I built a LinkedIn network analyzer in 6 days using science from 1973. Here's what I found.

Nahrin — Tue, 24 Mar 2026 20:55:06 +0000

Most job seekers apply to hundreds of jobs and hear nothing back.

The research explains why. A 2022 experiment on 20 million LinkedIn users proved that the people most likely to get you a job aren't your close contacts — they're the people you barely know. Weak ties. Granovetter proved this in 1973 and it was just causally validated at scale.

The problem: there's no way to see this structure in your network. Your LinkedIn connections list is just names.

So I built the map.

Navox Network — drop your LinkedIn CSV export and get:

Your entire network as a force-directed graph scored by tie strength
Structural bridges identified — your rarest, most valuable connections
Gap analysis showing what's missing
Outreach queue telling you exactly who to contact first
AI coach that knows your actual network

100% free. Open source. Your data never leaves your browser.

🔗 Try it: https://www.navox.tech/network
⭐ GitHub: https://github.com/navox-labs/network
🚀 Launching today on ProductHunt — would love your support: https://www.producthunt.com/products/navox-network?utm_source=other&utm_medium=social

Built with Next.js 14, TypeScript, react-force-graph-2d, d3-force, PapaParse. No backend. No database. No auth.

Ask me anything about the tie strength algorithm or the graph architecture.

DEV Community: Nahrin

I built a LinkedIn network analyzer in 6 days using science from 1973. Here's what I found.