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Chartbeat Tech Stack

Real-time analytics and revenue tools for digital media publishers

Technology, Information and Internet Austin, Texas 51–200 employees Founded 2009 Privately Held
chartbeat.com LinkedIn

Chartbeat builds real-time analytics and ad-operations software for media companies, with a product suite spanning newsroom analytics (Chartbeat), social video intelligence (Tubular), audience development (Lineup), and ad tech (FatTail). The hiring pattern reveals a sales-driven scaling phase: 5 of 11 active roles are in sales, concentrated in North America expansion and large-enterprise acquisition, while data and ML infrastructure (Kafka, Spark, Airflow, PyTorch, TensorFlow) underpins predictive churn modeling and forecasting—indicating the company is transitioning from reactive analytics toward AI-driven revenue and retention products.

Tech Stack 46 technologies

Core StackHubSpot Monday.com Python React Angular JavaScript PostgreSQL Snowflake Redshift Redis Apache Kafka RabbitMQ Jira Salesforce Gong BigQuery Kafka Apache Spark Apache Airflow Kubernetes LinkedIn Ads Google Ads PyTorch TensorFlow MLflow SQL Server C# LinkedIn Sales Navigator WhatsApp Sales Navigator+14 more

What Chartbeat Is Building

◆Challenges

  • Removing barriers to growth
  • Forecasting accuracy
  • Predictive churn modeling
  • Expanding sales presence in asia-pacific
  • Acquiring new business from large media brands
  • Improving sales productivity
  • Increasing rep effectiveness
  • Boosting pre-sales impact
  • Low audience engagement
  • Improving ad revenue

▲Active Projects

  • Improve forecasting process
  • Build predictive churn models
  • Implement ai-powered pipeline tools
  • Full sales cycle for tubular's social video intelligence platform
  • Pipeline hygiene in salesforce
  • Build gong infrastructure
  • Develop demo request workflows
  • Chartbeat newsroom analytics platform sales
  • Expanding sales presence in north america
  • Customer success process improvement

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Sales
5
Engineering
2
Data
1
Marketing
1
Ops
1
Support
1

Seniority

Senior
3
Director
2
Intern
2
Lead
1
Manager
1
Mid
1
Staff
1
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About Chartbeat

Chartbeat, Inc. operates a suite of analytics and monetization platforms serving digital media publishers across 70+ countries. The core Chartbeat product delivers real-time audience engagement metrics and editorial intelligence; Tubular focuses on social video analytics; Lineup handles audience development; and FatTail simplifies ad operations and revenue. The company is privately held, based in Austin, and operates with 51–200 employees. Current operational priorities include improving forecasting accuracy, building predictive churn models, expanding North American sales coverage, and acquiring new business from large media brands—all supported by an active data and ML engineering practice.

HeadquartersAustin, Texas
Company Size51–200 employees
Founded2009
Hiring MarketsUnited States, Singapore, United Kingdom

Frequently Asked Questions

What tech stack does Chartbeat use?

Chartbeat's core stack spans Python, React, Angular, and JavaScript for frontend; PostgreSQL, Snowflake, and BigQuery for data warehousing; Kafka and RabbitMQ for messaging; Spark and Airflow for batch processing; PyTorch and TensorFlow for ML; and Kubernetes for orchestration.

What is Chartbeat working on?

Current projects include improving forecasting accuracy and building predictive churn models; implementing AI-powered pipeline tools; scaling sales infrastructure (Gong, Salesforce pipeline hygiene); expanding North American sales presence; and improving customer success processes, particularly for Tubular's social video intelligence platform.

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How this profile is built

Chartbeat'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.