Carte: Digitizing Networking with On-Device Intelligence

Overview

Carte transforms physical business cards into a searchable, privacy-first digital network. As a solo project, I owned the entire product lifecycle—from user research and design to development and App Store launch.

Background

The Problem: At an international conference, I collected dozens of business cards from diplomats and delegates—then couldn't find the right one when I needed it. This personal frustration revealed a broader issue: professional networking in 2025 is still frustratingly manual.

Market Context: 27 million business cards are printed daily in the U.S., with most becoming clutter within weeks. Professionals lack effective tools to organize, search, and activate their networks.

Design Opportunity: Existing solutions either focus narrowly on scanning OR push fully-digital alternatives requiring mass adoption. The gap? A bridge between physical cards and intelligent relationship management.

Empathize

My Experience

Collecting dozens of cards at conferences revealed the core insight: the problem isn't storage—it's turning scattered contacts into an active, searchable network that delivers professional value.

Pain Points Identified

Desk research

Competitive Analysis

I mapped existing business card solutions across scanning capability, relationship management, and user experience.

Key finding: No solution connects instant capture with long-term relationship management while staying simple for busy professionals.

User interview

I conducted casual interviews with 8 professionals—including conference attendees, consultants, and organization reps—to validate my assumptions.

Key Insights:

Contact Chaos: Everyone used fragmented systems (phone contacts, Excel, folders) that didn't scale

Follow-up Gaps: 6 of 8 rarely followed up within a week of meeting

Context Loss: Most forgot where they met contacts or conversation details

Underused Networks: Users saw value in their networks but lacked tools to unlock opportunities

Reframed Problem: Design a system that preserves relationship context and drives ongoing engagement—not just digitize cards.

Ideate

Design Principles

Immediate Capture: Zero-friction contact entry

Rich Context: Preserve meeting details and notes

Active Relationships: Surface follow-ups and connection opportunities

Feature Prioritization

Market Analysis Portfolio Visualization

Core User Flows

1. Contact Capture: Photo → OCR → Add context (event, notes) → Save

2. Contact Management: Search → Filter → View profile with history → Organize

3. Network Activation: Review reminders → Spot opportunities → Track relationships

Prototype

Design Philosophy

Mobile-first design optimized for one-handed use at events, with:

Visual Hierarchy: Primary actions (add, search) prominently placed

Low Cognitive Load: Clear navigation with obvious next steps

Professional Aesthetic: Clean, business-ready interface

Speed & Clarity: Every interaction designed for busy professionals

Technical Innovation: Privacy-First Parsing

Design Challenge: Traditional OCR fails on complex layouts and compromises privacy by sending data to cloud servers.

Solution: I designed a two-stage pipeline using Vision Framework for OCR + on-device Foundation Models (Apple Intelligence) for semantic parsing—keeping all sensitive data on the user's iPhone.

Impact: Accurate parsing across languages/formats while maintaining 100% privacy compliance.

Final result

Shipped Features

✅ Privacy-First Parsing: One-tap capture with on-device AI—no data leaves the device

✅ Smart Organization: Tag by event/project with powerful contextual search

✅ Latinization Support: Convert Chinese/Japanese/Korean scripts for easier search

✅ Meeting Context: Auto-capture where and when contacts were met

✅ One-Click Follow-Up: Direct integration with Mail, WhatsApp, Messages

✅ Transparent Onboarding: Clear messaging about privacy and Apple Intelligence requirements

Market Positioning

Target: iOS 26 + Apple Intelligence users (iPhone 15 Pro+, iPhone 16 series)

Status: Live on App Store

Achievement: First-mover in Offline AI-powered, privacy-first contact management

Reflections

What Worked

Personal pain point drove authentic empathy and problem understanding

Focused MVP enabled rapid validation and iteration

Privacy-first approach differentiated from competitors and aligned with user values

Solo ownership allowed quick decisions and tight design-development integration

What I'd Improve

Earlier usability testing to surface UI friction sooner

Stronger onboarding to communicate value proposition immediately

Network effect design to help early users see long-term value

Key Learnings

Solve real problems: Start with genuine pain, not abstract concepts

Augment, don't replace: Great design enhances existing behaviors rather than forcing new ones

Context is everything: Professional tools must prioritize reliability and efficiency

Constraints drive focus: Solo work sharpened prioritization on essential features

Future Vision

AI-driven relationship insights and connection suggestions

Calendar/email integration for automated relationship tracking

Network visualization to reveal hidden opportunities

Team collaboration for shared networks

The Takeaway: Powerful product design doesn't always replace analog rituals—it makes them dramatically more effective.