Hacker News and Slack integration

📘 Description This workflow automatically detects new product launches posted on Hacker News under “Show HN,” evaluates their launch strength, converts each launch into a tracked Asana task, and generates a clean daily founder digest delivered via Slack and email. The system runs on a daily schedule, fetches recent Show HN posts directly from Hacker News, filters for real launch signals, extracts structured launch metadata, and scores each launch based on engagement indicators such as points, comments, and context. Every detected launch is immediately logged as an actionable Asana task with full context for follow-up. All launches are then aggregated and analyzed by an AI engine that produces two outputs: a compact, skimmable Slack digest and a structured, email-ready launch briefing grouped by signal strength. Any workflow failure triggers a real-time Slack alert with diagnostic details. This workflow replaces manual Hacker News monitoring, launch tracking, task creation, and digest writing with a fully automated launch intelligence and execution pipeline. ⚙️ What This Workflow Does (Step-by-Step) ⏰ Trigger Daily Show HN Launch Scan Runs automatically on a daily schedule. 📰 Fetch Recent Show HN Posts from Hacker News Pulls the latest “Show HN” posts using native Hacker News data. 🔍 Filter Likely Product Launch Announcements Scans titles and descriptions for launch indicators such as: • Launch • Beta • v1 • API • Platform • Tool 🧠 Normalize Launch Metadata and Score Signal Strength Extracts and structures: • Product name • Description • Product URL • Hacker News discussion link • Author and publish date • Points and comments Assigns launch strength (High / Medium / Low). 📋 Create Asana Task for Detected Product Launch Creates a follow-up task with: • Full launch context • Engagement metrics • Signal strength • Direct links • Auto-assigned due date 📦 Aggregate Launch Items for Digest Generation Combines all detected launches into a single dataset for analysis. 🧠 Generate Daily Founder Launch Digest (AI) Creates: • A Slack-ready daily launch summary • A clean, structured, email-ready digest • Grouped by launch signal strength 🧠 LLM Reasoning Engine for Launch Digest Ensures clarity, structure, and readability across outputs. 🔄 Parse Digest Output into Slack and Email Payloads Separates AI output into delivery-ready formats. 📣 Send Daily Founder Launch Digest to Slack Posts the daily launch summary to Slack. 📧 Send Daily Founder Launch Digest via Email Delivers an inbox-optimized version of the launch digest. 🚨 Error Handler Trigger → Slack Alert Any workflow failure sends a detailed Slack alert with node name, error message, and timestamp. 🧩 Prerequisites • Hacker News API access (n8n HN node) • Asana OAuth credentials • Azure OpenAI API credentials • Slack API credentials • Gmail OAuth credentials • n8n schedule trigger enabled 💡 Key Benefits ✔ Detects real product launches automatically ✔ Scores launch strength using engagement signals ✔ Converts launches into actionable Asana tasks ✔ Produces clean Slack and email digests daily ✔ Eliminates manual Hacker News monitoring ✔ Maintains consistent launch intelligence flow ✔ Provides instant error visibility via Slack 👥 Perfect For Startup founders Product scouts and VC analysts Growth and partnerships teams Innovation and market research teams Anyone tracking early-stage product launches without manual effort

Price Anomaly Detection & News Alert (Marketstack + HN + DeepL + Slack) Overview This workflow monitors a stock’s closing price via Marketstack. It computes a 20-day moving average and standard deviation (±2σ). If the latest close is outside ±2σ, it flags an anomaly, fetches related headlines from Hacker News, translates them to Japanese with DeepL, and posts both original and translated text to Slack. When no anomaly is detected, it sends a concise “normal” report. How it works 1) Daily trigger at 09:00 JST 2) Marketstack: fetch EOD data 3) Code: compute mean/σ and classify (normal/high/low) 4) IF: anomaly? → yes = news path / no = normal report 5) Hacker News: search related items 6) DeepL: translate EN → JA 7) Slack: send bilingual notification Requirements Marketstack API key DeepL API key Slack OAuth2 (bot token / channel permission) Notes Edit the ticker in Get Stock Data. Adjust N (days) and k (sigma multiplier) in Calculate Deviation. Keep credentials out of HTTP nodes (use n8n Credentials).

Who's it for This template is for teams that want to stay updated on industry trends, tech news, or competitor mentions without manually browsing news sites. It's ideal for marketing, development, and research teams who use Slack as their central hub for automated, timely information. What it does / How it works This workflow runs on a daily schedule (default 9 AM), fetches the top articles from Hacker News for a specific keyword you define (e.g., 'AI'), and uses an AI agent with OpenRouter to generate a concise, 3-bullet point summary in Japanese for each article. The final formatted summary, including the article title, is then posted to a designated Slack channel. The entire process is guided by descriptive sticky notes on the canvas, explaining each configuration step. How to set up In the Configure Your Settings node, change the default keyword AI to your topic of interest and update the slack_channel to your target channel name. Click the OpenRouter Chat Model node and select your OpenRouter API key from the Credentials dropdown. If you haven't connected it yet, you will need to create a new credential. Click the Send Summary to Slack node and connect your Slack account using OAuth2 credentials. (Optional) Adjust the schedule in the Trigger Daily at 9 AM node to change how often the workflow runs. Activate the workflow. Requirements An n8n instance (Cloud or self-hosted). A Slack account and workspace. An OpenRouter API key stored in your n8n credentials. If self-hosting, ensure the LangChain nodes are enabled. How to customize the workflow Change the News Source:* Replace the Hacker News node with an RSS Feed Read* node or another news integration to pull articles from different sources. Modify the AI Prompt:* In the Summarize Article with AI* node, you can edit the system message to change the summary language, length, or tone. Use a Different AI Model:* Swap the OpenRouter node for an OpenAI, *Anthropic, or any other supported chat model. Track Multiple Keywords:* Modify the workflow to loop through a list of keywords in the Configure Your Settings* node to monitor several topics at once.