Building a Ride Analysis Web App with Antigravity and the Strava API
The article describes the development of a web application called PerfRide, which uses the Strava API to provide advanced cycling analytics and training tools. Built with Antigravity and Next.js, the app offers features like fitness tracking, climb simulation, and pacing optimization for road cyclists. The developer aimed to create a free alternative to Strava's premium analytics with a focus on performance management.
- ▪PerfRide is a cycling performance management web app that integrates with the Strava API.
- ▪The app provides fitness metrics such as Chronic Training Load (CTL), Acute Training Load (ATL), and Training Stress Balance (TSB).
- ▪Key features include a climb simulator, pace optimizer, training planner, and dashboard with ride analytics.
- ▪The app is built using Antigravity and is available on GitHub for public use and contribution.
- ▪Some features are experimental or partially implemented, such as the weekly workout plan generator.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3921606) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Akira Kikusato for Google Developer Experts Posted on May 16 • Originally published at zenn.dev Building a Ride Analysis Web App with Antigravity and the Strava API #cycling #nextjs #googlecloud #webdev Introduction I ride bikes a lot these days, and like many cyclists I use Strava to log my rides. Even on the free tier it automatically syncs with smartwatches, cycling computers, and smart trainers, which is plenty for just keeping a record.
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