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Everfit operates a multi-sided SaaS platform that bundles workout programming, meal planning, community tools, and payments into a single offering for fitness coaches. The stack is event-driven (Kafka, Redis, PostgreSQL) and analytics-heavy (Looker, Tableau, Amplitude, Mixpanel), reflecting a platform optimizing for user engagement and cohort-level retention. Current hiring is concentrated in product and marketing roles—not engineering—suggesting the company is shifting focus toward product-market positioning and demand generation rather than infrastructure scaling.
Tech Stack 30 technologies
Core StackNode.js Express.js MongoDB Redis PostgreSQL Kafka AWS AWS Lambda Docker Jest Figma Jira Confluence Looker Tableau Python Amplitude Mixpanel Salesforce HubSpot Iterable Google Analytics AWS SQS AWS ECS OAuth 2.0 JWT Mocha SQL R Outreach
What Everfit Is Building
◆Challenges
- Accelerating time-to-value
- Streamline workflows
- Scale businesses
- Understanding user engagement
- Improving product performance
- Building ai/ml capabilities
- Complex creative workflow
- Scaling platform
- Improving onboarding engagement
- Optimizing marketing performance
▲Active Projects
- Ai fitness coach assistant
- Everfit consumer marketplace roadmap
- Marketplace feature development
- Discovery and experimentation framework
- Major feature releases
- Platform expansions
- Coaching platform roadmap development
- User engagement analysis
- Experiment design and measurement
- Coaching and training management platform
Hiring Activity
10 roles · 5 in 30d
Department
Seniority
Company intelligence
