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Just finished building a small Python tool for monitoring product prices on e-commerce websites.
The idea was simple:
enter a product URL → extract price and availability → save results to CSV.
It’s a small project, but it’s a good example of how Python can automate repetitive data collection tasks.
I’ve been building more tools like this lately — automation scripts, web scraping utilities, and small desktop apps to simplify workflows.
Curious what kind of automation tools other Python developers are working on lately.
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Another productive day — this time showcasing my Hand Gesture Mouse Control project. A Python-based computer vision project that lets you control your computer mouse using hand gestures in real time.
👆 Index finger → Move the cursor
👌 Pinch index + middle finger → Click
Built...
Rimba: AI Automation for Energy & Industrials
Rimba is an AI automation platform for Operations, Supply Chain, and Compliance teams in energy and industrials. Built for Oil & Gas, Power & Utilities, Mining & Metal, Supply Chain and Logistics, Chemicals, and Manufacturing.
For this project, I designed the brand and product interface to turn complex, high stakes workflows into something clear and easy to trust. The result is a system that feels as solid and dependable as the industries it serves.
If you are looking for a designer who can bring clarity to complex products, I would love to work together.
Book a free call: https://cal.com/jayuiux/30min?overlayCalendar=true
The client needed to aggregate millions of vehicle data points across global markets in real-time to find pricing arbitrages. However, their legacy scrapers were constantly blocked by enterprise anti-bot systems (like Cloudflare) and IP bans. The Solution: I designed a distributed, highly scalable data extraction pipeline utilizing rotating proxy clusters, headless browser automation, and Kafka event streaming to feed a centralized Elasticsearch data lake. The Impact: Successfully bypassed strict enterprise-grade anti-bot protections, scaling data ingestion to millions of records per day with 99.9% uptime, unlocking massive revenue through real-time market arbitrage.
