V.
VIGHNESH KUMBHAR01 / 01

Electro Hub

An AI-assisted component-search platform combining a Next.js application, Prisma data layer, Typesense search, and a Python AI worker.

Active repository

IDX_15K
SEARCH / SIGNALCASE / 02
VERIFIED SOURCE MATERIALNext.js 15 / React 19 / TypeScript

The premise.

Electro Hub is a monorepo that brings together a typed web application, relational data modeling, search infrastructure, and an AI worker for component discovery.

Component discovery is often split across long datasheets, distributor catalogs, and inconsistent part metadata. The project explores a more searchable workflow for engineers.

How it is structured.

The repository evidence points to these observable boundaries and technologies:

  • Next.js web application
  • Prisma database package
  • Typesense search package
  • Python AI worker
  • Playwright and Vitest testing paths
  • CI/CD workflows and project documentation

From idea to system.

  • Workspace scripts cover web build, lint, tests, end-to-end tests, migrations, seed, and an AI worker.
  • The web package combines typed validation, authentication dependencies, search integration, and relational persistence.
  • The repository includes architecture, dataset, QA, deployment, and root-cause documents.
Next.js 15React 19TypeScriptPrismaPostgreSQLTypesenseFastAPI/PythonGoogle Generative AIpnpm

The difficult parts.

  • Coordinating search, database, and AI boundaries without making the frontend own every integration.
  • Keeping data preparation, schema generation, and application build steps reproducible.

What can be said honestly.

  • The repository has 11 commits and includes CI/CD workflow files.
  • The source contains separate web, database, search, and AI package areas.
  • No live demo is claimed here because the repository homepage is unset and its README demo badge uses a placeholder URL.

The project is strongest as a systems-integration case study: useful product behavior emerges from several deliberately separated services.