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The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I updated my portfolio to a more modern design with real live demos and case studies from 10+ years of work in digital marketing and AI
Check it out: https://saminpanah.com/
My tech stack looks completely different today than when I first started, and rightly so.
This is largely influenced by industry demands and better tools.
Two years ago, Claude wasn't doing half of what it does now. Today, it’s a core part of how so many of us work.
Even as tools change, the core principles stay the same:
⭐ Personalize everything to the team's real workflow.
⭐ Keep your data clean and structured early.
⭐ Design for edge cases before you launch.
⭐ Choose simple, efficient setups over complex ones.
⭐ Always focus on delivering the actual result.
Businesses will always adopt new tools as they grow, but real value will always come down to efficiency.
#AI #Automation #CRM
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...