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Full-Stack SaaS | React.js, Node.js APIs Shipping Platform– ShipZen
Project description.
ShipZen (PackPusher) is a MERN Stack logistics SaaS platform built with MongoDB, Express.js, React.js, and Node.js to streamline global shipping and shipment management. The platform provides multi-carrier tracking, shipment monitoring, transaction history, secure payout logs, and developer-friendly API access. Features include real-time webhooks, API integrations, developer documentation, account management, and shipment analytics. Designed for scalability and high-volume operations, the system delivers secure, transparent, and cost-effective logistics management
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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From 125 to 132, growing, slowly but gradually and I also (finally), landed my first project here on Contra after 7 months. YAY!
Gotta keep hustling!
im also grinding for that, congrats to you
𝗧𝗵𝗿𝗲𝗲 𝗧𝗵𝗶𝗻𝗴𝘀 𝗜 𝗖𝗵𝗲𝗰𝗸 𝗕𝗲𝗳𝗼𝗿𝗲 𝗟𝗮𝘂𝗻𝗰𝗵𝗶𝗻𝗴 𝗔𝗻𝘆 𝗪𝗲𝗯𝘀𝗶𝘁𝗲
Before a website goes live, I never consider the job "finished" until I've checked three areas:
1. 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲
Fast-loading pages create a better user experience and support search visibility.
2. 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝘃𝗲𝗻𝗲𝘀𝘀
Every page should work seamlessly across desktop, tablet, and mobile devices.
3. 𝗨𝘀𝗲𝗿 𝗝𝗼𝘂𝗿𝗻𝗲𝘆
Can a visitor move from landing on the homepage to contacting the business without confusion?
These final checks may seem simple, but they often determine whether a website performs well after launch.
Great checklist! I'd add one final step before launch: make sure the website is search-ready. I've seen many beautifully designed websites struggle because they miss essentials like proper indexing, internal linking, schema markup, and a plan for earning quality backlinks. A...
I built OmniBot AI, a full-stack dashboard designed to simulate and test automated WhatsApp Business workflows powered by AI. It bridges the gap between raw data storage and real-time LLM grounding.
Key implementation details:
• Knowledge Base Engine: Implemented a system context pipeline that allows users to write dynamic business rules/FAQs and sync them directly into vector context for the bot.
• Bilingual AI Support: Integrated Gemini AI with explicit prompt routing to automatically detect, process, and reply in both English and Arabic.
• Live MongoDB History Stream: Built a real-time JSON log viewer on the frontend that streams database updates, tracking session language, token usage, and cache success states.
• Infrastructure Analytics: Developed a monitoring component to track total synchronization logs and calculate average API response latency (optimized down to 1.2s).
Tech Stack: MongoDB, Express.js, React, Node.js, and Google Gemini API.
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