<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Web App | Dominic Santschi | Website</title><link>https://domsantschi.github.io/tags/web-app/</link><atom:link href="https://domsantschi.github.io/tags/web-app/index.xml" rel="self" type="application/rss+xml"/><description>Web App</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 22 Sep 2026 00:00:00 +0000</lastBuildDate><image><url>https://domsantschi.github.io/media/icon_hu9948357975603477671.png</url><title>Web App</title><link>https://domsantschi.github.io/tags/web-app/</link></image><item><title>Auto Abo Kilometer Tracker</title><link>https://domsantschi.github.io/projects/auto-abo/</link><pubDate>Tue, 22 Sep 2026 00:00:00 +0000</pubDate><guid>https://domsantschi.github.io/projects/auto-abo/</guid><description>&lt;p>This project is a practical, user-friendly web app built to help people with car subscriptions keep track of their included mileage and avoid unexpected overage fees. Visitors can enter their contract details once, log their monthly kilometer readings, and instantly see how much allowance remains, whether they are trending over budget, and when action is needed. The app combines a clean, product-style interface with real-world utility, making a typically confusing subscription contract easier to understand and manage.&lt;/p></description></item><item><title>CrossFlexed.com</title><link>https://domsantschi.github.io/projects/crossflexed/</link><pubDate>Sun, 22 Mar 2026 00:00:00 +0000</pubDate><guid>https://domsantschi.github.io/projects/crossflexed/</guid><description>&lt;p>CrossFlexed is a personalized recovery web app for CrossFit athletes, designed to recommend timed cooldowns and stretches based on the day’s workout and each gym’s specific programming. Built with React, TypeScript, and serverless AWS infrastructure, it delivers a fast, branded experience that helps members recover more consistently while giving gyms a scalable way to engage their community. The app combines data-driven recommendations, exercise video guidance, and a clean, accessible interface to make post-workout recovery simple, motivating, and valuable.&lt;/p></description></item><item><title>Insurance Innovation Award</title><link>https://domsantschi.github.io/projects/insurance-innovation-award/</link><pubDate>Mon, 15 Dec 2025 00:00:00 +0000</pubDate><guid>https://domsantschi.github.io/projects/insurance-innovation-award/</guid><description>&lt;p>This web app helps insurance companies generate and evaluate innovative product ideas using AI. Built to support strategic ideation and early-stage validation, it combines company context, historical award data, and scoring criteria to surface relevant concepts and assess their potential for market impact, customer value, and business relevance. It’s a practical example of how AI can accelerate digital innovation in the insurance sector while keeping ideas grounded in real-world industry signals.&lt;/p></description></item><item><title>Journal-Rankings.com</title><link>https://domsantschi.github.io/projects/journal-rankings/</link><pubDate>Sat, 22 Nov 2025 00:00:00 +0000</pubDate><guid>https://domsantschi.github.io/projects/journal-rankings/</guid><description>&lt;p>A web application that helps researchers and students instantly search and compare academic journal quality ratings across eight major ranking systems: VHB (Germany), ABDC (Australia), ABS (UK), HCERES (France), JUFO (Finland), SJR, FT50, and UTD24. With a database of over 50,000 academic journals, users can look up any journal in a single search and see how it&amp;rsquo;s rated by each system side-by-side, making it easy to align publication strategies with institutional requirements. Built with Next.js 14, TypeScript, and Tailwind CSS, the app features fuzzy-matching journal search, autocomplete suggestions, filterable database selection, consensus scoring across ranking systems, and SEO-optimized educational blog content — all deployed as a fast, serverless web experience.&lt;/p></description></item><item><title>Reference-Analyzer.com</title><link>https://domsantschi.github.io/projects/reference-analyzer/</link><pubDate>Wed, 22 Oct 2025 00:00:00 +0000</pubDate><guid>https://domsantschi.github.io/projects/reference-analyzer/</guid><description>&lt;p>This project is a fast, browser-based academic reference analyzer that helps researchers, students, and academics assess the quality of their citation lists across major journal ranking systems. Users can paste a reference list, enter a DOI to fetch references from CrossRef, or use AI-powered extraction from a PDF, then instantly compare matches against ABDC, ABS, HCERES, SJR, FT50, UTD, and VHB rankings. The app turns messy bibliographic data into clear, exportable insights with journal-level analysis, ranking visualizations, and a streamlined workflow designed for speed and usability.&lt;/p></description></item></channel></rss>