LeadHunter AI Desk: A modern 3.3MB AI Desktop Suite built with VisualNEO Win + WebView2 - Forum

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LeadHunter AI Desk: A modern 3.3MB AI Desktop Suite built with VisualNEO Win + WebView2

Hello everyone!

I wanted to share a new complete, open-source Windows application that I recently built with VisualNEO WinLeadHunter AI Desk.

The main goal of this project was to demonstrate what a modern 2026 application built with VisualNEO Win looks like when paired with Microsoft Edge WebView2Tailwind CSS, and modern AI APIs.

Unlike bloated Electron desktop apps that take 200MB and consume 600MB of RAM, the compiled standalone portable package of LeadHunter AI is under 3.4 MB, launches in less than 0.2 seconds, and runs with native Win32 performance!


🚀 What does the app do?

LeadHunter AI Desk is an autonomous B2B cold outreach and email personalization tool:

  • Multi-Model AI (OpenRouter API): Connects to DeepSeekClaude or OpenAI GPT under a BYOK (Bring Your Own Key) model to write hyper-personalized cold emails for pennies.
  • Firewall-Proof Sending (SMTP2GO REST API): Sends emails securely over HTTPS (Port 443), completely bypassing port 25/587 firewall blocks.
  • Modern Dark-Mode UI: Built with Tailwind CSS and rendered via WebView2 with bidirectional messaging to VisualNEO Win.
  • Anti-Spam Throttling: Configurable delays to protect domain reputation.
  • 100% Local & Private: All leads (CSV drag-and-drop) and credentials stay stored locally in config.ini.

🛠️ Full Source Code Available on GitHub

The entire project (including the editable LeadHunterAI.pub publication, app.html, templates, and precompiled binaries) is now freely available under the MIT License:

👉 GitHub Repository: https://github.com/sinlios/leadhunter-ai-desk

👉 Pre-compiled Windows Release (.exe & .zip): https://github.com/sinlios/leadhunter-ai-desk/releases/tag/v1.0.0


💡 How the Architecture Works

If you want to inspect how WebView2 and VisualNEO Win talk to each other:

  1. Open LeadHunterAI.pub in VisualNEO Win.
  2. Check the bidirectional messaging between the native runtime and the HTML5 frontend:
    • VisualNEO sends data to WebView2 using wvPostMessage.
    • The UI communicates back user actions through :OnWebMessageReceived.
  3. Press F9 to test, or compile it straight to a standalone .exe.

⭐ A small favor: Help give VisualNEO Win more visibility!

I am currently promoting this project across developer communities (Reddit, Hacker News, Dev.to) to showcase VisualNEO Win as a powerful, lightweight alternative to Electron and Tauri.

If you have a GitHub account, please leave a Star ⭐ on the repository:
https://github.com/sinlios/leadhunter-ai-desk

Stars really help GitHub's algorithm recommend the repository to other developers exploring Windows tools.

I'd love to hear your thoughts, feedback, or any suggestions for improvements!