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ABFIT is an AI-powered fitness application I founded and developed using Replit and AI-assisted development tools. I built personalized workout generation, an AI Coach, guided workout timers, progress tracking, subscriptions, appointment booking, notifications, authentication, trainer-client communication, and video-based exercise content. I managed the product from planning and full-stack development through testing, deployment, App Store and Google Play publication, and ongoing maintenance.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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Been building full client funnels with AI lately, not just landing pages or quick prototypes.
The interesting part isn’t how fast you can generate the page.
It’s everything behind it: forms, calendars, CRM fields, follow-ups, confirmations, and making sure the whole journey actually works.
AI speeds up a lot of the execution, but it also makes testing and thinking through the full flow way more important.
Curious if anyone else here is using AI for complete client systems instead of isolated pages.
Building Race OS - a race-day operating system for Ironman and 70.3 tri-athletes. Think Stripe-level simplicity for the most chaotic day in triathlon. Join the waitlist for early access - free for early members : https://launch.li/p/race-os
The goal is to eliminate the logistics, coordination and decision fatigue that comes with race day - for the athlete and everyone around them.
Beautiful work 😍
Built this fully automated AI video pipeline — from script to finished, published video, zero manual editing.
I mapped out and built an end-to-end n8n workflow that takes a topic and turns it into a complete video: AI writes the script, generates the voiceover, creates the visuals, auto-syncs captions, assembles everything, then stores and logs it automatically.
The hardest part wasn't any single step — it was getting all the tools to talk to each other cleanly. Each stage had to pass the right data to the next without breaking, so one failed generation wouldn't quietly kill the whole run. Lots of trial, error, and rebuilding connections until it just... worked.
End result: a system that can produce content on autopilot, at a scale a person doing it manually never could.
