
“I built a machine that reads faster than I can.”
I’m Moe Sbaiti. I run 4 businesses simultaneously. I have spent 16 years in operations, learning the hard way that every dollar has to justify itself, every tool has to earn its place, and every minute lost to busywork is a minute stolen from real growth.
The Problem
When AI tools started launching by the hundreds every month, I tried to keep up the way most people do. I subscribed to newsletters. I followed analysts on X. I bookmarked articles I would never read.
It didn’t work. Nobody can read 50 launches per week and run a business at the same time. The signal-to-noise ratio is broken.
The Solution
So I built something different.
An automated intelligence pipeline that monitors 100+ sources every 4 hours. OpenAI, Anthropic, Google DeepMind, Hugging Face, ArXiv, Hacker News, Reddit, GitHub Trending, and more.
It processes every signal through two AI analysis passes using Gemma 4 via the Gemini API. It scores each one across 5 measurable proxy signals: Community Adoption, Pricing Model, Benchmark Data, Expert Sentiment, and Release Maturity. Items that do not hit the quality threshold get cut. The 10% that survive reach my review queue.

How It Works
I review every draft before anything publishes. Approvals, edits, and rejections happen through a Telegram review queue, so I can make decisions from anywhere in under 15 minutes a day. Approve it. Edit it. Kill it. Nothing goes live without that decision.
Then the system delivers what survives: X, LinkedIn, and a weekly newsletter called The AI Profit Wire. The website becomes the permanent intelligence library, with full Hype Check breakdowns of every tool I cover.
Three Pillars
TESTED. Every recommendation is backed by data. Not opinion. Not sponsorship. Not gut feeling.
TRUTHFUL. If a tool is overhyped, I say so. If a tool I earn commission on has a billing trap, I expose it. The Hype Check scores are never influenced by affiliate relationships. That is non-negotiable.
PROFITABLE. Every analysis answers one question: does this make a small business owner money or save them time? If the answer is no, it does not pass.
My Background
My background is what makes this work. I am not an AI researcher. I am not a data scientist. I am a business owner who has lived in restaurants, fitness studios, ecommerce stores, web dev contracts, and marketing campaigns.
I know what running a business actually costs. I know what owners actually need. And I know how to translate “this AI model has 70 billion parameters” into “this saves you 3 hours a week for $29 a month.”
Subscribe
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Test. Cut. Share.