Tech startup companies are experiencing significant developments in the digital era, so they need a competitive strategy, capital, and business model. This study aims to evaluate the determinants of IPO success of tech startup companies through the PLS-SEM method with the initial hypothesis from the research model that IPO project success can be achieved through Technical, Financial, Social, Political, and Others variable that represent the company image, prospectus and business performance. The PLS-SEM (Partial Least Square – Structural Equation Modelling) method aims to predict correlations and interrelationships between variables, through the expert validation stage, then pilot testing of 131 respondents, and a final questionnaire of 300 people. The results of the PLS-SEM show that the success of the IPO is related to the variables Others (0.257), Financial (0.255), Technical (0.198), Social (0.168), and Political (0.144) with a predictive coefficient of Project Feasibility (0.98) which means the initial hypothesis was accepted and proven by statistical parameters. The research resulted in recommendations for good standardization of work, structured business strategies, and innovation of the company's Business Model Canvas (BMC) to successfully carry out an IPO and attract investors.