3.9 / 5

Card Connect

Scan business cards, get contacts with LinkedIn profiles linked

Useful

Instant

The Problem

Business cards create data entry burden; contacts lack context; cards get lost

Current Solutions (Not Great)

Manual entry (tedious), CamCard (cloud), LinkedIn scan (limited), lose the cards

Who Needs This

Sales professionals, conference attendees, networkers, business development, anyone who receives cards

Business cards pile up after conferences, networking events, client meetings. Card Connect scans them instantly: captures contact info (name, title, company, email, phone) and enriches it—finds LinkedIn profiles, company information, even recent news about the person or company. One scan creates a complete contact entry with context you can actually use for follow-up. Your networking data stays local; no service is profiling your professional relationships.

Honest Take

Business card scanners are an established category (CamCard, ABBYY), but the market is actually shrinking as digital business cards and QR codes take over. The LinkedIn enrichment angle is smart and could differentiate you. There's still some B2B demand from sales professionals and event attendees, but you're fighting a declining trend.

Monetization Ideas

Ways to turn this into revenue

Freemium

Free basic, $5-15/mo for pro

One-Time Purchase

$9-49 per license

Subscription

$5-29/month or $49-199/year

Features

Key features that make this app valuable

Business card scanning with OCR
Contact field parsing
LinkedIn profile matching
Company information enrichment
Meeting context notes
Follow-up reminders
Export to contacts/CRM
Search across all cards
Tags and categories
Card image archival

Build Prompt

Use this prompt with an AI assistant to start building

Build a React PWA called 'Card Connect' using WebInfer with vision capabilities. UI: camera for scanning, contact detail view, contact list/search, follow-up reminders. Scan flow: camera with card edge detection guide, capture when aligned. Vision model analysis with generateObject returns { name: string, firstName: string, lastName: string, title: string, company: string, email: string[], phone: string[], website: string, address?: string, socialHandles?: object, cardDesignNotes?: string, confidence: number }. Enrichment: based on extracted data, AI generates additional context. Use generateObject: { linkedInSearchQuery: string, companyDescription?: string, industryCategory: string, suggestedTags: string[], potentialConversationStarters: string[] }. Contact detail view: card image, parsed fields (editable), enrichment info, meeting notes field (where did you meet?), follow-up reminder setting. Storage in IndexedDB: all fields, card image, created date, meeting context, tags. List view: all contacts searchable by name, company, tags, meeting context. Follow-up system: set reminder ('Follow up in 1 week'), notification with context. Export: single contact as VCF, bulk export CSV, direct share via Web Share API. CRM mode: tag contacts by deal stage, add notes. Duplicate detection: flag if similar name/email already exists.

Score Breakdown

Pain