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Omar-Tnzxo/README.md
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👋 About

I’m Omar Hassan — builder ID TNZXO. I work where engineering, product, and go-to-market meet: shipping software, structuring AI workflows, and growing real-world products — not slides alone.

Professionally (public LinkedIn): Founder & CEO of CalcRealty (real-estate calculator app), and Content & Social Media Specialist at The Avenue Advertising Agency — heavy focus on real estate brands, funnels, and performance-led content. Based in 6th of October / Sheikh Zayed, Egypt.

Academic: Bachelor’s track in Management Information Systems (Administrative Information Systems), Pharaohs Higher Institute (2022–2026).

I connect how things are built with why they matter in the market — tech fluency + audience fluency.


📌 Snapshot

🌍 Location Egypt (Giza / Sheikh Zayed area)
🏢 Focus Real estate tech · marketing ops · AI-assisted workflows
💻 GitHub @Omar-Tnzxo · 7 public repos · active 2024–2026
🌐 Languages Arabic (native) · English (working — per public profile)

🎯 What I optimize for

Pillar In practice
🧱 Ship End-to-end: idea → codebase → iteration
📈 Grow Content systems, funnels, and metrics — not vanity posts
🤖 Leverage AI Prompt packs, agent-style workflows, guardrails (see repos below)
🏠 Domain Deep in real estate — product + marketing + ops context

🏆 Product spotlight — CalcRealty

Founder-led real estate calculator app — product, strategy, and growth in one loop.

Per public LinkedIn: 2,000+ downloads and 1,500+ registered users; roadmap includes richer exports, listings, and news — positioning as a full digital layer for the industry.

🔗 Product / store links: share best official URLs in your GitHub bio or here when stable.


📂 Public GitHub repositories

Live from /users/Omar-Tnzxo/repos — descriptions are from each repo.

Repo Stack / type What it is
ulp-lab Rust · Tauri · React Desktop app: scan text folders for domain or regex matches → local results/. MIT
principal-ai-protocol Python “Vibe coding” framework: 58 strict engineering rules for AI-assisted dev. MIT
egypt-mentor-agent Prompts / agent kit Open mentor-style prompts for Egypt-focused decisions & follow-up. MIT · tagged llm, egypt, prompt-engineering
ApiScan-Ai TypeScript AI Key Sentinel & API Status Scanner
PopNote-Extension JavaScript Chrome extension: notes, offline, dark mode, sync, shortcuts
MyOrange-Accounts-Checker Python Utility script (add a one-line README in-repo to clarify scope)
Omar-Tnzxo Profile README (this content belongs here)

Themes across repos: desktop tooling, AI discipline (protocol + regional mentor agent), browser extension, API hygiene.


🧩 Skills (honest)

Engineering & product
Area Notes
Languages Python · JavaScript · TypeScript · Dart · HTML/CSS
Clients Chrome extension · Tauri desktop · React
Data / backend REST · SQL/NoSQL concepts · Supabase / Firebase where needed
Workflow Git · GitHub · Windows & Linux
AI, prompts & growth
  • Principal-style rulesets for AI coding (principal-ai-protocol)
  • Regional agent/mentor prompts (egypt-mentor-agent)
  • Marketing: content strategy, organic funnels, account management, performance review (per LinkedIn experience)

🧠 Principles

Systems over hacks Clarity over noise
Shipping over slides Leverage over busywork

If it doesn’t compound, it’s optional.


📊 GitHub activity

Contribution streak



GitHub stats Languages by repo

Charts reflect public GitHub data only.


🌍 Connect

Website omarhassan.site
LinkedIn in/omar-tnzxo
Email omar.agha.info@gmail.com

📩 Open to collaboration, serious product conversations, and select opportunities.


⚠️ Disclaimer

  • LinkedIn: narrative and metrics (e.g. downloads/users) come from your public profile — update this README if numbers change.
  • Repositories: some business systems stay private; public repos are samples of direction, not the full commercial scope.
  • Third-party images (stats cards) depend on external hosts; if a badge fails, refresh later.

TNZXO · Build · Ship · Learn · Repeat


README refreshed from GitHub + LinkedIn · 2026

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    Open-source mentor-style AI agent prompts for Egypt-focused decisions, execution, and follow-up.