Latest Stories
Most recently published stories in 01.
Best Kotlin App Development Companies in USA (2026). AI-Generated.
I reckon finding a solid dev team is harder than picking a winner at the races. You want speed, but you also want a build that does not fall apart when users flood in. That is why Kotlin app development companies are so busy lately.
By Samantha Blakea day ago in 01
AI-Native Mobile App Development for 2026: A Strategy Guide
The landscape of mobile software has shifted. In 2026, one distinction matters most. Is your app "AI-integrated" or "AI-native"? This choice determines your market survival. Previous years focused on adding simple chatbots. These were often just a secondary layer. Current development prioritizes AI as the core engine. It drives the user interface and data processing. It also enables proactive functionality.
By Del Rosarioa day ago in 01
Personalization Engines in Mobile Apps 2026 Guide
The gap between a useful app and an essential one is now clear. In 2026, it is defined by how well software anticipates user needs. Generic experiences lead to high churn. Data from 2025 showed a clear trend. Apps using real-time behavioral personalization saw 3.2x higher retention rates. This is compared to apps that used static segmentation. This guide is for product managers and developers. It helps you move beyond basic "Hi Name" messaging. You will learn deep, intent-based personalization.
By Devin Rosarioa day ago in 01
RAG on Mobile: Embedding Vector Databases in Production
The industry is changing. By 2026, we have moved away from cloud AI. We now favor "Local-First" architectures. These systems prioritize user privacy. They offer offline functionality. They also reduce network latency. This shift toward RAG on mobile is a major transition. RAG stands for Retrieval-Augmented Generation. It is a way to give AI better context.
By Devin Rosarioa day ago in 01
Why Some Crypto Exchanges Launch Smoothly While Others Never Reach Market?
The crypto industry often frames exchange success as a technology race: better UI, faster matching engines, or more trading features. Yet history shows something different. Many technically strong exchanges fail, while simpler platforms grow rapidly. The difference is rarely code quality — it’s timing, execution readiness, and infrastructure alignment.
By Nia Higginsa day ago in 01
The Role of Custom AI Solutions in AI-First Software And Platforms Development in 2026
The software industry has undergone a fundamental shift over the last two years. In 2024, the trend was "AI-enabled." Developers took existing applications—accounting software, email clients, project management tools—and bolted on a chat interface. The core software remained the same; the AI was an accessory.
By ViitorCloud Technologiesa day ago in 01
Mastering MAP Monitoring for Sustainable Online Brand Growth
A single discounted listing can unravel a carefully built pricing strategy almost overnight. When one reseller drops below the agreed MAP level, others quickly follow, and margins begin to compress across marketplaces before anyone has time to react. This chain reaction is entirely preventable.
By Swiftproxya day ago in 01
How a Startup Built a Crypto Exchange in Just 30 Days (A Detailed Breakdown)
Launching a crypto exchange is often perceived as a long and technically demanding process. From regulatory considerations to liquidity integration and platform security, the journey appears complex and time-intensive. However, with the right strategy, structured planning, and access to ready-made technological infrastructure, a startup can significantly reduce development time. This detailed breakdown explains how a startup successfully built and launched a crypto exchange in just 30 days.
By smithtaylora day ago in 01










