
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