FenxChat is the intelligent AI chat app that auto-routes each message to the best model—faster, cheaper, greener. No tracking, no storage, and zero training on your data. Built in Europe for privacy, performance, and peace of mind.
🚀 Hello Product Hunt!
We’re excited to launch FenxChat AI — your new go-to chat app that connects you to the world’s best AI models, intelligently and privately.
🤖 One App. Every Model. Zero Data Stored.
Most AI apps ask you to choose a model, manage multiple tools, or trade performance for privacy. FenxChat changes that — with dynamic model routing, real-time optimization, and no tracking or data storage. Ever.
🔑 What makes FenxChat different:
🔁 Smart Model Routing — Picks the best model for each message, instantly
🔒 Total Data Privacy — Nothing stored or shared; stays on your device
🌍 Sustainable Compute — Reduces energy usage by avoiding model overkill
🧩 No Lock-In — Cross-provider, frictionless access
🛡️ Built in Europe — Rooted in transparency, ethics, and data sovereignty
Whether you're an AI enthusiast, builder, researcher, or privacy-first user, FenxChat is designed to empower your conversations—without compromise.
We’d love your feedback, questions, and thoughts on what you'd want to see next. Let’s build the future of AI interaction together. 👇
– Carl & the FenxLabs team
@ajay27324 Thank you so much! We truly appreciate your support. We're excited about what's ahead—we have a clear roadmap and are gearing up to roll out across multiple platforms, including desktop, in the coming months. Stay tuned!
Really into the privacy-first angle—rare in the AI chat space. One thing I’m curious about: how does FenxChat decide which model to route a message to? Is it rules-based, or learning from usage patterns over time?
@shreyans_assistiv Thank you so much for the kind words and thoughtful question! To answer it: we actually don't rely on fixed rules or usage-based learning alone. Instead, our backend dynamically routes each message based on the complexity and specific characteristics of the input. Different models excel at different tasks, so intelligently matching the message to the most capable model is essential for delivering the best possible result.
Replies
Impressive idea and execution , hoping for better growth of the product worldwide.
@ajay27324 Thank you so much! We truly appreciate your support. We're excited about what's ahead—we have a clear roadmap and are gearing up to roll out across multiple platforms, including desktop, in the coming months. Stay tuned!
Really into the privacy-first angle—rare in the AI chat space. One thing I’m curious about: how does FenxChat decide which model to route a message to? Is it rules-based, or learning from usage patterns over time?
@shreyans_assistiv Thank you so much for the kind words and thoughtful question! To answer it: we actually don't rely on fixed rules or usage-based learning alone. Instead, our backend dynamically routes each message based on the complexity and specific characteristics of the input. Different models excel at different tasks, so intelligently matching the message to the most capable model is essential for delivering the best possible result.