u/Illustrious-Pitch843

I built an open-source n8n pipeline that monitors 78 football journalists on X, extracts structured transfer reports with a local Qwen model, deduplicates and stores revisions in PostgreSQL, optionally adds player data, and sends restart-safe Discord digests every 6 hours.

The whole stack is self-hosted with Docker, with twscrape or RapidAPI for X collection, PostgreSQL for persistence, llama.cpp for local inference, and automated tests around the workflow.

GitHub: https://github.com/louistran2604/transfers_n8n/

I’d mainly like feedback on the workflow architecture, reliability approach, and anything that could make the project cleaner or more useful.

https://preview.redd.it/khvhn0zwqkih1.png?width=1287&format=png&auto=webp&s=c448ae552512a2ce90557b592fa90bd30bfd4c0a

*disclaimer: this was made with the assistance of AI

I built an open-source n8n pipeline that monitors 78 football journalists on X, extracts structured transfer reports with a local Qwen model, deduplicates and stores revisions in PostgreSQL, optionally adds player data, and sends restart-safe Discord digests every 6 hours.

The whole stack is self-hosted with Docker, with twscrape or RapidAPI for X collection, PostgreSQL for persistence, llama.cpp for local inference, and automated tests around the workflow.

GitHub: https://github.com/louistran2604/transfers_n8n/

I’d mainly like feedback on the workflow architecture, reliability approach, and anything that could make the project cleaner or more useful.

https://preview.redd.it/khvhn0zwqkih1.png?width=1287&format=png&auto=webp&s=c448ae552512a2ce90557b592fa90bd30bfd4c0a

*disclaimer: this was made with the assistance of AI

I built an open-source n8n pipeline that monitors 78 football journalists on X, extracts structured transfer reports with a local Qwen model, deduplicates and stores revisions in PostgreSQL, optionally adds player data, and sends restart-safe Discord digests every 6 hours.

The whole stack is self-hosted with Docker, with twscrape or RapidAPI for X collection, PostgreSQL for persistence, llama.cpp for local inference, and automated tests around the workflow.

GitHub: https://github.com/louistran2604/transfers_n8n/

I’d mainly like feedback on the workflow architecture, reliability approach, and anything that could make the project cleaner or more useful.

https://preview.redd.it/khvhn0zwqkih1.png?width=1287&format=png&auto=webp&s=c448ae552512a2ce90557b592fa90bd30bfd4c0a

*disclaimer: this was made with the assistance of AI

https://preview.redd.it/r3peaty1rd3h1.png?width=1920&format=png&auto=webp&s=7a40310d217ecd5c6c85c24437a05df4ab6ebc8d

https://preview.redd.it/tp7uphp2rd3h1.png?width=1920&format=png&auto=webp&s=31937304b1815263769627aff337d7abd735ed42