Block 1 - Main Overview
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Description Automate daily founder intelligence from Hacker News without manual monitoring. This workflow scans Hacker News discussions (Show HN, launches, AI, startu...
n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-serpapi.serpapi, n8n-nodes-base.code, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatazureopenai, n8n-nodes-base.gmail
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.
Original n8n.io sourceAutomate daily founder intelligence from Hacker News without manual monitoring. This workflow scans Hacker News discussions (Show HN, launches, AI, startups, SaaS), filters out noise and non-discussion pages, and extracts only high-signal threads. AI then converts these discussions into a concise, founder-ready daily digest highlighting key trends, why they matter, and practical actions. The digest is delivered via email, while structured insights are logged to Google Sheets for long-term tracking and analysis.
This template is designed for self-hosted n8n installations only. It relies on external MCP tools and custom AI orchestration that are not supported on n8n Cloud.
1๏ธโฃ Runs automatically on a daily schedule โฐ 2๏ธโฃ Searches Hacker News discussions via Google using SerpAPI ๐ 3๏ธโฃ Extracts titles, summaries, links, and metadata from results ๐ 4๏ธโฃ Filters out guidelines, index pages, and non-discussion links ๐ซ 5๏ธโฃ Aggregates valid discussion threads into a single dataset ๐ฆ 6๏ธโฃ Uses AI to identify key trends, problems, and founder-relevant signals ๐ง 7๏ธโฃ Generates a concise daily founder digest (trend, why it matters, actions) โ๏ธ 8๏ธโฃ Sends the digest automatically via email ๐ง 9๏ธโฃ Cleans and normalizes insights for storage ๐งน ๐ Appends structured founder intelligence to Google Sheets for tracking ๐
โ Eliminates manual Hacker News scanning โ Surfaces only high-signal, founder-relevant discussions โ Converts raw discussions into clear, actionable insights โ Delivers a daily, skimmable founder digest automatically โ Builds a historical intelligence log in Google Sheets โ Creates a repeatable founder research workflow
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Create a founder digest and leads from Hacker News with GPT-4o and Gmail |
|---|---|
| Complexity | advanced |
| Nodes | 20 |
| Categories | Market Research, AI RAG |
| Author | Rahul Joshi |
| Published | 05 Jan 2026 |
Use the JSON export at /data/workflows/12499/12499.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Description Automate daily founder intelligence from Hacker News without manual monitoring. This workflow scans Hacker News discussions (Show HN, launches, AI, startu...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI RAG use case.