A full-stack construction management platform built for an industrial contractor to replace fragm...

A full-stack construction management platform built for an industrial contractor to replace fragm...A full-stack construction management platform built for an industrial contractor to replace fragm...

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Muhammad Usman

• Aug 24

A full-stack construction management platform built for an industrial contractor to replace fragmented spreadsheet-based workflows with one centralized production system.

Built a T&M estimating system with crew-based labor and cost/billable rate calculations, GPS-verified field time tracking, per-diem and cost-code allocation, purchase order and commitment tracking, cost reporting, payroll processing, client-facing billing views, and invoicing.

The platform includes 28 modules, 9 permission roles, REST APIs, and print-ready PDF/Excel exports, and was shipped iteratively while being used in daily production.

Stack: Laravel 12 · PHP 8.3 · MySQL · Alpine.js · Tailwind CSS · REST API

Backend Development Data Engineering Laravel MySQL Tailwind CSS Full Stack Development

Paul Fadayo

pro

• Aug 21

Biggest Advantage into Software Engineering with AI is still the fundamentals.

Completed work

Software Development CapCut Instagram TikTok ai learning eLearning Development Full Stack Development

Ayomide Adeoye

• Aug 22

Yep. AI writes the code, but you still need a human to make sure it actually makes sense...

Vaibhav Gareja

• Aug 21

Redesigned my portfolio today.

Tried to make it cleaner, more focused, and better reflect the work I’m building.

Would love to get some honest feedback on it.

Feel free to roast it. What would you change? link - https://vaibhav.gareja.in/

Web Design Web Development Next.js Tailwind CSS

Jay Borad

• Aug 21

Much cleaner. The “founder ideas → real products” positioning is clear almost immediately, and the work section is easy to scan.

I’d probably trim a little text further down, but overall this feels much more focused.

Pratham Singh

• Aug 21

Know it all, with your own company brain.

Introducing Theia. Built with the team on HydraDB to bring high-precision, graph-native intelligence to your enterprise data.

It addresses the fundamental failure modes of traditional vector RAG by unifying dense semantic vector search with graph-native identity resolution, reified topic ontology, and temporal conflict supersession.

You can check it out here: Github: Theia

Completed work