apps
A guide to all things app; 01 Media recommends the best applications to fit your needs and maximize your device's functionality.
How a Web Development Company in India Builds CMS eCommerce Sites?. AI-Generated.
The first CMS-based eCommerce project I watched unfold didn’t start with technology at all. It started with confusion. The client wanted an online store, a blog, marketing pages, and the ability to change everything without calling a developer every week. The development team didn’t argue platforms or frameworks. They asked questions—lots of them. That moment stuck with me because it explained how many teams in India actually approach CMS eCommerce work.
By Jane Smith2 months ago in 01
How to Choose the Right Mobile Application Development Company in Canada in 2026
Choosing a mobile app partner in 2026 isn’t just about writing code anymore. With AI-powered features, stricter data privacy laws, rising development costs, and highly informed users, the wrong decision can cost you months of time and a significant chunk of your budget.
By alan michael2 months ago in 01
Cost to Develop an App Like Airbnb: A Full Guide (2026). AI-Generated.
Listen, I get it. You’ve looked at the rental market, seen the cash flow, and thought, "I reckon I could build the next Airbnb." It’s a classic move. Everyone and their grandmother seems fixated on building a marketplace empire in 2026.
By Sherry Walker2 months ago in 01
Cost to Develop an App Like Tinder: 2026 Price Guide (Real Talk). AI-Generated.
Look, I know what you’re thinking. You looked at the quarterly earnings for Match Group or heard about some new "anti-dating" app raising millions in seed funding, and you thought, I could do that. It’s a classic thought. I’ve had it myself while doom-scrolling through Hinge on a Tuesday night. But here is the thing: building an app like Tinder in 2026 ain't the same as it was in 2016. It’s not just about swiping right anymore; it’s about navigating a digital minefield of AI agents, video verifications, and user fatigue.
By Sherry Walker2 months ago in 01
Cost to Develop an App Like TikTok: Full Guide (2026). AI-Generated.
So, you reckon you have the next billion-dollar idea? You want to build a TikTok killer. Join the club, mate. In 2026, everyone and their grandmother is trying to pivot to video, thinking a simple app wrapper and a few API calls will print money.
By Sherry Walker2 months ago in 01
Why Portland Mobile Apps Fail Under Load Despite Passing QA?
Daniel Foster had already signed off on the release. Every checkbox in the QA report was green. Automated regression suites passed. Load tests hit their target concurrency. There were no critical defects, no unresolved tickets, no red flags. From a quality standpoint, the mobile app was ready.
By Samantha Blake2 months ago in 01
Why Software Testing Services Need Manual and Load Testing?. AI-Generated.
In today’s digital-first world, software is expected to work flawlessly from the first click to the millionth user. Whether it’s a customer-facing application, an internal enterprise system, or a cloud-based platform, users have little tolerance for bugs, slow performance, or unexpected crashes. This is why Software Testing Services are no longer a final checklist item—they are a core part of building reliable, scalable products.
By Jane Smith2 months ago in 01
MLOps vs. DevOps: Key Differences and Similarities
The speed of innovation has become inextricably linked to a company's ability to deliver dependable software and intelligent systems. That is the modern market for you. Anyway, for more than a decade, DevOps has served as the foundational methodology. It has brought together software development and IT operations teams to achieve continuous integration and continuous deployment. But with the rise of AI and ML, a new level of complexity has been created. The kind that traditional DevOps practices cannot fully address. ML models are not like standard application code; their performance is inextricably linked to the quality and evolution of the data they consume. Hence, to bridge the gap between the experimental nature of data science and the rigid demands of production IT, MLOps (Machine Learning Operations) was developed.
By Ryan Williamson3 months ago in 01











