Hey everyone 👋 I wanted to share a workflow I recently built with n8n that automatically adds a logo or watermark to your images — ideal for content creators, small businesses, or anyone who batch-processes media. 🧩 What it does: • Reads images from a specified Google Drive folder • Retrieves your logo (also stored in Drive) • Resizes the logo and overlays it on each image • Saves the watermarked images to a new Drive folder No external APIs — it’s 100% n8n-native and Google Drive nodes. 🛠️ Tools Used: • Google Drive (for input/output) • Edit Image node (to overlay watermark) • Merge + Loop logic for batch processing • Simple logic to support different image sizes or logo positions 🔄 Use case: I use it to batch watermark travel photos with my brand logo before uploading to Instagram, but it could work for photographers, meme pages, or even ecommerce product photos. Happy to share the JSON or help others adapt it — drop a comment if you’re interested! Would love feedback or suggestions from this awesome community 💡

Hi everyone, A lot of people are stuck on which AI business to start. Here’s a quick way to figure it out: 1. Go to Upwork or Fiverr 2. Search for 'Automation' or 'AI' jobs 3. Scan through until you find problem or build that you understand 4. Build a fast demo with make.com or n8n.io 5. Show it to people by recording quick 2-5 min videos explaining how it will help them specifically (Yes, one video per application. This makes you able to personalize the intro which increases conversion rate) 6. If someone is interested, you have a business. I use this framework to both get clients and figure out new modules to build. Hope you found this useful. Let me know if you have any questions 🙏

Hello everybody. Can someone let me know what I’m doing wrong? My scenario is: I have 100 videos that have been uploaded to Google Drive and their files names have been written in a GoogleSheet. The idea of the workflow is, first, it will look for the filename (Get_rows node) then if the status is “todo” and the video URL is not empty (check one node) it will extract the video URL (extract URL), after that if fileID is not empty (check Two node) it will go to batches and 3 videos will be processed every time. 3 videos will be downloaded, transcribed and my LLM Basic Chain will create a title, description, hashtags etc based on the transcription. My idea is to fill the spreadsheet columns (“title”, “description”, “hashtags” and “x_description”) with the information produced by the LLM Basic Chain node.However, I run into an issue. For example, every 3 videos that are processed (batches) rows 2, 3 and 4 gets updated in the spreadsheet. So basically if I run the workflow twice, the data gets overwritten because rather than adding the new data (second batch of 3 videos) to row number 5, 6 and 7 (for example) the new batch overwrites rows 2, 3 and 4, so I end up with the data from videos 04 (row 5), 05 (row 6) and 06(row 07) in the row 2, 3 and 4. This is hard to explain, but do you understand what I mean? I’ve tried to map this out using the filename (which is unique) and row number but I keep getting this behaviour. What I want is the workflow to fill the rows based on the filename, not overwrite the information. Do you know what I’m doing wrong and how I should fix this? Thanks in advance for your input!

I built a simple system that helps generate YouTube video ideas directly from what viewers are asking for. Here’s how it works: you drop in the URL of any YouTube video in your niche, it scrapes the top 50 comments, then an AI model (Gemini, or any other) analyzes them to pull out requests, questions, and pain points that people want answers to. I put this together because I’m just starting my channel and wanted a way to make videos that people actually want to watch. Figured it might help others too!

Just built a handy workflow that automates YouTube channel research. Here's what it does: 📹 Core Features: - Extracts video data from any YouTube channel - Pulls video transcripts and basic info - Uses OpenAI to create clean summaries - Automatically saves results to Gmail drafts 🛠️ Why This is Useful: Perfect for content creators who want to analyze competitors, researchers studying video trends, or anyone who needs to quickly review a channel's content strategy. The workflow is pretty straightforward but saves a ton of manual work. Instead of clicking through dozens of videos, you get organized summaries in minutes. Sharing the source code below for anyone interested in building something similar or adapting it for their own use case.You need to modify the corresponding apify key and your own openai and gmail account information. What kind of YouTube analysis do you find most valuable? Always curious to hear how others approach content research.