LinkSync — LinkedIn Contact Intelligence and Recruitment Database
LinkSync is a data processing and relationship-management platform built around LinkedIn networks. It has two distinct objectives:
Help individual users clean, structure, and retain control of their professional contacts
Provide recruitment firms with a searchable, collaborative intelligence database built from their collective networks
The system converts unstructured LinkedIn connections into structured, searchable data that can be used across recruitment, sales, and professional workflows.
Context and Problem
LinkedIn is the primary source of professional relationship data, but it offers limited tools for:
- Cleaning and standardising contact information
- Searching connections beyond basic filters
- Integrating contacts into Outlook, CRM, or mobile devices
- Sharing network intelligence within recruitment teams
As a result, valuable relationship data remains fragmented, inconsistent, and underused.
The Solution
We designed and built a secure platform that processes a user’s LinkedIn connections and converts them into a structured, portable relationship database.
The system focuses on data quality, searchability, and controlled sharing, while ensuring users retain ownership of their data.
Core Capabilities
Data extraction and normalisation
The platform processes available LinkedIn connection data and structures it into consistent, usable fields, including:
- Contact details (email addresses, phone numbers converted to international format)
- Employment and education history
- Current employment status, inferred from role dates
- Languages spoken
- Skills and professional background
Data is cleaned and normalised to ensure consistency across regions and formats.
Searchable relationship intelligence
All processed data is indexed within a secure dashboard, allowing advanced queries such as:
- Identifying candidates by role, language, seniority, and employment status
- Searching across current and former employers
- Filtering by skills, education, geography, or availability
This enables users to answer complex questions quickly, rather than manually reviewing profiles.
Export and portability
To ensure data remains usable outside the platform, LinkSync supports multiple export formats:
Full XLSX export
- A complete dataset for analysis or integration into other systems.
Outlook-optimised CSV
- Correctly mapped fields for seamless Outlook import, with additional context summarised in contact notes.
VCF (vCard) export with photos
- Includes profile images where available, allowing visual recognition on mobile devices when calls are received — particularly useful for recruiters and relationship-driven roles.
Recruitment firm collaboration
For recruitment businesses, LinkSync supports controlled data sharing across teams:
- Individual recruiter networks can be combined into a firm-wide database
- Sharing can be configured horizontally (peer-to-peer) or vertically (management visibility)
- Access controls ensure compliance and respect individual data ownership
This transforms isolated personal networks into a shared talent and client intelligence asset, reducing duplication and improving sourcing efficiency.
Benefits
For individual users:
- Clean, structured contact data across devices
- Faster retrieval of contacts by skill, role, or context
- Improved recognition through synced contact photos
- Consistent international phone number formatting
For recruitment teams:
- A unified, searchable candidate and client database
- Faster sourcing using combined network intelligence
- Reduced reliance on manual profile searches
- Improved collaboration without data leakage
Ideal Users
- Recruitment and executive search firms
- Sales and business development teams
- Consultants, entrepreneurs, and relationship-driven professionals managing large networks
Summary
LinkSync turns LinkedIn connections into structured relationship intelligence.
For individuals, it provides clean, portable, and searchable contacts.
For recruiters, it creates a collaborative database built from real networks rather than scraped profiles.
The result is better data quality, faster insight, and stronger use of professional relationships — without losing control of the underlying data.