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🚀 Built Deploy Doctor for the Zerops Challenge.
Deploy Doctor analyzes GitHub repositories, detects the technology stack, identifies deployment risks, and generates a Zerops-ready configuration automatically.
The goal is to help developers reduce deployment errors and move from repository to production with confidence.
Key Features:
• Repository Analysis
• Stack Detection
• Deployment Risk Assessment
• Automated Zerops Configuration Generation
• Deployment Readiness Reports
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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A clothing website should make you want to SHOP not just scroll.
I built Oluwasegun Clothing Hub as a complete fashion e-commerce experience, with 80+ products across Men, Kids & Streetwear.
Instead of throwing products into a basic grid, I focused on:
Curated collections
Trending & new-arrival sections
Outfit combinations
Clear pricing & offers
Mobile-friendly shopping experience
A storefront that feels like a real fashion brand
The goal was simple
Make the website feel like a boutique, not a template.
I’m proud of how this one came together.
If you were building this for a real clothing brand, what ONE feature would you add next?
#WebDevelopment #Ecommerce #NextJS #UIUX #FrontendDevelopment
Love the curated collections layout, looks super clean 🔥
I’ve officially launched StoryMint🚀
Turn one rough idea into a connected visual story - from planning the content to generating and editing the final carousel.
You can now support the launch on both platforms:
Peerlist: https://peerlist.io/vaibhavgareja/project/connected-story-ai-carousel-generator
Product Hunt: https://producthunt.com/posts/storymint-2/maker-invite?code=AO1IjN
And if you have a minute, try StoryMint → http://story-mint.com
Would genuinely love your feedback. What would you improve?
Looking too nice
Built an AI-powered Log Analyzer using Python and FastAPI to automate log analysis and troubleshooting. The system processes application/system logs, performs rule-based analysis, and uses an LLM to identify problems, root causes, severity, possible causes, and recommended actions. Exposed the functionality through REST APIs with structured Pydantic responses for reliable and consistent results.
Tech: Python, FastAPI, LLM/Ollama, Pydantic, REST APIs, Log Parsing, Prompt Engineering, Git.
