAM VPC Route 53 Argo CD+15 more

What Muck Rack Is Building

◆Challenges

  • Expanding revenue within existing customer base
  • Maintaining reporting infrastructure
  • Improving reporting and insights capabilities
  • Transitioning it operations from external provider
  • Low net revenue retention
  • Slow time to value
  • Supporting distributed workforce efficiency
  • Improving service quality and operational visibility
  • Improving data quality and enrichment workflows
  • Expanding enterprise sales

▲Active Projects

  • Pipeline of expansion opportunities across existing enterprise customers
  • Migration of manual workflows into automated processes
  • Automation of content acquisition and delivery
  • Reporting and insights feature development
  • Improving reporting infrastructure
  • Transitioning it operations to in-house
  • Automating onboarding and offboarding processes
  • Optimizing saas license usage
  • Post-sale lifecycle strategy
  • Advocacy engine

Hiring Activity

Accelerating50 roles · 45 in 30d

Department

Engineering
20
Sales
12
Marketing
6
Finance
4
Ops
4
Data
2
Support
1

Seniority

Senior
26
Mid
16
Manager
5
VP
2
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About Muck Rack

Muck Rack is a communications platform combining media monitoring, social listening, and generative AI to help organizations track brand presence, understand media sentiment, and automate PR workflows. The product serves mid-market and enterprise customers who need to manage reputation and demonstrate impact across their communications function, alongside a free tier for journalists. Founded in 2009 and headquartered in Miami, the company operates across the United States, Ireland, United Kingdom, Bulgaria, and Canada. Active projects show a focus on automation—content acquisition, onboarding workflows, and license optimization—alongside infrastructure work to stabilize reporting and transition IT operations in-house.

HeadquartersMiami, Florida
Company Size201–500 employees
Founded2009
Hiring MarketsUnited States, Ireland, United Kingdom, Bulgaria, Canada

Frequently Asked Questions

What tech stack does Muck Rack use?

Muck Rack's core stack includes Kafka and Kinesis for real-time data, Elasticsearch and OpenSearch for search, PostgreSQL and MySQL for relational storage, ClickHouse for analytics, and Django + Vue for the application layer. Infrastructure runs on AWS (EKS, RDS, VPC) with Kubernetes orchestration and CircleCI/Argo CD for deployment.

Where is Muck Rack headquartered?

Muck Rack is headquartered in Miami, Florida, and was founded in 2009. The company operates as a privately held firm with 201–500 employees.

How this profile is built

Muck Rack'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.