Loading page
How it works Automatically generates trending LinkedIn content topics using AI Researches current industry angles and hooks Writes posts in your authentic voice using OpenAI Creates professional images with DALL-E Posts everything on schedule without manual intervention Set up steps Connect OpenAI API for content generation and image creation Link LinkedIn API for automated posting Configure scheduling triggers (daily/weekly posting) Customize prompts to match your writing style and industry Set up content approval workflows (optional) Results you can expect 400% increase in profile views within 3 weeks Generate 120+ posts per month vs manual 12 posts Free up 15+ hours weekly for revenue-generating activities Consistent posting schedule that builds audience engagement Professional content that converts followers to clients Time to set up: 30-45 minutes Technical level: Beginner to intermediate APIs required: OpenAI, LinkedIn API Cost: OpenAI usage fees only (approximately $5-15/month) This workflow transforms LinkedIn content creation from a time-consuming daily task into a fully automated system that works while you sleep. Perfect for entrepreneurs, marketers, and content creators who want consistent LinkedIn presence without the manual effort.
by Samuel KimutaiDescription This workflow automates the process of scraping the latest discussions from HackerNews, transforming raw threads into human readable content using Google Gemini, and exporting the final content into a well-formatted Google Doc. Overview This n8n workflow is responsible for extracting trending posts from the HackerNews API. It loops through each item, performs HTTP data extraction, utilizes Google Gemini to generate human-readable insights, and then exports the enriched content into Google Docs for distribution, archiving, or content creation. Who this workflow is for Tech Newsletter Writers: Automate the collection and summarization of trending HackerNews posts for inclusion in weekly or daily newsletters. Content Creators & Bloggers: Quickly generate structured summaries and insights from HackerNews threads to use as inspiration or supporting content for blog posts, videos, or social media. Startup Founders & Product Builders: Monitor HackerNews for discussions relevant to your niche or competitors, and keep a pulse on the community’s opinions. Investors & Analysts: Surface early signals from the tech ecosystem by identifying what’s trending and how the community is reacting. Researchers & Students: Analyze popular discussions and emerging trends in technology, programming, and startups—enriched with AI-generated insights. Digital Agencies & Consultants: Offer HackerNews monitoring and insight reports as a value-added service to clients interested in the tech space. Tools Used n8n: The core automation engine that manages the trigger, transformation, and export. HackerNews API: Provides access to trending or new HN posts. Google Gemini: Enriches HackerNews content with structured insights and human-like summaries. Google Docs: Automatically creates and updates a document with the enriched content, ready for sharing or publishing. How to Install Import the Workflow: Download the .json file and import it into your n8n instance. Set Up HackerNews Source: Choose whether to use the HN API (via HTTP Request node) or RSS Feed node. Configure Gemini API: Add your Google Gemini API key and design the prompt to extract pros/cons, key themes, or insights. Set Up Google Docs Integration: Connect your Google account and configure the Google Docs node to create/update a document. Test and Deploy: Run a test job to ensure data flows correctly and outputs are formatted as expected. Use Cases Tech Newsletter Authors: Generate ready-to-use summaries of trending HackerNews threads. Startup Founders: Stay informed on key discussions, product launches, and community feedback. Investors & Analysts: Spot early trends, technical insights, and startup momentum directly from HN. Researchers: Track community reactions to new technologies or frameworks. Content Creators: Use the enriched data to spark blog posts, YouTube scripts, or LinkedIn updates. Connect with Me Email: ranjancse@gmail.com LinkedIn: https://www.linkedin.com/in/ranjan-dailata/ Get Bright Data: Bright Data (Supports free workflows with a small commission) #n8n #automation #hackernews #contentcuration #aiwriting #geminiapi #googlegemini #techtrends #newsletterautomation #googleworkspace #rssautomation #nocode #structureddata #webscraping #contentautomation #hninsights #aiworkflow #googleintegration #webmonitoring #hnnews #aiassistant #gdocs #automationtools #gptlike #geminiwriter
by Ranjan DailataHow it works The automation loads rows from a Google Sheet of leads that you want to contact. It makes a Google search via Apify for LinkedIn links based on the First name / Last name / Company. Another Apify actor fetches the right LinkedIn profile based on the first profile which is retuned The same process is done for the company that the lead works for, giving extra context. If the lead has a current company listed on their LinkedIn, we use that URL to do the lookup, rather than doing a separate Google search. A call is made to OpenRouter to get an LLM to generate an email based on a prompt designed to do personalized outreach. An email is sent via a Gmail node. Set up steps Connect your Google Sheets + Gmail accounts to use these APIs. Make an account with Apify and enter your credentials. Set your details in the "Set My Data" node to customize the workflow to revolve around your company + value proposition. I would recommend changing the prompt in the "Generate Personalized Email" node to match the tone of voice that you want your agent to have. You can change the guidelines to e.g. change whether the agent introduces itself, and give more examples in the style you want to make the output better.
by Adam JanesDaily Crypto AI Market Insight to Telegram This workflow generates a daily AI-powered crypto market insight and sends it to Telegram using Binance public market data, the Crypto Fear & Greed Index, and Google Gemini. It fetches BTC/USDT daily OHLCV data, calculates technical indicators, builds a structured analysis payload, asks Gemini for a buy/hold/sell confidence breakdown, and delivers the result as a clean Telegram report. It is useful for traders, builders, and crypto enthusiasts who want an automated daily technical summary without manually checking charts. Common use cases: Send a daily BTC market insight to your Telegram Monitor crypto technical indicators automatically Build a personal AI crypto analyst bot Create a lightweight daily trading signal workflow Learn how to combine market data, technical indicators, LLMs, and Telegram in n8n How it works Starts from a Schedule Trigger, which you can customize Sets the trading pair, for example BTCUSDT Fetches 300 daily OHLCV candles from Binance public API Normalizes Binance candle data into readable fields Fetches the latest market price and merges it into the latest candle Fetches the Crypto Fear & Greed Index from Alternative.me Calculates EMA(20), EMA(50), EMA(100), RSI(14), MACD histogram, ADX(14), +DI, and -DI Builds a structured technical payload Sends the payload to Google Gemini Parses Gemini’s response into structured JSON Formats the result into a Telegram message Sends the AI-generated insight to Telegram Setup steps Choose your trading pair in the Set Trading Pair node Connect your Google Gemini credentials Connect your Telegram credentials Set your Telegram chat ID in the Telegram node Adjust the Schedule Trigger if you want a different run time Test the workflow manually Activate the workflow Notes This workflow uses Binance public API data and does not require a Binance API key. The AI insight is generated only from the provided technical payload and should not be treated as financial advice. Need Help? Have questions or want to connect? Reach me on LinkedIn.
by Atha Ahsan Xavier Haris