About
About Axon Review
Axon Review is an independent AI news aggregation and intelligence platform built to help readers track the most important developments in artificial intelligence without drowning in repetitive headlines, noisy commentary, or bloated newsletters.
Founded in 2025, Axon Review is dedicated to one of the most transformative technologies of our time: artificial intelligence. The mission is to cut through the noise and deliver a curated, comprehensive, and clear view of the AI landscape — with news, research, product insights, and more.
The platform uses a custom machine learning pipeline to scan, parse, classify, and organize hundreds of articles from news outlets, technology publications, business media, research sources, and other high-signal channels.
Whether you are an engineer, researcher, investor, founder, builder, or simply curious about AI, Axon Review is designed to help you quickly understand what changed, why it matters, and what to watch next.
Mission and system notes
System Overview
How Axon Review Works
A concise overview of the data pipeline, ML classification system, story clustering logic, and full-stack architecture behind Axon Review.
Manifesto
The Axon Review Manifesto
Why Axon Review exists, what it is trying to fix, and how it approaches AI news differently.
Creator and engineer
Built by Rakesh Bhatia
Rakesh Bhatia is the creator and technical builder of Axon Review, a production-grade AI news intelligence platform built around machine learning classification, story clustering, data pipelines, and full-stack product design. His work focuses on turning fragmented information streams into structured, searchable, and useful intelligence.
Rakesh is a trained Computer Engineer and ML Engineer with full-stack web development capabilities across Python, FastAPI, PostgreSQL, Redis-backed worker systems, SvelteKit, and modern frontend deployment workflows. With the help of AI-assisted coding, he designed and built Axon Review from the ground up, including its ingestion pipeline, ML classification workflow, story grouping system, backend APIs, database structure, and user-facing web application.
He is available for freelance, consulting, and full-time engineering opportunities involving machine learning systems, data pipelines, AI-powered web applications, FastAPI backends, SvelteKit frontends, and production-grade full-stack product development.