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Facelift Tech Stack

Social media analytics platform with API-first architecture and data warehouse integrations

Technology, Information and Internet Hamburg, HH 51–200 employees Founded 2010 Privately Held
quintly.com LinkedIn

Facelift Data Studio aggregates social media metrics across Instagram, Facebook, X, LinkedIn, YouTube, and Snapchat into a single analytics interface. The tech stack reveals a mature, distributed systems approach: Kafka for event streaming, Kubernetes + Docker for container orchestration, GraphQL APIs, and direct integrations to Tableau and BigQuery. Active projects around cloud-native systems on AWS, infrastructure-as-code, and AI-augmented insights suggest the platform is shifting from a monolithic analytics tool toward a data-streaming backbone with real-time insights.

Tech Stack 31 technologies

Core StackSalesforce PHP Java Angular TypeScript GraphQL AWS Kafka Docker Kubernetes GitLab CI/CD MySQL Grafana Prometheus Elasticsearch Sentry GitHub Actions Jenkins Helm Ansible Terraform Istio Symfony Spring Boot Kibana GCP AWS CDK Elasticsearch, Logstash, Kibana Linkerd Bash+1 more

What Facelift Is Building

◆Challenges

  • Scalability of our applications
  • Operational workflows
  • Lack of actionable insights

▲Active Projects

  • Lead generation strategy development
  • Evolving internal fc-ui component library
  • Building cloud-native systems on aws
  • Implementing authentication and security features
  • Automating deployments for our products
  • Lead innovation of devsecops technologies
  • Develop infrastructure-as-code solutions
  • Analytics and reporting suite
  • Ai-augmented insights
  • Intuitive dashboards

Hiring Activity

Minimal7 roles · 0 in 30d

Department

Engineering
2
Sales
2
Other
1
Product
1
Support
1

Seniority

Junior
3
Senior
3
Mid
1
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About Facelift

Facelift Data Studio (formerly quintly) is a social media analytics platform built for marketing teams at mid-market and enterprise companies. The product consolidates performance data from six major social networks and surfaces it through dashboards, benchmarking reports, and API access. The platform integrates downstream into data warehouses (Snowflake, BigQuery) and BI tools (Tableau), positioning it as a data source rather than a standalone reporting silo. Founded in 2010 and based in Hamburg, the company operates as a privately held organization with a 51–200-person team distributed across engineering, sales, product, and support.

HeadquartersHamburg, HH
Company Size51–200 employees
Founded2010
Hiring MarketsGermany

Frequently Asked Questions

What tech stack does Facelift use?

Java, Spring Boot, and PHP on the backend; Angular and TypeScript on the frontend; Kafka for streaming; Kubernetes and Docker for orchestration; AWS and GCP for cloud infrastructure; Elasticsearch, Logstash, Kibana for observability.

What is Facelift working on?

Cloud-native system migration to AWS, infrastructure-as-code solutions, AI-augmented insights, authentication and security features, internal UI component library evolution, and automated deployment pipelines.

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