# dream-sports Published articles for dream-sports. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## From Static Catalogue to Smart Discovery: Engineering Lightning-Fast Search at DreamSetGo DevFeed: [From Static Catalogue to Smart Discovery: Engineering Lightning-Fast Search at DreamSetGo]() Original publisher: [Read original article]() Author: Dream Blog Published: 2026-03-09T13:50:30Z Content type: article Language: en Sources: [Dream11 Engineering]() Topics: [PostgreSQL](), [Microservice](), [systems](), [elasticsearch]() Tags: [architecture](), [dream-sports](), [elasticsearch](), [engineering](), [open](), [performance](), [postgresql](), [search](), [search-engines](), [sports](), [tech](), [travel]() ### AI overview DreamSetGo's tech team explains how its growing sports-travel catalogue created a need for faster, more intuitive product discovery. The article describes rebuilding the catalogue as a microservice, considering PostgreSQL with Elasticsearch, and choosing PostgreSQL based on architectural and operational trade-offs. ### Source excerpt By the DreamSetGo Tech Team If you're excited about building high-performance systems that power premium sports travel experiences, explore our open roles at DreamSetGo. Why Search Became a Product Imperative Over the past couple of years, DreamSetGo's catalogue didn't just grow, it accelerated. We were introducing access to new tournaments, adding destinations across continents, and were expanding into different hospitality formats. What began as a few structured products quickly evolved into a layered catalogue of packages and experiences. And that's when we started noticing something subtle but important. Adding products was straightforward. Making them discoverable wasn't. Every new experience meant longer descriptions and richer metadata. On paper, this was definitely progress. But from a user perspective, it introduced friction. If a traveller already knew exactly where to click, they could navigate their way through the catalogue. But if they came in with intent like: "Wimbledon finals hospitality" "Hot air balloons in Cappadocia" "Scuba diving in the Andamans" ...there was no fast, intuitive way to show them the most relevant experience. Once we acknowledged this gap, the next step became clear: we needed a search system that was scalable, resilient, and fast enough to keep up with our growth. This blog takes you through how we designed that search, from architectural trade-offs to production optimisations, and why PostgreSQL turned out to be the best choice for this. The Obvious Architecture (That We Didn't Choose) We started revamping our architecture six months back and rebuilt our travel product catalogue as a dedicated microservice, one that would eventually power search, and filter it by date, price and more. At that point, we had roughly 1,000 products. But we weren't building for 1,000. We had a clear vision of significantly expanding the catalogue within the near future. Like most teams, our first instinct was predictable: PostgreSQL -> Source of Truth ## Dream UTT Juniors: Building India's Next Generation of Table Tennis Champions DevFeed: [Dream UTT Juniors: Building India's Next Generation of Table Tennis Champions]() Original publisher: [Read original article]() Author: Dream Blog Published: 2025-12-13T07:05:51Z Content type: article Language: en Sources: [Dream11 Engineering]() Topics: [Sports]() Tags: [2025](), [collaboration](), [community](), [competition](), [dream-sports](), [india](), [platforms](), [sports](), [table-tennis](), [visibility](), [youth-sports-development]() ### AI overview The article describes Dream UTT Juniors, a collaboration between Dream Sports Foundation and Ultimate Table Tennis to give India's U-15 table-tennis players experience competing in a professional-league environment. It explains how sixteen players from the Dream Sports Championship: Table Tennis were drafted into UTT franchises and reports that the league was streamed on FanCode. ### Source excerpt At Dream Sports Foundation (DSF), our goal has always been simple: to make sports better by strengthening India's sporting ecosystem and creating opportunities that truly matter. From cricket and football to boxing and weightlifting, we've worked across sports, supporting their growth through high-impact programmes and partnerships that enable athletes to perform at their best. As we continued to expand our focus, we also began exploring Olympic and high-potential sports where structured, high-quality competitions could make a meaningful difference. That's how table tennis found its way into our plans -- a sport with immense potential in India, yet limited access to professional-level platforms for young athletes. The idea was to bridge that gap, to create an opportunity that allows young players to experience the intensity, standards, and spirit of a professional league early in their journey. The outcome was Dream UTT Juniors -- a collaboration between DSF and Ultimate Table Tennis (UTT). How Dream UTT Juniors Came to Life Sometimes, all it takes is one question to spark something extraordinary. For us, it began with a simple idea shared between DSF and UTT: "What if India's U-15 players could experience the thrill of a professional league, just like seasoned players?" That question set everything in motion. What started as a passing thought quickly turned into a shared mission -- to create a platform where India's most promising U-15 talent could play and compete like professionals. By early 2025, DSF's own Dream Sports Championship: Table Tennis, held in association with the Table Tennis Federation of India (TTFI), had already taken place -- bringing together remarkable young talent from across the country in a first-of-its-kind competition. The top sixteen players from that tournament were then drafted into the UTT franchises (U Mumba TT, Stanley's Chennai Lions, PBG Pune Jaguars, Kolkata Thunder Blades, Jaipur Patriots, Dempo Goa Challengers, Dabang Delhi T.T.C.,