I. J. Engineering and Manufacturing, 2022, 2, 25-33 Published Online April 2022 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijem.2022.02.03 Copyright © 2022 MECS I.J. Engineering and Manufacturing, 2022, 2, 25-33 Present Situation of Tech Startups in Bangladesh: A Case Study Plabon Kumar Saha Institution of Information Technology, University of Dhaka, Dhaka; E-mail: pkumarsaha71@gmail.com Md. Ezaz Raihan Department of Computer Science and Engineering, American International University Bangladesh, Dhaka E-mail: ezazraihansaif@gmail.com Md. Tanvir Anjum Department of Computer Science and Engineering, American International University Bangladesh, Dhaka E-mail: mdtanviranjum21@gmail.com Md. Kishor Morol Department of Computer Science and Engineering, American International University Bangladesh, Dhaka E-mail: kishor@aiub.edu Received: 01 January 2022; Accepted: 05 March 2022; Published: 08 April 2022 Abstract: In contemporary times startup is a very popular and growing entity, especially for the software industry as the technology field continues to grow. However, the failure rate of software startups is extremely high, and many reasons are behind this failure. There are many different variables behind the success or failure of a company. The purpose of this study is to mainly identify the possible reasons behind why the startups can’t reach the promise they are presumed to reach. To identify the reasons, company and employees of the company data were collected and analyzed using sentiment analysis and statistical correlation. Based on the analysis, some constructive suggestions were proposed accordingly. The discussion will enable the company employees and employers to bring out a transparent relation to ensure productive and satisfactory work environment. All the collected data for the study and the codes that were used to analyses the findings are attached below [28]. Index Terms: Software Startups, Startup Failure, Software Engineering, Sentiment analysis. 1. Introduction Startups are newly created companies that aspire to grow under extreme uncertainty. In recent years, there is a significant increase in the number of software startups, which is a key driver in creating new businesses and jobs [1]. The environment of software startups is extremely dynamic, unpredictable, and chaotic. Despite good early achievements, over time and during scaling up, software development and organizational management increase in complexity [2,3] causing deterioration of performance over time. According to Giardino et al. [4], 60% of the total startups in the world don’t survive in the first five years of their inception. And this creates a scope for researchers to work on the reasons behind the failures or success of startups [5,6,7]. Generally, startup companies develop software on an ad-hoc basis and most of the time, with very limited resources and less experienced people in the team. So there are no specified practices/methodologies being followed [7]. There are several kinds of research of software development methodologies but very few researches covered the dynamic and uncertain development method of startups. From a software engineering perspective, startups are dynamic and have uncertain situations where they develop software in a context where processes can hardly follow any prescriptive methodology [8]. Characteristics of startup companies are not similar to established and regular business companies that’s why they have different workflows. Sutton [9] provides a characterization of software startups, defined by the challenges they are facing in their regular workflow. Some of key characteristics involving startups are discussed below. Youth and immaturity: The basic characteristics of most startups are that they are relatively young and inexperienced compared to established developed companies, and typically they have very little industry experience.