IP-Find: A Free IP Intelligence and Network Diagnostic Tool What I Built

What I Built

Hey everyone! 👋

I'm excited to share my latest project: IP-Find.

I'm a no-code enthusiast interested in AI, web scraping, IP intelligence, and network technologies. With the help of AI-powered development tools, I built IP-Find to make IP detection and network analysis more useful and accessible.

Unlike traditional IP lookup tools that mainly provide basic location information, IP-Find combines multiple public IP intelligence sources to provide a more comprehensive view of an IP address.

Key features include:

• 🌍 IP Lookup: Detect public IPv4/IPv6 addresses, geolocation, ISP, and ASN information.
• 🔍 Multi-Source Detection: Integrate 16 public IP intelligence sources across different categories for cross-reference.
• 🤖 AI IP Risk Scoring: Evaluate IP network characteristics for services such as ChatGPT, Claude, Gemini, and more.
• 📊 Scenario-Based Assessment: Provide reference risk assessments for AI applications, TikTok, social media, and cross-border e-commerce.
• 🛡️ Network Diagnostics: Detect potential WebRTC leaks and provide DNS diagnostics.
• ⚡ Connectivity Testing: Test network connectivity to selected websites and AI platforms.
• 🔗 Free JSON API: Allow developers to integrate IP lookup functionality into their own projects without API key registration.

One of the features I'm most excited about is the AI-oriented IP scoring system. Instead of using one universal standard, IP-Find applies different reference rules based on the target platform and usage scenario.

My goal is to make IP information more actionable for developers and technical users.

Demo

🌐 Live Website: https://ip-find.com/

Try it yourself! You can check your current IP, explore multiple intelligence sources, test network connectivity, and view AI-oriented IP risk assessments.

API Documentation: https://ip-find.com/docs

Scoring Methodology: https://ip-find.com/ai-ip-method

No registration required. Just open the website and give it a try!

Partner Technologies

I built this project with the help of AI-powered development tools and a no-code development workflow.

AI played an important role in helping me explore technical solutions, develop features, refine detection logic, and turn ideas into a working product.

I also integrated multiple public IP intelligence providers and network data sources to build a more comprehensive IP analysis experience.

I haven't integrated a specific MLH partner technology into this project yet, but I'm looking forward to exploring more technologies and learning from the community.

Hackathon Experience

This project represents my enthusiasm for AI-assisted development and building useful tools as an independent creator.

I'm still learning, experimenting, and improving my development skills. Participating in the DEV community challenge is a great opportunity for me to share what I've built, discover new technologies, and connect with developers who have similar interests.

Since IP-Find is still a newly launched project, I'm especially looking forward to receiving feedback from the community.

I'd love to hear your thoughts!

• What other IP intelligence sources should I integrate?
• What features would make this tool more useful?
• How could I improve the current IP risk scoring methodology?

Feel free to try it, share your feedback, or suggest new ideas!

Thanks for checking out my project. Let's keep building and learning together! 🚀

Project: https://ip-find.com/