This n8n workflow automates the complete process of researching trending topics, generating enhanced blog content, creating AI images, and building professional landing pages. The workflow leverages reverse engineering techniques to generate AI images for free and implements advanced proxy solutions for optimal performance.
- Research Engine: Perplexity API integration for trending topic discovery
Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.
- Follow standard conventions.
- Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
- Boy scout rule. Leave the campground cleaner than you found it.
- Always find root cause. Always look for the root cause of a problem.
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| name: Build Streamely App | |
| on: | |
| workflow_dispatch: | |
| push: | |
| branches: | |
| - main | |
| pull_request: | |
| branches: | |
| - main |
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| // Website you intended to retrieve for users. | |
| const upstream = 'api.openai.com' | |
| // Custom pathname for the upstream website. | |
| const upstream_path = '/' | |
| // Website you intended to retrieve for users using mobile devices. | |
| const upstream_mobile = upstream | |
| // Countries and regions where you wish to suspend your service. |
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| class MyProvider with ChangeNotifier { | |
| List<dynamic> responseBody; | |
| String errMsg = ""; | |
| //for movies | |
| Future<void> getSub(id) async { | |
| try { | |
| HttpClient client = new HttpClient(); | |
| client.userAgent = 'TemporaryUserAgent'; | |
| HttpClientRequest request = await client.getUrl(Uri.parse( |
#Linux Cheat Sheet
##File Commands:
- ls – directory listing
- ls -al – formatted listing with hidden files
- cd dir - change directory to dir
- cd – change to home
- pwd – show current directory
- mkdir dir – create a directory dir
- rm file – delete file
