Dream LMS
Live classes, payment integrations and in-app courses, one LMS, zero plugins.
What we built.
Dream LMS is a full-scale learning management SaaS built for a UK client who wanted to sell courses and host live classes, all inside one platform. It allows instructors to upload recorded lectures, run live sessions, and manage students from one dashboard. Students benefit from a structured, distraction-free experience with access to courses, quizzes, and progress tracking. Payment integrations handle course enrollment directly within the platform.
- In-platform live classes
- AI-generated quizzes
- Recorded lecture library
- Payment integrations for course enrollment
- Instructor and admin dashboards
- Student progress tracking
The outcome.
Real numbers from the live product, measured at launch and after 90 days.
Live, recorded, payments, and grading.
In-platform live sessions without external links.
Quizzes auto-built from uploaded lecture content.
Admin, instructor, and student dashboards.
Where founders got stuck.
The main challenge was embedding live classes directly into the platform so instructors could run sessions without sending users to external links. Another challenge was implementing AI-based quiz generation by analysing uploaded lecture content. Ensuring stability, security, and smooth real-time interactions across these features required careful system architecture. The client was sourced via direct outreach.
How we shipped it.
Curriculum-first architecture
Modelled courses, modules, sessions and assessments before designing a single screen.
Live-class spike
Tackled the live-class integration early so the riskiest piece was de-risked before UI polish.
AI quiz pipeline
Lecture content feeds into question generation with an instructor approval queue.
Launch and creator onboarding
Shipped, onboarded the first cohort of instructors, and trained their ops team on the admin console.
Inside the product.
Built on what scales.
Production-grade tools we trust to run real businesses. Every layer transfers to you on launch.
Figma
Node.js
Next.js
MongoDB
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