A private relationship-centered platform for understanding ourselves, sharing what matters with the people we trust, and remembering how to show up when it counts.
Kinnit helps people document how they want to be known, supported, celebrated, and remembered, then share that context selectively with people they already know in real life. Guided conversations become a living, searchable layer of relationship knowledge: preferences, boundaries, routines, traditions, memories, care needs, conflict styles, values, gifts, and wishes.
The goal is not to move relationships into an app. It is to make the moments outside the app more attentive, personal, and human.
A birthday is in a calendar. An allergy is buried in a group text. A care preference lives in someone’s memory. People rarely fail to care; they fail to remember how to care in the exact moment it matters.
Kinnit turns thoughtful conversations into living, searchable relationship context—then connects that context to planning, reminders, gifts, care, conflict, traditions, and remembrance.
The goal is not to move relationships into an app. It is to help people notice what matters, then leave the app and do something thoughtful in real life.
Answer a thoughtful prompt through voice or text.
Keep the original answer and structure what matters.
Choose exactly which people or circles can see it.
Retrieve the right context when a relationship needs it.
Instead of making every idea compete in one feed, the architecture separates self-knowledge, relationships, meaningful moments, coordination, and legacy. Choose an area to see how the system works.
Kinnit asks people to document material that may be practical, tender, or deeply intimate. Mutual consent, bounded relationships, and user ownership shape the product from the first screen.
No public profiles, followers, searchable directory, engagement feed, or event discovery.
An answer can stay private, go to selected people, or be shared with a trusted circle.
AI is optional and topic-scoped. It cannot pull unrelated personal information into a conversation.
Notifications are off until someone chooses app, email, or calendar reminders.
I have explored the core navigation, conversational surveys, evolving profiles, occasion planning, and high-fidelity interaction flows in Figma, including AI-assisted prototypes. This is product strategy and design work in progress—not a launched product with market outcomes.
See the product vision, problem, opportunity, trust model, and path forward in the full presentation.
View Investor Pitch Deck ↗
