Building the Open AI & Data Platform
Open Web Lab is an independent research and engineering platform focused on making artificial intelligence, data science, and biosignal analytics accessible to everyone — completely free, privacy-first, and open by default.
Our Mission
The gap between cutting-edge AI research and everyday practical use is enormous. Most powerful ML tools either live behind expensive SaaS paywalls or require deep technical expertise to run locally.
We bridge that gap by building interactive, browser-based demonstrations of real AI techniques — sentiment analysis, text generation, sleep scoring algorithms, heart rate variability metrics — and documenting exactly how they work.
Everything runs statically: no server, no database, no sign-up. Your data never leaves your device.
Open Science
All algorithms and methodologies are documented publicly. No black boxes, no paywalls.
Privacy First
No tracking cookies. No personal data collected. Your interactions stay in your browser.
Accessible AI
Real ML tools should not cost hundreds of dollars a month. Everything on this platform is free.
Data Literacy
Our blog and code examples are designed to teach — not just impress. Learn by doing.
Technology Stack
Built with modern, production-grade tools for performance and maintainability.
Next.js 14
Static site generation (SSG)
TypeScript
Type-safe development
Tailwind CSS
Utility-first styling
Recharts
Interactive data visualisation
Python / FastAPI
AI & ML backend (roadmap)
Nginx / Hetzner
Fast static hosting in EU
Deployed on Hetzner CX11 (EU, €3.29/mo) — static files via Nginx, ~2–5 MB RAM usage, 99.9% uptime. No Node.js runtime required in production.
Project Timeline
Project concept and architecture designed
AI sentiment analysis and text generation demos launched
Biosignal dashboards: sleep, stress, HRV analytics
Data Lab launched with YouTube trends & project tracker
FastAPI AI backend & real-time biosignal integration (roadmap)
Expertise & Transparency
Start Exploring
Try the free AI tools, explore the biosignal dashboards, or dive into the data science blog.