What is Icebreaker Teams
Icebreaker Teams lets hiring teams search their collective professional network to surface referral candidates through warm introductions.
Icebreaker Teams is a hiring intelligence platform that aggregates your team's professional networks so you can find referral candidates already connected to your team and reach them through warm introductions.
The best candidates are already in your network. Icebreaker makes them visible.
Real, Trusted, Reachable
Every result in Icebreaker is described by three qualities:
Real -- verified connections from LinkedIn, GitHub, and X/Twitter, not cold database records.
Trusted -- people your team has actually worked with, collaborated alongside, or has meaningful shared history with. Not just follows.
Reachable -- clear intro paths through your team's network. You can see exactly who to ask to make the introduction.
How it works
Sync
Each team member connects their LinkedIn, GitHub, and X/Twitter accounts. Their connections become part of your shared team graph.
Search
A single search covers everyone's connections simultaneously. You can search conversationally in the Chat tab, or use structured filters in the Network tab.
Send
Every result shows who on your team knows the candidate and the path to reach them. You request an intro or reach out directly.
What you can do
- Search your team's combined network by role, skill, company, or location
- Find warm intro paths to any referral candidate or prospect
- Manage candidate lists to track searches and share across the team
- Request introductions through the platform
- Enrich profiles with contact information and current role data
- Receive Slack and email updates with network activity and intel
Who it's for
Icebreaker Teams is built for hiring teams at startups and growth-stage companies. It works best when your team is actively hiring and has meaningful professional networks on LinkedIn, GitHub, or X/Twitter.
Next steps
- Getting Started -- connect your accounts and invite your team
- Searching Your Network -- how to run searches and read results
- Warm Intros -- how to request and send introductions
Updated 3 months ago