Nahrin Oda

Navox Network - The privacy-first network CRM built on weak-ties research.

Navox Network imports your data connections and maps your network as a graph. It surfaces dormant weak ties, identifies sourcing gaps by industry, and ranks your outreach queue, all backed by Granovetter (1973) and a 2022 Science paper studying 20M LinkedIn users. This adds the full CRM: contacts table, Kanban pipeline, AI-drafted outreach, and encrypted backup. Everything runs in your browser, no server, no account, no data ever leaves your device. Free to visualize. $39/mo to activate the CRM.

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Nahrin Oda
Hey Product Hunt! Nahrin here, maker of Navox Network. Two months ago I launched V0 here — a free network visualizer that hit #15. What I didn't expect: 30+ recruiters, career coaches, and EAs reached out asking for a CRM version. So I built one. This launch adds the full CRM layer: contacts table, Kanban pipeline, AI-drafted outreach, encrypted backup, and relationship timeline. Every feature maps back to Granovetter's weak-ties research — the 1973 finding (confirmed by a 2022 Science paper studying 20M LinkedIn users) that your peripheral connections are more valuable for opportunities than your close ones. The architecture hasn't changed: everything stays in your browser. No server, no account, no data ever leaves your device. That was non-negotiable — recruiters handle sensitive relationship data. Free tier gives you the full graph, gap analysis, and outreach queue. $39/mo or $149 lifetime (first 100 founding members) unlocks the CRM. I'd love to hear: what's missing? What would make this part of your daily workflow? Happy to answer anything about the research or the architecture.
Nahrin Oda

The ranking is based on an activation priority score that intentionally puts weak ties first — directly implementing Granovetter's theory and the Rajkumar et al. (2022) findings.

How it works:

1. Tie strength is calculated from two components: relationship depth (60%) and recency (40%). Depth follows a bell curve peaking at ~2 years — new connections score low, 6-month to 2.5-year connections score highest, and older ones gradually drift down. Recency tracks how fresh the connection is.

2. Activation priority then flips the intuition: weak-to-moderate ties (0.1–0.5 strength) get a significant bonus (+0.3) because that's the "sweet spot" from the research — the zone where Rajkumar's LinkedIn experiment showed connections are ~2x more likely to lead to job mobility.

3. Bridge detection adds another +0.3 bonus. If someone is in an industry cluster with 3 or fewer people in your network, they're a "bridge" — your only path into that sector. Per Granovetter: "No strong tie is a bridge."

4. Network position (bridge > explorer > anchor > dormant) adds a final layer.

The result: a weak tie to a bridge connection scores 0.79, while a strong tie to someone in your dominant industry scores 0.29 — nearly 3x higher priority. The queue shows your top 10 ranked this way.

If you've uploaded LinkedIn enrichment data (messages, endorsements, recommendations), those layer on as additional signals — bidirectional messaging adds +0.15, recommendations +0.07.

The core insight: the people you should reach out to first are probably not your closest contacts — they're the ones you barely remember but who connect you to entirely different parts of the professional world.

@dmitrii_volosatov