The latest articles on DEV Community by Turismocity (@turismocity). https://dev.to/turismocity https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Forganization%2Fprofile_image%2F12299%2F3c374c73-a1d1-40db-8374-7f2d99bd6dd3.png https://dev.to/turismocity en Valentin Viola Wed, 21 Jan 2026 17:13:21 +0000 https://dev.to/turismocity/from-bootstrapped-in-buenos-aires-to-global-acquisitions-the-engineering-journey-of-turismocity-3jm3 https://dev.to/turismocity/from-bootstrapped-in-buenos-aires-to-global-acquisitions-the-engineering-journey-of-turismocity-3jm3 <p>At Turismocity, we started in 2014 in Buenos Aires with a clear mission: to create the most efficient travel search engine for Latin America. We didn't just want to "list" flights; we wanted to predict opportunities using technology.</p> <p>Today, serving millions of unique monthly users and operating across the Americas, the technical challenges have evolved from "how do we get data?" to "how do we scale globally?".</p> <p>Here is a look under the hood of our journey from a bootstrapped startup to acquiring US-based Farecompare and Brazil's Quanto Custa Viajar.</p> <h3> The Metasearch Challenge </h3> <p>Unlike a standard e-commerce site where you control your inventory, a metasearch engine relies on real-time connections with hundreds of external providers (Airlines, OTAs, and GDS).</p> <p>Our core engine has to perform three complex tasks in milliseconds:</p> <ol> <li>Ingestion: Querying multiple provider APIs simultaneously without timing out.</li> <li>Normalization: Taking messy data from different sources and standardizing it into a clean, comparable format.</li> <li>Intelligence: Filtering thousands of results to highlight the "smartest" option for the user, not just the cheapest.</li> </ol> <h2> Scaling Through Acquisitions </h2> <p>In December 2020, we took a major leap by acquiring Farecompare, a key player in the US / Global market. Shortly after, in 2021, following our Series A funding round, we acquired Quanto Custa Viajar in Brazil.</p> <p>From an engineering perspective, M&amp;A (Mergers and Acquisitions) is not just a business deal; it's a Tech Integration Challenge.</p> <p>We had to answer critical architectural questions:</p> <ul> <li>Do we merge the backends or keep them separate?</li> <li>How do we unify data lakes to get global insights?</li> <li>How do we leverage Farecompare's global reach with Turismocity's localized efficient algorithms?</li> </ul> <h2> Leveraging AI for Price Detection </h2> <p>One of our biggest differentiators has always been our ability to "detect" rather than just "search." We use historical data and algorithms to identify when a flight price drops significantly below its average. This isn't magic; it's data science applied to user intent.</p> <p>By analyzing millions of search patterns, our stack can alert a user about a deal to Miami or Madrid before they even know they want to travel.</p> <h2> What's Next? </h2> <p>We are continuing to expand our footprint in Latin America and beyond. Our engineering team is focused on optimizing high-concurrency performance and refining our machine learning models to make travel more accessible for everyone.</p> <p>We are building the technology that moves millions.</p> travel tourism flights