See llms.txt for all machine-readable content.

Automate 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.
1οΈβ£ Runs automatically on a daily schedule β°
2οΈβ£ Searches Hacker News discussions via Google using SerpAPI π
3οΈβ£ Extracts titles, summaries, links, and metadata from results π
4οΈβ£ Filters out guidelines, index pages, and non-discussion links π«
5οΈβ£ Aggregates valid discussion threads into a single dataset π¦
6οΈβ£ Uses AI to identify key trends, problems, and founder-relevant signals π§
7οΈβ£ Generates a concise daily founder digest (trend, why it matters, actions) βοΈ
8οΈβ£ Sends the digest automatically via email π§
9οΈβ£ Cleans and normalizes insights for storage π§Ή
π Appends structured founder intelligence to Google Sheets for tracking π
β
Eliminates manual Hacker News scanning
β
Surfaces only high-signal, founder-relevant discussions
β
Converts raw discussions into clear, actionable insights
β
Delivers a daily, skimmable founder digest automatically
β
Builds a historical intelligence log in Google Sheets
β
Creates a repeatable founder research workflow