MVP is a product with sufficient characteristics to gather validated learning about a product. Minimum viable product always comprises of the lowest set of characteristics that you want to develop for your product, which would be adequate for your customers to start using the application.
There are two important aspects when creating an MVP:
Determining the characteristics of minimum viable product is a strategic decision. It is important to begin without losing the foreknowledge of future contingency while at the same time trying not to implement a huge framework to solve every possible task. We at Gearheart have worked with different startups during their early stages and helped find that perfect set of features to test out a product idea. Our experience helps us understand which parts of a task are removable so that only a unique selling point is left.
It’s important to use time and money wisely, especially while you are bootstrapping your startup and you lack both.
Using time-tracking, estimations based on statistics and efficient workflows, we are proud to provide reliable predictable results in terms of delivery speed and budget.
Beginning with an MVP ensures that your concept is well received before you pay out more money. These tactics help our customers flourish in the market even with minimal funding to begin with. Every dollar used is very important.
Gearheart's aim has always been to assist you in growing & maximizing returns on your product idea. We have a team of professionals that stand in as solution architects and consultants offering all the consulting you require to roll out your new idea.
We are burning not only with cool projects, but also with the people behind them. And a perfect team match truly matters. Our clients are our partners, co-authors, and friends at all project stages. Here are some examples of times when Gearheart became a best-fit teammate for our customers.
Earlier in our previous article "Improve efficiency of your SELECT queries" we discussed ways to profile and optimize the performance of SELECT queries. However, to write complex yet efficient SQL queries, there is a thing to remember about.
SQL is a fairly complicated language with a steep learning curve. For a large number of people who make use of SQL, learning to apply it efficiently takes lots of trials and errors. Here are some tips on how you can make your SELECT queries better. The majority of tips should be applicable to any relational database management system, but the terminology and exact namings will be taken from PostgreSQL.