Most emails are just… noise.

So I built a system that automatically reads, classifies, and turns emails into actual actions.

What it does:

• Pulls emails via IMAP
• Uses AI to classify them (support, invoice, meeting, etc.)
• Extracts useful data (priority, summary, attachments)
• Stores everything in PostgreSQL
• Triggers actions → Slack, Zendesk, Google Calendar

What’s new (Part 2):
I added a frontend dashboard so you can actually see what's happening behind the scenes.

• Real-time email tracking
• Workflow status monitoring
• Clean UI to visualise the pipeline

👉 https://email-management-automation.vercel.app/

Still a work in progress, but aiming to make it production-ready.

Curious how others are handling email automation — any suggestions or improvements?

https://preview.redd.it/mgf9jqhtw5tg1.png?width=1207&format=png&auto=webp&s=5b7fe8358ce5bba3e057baed9576223b7d7fbf40

https://preview.redd.it/tfqx0q6k36tg1.png?width=2566&format=png&auto=webp&s=2120617d258131b29835170791e2eb2d5976c396

Crypto News + AI Trade Opportunity Scanner (POC)

Hey everyone 👋

I built a small end-to-end data pipeline that:

• Detects active crypto (gainers, losers, volume)
• Pulls news from multiple sources
• Uses AI to explain why prices are moving
• Outputs structured insights via an API (n8n backend)

👉 Goal: Not just what is moving — but why it’s moving

🔗 Demo

https://macaies.github.io/Crypto-Market-Intelliggence-Pipeline/crypto-dashboard.html

💻 GitHub

https://github.com/Macaies/Crypto-Market-Intelliggence-Pipeline

⚠️ Just a POC / learning project — not financial advice

Would love feedback on:

• Pipeline design
• Features to add
• Making it production-ready

https://reddit.com/link/1sbx0rv/video/0qc0f0aa23tg1/player