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Hypertube is a full-stack movie discovery and streaming
platform inspired by modern VOD experiences. It combines a polished
Next.js interface with a Django REST backend that aggregates movie
metadata, manages authenticated user activity, resolves playable
public-domain sources, prepares HLS streams, and serves subtitles.
The project was built as a complete web application: users
can browse curated rows, search and filter a movie library, open rich
movie detail pages, save titles to a watchlist, resume viewing from
history, leave reviews, choose a preferred language, and watch available
films through an in-browser HLS player.
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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Bringing interfaces to life with Rive. Smooth interactions, expressive motion, and delightful micro-animations that transform static designs into memorable user experiences.
Amazing😍
What it actually takes to build a multi-tenant edtech SaaS from scratch
Everyone wants to build a SaaS. Few people talk about what happens when 500+ schools hit your system at the same time, each expecting their data to be completely isolated.
I built EduPilotPro, an AI-powered school operating system serving schools across South Asia, the Middle East, and Africa. Here's what the "multi-tenant SaaS" part actually looked like:
Tenant isolation is the first real decision. Every school needs to feel like they own the platform. Their data, their config, their branding. But you're running one codebase, one database cluster, one deployment. We used PostgreSQL with row-level isolation on self-hosted Supabase. Each school gets its own logical boundary without the cost of spinning up separate infrastructure per tenant.
The 8:45 AM problem. Schools don't use software evenly throughout the day. At 8:45 AM, every teacher in every school marks attendance simultaneously. That's a traffic spike that would embarrass most startups. We used Redis + BullMQ to queue attendance writes and process them asynchronously, so the UI stays responsive even when thousands of classrooms hit the system at once.
AI agents, not AI features. We didn't bolt a chatbot onto a school ERP. We built 6 purpose-built AI agents: attendance, admissions, fees, communication, reporting, and scheduling. Each one handles a specific administrative function end-to-end. A teacher types "All students present except Ali who is sick and Ahmed who is 10 minutes late" and the attendance agent parses it, records it, and notifies parents. No forms. No checkboxes.
The stack: Next.js + React + TypeScript on the frontend. Node.js + self-hosted Supabase on the backend. PostgreSQL + Redis + BullMQ for data and queuing. Railway for cloud infrastructure.
What I'd tell any founder about to build multi-tenant SaaS:
Design your tenant model before you write a single feature. Retrofitting isolation is painful.
Assume your traffic will be spiky, not smooth. Queue everything you can.
If you're adding AI, make it do the whole job, not half of it. A half-automated workflow is worse than a manual one because now nobody knows who's responsible.
→ Full case study: EduPilotPro on Contra
Perfect
Union Foot de Touraine Web Platform Engineered a full-stack web application for a regional football club, featuring dynamic news updates and detailed club history. Designed a robust statistics dashboard to track league standings, match results, and individual player performance for the 2024-2025 season. The platform also includes a comprehensive team management interface displaying roster sizes, average ages, and coaching staff across the club's divisions.
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