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Superlink

Superlink is an AI-powered recruiting platform that unifies sourcing, scoring, and outreach into a single workflow. The system automatically analyzes candidates using evidence beyond resumes—including GitHub, Google Scholar, and conference talks—while enabling teams to pool their networks into one searchable graph. Recruiters retain control over every judgment call while the agent handles triage, scoring, and follow-up drafting.

HQ unknown
210+ followers
Updated 10 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Recruiting teams rely on scattered tools and stale data, forcing them to switch between multiple platforms for sourcing, scoring, and outreach. This fragmentation slows down hiring, creates inconsistent candidate evaluations, and makes it difficult to track the full context of each candidate's qualifications and engagement.

Solution

Superlink provides a unified AI-powered recruiting system that combines sourcing, scoring, and outreach in a single interface. The platform's agent works alongside recruiters, reading the pipeline, checking replies, scheduling follow-ups, and drafting personalized outreach messages in the recruiter's voice. Superlink goes beyond traditional resume-based screening by aggregating evidence from GitHub, Google Scholar, X threads, YouTube talks, and other public sources into comprehensive candidate profiles. The system also enables teams to pool their professional networks into one searchable graph, making it easy to identify warm introduction paths for promising candidates.

Target Audience

Primary users are recruiting teams at technology companies, particularly those hiring for technical roles where evidence of real work—such as open-source contributions, research papers, and conference talks—matters more than resume keywords.

Features

  • AI agent that monitors pipeline status, tracks candidate replies, and automatically schedules follow-up communications
  • Evidence-based candidate scoring that fuses data from GitHub, Google Scholar, Hugging Face, YouTube, and X into unified profiles
  • Automated triage and scoring against customizable evaluation rubrics
  • Personalized outreach drafting in the recruiter's voice, with approval workflow before sending
  • Network pooling feature that combines team, founder, investor, and advisor connections into a single searchable graph with credited introductions
  • Real-time pipeline summaries with actionable next-step recommendations
This profile is AI-generated and may contain inaccuracies.