An AI kitchen assistant concept — plans a household's dinners for the week around what's already in the kitchen, and turns the plan into one grocery list.
Deciding what to cook every night is a small decision repeated constantly, and it's the one that quietly drives the most wasted groceries and last-minute takeout — not because people don't want to cook well, but because planning ahead takes more effort than most evenings allow.
The goal is a full week of dinners planned around a household's taste, the season, and what's already in the pantry — reconciled automatically into a single grocery list — with a guided, step-by-step "cook mode" that sequences timers across multiple dishes at once.
Mealio exists today as an interactive HTML/CSS/JS prototype covering Home, Weekly Menu, Recipe Detail, Market List, and Cook Mode, plus a marketing landing page with a waitlist. It's honestly a prototype, not a live product yet: there's no backend, and no tech stack decision has been made for one. When it needs a backend, the plan is to default to the same Supabase + Vercel pattern already proven twice over in Profity and Kaspit, instead of re-evaluating options from scratch.
The design direction is locked and validated through a full clickable prototype. It isn't a working product yet — the next step is the backend decision above, then building the real app behind the prototype rather than shipping the prototype itself.