Strm Tech Stack

Data-driven music career analytics and financial modeling platform

Musicians Chicago, Illinois 11–50 employees Founded 2020 Privately Held

Strm connects artist performance data to financial metrics for managers, investors, and labels. The tech stack—Python, FastAPI, Kafka, PostgreSQL, Power BI—reflects a data engineering-first architecture, yet the project list reveals heavy reliance on Excel automation (Power Query, VBA) alongside cloud infrastructure, suggesting manual workflows coexist with scaled systems. Pain points around data consistency, royalty accuracy, and production stability indicate the company is still bridging analytics rigor with music industry operational complexity.

Tech Stack 25 technologies

Core StackPython FastAPI Flask Django AWS AWS Lambda AWS RDS Docker PostgreSQL MySQL Linux Kafka RabbitMQ Jira ClickUp Cypress Playwright Selenium Power Query Power BI Excel VBA SQL

What Strm Is Building

◆Challenges

Reducing rework
Scaling real-time monitoring
Handling large data volume
Ensuring data precision and scalability
Optimizing automation
Stable product releases
Reducing bugs in production
Automating data processes
Ensuring data consistency
Royalty inconsistencies

▲Active Projects

Real-time performance monitoring system
Scalable data ingestion pipeline
Advanced excel spreadsheet development
Advanced analytics dashboards
Automation of routine calculations
Financial projection models in excel
Etl flows in excel using power query
Vba automation for process standardization
Customer support flow automation
Bot implementation for support

Hiring Activity

Minimal7 roles · 0 in 30d

Department

Data

Engineering

Support

Seniority

Mid

Junior

Intern

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About Strm

Strm provides data-driven tools and consulting to quantify artist career potential and risk for stakeholders in music—artists, managers, and investors. The platform ingests performance data across multiple sources, applies proprietary algorithms to produce financial projections and career benchmarking, and surfaces results through dashboards and advisory services. Operating from Chicago with ~20–30 employees focused on data and engineering, Strm is headquartered in the United States but actively hiring in Brazil.

HeadquartersChicago, Illinois

Company Size11–50 employees

Founded2020

Hiring MarketsBrazil

Frequently Asked Questions

What tech stack does Strm use?

Python, FastAPI, Flask, Django, AWS, PostgreSQL, MySQL, Kafka, and Power BI. The team also uses Excel-based tooling (Power Query, VBA) for financial modeling and automation alongside cloud infrastructure.

What is Strm working on?

Real-time performance monitoring, scalable data ingestion, advanced analytics dashboards, financial projection models, ETL automation, and customer support workflows. Recent focus includes reducing production bugs and ensuring data consistency across royalty calculations.

Where is Strm hiring?

Strm is actively hiring in Brazil. Current open roles span data (3), engineering (2), and support (2), with a mix of mid-level and junior-level positions.