human context
Relationship intelligence · v1

Where do I know you from?

Human Context turns the people you've met into a living memory graph. Recall the event, the introducer, and the moment — and see who deserves a follow-up now.

How to import
Your data stays yours. Encrypted at rest, never sold, never trained on.
Mara Lin · timeline
SaaStr '23Intro via DanaSeries B chatNOW
Now4 months since last touch

Met at the SaaStr afterparty in 2023, introduced by Dana. Last spoke about their Series B — worth a check-in before the quarter closes.

Why Human Context exists
The problem
Your network outgrew your memory.

LinkedIn knows their job title. Your phone knows their number. Nothing knows where you met them, who introduced you, or what you talked about — the parts that actually matter.

The shift
People live on a timeline, not in a list.

Every relationship is a string of moments — a conference, a job change, a city in common. Human Context strings those moments together so context comes back the second you need it.

The cue
Follow up while it still means something.

The amber node is now. We surface the handful of people who are drifting dormant and the warm threads worth pulling — before the moment passes.

How it works

Bring your contacts, your career, and your calendar. Get back your memory.

01
Import

Drop in your LinkedIn Connections, your Positions.csv, a Google Takeout, or an iCloud vCard. We chunk and stage anything — 200 rows or 20,000.

02
Map

We arrange every person around the events you shared and the cities you've lived in. The graph grows denser as you add context.

03
Ask

Ask the assistant anything — "who do I know in Berlin?", "where did I meet Priya?", "who should I follow up with this week?" — and get answers grounded in your own history.

The people you've met are an asset. Treat them like one.

Start your graph in under five minutes. Free while we're in early access.