Analyze Google Forms feedback with Gemini AI and send weekly reports

Create a Brand Strategy with ChatGPT and Notion

Develop a dynamic brand strategy with the help of ChatGPT’s AI analysis, integrated with Notion’s organizational tools. This setup enables you to map out and adjust your strategy with precision and ease. Estimated number of ChatGPT tokens used by this template: 4,000 tokens for prompts and 1,000 tokens for a completion. What are tokens and how to count them?

Scrap prices from any page with HTML/CSS, Cloud Vision and MonkeyLearn

This template helps you perform data mining on on a website at regular intervals. First, a screenshot of the url is taken via HTML/CSS. Then, the screenshot's text is recognized with Google Cloud Vision (OCR) and the price is automatically extracted with a MonkeyLearn machine learning model. Eventually, the result is stored in Google Sheets.

Track daily brand mentions from Hacker News to Slack with GPT-4o-mini sentiment analysis

Description Monitor daily brand visibility and reputation with an automated AI-powered mention tracker. 🔍🤖 This workflow checks Hacker News every morning for new stories matching your brand keyword, classifies each mention’s sentiment and urgency using GPT-4o-mini, and delivers a clean daily summary to Slack. If no mentions are found, the workflow sends a simple “no mentions today” update instead—ensuring your team is always informed without manual monitoring. Perfect for reputation tracking, co

BrowserAct Capterra Alternative Finder

This template automates software-alternative research using Capterra. The user sends a product name through Telegram, and the scenario identifies the intent using Make AI Toolkit. BrowserAct then visits the Capterra product page, enters the product name, opens the corresponding result, scrolls to the alternatives section, and extracts structured data from both “Top Alternatives” and “All Alternatives.” The scraped information includes product titles, pricing, free-trial options, satisfaction sco

The title is very good, clearly conveying the template's purpose while mentioning key technologies

How it works - Collects articles from your preferred RSS feeds. - Rates and tags each article using an AI model (e.g., QWEN 14B-s4), filtering for relevance and quality. - Summarizes high-rated articles with a language model (e.g., Gemma3 4B) for quick, digestible reading. - Checks for duplicates to avoid sending the same article twice. - Formats and sends the top articles as an HTML newsletter via Gmail, using OAuth2 authentication. - Stores records in a Postgres database, tracking which a

Extract and process healthcare claims with VLM Run, Google Drive and Sheets

Automatically process healthcare claims into structured Google Sheets entries with VLM Run extraction What this workflow does Monitors Google Drive for new files in a target folder Downloads the file inside n8n for processing Sends the file to VLM Run for AI transcription or analysis Fetches extra details from the healthcare.claims-processing domain as JSON Appends normalized fields to a Google Sheet as a new row Setup Prerequisites: Google account, VLM Run API creden

Send personalized LinkedIn connection requests with Google Sheets and Unipile

Send personalized LinkedIn connection requests automatically using n8n, Google Sheets, and Unipile — with built-in safety limits, duplicate prevention, and full invitation tracking. --- Scale your LinkedIn outreach without manually sending a single connection request. This workflow reads your leads from a Google Sheet, filters out already-contacted prospects, and sends each one a personalized connection note via LinkedIn — automatically, on a schedule, and safely within LinkedIn's limits. Built

Generate Twitter content in personal style with OpenAI & Supabase RAG

Self-Learning X Content Engine (Creator RAG Booster) Learn your voice. Generate posts that sound like you — not AI. 🧩 Overview This n8n workflow builds a personal RAG (Retrieval-Augmented Generation) system for creators. It learns from your own past posts and generates new tweets, replies, and image prompts in your tone. ⚙️ How it works Step 1 — Ingest - Use the “Add to KB” Form to upload your past posts or notes. - Text + metadata (topic, style) are stored in Supabase as vectors. Step 2 — Gene