Enhancing Email Security: A Look at Proton.me Address Compliance

Enhancing Email Security: A Look at Proton.me Address ComplianceEnhancing Email Security: A Look at Proton.me Address Compliance

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Alexander Yatskov

pro

• Apr 10

Oh man, these email accuracy and security checks are something else. One company doesn't allow addresses @proton.me and @pm.me. Says they're "not secure". But it happily accepts Proton's one-time/disposable addresses.

Nisbah Iqbal

• 21h

AI Email Sorter & Reply Drafter (n8n + Gemini)

Problem: Business owners lose leads and payment emails inside a crowded inbox, and replying late costs them clients.

What I did: I built an n8n automation that reads every new Gmail message, uses Google Gemini AI to sort it into the right category, and then:

labels it in Gmail

sends an instant Discord alert for urgent emails (security, payments, new client inquiries)

saves job, payment and lead details to Google Sheets

writes a reply draft for me to approve

Replies are never sent automatically. Every draft waits for a human check, so you stay in control.

Tools: n8n, Gmail, Google Gemini AI, Google Sheets, Discord.

Outcome: A working demo, tested with sample emails sent from a second Gmail account, as shown in the video.

Role: Nisbah Iqbal, AI Automation Builder🔥

N8N Email Automation AI Automation Business Workflow Automation Google Gemini

Nikhil Lakra

• 15h

ProofStack: building verification for AI-proposed code fixes

Nebius x NVIDIA AI Hackathon prototype

The problem • AI tools suggest security fixes that look right but can break the build or something else

The idea • The model only proposes a patch • Deterministic checks should decide whether it is accepted

Intended workflow Step 1 - Prove the vulnerability with a probe or test Step 2 - NVIDIA Nemotron (via Nebius) proposes a scoped patch Step 3 - Verification gates check it: syntax, lint, security re-test, regression, concurrency, performance, resources, patch hygiene Step 4 - The result is recorded in a SHA-256 hash-chained ledger

What I built • Sandbox isolation • Benchmark testing • Verification gates • Evidence ledger with a tamper simulator

Where it stands • The verification gates are implemented as standalone modules • End-to-end orchestration is still demo-stage • The hosted demo and screenshots below use sample data • Not client work

Stack: Next.js, FastAPI, Python, Docker, NVIDIA Nemotron

Demo: https://proofstack-app.vercel.app/ Code: https://github.com/nikhillakra2007-tech/ProofStack 2-min video: https://youtu.be/EsdJ2vkg5HA

Open to remote full-stack and AI-integration work (Next.js, FastAPI, Python).

Nazia Durani

• 1d

Does your inbox get flooded with emails every day?

Client messages, invoices, meeting requests, follow-ups... and somewhere in that mess is an important email you forgot to reply to.

Reading every email, deciding what's urgent, and keeping track of follow-ups shouldn't take up half your day.

That's why I built Smart Gmail Triage Automation.

It's an AI-powered inbox assistant built with n8n, Gmail, and OpenAI.

Here's what it can do:

→ Read and categorize incoming emails → Flag urgent messages and organize your inbox with labels → Turn important emails into Google Tasks → Create calendar reminders for follow-ups → Prepare reply drafts for you to review and send

The goal is simple: spend less time sorting emails and more time getting actual work done.

I've shared the full workflow and technical case study on my Contra profile. Feel free to check it out!

Dealing with inbox overload? Send me a DM. I'd be happy to discuss an automation built around your workflow.

#AIAutomation #EmailAutomation #n8n #Gmail

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