Discover and score engineering candidates with Groq, GitHub, LinkedIn, Stack Overflow, HN and Supabase
Ready for 3.0What this workflow does
This AI workflow has 43 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Groq Chat Model and Supabase. It also calls api.apify.com, api.github.com and hn.algolia.com over HTTP.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Normalize Webhook Input (Code): runs custom JavaScript code
- Request Is Valid? (If): checks a condition and branches into true / false
- Extract JD Requirements (AI Agent): runs an AI agent, with model: Model - Groq JD Extraction; output parser: JD Requirements Parser
- Build Invalid Request Response (Code): runs custom JavaScript code
- Build Search Brief (Code): runs custom JavaScript code
- Respond 400 - Invalid Request (Respond to Webhook): sends the response back to the webhook caller
- Search LinkedIn via Apify (HTTP Request): calls api.apify.com (POST)
- Search GitHub Profiles by Role and Location (HTTP Request): calls api.github.com
- Search Stack Overflow Experts (HTTP Request): calls an HTTP API
- Find Latest HN Hiring Thread (HTTP Request): calls hn.algolia.com
…plus 28 more steps. See the full node list below.
Services it uses
HTTP calls to: api.apify.com, api.github.com, hn.algolia.com
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (11)
- Webhook
n8n-nodes-base.webhook - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Respond to Webhook
n8n-nodes-base.respondToWebhook - AI Agent
@n8n/n8n-nodes-langchain.agent - Groq Chat Model
@n8n/n8n-nodes-langchain.lmChatGroq - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - HTTP Request
n8n-nodes-base.httpRequest - Split Out
n8n-nodes-base.splitOut - Merge
n8n-nodes-base.merge - Supabase
n8n-nodes-base.supabase
From the author
Quick Overview This workflow exposes a POST webhook that turns a job description into a structured hiring brief using Groq, searches candidates across GitHub, LinkedIn (via Apify), Stack Overflow, and Hacker News, scores and summarizes the shortlist,…