Local-first relationship intelligence

The relationship graph stays fast and close.The factual state can still follow you to another device.

The current architecture keeps IndexedDB as the local performance and cache layer while securely persisting the factual graph to the cloud. A fresh device can restore those facts and recompute the same intelligence without requiring the original LinkedIn ZIP.

Current architecture

Local-first does not mean local-only.

RelationshipsIQ separates the source archive, the derived factual graph and the intelligence calculated from that graph. Each layer has a different job.

01

User-provided source archive

The certified current input is a LinkedIn data export supplied by the user. It is parsed to derive relationship facts.

02

Local graph + cache

IndexedDB remains the local performance layer for fast graph access, restore and offline behavior.

03

Secure factual persistence

Cloud state stores the factual inputs required to rebuild the network under tenant isolation and row-level security.

04

Intelligence recomputes

Radar, Runway, Companies & Paths and the broader intelligence layer are recalculated from restored facts instead of trusting stale saved scores.

05

Message bodies are excluded

The relationship model uses communication metadata while avoiding retention of private message body content.

06

User verification survives

Your explicit corrections and relationship context remain first-class inputs rather than cosmetic labels.

Desktop packaging

This page describes the architecture—not a generally available installer.

A packaged local/desktop distribution remains a valid product surface, but the public website should not present a downloadable executable until there is a signed, updateable distribution to offer. The current usable product path is the web application architecture with local-first storage and cloud continuity.

Want local/desktop packaging?

Tell us what environment or privacy requirement is driving it.

That requirement can shape packaging without changing the core relationship-intelligence model.