metrIQ

metrIQ is an AI fitness and nutrition coach that works through conversation rather than forms and dashboards. Founded in 2026 by engineering leader Nikos Zinas, it targets people who want coaching guidance without manual tracking.

metrIQ is an AI fitness and nutrition coach built around conversation instead of forms, trackers and dashboards. Rather than asking users to log every entry into a spreadsheet-style interface, it puts a dialogue at the center of the experience, so guidance on training and eating comes through chat. The product is the work of Nikos Zinas, an engineering leader based in Thessaloniki, Greece, who founded metrIQ in January 2026 and builds it directly. His background covers more than 20 years of web development, a co-founded startup that was acquired, and a current role as Head of Engineering at PBLWorks, an ed-tech non-profit. The homepage describes metrIQ as a bootstrapped product, with the founder handling product strategy, AI engineering and full-stack development himself. The source is the founder's personal site rather than a product page, so operational detail is thin. It does not list features, plans, prices, supported devices or integrations. What it does establish is the design philosophy: a coach that works through conversation, positioned against the log-everything approach of conventional fitness and calorie-counting apps. The founder also notes a measured attitude toward AI, focused on where it changes how software is made and on adopting it without being driven by hype. For prospective users, metrIQ suits people who find manual logging tedious and would rather ask questions and get direct answers about workouts and meals. It sits among AI coaching apps and general chat assistants, but with a narrower domain focus on fitness and nutrition. Anyone evaluating it should visit the product site at metriq.fitness to confirm current capabilities, pricing and platform availability, since none of that is documented in the material reviewed here. As a young, single-founder product, it is best viewed as an early entrant with a clear concept and an unproven track record.