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Creatives on Contra have earned over $150M and we are just getting started
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Building PULS – A Cycling App That Makes Every Ride Worth Sharing
PULS is a dedicated cycling tracker designed for riders who want more than just numbers. It focuses on clean ride tracking, meaningful progress, and beautiful achievement cards that are ready to share.
The app lets cyclists track distance, speed, elevation, cadence, and duration in real time. After every ride, users get a clear summary and can turn their performance into a custom visual card — complete with route map, key stats, and personal highlights — then share it directly to Instagram, WhatsApp, X, and more.
How I built it:
Step 1.
I started by writing a detailed Product Requirements Document using Claude through MCP. This PRD became the foundation for the entire product.
Step 2.
I used Flowstep to generate the initial UI designs directly from the PRD. This gave me a complete starting point for the full user flow — from onboarding and live tracking to ride summaries and the achievement card editor.
Step 3.
I moved everything into Figma to refine the design system, improve visual hierarchy, polish spacing, and make every screen feel consistent and premium.
Step 4.
Once the designs were finalized, I brought them back into Flowstep to create interactive prototypes and validate the experience.
Step 5.
Finally, I used Claude via MCP again to help turn the polished designs and prototype into a working product.
The result is a focused cycling app that combines accurate tracking with a shareable, aesthetic layer that most fitness apps still lack.
https://app.flowstep.ai/file?activeFileId=beabc6f4-e8a6-48f6-b457-0b91fdb15f62
Really like the focus on making each ride feel worth sharing, not just tracked. The achievement cards are a nice touch, and your workflow from PRD to Flowstep, Figma, prototype, and build feels very well thought out. Good luck
CompetiTrack AI is an AI-powered competitor monitoring system that tracks product price and stock changes on e-commerce websites. It detects meaningful updates, generates business insights using an LLM, and sends email notifications only when changes occur
Keeping track of competitor pricing manually is time-consuming and difficult to scale. CompetiTrack AI automates the entire process.
The system scrapes competitor websites, compares the latest data with the previous snapshot, analyzes the changes using an LLM, and sends an email report only when something has changed. This avoids unnecessary notifications while providing useful insights for business decisions.
Features
- Competitor website monitoring
- Product price tracking
- Stock availability tracking
- Change detection
- AI-generated business insights
- Email notifications
- FastAPI backend
- Streamlit dashboard
- LangGraph workflow
- Playwright-based web scraping
Nice fit for Playwright. The failure boundary I would make explicit is snapshot ? diff ? notification: fixed fixtures for price/stock changes, a no-change run that proves no email, and an idempotency key so retries cannot alert twice. That gives you a deterministic regression...
Cross-platform React Native (Expo) app for tracking transactions, spending insights, and savings goals — fully offline-first using SQLite, no backend required. Built dashboard visualizations, CSV export, advanced filtering, and dark/light theming. Used TypeScript, Zustand, react-hook-form + zod for validation, and react-native-gifted-charts for insights.
