Case Studies
Discover how we've helped startups and businesses launch their MVPs quickly and efficiently.
Property Management Platform (MVP build)
The Challenge
A proptech founder needed a system to track properties, leases, and rental payments—with multi-language support and real-time payment reminders.
Our Solution
We built a full-stack MVP in 2 weeks that supports rental tracking, lease management, and automated rent alerts. Included analytics dashboards with report generation and multi-language UI (English + Arabic).
Outcome
Launched to a private beta. Helped the founder validate demand and onboard real landlords with no manual overhead.
Vector PDF Optimizer (Event-Driven Backend)
The Challenge
Client needed an automated way to optimize vector-heavy CAD PDFs as soon as they were uploaded. Manual workflows were costly and slow.
Our Solution
We built a serverless pipeline using S3 and AWS Lambda. It detects uploads and optimizes PDFs in real time, dramatically cutting file size while preserving precision.
Outcome
Fully automated, cost-efficient, scalable system—now processing thousands of files per month with zero human intervention.
Credit Card Optimizer App (Mobile MVP)
The Challenge
A fintech founder wanted to help users maximize credit card rewards and cashback but needed a lightweight MVP to test the idea on mobile.
Our Solution
We built a cross-platform mobile app using Expo + React Native. Users can upload or sync credit card statements, which we analyze using OpenAI to classify spending categories. A backend service built with Hono handles auth, statement ingestion, and reward offer logic.
Outcome
Delivered MVP in 2 weeks. Helped the founder test real user behavior and get early feedback on reward recommendations and app UX.
LLM Conversation Archiver (Minimal MVP)
The Challenge
Early adopters of ChatGPT and Claude needed a way to privately archive their conversations but existing tools lacked data ownership and security.
Our Solution
We built a lightweight MVP that lets users scrape and save their LLM chats directly to their own Google Drive. Used a proxy + AWS Lambda (Function as a Service) combo to sensibly and scalably scrape ChatGPT and Claude pages without violating rate limits.
Outcome
Deployed within 10 days. Gave users full control over their data with zero vendor lock-in. Helped validate demand for private, self-hosted LLM tooling.