How we built an application to divulge information on movies and TV shows while facilitating communication between fans of entertainment.

The client contacted us to transform his undeveloped idea into an MVP. We performed a product discovery workshop where we showcased our proficiency in Product Design Strategy and Web Development to better comprehend the client's requirements. We illustrated our thoughts with a wireframe that we used to present them. We highlighted the significance of a seamless user journey by drawing on our expertise in MVP Development and Performance Optimization. The client was highly impressed by this and decided to work with us to bring their ideas to life as a result.

By working together and being generally engaged, we helped them overcome a number of business obstacles. Among them, the following stand out:

• The project's most crucial component was data management. The enormous database related to the entertainment sector was the main worry. We took care of this by steadily and methodically extracting information from the IMDb (Internet Movie Database). The inspection of X-Rated films and television programs followed. The main problem was those motion pictures and television programs rated "X" in India but not in other nations. As a result, it was challenging to filter the data that was being fed into our platform. To effectively address this, our group came up with the concept of including nation-specific criteria and filters.
• Our project required a sizable server to handle the volume of data associated with it. Our experienced staff initially recognized the impracticality of real-time data import. To fix this, we divided the data importation procedure into two phases, each of which dealt with the data on the listing page and the detail page individually.
• Due to the numerous factors at play, we understood the significance of controlling the load time for the property, listing, detail, and timeline pages. We used the following fixes for each page in question.—

Homepage: Here, information was supposed to be imported based on many criteria, including top-rated films, recently released films, and more. The lengthy loading time of the page was adversely affected by the abundance of films and entertainment programs. This problem was fixed by limiting the number of videos that are fetched to the site for each parameter to 20. We added a lazy load to maintain speed and enable a simple user experience.

Listing Page: The search results were excessive, even with our option for advanced filters. This forced us to present the data in 20-item batches, displaying the following batch on each scroll. Our goal pace was attained, and by keeping customers from becoming irritated, we successfully increased client retention.

Detail Page: As the name implies, this page supports a lot of information, such as movie information, comments, reviews, etc. Actions like "Watchlist," "Seen," "Book Tickets," and others were also featured. The main reason for the longer load time was information on "Related Movies ."To combat this, we included section-wise lazy loading, and batch data fetching.

Timeline Page: The problem with this page was also resolved via lazy loading. We avoided compromising real-time data by displaying fixed comments underneath each article.

• Our team paid particular attention to developing a strong review system to provide all user feedback in a structured way. We proceeded with a bifurcation in accordance with the reviewers because the reviews were more challenging and uncomplicated than we had thought. We now have four categories: "You," "Everyone," "Friends," and "Critics." Here, "You" highlighted user-provided reviews, "Everyone" highlighted all user-provided reviews collectively, "Friends" highlighted user-provided reviews from friends and connections, and "Critics" highlighted user-provided reviews from movie critics.
• Our technological know-how and design expertise allowed us to finish the client's OTT guide platform development within the allotted time frame. We developed a social platform with the client's specifications in mind, allowing users to have individual profiles, followers, and more. By creating specific custom categories like "Topics of the Day," "Trending Movies," etc., we made it easier for the information to be shown in the right way. Additionally, we incorporated certain automated features like "Top Reviewer of the Month," which would encourage user interaction and support long-term retention.