About Us

Our Mission

DataSensingLab exists to help SaaS founders, engineers, and product teams harness real-time signals to build smarter, more scalable software. We believe that scalable SaaS isn’t just about shipping features, it’s about understanding the signals that drive performance and user experience, then turning that understanding into actionable value without unnecessary complexity.

What We Do

We dive deep into the critical role of real-time data streams in creating responsive, event-driven SaaS platforms. Our content explores the intersection of product, data, and infrastructure, offering practical insights that help teams navigate the fast-evolving landscape of cloud-native development.

Our Focus Areas

Event-Driven Architecture: Understanding how real-time data flows can transform your SaaS platform’s responsiveness and scalability.

Product Telemetry: Leveraging backend telemetry, APIs, and user interactions to build better products and make informed decisions.

Analytics Strategy: Designing measurement frameworks that actually drive product decisions and business outcomes.

Technical Storytelling: Bridging the gap between complex systems and practical product goals through clear, actionable communication.

Observability & Performance: Building systems that not only scale but provide the visibility needed to maintain and improve them.

Who We Serve

DataSensingLab is designed for the builders and decision-makers in the SaaS ecosystem:

  • SaaS Founders looking to make data-driven product decisions and scale their platforms intelligently
  • Engineers building the backbone of modern SaaS applications and seeking best practices for scalable systems
  • Product Managers who need to understand how infrastructure and data impact user experience and business metrics
  • Technical Teams navigating everything from MVP development to usage-based pricing models

Our Approach

We provide tactical advice grounded in real-world experience. Our content emphasizes observability, performance, and customer-centric development, offering both technical deep-dives and emerging trends that resonate with fast-moving product teams. Every piece of content is designed to help teams decode their infrastructure and data, transforming complexity into clarity and actionable insights.

About Michael Whitner

Michael Whitner is the founder of DataSensingLab and a seasoned technical writer and systems strategist with over a decade of experience developing data platforms and developer-facing tools. His expertise spans B2B software, product infrastructure, and developer tools, with a particular focus on how these elements intersect to create successful SaaS products.

Michael’s work bridges the gap between complex systems and practical product goals, helping teams design scalable, observable, and user-focused systems. His writing emphasizes the importance of understanding real-time data signals and leveraging them to build better products and experiences.

As a systems thinker with deep experience in B2B SaaS, Michael brings a unique perspective to the challenges faced by modern product teams. His approach combines technical depth with business pragmatism, making complex concepts accessible and actionable for teams at all stages of their SaaS journey.