I built MetricSync after getting annoyed with how clunky most nutrition apps feel once you move past perfect single-item meals.
The pitch is simple. It is cheaper than CalAI, gives you more ways to log food with photo, barcode, and natural language input, and we have been pushing hard on better accuracy for messy real meals instead of just clean product shots.
Been testing AI nutrition trackers hard and kept running into the same thing: CalAI is solid, but I wanted something cheaper with more features and better accuracy on real meals.
So I built MetricSync.
It is an AI nutrition tracker with a 3 day free trial: www.metricsync.download
Main goal was making logging fast without getting garbage estimates back. Right now the pitch is pretty simple: cheaper than CalAI more features better accuracy in my testing
The one thing most professionals want fixed is turning I say I can do this into it s obvious I can do this. That s really the gap. Right now the hiring process is built on claims. Having a way to make capability visible and trusted upfront, would remove a lot of the guesswork on both sides. That s where VERYFY is heading; moving away from static CVs/resumes toward more capability-based ways of showing what you can actually do. #BuildingVERYFY
I highly suggest for everyone building with AI s to consider codeframes, my ai coding chatbot It has the potential to reshape the way you code with or without AI Keep in mind it currently does lack some technical features but neither the less the premise is the same https://www.codeframes.app/