TLDR

Hiring is slow, opaque, and full of guesswork. In the age of AI, talent leaders need tools that let them surface and act on signal faster than ever before.

Icebreaker Teams lets you aggregate and view your trusted team’s Hypernetwork so you can focus on verified, high-trust connections instead of blind sourcing or sifting through noisy inbound.

Learn more about our Beta launch and express interest on our website here. 

Talent is a company’s greatest asset, yet it’s never been harder to find, reach, and hire top candidates.

Over the last several months, we interviewed dozens of talent leaders at technology companies to learn about their recruiting process, from founders hiring solo for the first time, to crypto-native recruiting agencies, to in-house heads of talent with dozens of global job postings. Every conversation reiterates the same bleak reality: talent leaders are operating in a world that is both infinitely noisy and deeply competitive. They all know exceptional talent exists somewhere in their extended network, but have no reliable way to find or reach them.

Two specific problems emerged consistently in our interviews:

1. Talent teams are flooded with fake profiles and AI noise.
   One leader said they “largely disregard all inbound applications” given the volume of low-quality or AI-generated resumes. Another opened a role and saw 6,000 applications overnight and 14,000 over the course of one weekend, largely due to new platforms that advertise heavily on TikTok and Instagram, promising thousands of automated resume submissions for their users. At best, these candidates obfuscate signal and waste valuable resources, at worst, these candidates are using carefully crafted, fake identities, often as part of an elaborate network of malicious actors.  
   

2. Finding the “Golden Egg” candidate still requires lots of guesswork.
   Another leader told us “of course everyone wants the top 1%, but I want the top 0.1%.” Hustling for top talent usually means chasing (mostly lukewarm) leads or spending hours of sourcing on LinkedIn, resulting in an arbitrary candidate list with limited insight into what candidates, if any, come recommended by their peers.

Unsurprisingly, every talent leader reported that their highest-converting candidate channel was warm introductions from their networks.

We know that referrals consistently beat other channels on quality, speed, and candidate close rate, but until now, there hasn’t been a way of mapping, searching, and scaling them. 

That’s why we’re launching Icebreaker Teams: an intelligent network aggregator that gives talent leaders the speed and signal to hire top talent quickly and directly from their team’s trusted network.

Icebreaker lets any user aggregate their existing social networks into a unified social graph. When a company uses Icebreaker Teams, members aggregate their networks to create their team’s Hypernetwork - a verifiable, searchable talent map that instantly surfaces mutuals, quality referrals, and warm introduction paths to top candidates.

Icebreaker Teams brings the scale and coverage of a traditional professional network, with the signal and intelligence of a personal social graph. We’re excited to empower talent leaders with Hypernetwork-driven tools that instantly surface verified, trusted talent and quickly turn “Who do you know?” into “When can they start?”.

Icebreaker Teams is currently live with select design partners at top technology companies. Teams will begin public rollout in October 2025.

Request early access to the Beta here.