π§ What We Learned
Trust isnβt a feature β itβs a graph problem. To scale meaningful intros, we had to rethink the data model and start from cryptographic verifiability.
Search is broken in professional networks. People donβt want to scroll through resumes β they want intent-aligned results with context and reachability baked in.
LLMs are powerful when grounded. Vector embeddings gave us semantic precision, but combining them with trust path filters made the results actually actionable.
π§± Tech Stack
Vera is built using a modern, scalable, and developer-friendly web stack optimized for speed, modularity, and rapid iteration.
βοΈ Core Frameworks & Languages
Next.js β React-based fullstack framework, optimized for server-side rendering and edge deployment
TypeScript β Strongly typed superset of JavaScript for safety and maintainability
React β Component-based UI library for building interactive, declarative user interfaces
πΎ Data & Backend
Neon β Serverless PostgreSQL database, optimized for edge functions and low-latency queries
Custom Auth Context β Lightweight authentication layer using React context (src/contexts/AuthContext)
REST / RPC-style API Routes β Built with pages/api/*, leveraging Next.js API routing
πΌοΈ UI / UX
lucide-react β Feather-style icon library for lightweight, consistent visuals
next/font β Optimized font loading (Geist font family) via Next.js
CSS Modules / Global CSS β Scoped styling with global overrides via globals.css
π§ͺ Dev Tools & Package Management
Compatible with yarn, npm, pnpm, or bun
Uses structured TypeScript project references and feature-based folders (e.g., /lib, /contexts, /components)
π Deployment & Hosting
Vercel β Instant deploys, preview environments, edge performance, and seamless integration with Next.js
Built With
- next
- typescript
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