Building a Minimal Viable Product That Your Users Want
An MVP provides an opportunity to test features, refine market strategies, optimize resources, and secure funding if necessary while making sure customers are satisfied.
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Five Tips for Creating Digital Products
Developing successful digital products takes careful planning and execution from start to finish. Five tips for business leaders considering creating digital products to help ensure what you create is embraced by your users.
How to Reduce File Size When Exporting PDFs from Figma
Exported PDFs from Figma can be unnecessarily large. We’ll look at some of the reasons why and give some tricks for reducing the size of exported Figma files.
Lab Notes: Time Series Anomaly Detection with Azure
Microsoft Azure’s Anomaly Detector provides out of the box machine learning solutions for time series data. Let’s see how it performs!
Lab Notes: MediaPipe with Python for Gesture Recognition
We explore a variety of gesture recognition approaches with MediaPipe and Python to develop a multimodal interface, which provides a more flexible experience.
Labs Notes: Exploring GraphQL for Web APIs – Introduction and Thoughts
An introduction to building robust APIs using GraphQL — an open-source data query language and runtime for building scalable Web APIs.
Lab Notes: MediaPipe on Android for Gesture Recognition – Setting Up on Windows and Linux
This series details how to set up a framework for live machine learning and computer vision on Windows and Linux devices via MediaPipe.
What we’ve learned leading an internship in the remote-work era
Key takeaways we’ve learned while migrating to a fully remote internship program as a small company, with a distributed team.
Lab Notes: An Introduction to Android Jetpack Compose
Android Jetpack Compose is a game-changing fundamental rethink of UI development. Learn to write composable functions in Kotlin to generate UI components.
Writing Throwaway code, Part II: Moving to interactive notebooks in Ruby and Visual Studio Code
Interactive notebooks aren’t just for data scientists or Python developers. It’s easy to set up a Ruby backed sandbox using Visual Studio Code’s Jupyter compatible notebook support.