Singsys blog

Top 10 tips for growing your mobile application

Mobile application growing tips

 

In the mobile app business, every marketer and developer has the same objectives i.e. to obtain and grow their mobile app user base. But this puzzle of procurement and retention is not easy to handle and in today’s view, you face a series of hurdles, including fierce competition, changing consumer patterns, and high user supposition. Here are multiple stats that highlight the task that procuring and sustaining a mobile app audience presents in today’s world.

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How to get interactive Mobile Apps on a shoestring budget

interactive Mobile Apps

Interactive Mobile Applications on a Shoestring Budget: The right strategy, clear goals, and an expert mobile app development team can help businesses build functional mobile apps with a low budget. Here are some simple yet effective tips on how you can build high-quality mobile apps on a low budget.

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Vite-Next Generation Frontend Tool

Vite

Vite (French word for “quick”, pronounced /vit/, like “veet”) is a build tool that aims to provide a faster and leaner development experience for modern web projects. 

 

It consists of two major parts: 

 

Vite is opinionated and comes with sensible defaults out of the box, but is also highly extensible via its Plugin API and JavaScript API with full typing support.

 

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Fully Customizable Popup Menu in Flutter

Fully Customizable Popup Menu in Flutter

In flutter when it comes to the popup menu, flutter provides the PopupMenuButton for creating a popup menu with some option but somewhere it has restrictions in padding and other fields so we are unable to get our desired design of Popup Menu, we have also faced some issues when we were using PopupMenuButton provided by the flutter, so we have decided to create a custom Popup menu with fully customisable functionality.

 

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Regression in Supervised Learning

Regression in Supervised Learning

Supervised Learning

Supervised learning is the type of machine learning in which machines are trained using well “labeled” training data, and on basis of that data, machines predict the output.

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