Learnbay Projects

Public showcase portal where Learnbay students publish the data, AI, and software projects they build during their course. Visitors (including recruiters, who need no login) browse it to find candidates; prospective learners browse it to see what they would build.

The technical build specification is the single source of truth; the Claude Design canvas holds the exact screens.

Deploy

After importing, add a Postgres (with pgvector) and a Blob store from the project's Storage tab (these set DATABASE_URL, DIRECT_URL, and BLOB_READ_WRITE_TOKEN), then follow DEPLOYMENT.md for the migrate → seed → reindex → worker steps.

Stack

Piece	Role
Next.js (App Router, TS)	Pages and backend API routes; SSR for SEO on profiles
PostgreSQL + Prisma	Main database and type-safe data layer / migrations
pgvector	Assistant search vectors, inside the same database
Tailwind CSS	Utility styling matched to the frozen design tokens
Vercel Blob → S3	Certificate file storage (test → production)
Always-on worker	Daily SSRF-safe link checker + AI vector building
Google Gemini (paid)	The assistant's answers

This is the beginning of the README. Read the rest at the original. Read the full README ↗