The growth of FinTech startups has attracted significant attention from researchers in recent years, reflecting the right time to assess the different experiments and practices conducted by these startups after recommending solutions to them. In this study, a bibliometric analysis and network visualization of FinTech startups were conducted to identify the most notable pioneers of journals, authors, affiliations, and countries, map out the most influence between the variables, and measure the level of collaboration by using Network Visualization. Data were collected from Scopus, which is often referred to by academics for bibliometric assessments because of its coverage, exporting features, and indexing standard. The study identifies the relationship between startups and FinTech and contributes to the existing body of knowledge by examining qualitative and quantitative research gaps in the literature. The study's results highlight the most commonly occurring keywords, which include Fintech (71 occurrences), Startup (15 occurrences), Blockchain (6 occurrences), and Innovation (8 occurrences), among others. The co-word analysis and conceptual structure further reveal the thematic network between the closely related keywords.