How Orbit thinks
Orbit is not another contact list. It is a living map of people — resolved to one person, scored by real interaction, searchable in language you already use.
The loop
- Import — pull people from apps you already use
- Enrich — fill titles, companies, LinkedIn, history
- Search — ask in natural language across your graph
- Capture — add who you just met (voice, text, photo)
- Signals — notice when the graph changes
One person, many identities
The same human might appear as:
- a LinkedIn profile
- a Gmail contact
- a calendar attendee
- someone you mentioned in a note
Orbit merges those into a single contact with multiple identities underneath. Searching “Sarah at Stripe” should not return three half-empty cards.
Relationship strength
Orbit records interactions — meetings, emails, messages, notes you capture — and uses them to understand closeness. That is why answers can sound like “you met at…”, not just “here is a LinkedIn URL.”
Surfaces share one graph
Mac, web, iPhone, and Text Orbit read and write the same network. Capture on phone → search on Mac. Import on Mac → browse on phone.
Day-1 tip: import the source with the densest graph first (usually LinkedIn on Mac). Search quality follows coverage.
