SlayCanvas — AI Video Research Board | Raza ul Mustafa Project

SlayCanvas — AI Video Research Board

Project Overview

SlayCanvas is a SaaS productivity tool built for content creators, researchers, and marketers who need a smarter way to collect and organize multimedia inspiration. Users can paste video URLs, upload audio files, drop in images, and attach documents — all of which are automatically routed to the appropriate viewer component. The platform supports personal and shared collection boards, a usage quota system with upgrade tiers, and a referral-based earning program. I engineered the core canvas experience, the smart media ingestion pipeline, and the user account system — delivering a seamless, Notion-meets-Pinterest experience for video-first workflows.

Key Features

  • •Smart media auto-routing — paste any URL or file and the platform identifies and renders it correctly
  • •Support for videos, audio files, images, documents, and plain text in a single canvas
  • •Personal collection boards with custom naming and organization
  • •Usage quota tracking with upgrade prompts (e.g., 323/2000 items)
  • •Referral-based 'Refer and Earn' system to incentivize user growth
  • •Board sharing for collaboration and moodboard distribution
  • •Clean, distraction-free canvas UI optimized for deep research sessions

Project Gallery

ROLE

Next.JS Developer

DURATION

2025

TECHNOLOGIES

Next.jsReactTypeScriptTailwind CSSVercel