Insights
On-Device AI: Why Some Companies Are Moving Away from the Cloud
For the past three years, "AI strategy" mostly meant "which API do we call." That's changing. A growing number of product and engineering teams are pulling specific AI workloads out of the cloud and running them directly on the user's device.
1.2 Million Trips Planned: What an AI Travel Planner Taught Us About Trust
Across 1.2 million plans, we watched users trust the AI enough to book and watched them quietly abandon good itineraries for reasons that had nothing to do with itinerary quality. This article is about what separated the two.
We Launched a Multi-Country Booking Platform. Here's What Broke at Scale
We built a booking platform for a client operating in two markets. The core logic, search, availability, and reservations, worked fine. Launch in market one went smoothly. Then came market two, and things started breaking in places we hadn't looked.
Base44 vs Claude Code: We Built the Same App and Hit a Wall
Base44 is one of the most talked-about vibe-coding tools right now. You describe what you want, and it generates a working web app: database, UI, and logic included. For the right use case, it’s genuinely impressive.
How AI Tools Boost App Development Time and Quality
In this article, we’ll look at how this changes the development process in practice. From traditional workflows to AI-supported ones, and what that means for speed, quality, and overall cost.
Social Fitness Apps: Why Community-Driven Workouts Win
Let’s be honest, we all know the struggle of convincing yourself to go to the gym. Some days, the motivation is just not there. And yet, a couple of things always seem to help: reward and accountability.
Why Flutter Is Still the Smartest Choice for App Development in 2025
With cross-platform frameworks like Flutter, the answer is yes. Startups can get two working apps for the cost of nearly one, because there’s one codebase, one team, one set of shared UI components.