CLUSTER MEAL-DECIDE-EAT · 19 ENTRIES · EARLIEST ENTRY 2024-10-01
meal decision apps
The cluster comprises 13 similar products that help users decide what to eat via random selection, preference-based suggestions, or interactive tools. The dated history before the index start shows sporadic single entries across seven months (Sep 2024, Oct 2024, Feb 2025, Mar 2025, May 2025, Sep 2025, Jun 2026), with no clear trend. Traction leaders are what-to-eat, sandwich-ponderer-deluxe, and What to Eat: Meal Planner, each with 0 stars.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 8 ai-built · 11 unlabelled
Operator · 7 hobby · 2 open source · 10 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 19 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01mcd-1024-skill2★3 daysliveai-builthobbyBrowser extension that compares McDonald's combo prices, selects meals via a wheel, and suggests meals based on taste, weather, and past orders.
- 02kyakhayen-postgres0★3 daysliveWeb app that helps users decide what to eat by presenting meal options.
- 03NutriMenuQR-Project0★23 daysliveai-builtQR-based restaurant menu that lets customers choose between normal and healthy options, showing calories, nutrition details, and fitness-friendly choices.
- 04your-menu-pal0★18 days—Meal helper that recommends dishes from menus based on user preferences and dietary restrictions.
- 05what-to-eat0★1 moliveApp that helps users decide what to eat by suggesting food choices.
- 06What to Eat: Meal Planner0★1 moliveMeal decision app that randomly picks a meal from saved ingredients, dishes, restaurants, and taste tags when the user cannot decide what to eat.
- 07daily-delight-finder-028999d90★1 moliveai-builthobbyApp that recommends small daily treats or indulgences tailored to a user's mood and preferences.
- 08makan_apa_app0★1 mo—App that helps users decide what to eat by suggesting meals based on preferences.
- 09sandwich-ponderer-deluxe0★1 molivehobbyWeb app that helps users ponder sandwich choices and decide what to eat.
- 10Kin Nai D0★2 yrabandonedliveopen sourceMobile app that helps users decide what to eat by randomly suggesting meal choices, resolving daily lunch or dinner indecision.
- 11eat-what-today2★1 yrabandoned—ai-builthobbyApp that recommends what to eat today based on a user's food preferences and cravings.
- 12Picker0★7 mostaleliveopen sourceDesktop utility that randomly selects one option from a user-supplied list to help decide everyday choices like meals or activities.
- 13quicknest-moodfood-play0★9 mostale—ai-builthobbyWeb app that recommends meals and recipes tailored to the user's current mood, helping people quickly decide what to eat.
- 14AI Meal planner: Easy Recipes0★1 yrabandonedliveMobile app that helps couples decide on dinner by weighting favorite recipes, suggesting meal options, and letting both partners vote separately.
- 15diabetic-dish-dialogue-600★1 yrabandonedliveai-builtWeb app that provides diabetic-friendly meal suggestions through interactive dialogue.
- 16healthy-bite-suggester-using-lovableAI0★1 yrabandoned—ai-builthobbyWeb app that suggests healthy snack options based on user preferences.
- 17Lovable App0★unknownliveai-builtApp that helps users decide what to eat when they cannot choose a meal.
- 18Dishes Helper0★unknownliveWeb app that helps people choose what to eat by comparing dishes and selecting the most appealing option.
- 19Anything, Whatever0★unknownlivehobbyWeb app that generates random food suggestions based on user preferences to help with decision fatigue.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.