Paste any job posting to find warm network referrals automatically.
What it does
Scans connected user accounts across Gmail, LinkedIn, Twitter, Instagram, and Outlook to construct a multi-graph network model.
Parses pasted job posting URLs to match target company roles against mapped first and second-degree connections.
Surfaces mutual acquaintances and former colleagues who can provide warm candidate referrals or intros.
Generates contextual introduction requests designed to help users initiate outreach without awkward cold messaging.
Why it works
Second-degree social graph mapping uncovers hidden intro paths that standard direct connections miss.
Multi-platform integration aggregates fragmented email and social media contacts into one unified graph.
Job URL parsing instantly extracts hiring company metadata without requiring manual data entry.
Powered by underlying Y Combinator (W24) relationship technology from Happenstance AI.
Paste any job posting to find warm network referrals automatically.
Overview
Sidedoor is an AI-driven relationship intelligence tool designed to bypass cold job application queues by mapping warm referral paths. Users paste any job posting or web URL, and Sidedoor scans connected personal and extended social graphs—including Gmail, LinkedIn, Twitter, Instagram, and Outlook—to surface direct or second-degree connections. By identifying mutual contacts and colleagues who can introduce the user, Sidedoor turns cold job hunting into targeted warm introductions, significantly boosting response and interview rates.
Founded year:2026
Founder:Jerry Feng
Team size:2-10
Popularity:Launched on Product Hunt in July 2026, reaching top daily products with 120+ upvotes.
HQ:San Francisco, California, United States
Status:Active
Funding status:Funded
Customer type:B2C
Funding:$500k ARR / YC W24 (via Happenstance AI)
Pricing:Freemium
Tech stack:React, Next.js, Node.js, Graph Networks, OAuth 2.0, Happenstance AI API
Platform:Web
Integrations:Gmail, LinkedIn, Twitter/X, Instagram, Outlook, Google Calendar
What it does
Scans connected user accounts across Gmail, LinkedIn, Twitter, Instagram, and Outlook to construct a multi-graph network model.
Parses pasted job posting URLs to match target company roles against mapped first and second-degree connections.
Surfaces mutual acquaintances and former colleagues who can provide warm candidate referrals or intros.
Generates contextual introduction requests designed to help users initiate outreach without awkward cold messaging.
Who it's for
Active & Passive Job Seekers
Tech & Professional Industry Career Changers
Recent University Graduates & Early Career Professionals
Freelancers Seeking Internal Company Champions
Why it works
Second-degree social graph mapping uncovers hidden intro paths that standard direct connections miss.
Multi-platform integration aggregates fragmented email and social media contacts into one unified graph.
Job URL parsing instantly extracts hiring company metadata without requiring manual data entry.
Powered by underlying Y Combinator (W24) relationship technology from Happenstance AI.
Founder story
Sidedoor was created by Jerry Feng in 2026, powered by relationship intelligence infrastructure from Happenstance AI (YC W24). Observing that job applicants were grinding through hundreds of cold applications while often sitting just one or two connections away from someone who could refer them, Feng built Sidedoor to map extended social graphs across platforms and make those hidden referral paths immediately visible.
Alternatives
Comparison overview
Sidedoor maps second-degree connections across personal social and email accounts to surface job referrals, whereas standard job boards focus exclusively on cold direct resume submissions.
Sidedoor utilizes cross-platform contact graphing from Gmail, Twitter, and LinkedIn, while LinkedIn native search restricts connection discovery strictly to its own platform data.